Lorenzo Placidi

Scopus Publications

Incorporating Individual Early Response in the Dose-Effect Relationship of Complete Pathological Response Following Neoadjuvant Radiochemotherapy for Rectal Cancer
Alessandro Cicchetti, Martina Mori, Paolo Passoni, Sara Broggi, Michele Reni, Francesco De Cobelli, Riccardo Rosati, Lorenzo Placidi, Angela Romano, Giuditta Chiloiro, Luca Boldrini, Maria Grazia Gambacorta, Antonella Del Vecchio, Nadia Gisella Di Muzio, Claudio Fiorino
International Journal of Radiation Oncology Biology Physics, 2026
MRIgRT real-time target tracking: TrackRAD2025 challenge report
Tom Julius Blöcker, Pia A.W. Görts, Yiling Wang, Elia Lombardo, Adrian Thummerer, Yu Fan, Yue Zhao, Christianna Iris Papadopoulou, Coen Hurkmans, Rob H.N. Tijssen, Davide Cusumano, Martijn PW Intven, Pim Borman, Marco Riboldi, Denis Dudáš, Hilary L. Byrne, Lorenzo Placidi, Marco Fusella, Michael Jameson, Miguel A. Palacios, Paul Cobussen, Tobias Finazzi, Shyama U. Tetar, Cornelis J.A. Haasbeek, Paul Keall, Matteo Maspero, Christopher Kurz, Amparo Soeli Betancourt Tarifa, Kailin He, Shengqian Zhu, Ying Song, Guangjun Li, Junjie Hu, Felix Knispel, Sergios Gatidis, Hung Chu, Jiapan Guo, Maximilian Nielsen, Thilo Sentker, Valentin Boussot, Cédric Hémon, Jing Ni, Konstantinos Georgas, Theodoros P. Vagenas, George K. Matsopoulos, Guillaume Landry
Medical Image Analysis, 2026
Magnetic resonance imaging (MRI)-guided radiotherapy (MRIgRT) integrates MRI with linear accelerators (MRI-linacs), enabling real-time motion management based on temporally resolved 2D MRI (cine-MRI). Current systems rely on template matching or deformable image registration for radiotherapy target (typically the gross tumor volume) localization, which allows beam gating. Further advances in localization could support more precise and efficient delivery methods. https://trackrad2025.grand-challenge.org/ was organized to provide a common dataset to benchmark algorithms for MRIgRT target tracking in 2D+t cine-MRI. Participants propagated target segmentation masks from an initialization frame across subsequent frames. The dataset comprised sagittal cine-MRI scans of 585 cancer patients undergoing radiotherapy at 0.35 T and 1.5 T MRI-linacs at six different institutions, with expert-annotated targets in 108 sequences. Target sites included the thorax (179 cases), abdomen (266 cases), and pelvis (140 cases). A total of 477 unlabeled and 50 labeled cases were provided for training purposes, 58 cases were kept private for preliminary testing (8) and final evaluation (50). The algorithms submitted by participants were executed on the challenge platform and assessed using metrics in three categories: geometric accuracy, surrogate dose accuracy and execution speed. Rankings were derived via a Rank-Then-Mean scheme. TrackRAD2025 attracted 148 registrations from 28 countries, 100 preliminary submissions and 24 final submissions from 14 teams. The top five methods achieved mean Dice similarity coefficients >0.87 and Euclidean center distances <2.1 mm, comparable to interobserver variability. Leading top five solutions featured foundation models with (4) or without (1) finetuning. Field strength had minimal effect on performance and tracking worked better for the pelvis with reduced motion amplitude compared to the thorax and abdomen cases, which achieved equivalent performance. TrackRAD2025 established a benchmark for MRIgRT tracking on multi-institutional cine-MRI data, highlighting foundation models as promising for clinical translation.
Stereotactic body radiotherapy combined with immunotherapy: a systematic review focus on timing and toxicity profile
Carlo Gugliemo Cattaneo, Giuditta Chiloiro, Angela Romano, Giulia Panza, Matteo Galetto, Matteo Nardini, Lorenzo Placidi, Maria Antonietta Gambacorta, Luca Boldrini
Technical Innovations and Patient Support in Radiation Oncology, 2026
Background: The combination of Stereotactic Body Radiotherapy (SBRT) with immune checkpoint inhibitors (ICIs) has gained increasing interest due to its potential to enhance antitumor immune responses. However, the optimal timing, dose, and safety profile of this combined approach remain unclear, and available clinical evidence is highly heterogeneous. Methods: A systematic review of the literature was conducted in accordance with PRISMA guidelines. PubMed/MEDLINE, Embase, and Cochrane Library databases were searched for clinical studies evaluating the combination of SBRT and ICIs. Studies were included if they reported toxicity outcomes and involved patients with solid tumors treated with SBRT in combination with ICIs. Data on study design, patient characteristics, SBRT dose and fractionation, treatment sequencing, and treatment-related toxicities were extracted and qualitatively analyzed. Results: values spanning approximately 43-113 Gy; detailed dosimetric data were lacking in about 38% of studies. The overall incidence of grade ≥ 3 treatment-related toxicity was comparable between concurrent and sequential approaches (approximately 12-15%). High-grade adverse events were predominantly immune-related, with pneumonitis more frequently reported in concurrent regimens, while gastrointestinal and dermatologic toxicities were slightly more common in sequential strategies. No consistent signal of increased severe toxicity attributable to the addition of SBRT was observed. Conclusions: Current clinical evidence suggests that the combination of SBRT and ICIs is generally feasible and does not appear to systematically increase the risk of severe toxicity compared with immunotherapy alone. However, substantial heterogeneity in study design, SBRT parameters, treatment sequencing, and toxicity reporting limits definitive conclusions regarding safety and efficacy. Future prospective trials with harmonized protocols, standardized toxicity attribution, and integrated translational endpoints are needed to define the optimal therapeutic window for SBRT-ICI combinations across different tumor types.
Magnetic resonance-guided stereotactic body radiotherapy (MRIgSBRT) for nodal disease in oligometastatic setting: a single-institution study
Giuditta Chiloiro, Giulia Panza, Angela Romano, Rosa Autorino, Ciro Mazzarella, Gabriele Turco, Marco Valerio Antonelli, Matteo Nardini, Simone Raggio, Lorenzo Placidi, Maria Antonietta Gambacorta, Luca Boldrini
Clinical and Experimental Metastasis, 2026
Standardizing MRI-only radiotherapy commissioning: Benchmark dataset and acceptance levels from the MESCAL initiative
Davide Cusumano, Matteo Maspero, Luca Vellini, Emilie Alvarez-Michael, Anaïs Barateau, Igor Bessieres, Omar Bohoudi, Riccardo Dal Bello, Stéphane Dufreneix, Christopher Kurz, Guillaume Landry, Lisa Milan, Miguel A. Palacios, Gabriella Pastore, Charlotte Robert, Enrica Seravalli, Natalia Tejedor, Petra Trnkova, Fernanda Villegas, Laure Vieillevigne, Jonathan Wyatt, Poonam Yadav, Lorenzo Placidi, Marco Fusella
Radiotherapy and Oncology, 2026
Terminology Proposal for Adaptive Particle Therapy Classification and Strategies
Populaire Pieter, Simoes Rita, Nenoff Lena, Trnkova Petra, Placidi Lorenzo, Stützer Kristin, van Weerd Eva, Albertini Francesca
International Journal of Particle Therapy, 2026
Adaptive radiotherapy (ART) is an increasingly prominent concept in modern radiation oncology, offering the ability to adjust treatment in response to patient-specific anatomical and physiological changes. The concept was first introduced in 1995 as a "closed-loop radiation treatment process where the treatment plan can be modified using a systematic feedback of measurements.<sup>"1</sup> In this manuscript, we use ART to denote a treatment paradigm in which the treatment plan is intentionally modified during the course of radiotherapy in response to observed or anticipated changes in patient geometry, anatomy, or biology, with the aim of maintaining or improving the therapeutic ratio. More recently, ART has gained momentum due to advances in imaging, computing, and automation, which enable such feedback to be implemented more systematically and at different timescales.2, 3, 4, 5 Therefore, ART could eventually become a standard of care for some traditionally difficult-to-treat indications. These developments are particularly significant for particle therapy (PT), which is highly sensitive to (anatomical) variations. While PT offers dosimetric advantages over conventional photon therapy, its precision also means that even small deviations from the planned density and/or geometry can translate into clinically relevant changes in water-equivalent path length and thus proton range, with substantial impact on the dose distribution.
Towards quantitative MRI Driving online adaptive MRgRT for lung tumors
I. Moretti, M. Nardini, C. Mazzarella, A. Romano, G. Chiloiro, G. Panza, M. Galetto, H.E. Tran, K. Zormpas-Petridis, L. Boldrini, M.De Spirito, L. Placidi
Physica Medica, 2026
INTRODUCTION: Successful delivery of lung cancer radiotherapy is hindered by respiratory motion, low soft-tissue contrast and anatomical variabilities, often compromising precision. Magnetic Resonance Image-guided Radiotherapy (MRgRT) has emerged as a promising approach, particularly with hybrid MR-Linac systems that offer superior soft-tissue visualization and enable online adaptive radiotherapy (online MRgART). PURPOSE: This review synthesizes current evidence for online MRgART in lung cancer and examines emerging roles for quantitative MRI (qMRI). A PubMed search covering the period from January 2020 to September 2025 identified 19 studies, 3 of which focused specifically on quantitative imaging. MAIN FINDINGS: Online MRgART consistently demonstrated workflow feasibility, frequent online adaptation, improved target coverage while respecting Organs-At-Risk (OARs) constraints and encouraging Local Control (LC) with low high-grade toxicity. qMRI on MR-Linacs, most commonly Diffusion-Weighted Imaging (DWI) and cine-MRI-derived ventilation/perfusion mapping, showed feasibility and early signals for treatment adaptation, toxicity prediction and response assessment. PRINCIPAL CONCLUSIONS: qMRI studies integrated in online MRgART for lungs are, at present, extremely limited; nevertheless, establishing a clear snapshot of the current state-of-the-art is essential, as this topic is expected to become highly prevalent and of particular interest in the near future. To our knowledge, this is the first review centered on online MRgART for lung tumors, with a dedicated subsection summarizing the nascent evidence on qMRI. Looking ahead, integrating AI-driven motion compensation, auto-segmentation and adaptive replanning with qMRI-enabled biomarkers could standardize workflows and accelerate truly personalized online MRgART. Prospective multi-center studies are needed to validate biomarkers and demonstrate clinical benefit.
GTV segmentation in MRI guided radiotherapy with promptable foundation models
Tom Julius Blöcker, Nikolaos Delopoulos, Miguel A Palacios, Sebastian Klüter, Juliane Hörner-Rieber, Carolin Rippke, Lorenzo Placidi, Luca Boldrini, Vincenzo Frascino, Nicolaus Andratschke, Michael Baumgartl, Riccardo Dal Bello, Sebastian N Marschner, Claus Belka, Stefanie Corradini, Denis Dudas, Marco Riboldi, Christopher Kurz, Guillaume Landry
Physics in Medicine and Biology, 2026
Objective . Magnetic resonance imaging (MRI) guided radiotherapy requires the delineation of gross tumor volumes (GTV) in daily MRI from MRI-linacs. Specialized models have been developed for this task for certain tumors. This study investigated an alternative, using promptable foundation models. Approach . Promptable foundation models were prompted with six different sparse geometric prompt types (points, boxes, 2D masks) to produce GTV segmentation masks, including Segment-anything 2 (SAM2), SAM2 fine-tuned for medical imaging (MedSAM2), and nnInteractive, an nnUnet-based promptable model for medical imaging. A diverse multi-institutional dataset of clinical GTV masks from the abdomen, lung, liver, pancreas, and pelvis sites on MRI scans from MRI-linacs was used to evaluate model outputs using various metrics, including the Dice similarity coefficient (DSC). Main results . The models produced segmentation masks comparable or superior to those from domain-specific models with median DSCs of up to 0.85 (nnInteractive-mask3 prompt). Prompts with more spatial information yielded better results with lower variance, with the effect reduced for nnInteractive and MedSAM2. These produced overall better results (median DSC over all prompt types 0.75 for nnInteractive, 0.70 for MedSAM2, 0.54 for SAM2). Significance . This investigation showed that promptable foundation models can in principle be used for GTV segmentation in MRI across multiple tumor types, although more research is necessary to reduce the variance and improve model performance.
Inverse consistency error for validating deformable image registration: an explorative study on computational phantoms
Gianfranco Loi, Marco Fusella, Stefania Zara, Marica Vagni, Nicola Michielli, Orlando Zaccaria, Lorenzo Placidi, Pierfrancesco Franco, Filippo Molinari, Christian Fiandra
Physics and Imaging in Radiation Oncology, 2026
Background and Purpose: Validation of deformable image registration (DIR) remains predominantly contourbased; this study evaluated inverse consistency error (ICE) as an automated voxelwise metric for DIR accuracy. Materials and Methods: Synthetic ground-truth DVFs were generated using geometric and head-and-neck (HN) digital phantoms undergoing controlled global and local deformations. DIR was performed with the ANACONDA algorithm in RayStation. ICE maps derived from clinical DVFs were compared with ground-truth registration error (GTRE), target registration error (TRE) from 20 anatomical landmarks, and mean distance to agreement (MDA) for 22 propagated ROIs. Results: Ground-truth DVFs showed negligible ICE values, confirming mathematical invertibility. In HN phantoms, median ICE and GTRE were 0.8 ± 0.2 mm and 1.6 ± 0.4 mm, respectively. ICE correlated strongly with GTRE (R = 0.85, p < 0.001) and moderately with TRE (R = 0.68, p < 0.001). No significant correlation was found with contourbased MDA (2.47 ± 0.18 mm). Voxel-wise analysis showed that ICE captured spatial patterns of uncertainty consistent with regions of higher GTRE, while underestimating error for global homogeneous deformations >15 mm due to DIR regularisation. Across all datasets, ICE correctly identified high-uncertainty subregions that were not detected by contour-based metrics. Conclusions: ICE enables automated voxel-wise quantification of DIR uncertainty directly from clinical DVFs. It complements traditional contour-based metrics and may support patient-specific QA and more reliable dose mapping in adaptive and re-irradiation radiotherapy workflows.
Assessing the agreement of radiomic tools for dosiomics: A multi-software comparative study
Andrea Bettinelli, Francesca Marturano, Giovanni Pirrone, Eliana Gioscio, Michele Avanzo, Annarita Fanizzi, Cristina Garibaldi, Raffaella Massafra, Enrico Menghi, Lorenzo Placidi, Tiziana Rancati, Marta Paiusco
Medical Physics, 2026
Background Radiomics involves extracting and analyzing quantitative imaging features to support medical decision‐making, particularly in radiology and oncology. When applied to radiotherapy dose distributions, this approach, referred to as ‘dosiomics’, aims to identify the spatial dose patterns associated with treatment outcomes. However, software discrepancies in feature extraction may hinder reproducibility and limit the clinical adoption of radiomic/dosiomic models. Purpose This study presents the first comprehensive evaluation of software agreement and feature reproducibility across tools in the field of dosiomics, assessing seven feature‐extraction tools. The evaluation focused on the impact of built‐in image pre‐processing steps (e.g., interpolation and discretization), feature‐extraction configurations (i.e., aggregation methods), and the morphological characteristics of the regions of interest (ROIs), such as the presence of holes or disconnected components. Materials and methods Five open‐source programs (MIRP, S‐IBEX, RaCaT, SERA, and PyRadiomics) and two proprietary tools (SPAARC and RadiomiCRO) were evaluated. The Image Biomarker Standardization Initiative (IBSI) digital phantom was used to preliminarily assess software IBSI‐compliance and to identify and exclude features with inconsistent implementation from subsequent analyses. Dosiomic features were then extracted from a digital dataset comprising eight Intensity Modulated Radiation Therapy (IMRT) dose distributions emulating a head and neck radiotherapy plan (available in both isotropic and anisotropic formats) and 10 ROIs, following a systematic feature extraction framework. The effects of pre‐processing parameters, feature‐extraction configurations, and ROI morphological characteristics were analyzed systematically. The evaluation metrics included the percentage of matching features across software to the third significant digit, the Agreement metric, and the coefficient of variation (CV) to quantify both software performance and dosiomic feature variability across them. Results The preliminary IBSI‐compliance evaluation showed that MIRP, S‐IBEX, RaCaT, and SERA achieved over 94% matching features with IBSI benchmark values. In contrast, SPAARC, RadiomiCRO, and PyRadiomics demonstrated lower compliance due to non‐computable features. On dose distributions, all tools exhibited high match percentages (>77%) for the isotropic dataset, which did not require software‐specific interpolation. However, discrepancies increased significantly with program‐specific interpolation for the anisotropic dose dataset, with match rates dropping to 14%. Agreement across software was consistently high for the isotropic dataset but notably lower for the anisotropic dataset. This trend was less evident when looking at the CV, which showed only a mild increase for the anisotropic format. Fixed bin size (FBS) discretization displayed lower Agreement and higher CV values, particularly in the cumulative intensity‐volume histogram (IVH) feature family. High CV values were predominantly observed for some feature family‐ROI combinations, including GLRLM, GLSZM, and NGLDM computed using 2.5D/3D aggregation methods. Additionally, we observed that some binary masks were incorrectly generated (e.g., without holes) when using the DICOM format, therefore, we relied on NRRD input files whenever possible, resulting in feature reproducibility remaining unaffected by this aspect. Conclusion The findings of this study indicate that, when properly configured, the tools show good overall agreement, with variability limited to specific features and pre‐processing choices. While variations in program‐specific resampling and FBS discretization implementation are present, their overall impact on dosiomic feature reproducibility remains minimal.
Optimizing thoracic synthetic computed tomography generation from magnetic resonance imaging: the role of Fourier transform and other key factors
Alessandro Bombini, Luca Vellini, Flaviovincenzo Quaranta, Jacopo Lenkowicz, Sebastiano Menna, Elisa Pilloni, Francesco Catucci, Andrea D’Aviero, Claudio Votta, Giuditta Chiloiro, Martina Iezzi, Francesco Preziosi, Alessia Re, Althea Boschetti, Floranna Mauro, Sami Aburas, Lana Smiljanic, Antonio Piras, Carmela Di Dio, Lorenzo Placidi, Luca Boldrini, Maria Antonietta Gambacorta, Gian Carlo Mattiucci, Davide Cusumano
Physics and Imaging in Radiation Oncology, 2026
Patterns of practice of image guided particle therapy for brain tumours: A site specific multi-institutional survey of the European particle therapy network
Iuliana Toma-Dasu, Alexandru Dasu, Dante Amelio, Lorenzo Placidi, Juliette Thariat, Markus Stock, Petra Trnková, Daniëlle Eekers, Anneleen Goedgebeur, Morten Høyer, Aswin Hoffmann, Alessandra Bolsi
Physica Medica, 2025
An International Inter-Consortium Validation of Knowledge-Based Plan Prediction Modeling for Whole Breast Radiotherapy Treatment
Lorenzo Placidi, Peter Griffin, Roberta Castriconi, Alessia Tudda, Giovanna Benecchi, Mark Burns, Elisabetta Cagni, Cathy Markham, Valeria Landoni, Eugenia Moretti, Caterina Oliviero, Giulia Rambaldi Guidasci, Guenda Meffe, Tiziana Rancati, Alessandro Scaggion, Karen McGoldrick, Vanessa Panettieri, Claudio Fiorino
Cancers, 2025
MRI-guided stereotactic body radiation therapy for very elderly patients with primary lung cancer: a retrospective analysis of safety and efficacy profiles
Luca Boldrini, Angela Romano, Ilaria Castanò, Antonella Martino, Filippo Lococo, et al.
Radiologia Medica, 2025
Patterns of practice of image guided particle therapy for extremity tumours: A site specific multi-institutional survey of European particle therapy network
Lorenzo Placidi, Juliette Thariat, Alexandru Dasu, Markus Stock, Iuliana Toma-Dasu, Petra Trnková, Julia Thiele, Akmal Ahmed Safwat, Maria Rosaria Fiore, Pavel Vitek, Alessia Pica, Lamberto Widesott, Aswin Hoffmann, Alessandra Bolsi
Physica Medica, 2025
MRI-guided stereotactic radiotherapy for oligometastatic peritoneal carcinomatosis: toward integrative oncologic approaches
Angela Romano, Giuditta Chiloiro, Luca Boldrini, Giulia Panza, Ilaria Castanò, Maura Campitelli, Isabella Costamagna, Irene Moretti, Matteo Nardini, Marco Valerio Antonelli, Claudio Votta, Lorenzo Placidi, Maria Antonietta Gambacorta
Clinical and Experimental Metastasis, 2025
TrackRAD2025 challenge dataset: real-time tumor tracking for MRI-guided radiotherapy
Yiling Wang, Elia Lombardo, Adrian Thummerer, Tom Blöcker, Yu Fan, Yue Zhao, Christianna Iris Papadopoulou, Coen Hurkmans, Rob H. N. Tijssen, Pia A. W. Görts, Shyama U. Tetar, Davide Cusumano, Martijn PW Intven, Pim Borman, Marco Riboldi, Denis Dudáš, Hilary Byrne, Lorenzo Placidi, Marco Fusella, Michael Jameson, Miguel Palacios, Paul Cobussen, Tobias Finazzi, Cornelis J. A. Haasbeek, Paul Keall, Christopher Kurz, Guillaume Landry, Matteo Maspero
Medical Physics, 2025
Recent innovations in offline and online Magnetic Resonance Imaging guided radiation oncology
Luca Boldrini, Daniela Thorwarth, Lorenzo Placidi
Physics and Imaging in Radiation Oncology, 2025
Development and external multicentric validation of a deep learning-based clinical target volume segmentation model for whole-breast radiotherapy
Maria Giulia Ubeira-Gabellini, Gabriele Palazzo, Martina Mori, Alessia Tudda, Luciano Rivetti, Elisabetta Cagni, Roberta Castriconi, Valeria Landoni, Eugenia Moretti, Aldo Mazzilli, Caterina Oliviero, Lorenzo Placidi, Giulia Rambaldi Guidasci, Cecilia Riani, Andrei Fodor, Nadia Gisella Di Muzio, Robert Jeraj, Antonella del Vecchio, Claudio Fiorino
Physics and Imaging in Radiation Oncology, 2025
Multi-institutional Knowledge-Based (KB) plan prediction benchmark models for whole breast irradiation
Alessia Tudda, Roberta Castriconi, Lorenzo Placidi, Giovanna Benecchi, Rita Camilla Buono, Elisabetta Cagni, Alessandro Cicchetti, Valeria Landoni, Tiziana Malatesta, Aldo Mazzilli, Guenda Meffe, Eugenia Moretti, Martina Mori, Caterina Oliviero, Giulia Rambaldi Guidasci, Alessandro Scaggion, Valeria Trojani, Antonella del Vecchio, Claudio Fiorino
Physica Medica, 2025
REPeated mAgnetic resonance Image-guided stereotactic body Radiotherapy (MRIg-reSBRT) for oligometastatic patients: REPAIR, a mono-institutional retrospective study
Giuditta Chiloiro, Giulia Panza, Luca Boldrini, Angela Romano, Lorenzo Placidi, Matteo Nardini, Matteo Galetto, Claudio Votta, Maura Campitelli, Francesco Cellini, Mariangela Massaccesi, Maria Antonietta Gambacorta
Radiation Oncology, 2024
MOREOVER: multiomics MR-guided radiotherapy optimization in locally advanced rectal cancer
Luca Boldrini, Giuditta Chiloiro, Silvia Di Franco, Angela Romano, Lana Smiljanic, Elena Huong Tran, Francesco Bono, Diepriye Charles Davies, Loris Lopetuso, Maria De Bonis, Angelo Minucci, Luciano Giacò, Davide Cusumano, Lorenzo Placidi, Diana Giannarelli, Evis Sala, Maria Antonietta Gambacorta
Radiation Oncology, 2024
Magnetic Resonance Imaging Guided Radiation Therapy for Splenomegaly: Clinical Experiences and Technical Tips
Angela Romano, Lorenzo Placidi, Luca Boldrini, Giuditta Chiloiro, Nicola Dinapoli, Matteo Galetto, Ciro Mazzarella, Guenda Meffe, Matteo Nardini, Giulia Panza, Sara Ceglie, Patrizia Chiusolo, Elena Rossi, Luca Indovina, Maria Antonietta Gambacorta
Advances in Radiation Oncology, 2024
Results of 2023 survey on the use of synthetic computed tomography for magnetic resonance Imaging-only radiotherapy: Current status and future steps
M. Fusella, E. Alvarez Andres, F. Villegas, L. Milan, TM. Janssen, R. Dal Bello, C. Garibaldi, L. Placidi, D. Cusumano
Physics and Imaging in Radiation Oncology, 2024
Challenges and opportunities in the development and clinical implementation of artificial intelligence based synthetic computed tomography for magnetic resonance only radiotherapy
Fernanda Villegas, Riccardo Dal Bello, E. Alvarez-Andres, Jennifer Dhont, Tomas Janssen, Lisa Milan, Charlotte Robert, G.A.M. Salagean, Natalia Tejedor, Petra Trnková, Marco Fusella, L. Placidi, D. Cusumano
Radiotherapy and Oncology, 2024
ESTRO-EPTN radiation dosimetry guidelines for the acquisition of proton pencil beam modelling data
Carles Gomà, Katrin Henkner, Oliver Jäkel, Stefano Lorentini, Giuseppe Magro, Alfredo Mirandola, Lorenzo Placidi, Michele Togno, Marie Vidal, Gloria Vilches-Freixas, Jörg Wulff, Sairos Safai
Physics and Imaging in Radiation Oncology, 2024
Uterus motion analysis for radiotherapy planning optimization. The innovative contribution of on-board hybrid MR imaging
A. Romano, C. Votta, M. Nardini, G. Chiloiro, Giulia Panza, L. Boldrini, D. Cusumano, Elena Galofaro, L. Placidi, Marco Valerio Antonelli, G. Turco, R. Autorino, Maria Antonietta Gambacorta
Clinical and Translational Radiation Oncology, 2024
Patterns of practice of image guided particle therapy for cranio-spinal irradiation: A site specific multi-institutional survey of European Particle Therapy Network
Petra Trnková, A. Dasu, Lorenzo Placidi, Markus Stock, I. Toma-Dasu, Charlotte L. Brouwer, Andrew Gosling, Emmanuel Jouglar, I. Kristensen, Valentine Martin, Syed Moinuddin, Isabelle Pasquie, Sarah Peters, Alessia Pica, S. Plaude, R. Righetto, B. Rombi, J. Thariat, Hiske van der Weide, Aswin Hoffmann, A. Bolsi
Physica Medica, 2024
Multi-centre real-world validation of automated treatment planning for breast radiotherapy
C. Fiandra, S. Zara, V. Richetto, L. Rossi, M. Leonardi, P. Ferrari, M. Marrocco, E. Gino, S. Cora, G. Loi, F. Rosica, S. Ren Kaiser, E. Verdolino, L. Strigari, N. Romeo, L. Placidi, S. Comi, G. De Otto, A. Roggio, A. Di Dio, L. Reversi, E. Pierpaoli, E. Infusino, E. Coeli, T. Licciardello, A. Ciarmatori, R. Caivano, A. Poggiu, N. Ciscognetti, U. Ricardi, B. Heijmen
Physica Medica, 2024
Impact of data transfer between treatment planning systems on dosimetric parameters
Guenda Meffe, Claudio Votta, Gabriele Turco, Elena Chillè, Matteo Nardini, Angela Romano, Giuditta Chiloiro, Giulia Panza, Matteo Galetto, Amedeo Capotosti, Roberto Moretti, Maria Antonietta Gambacorta, Luca Boldrini, Luca Indovina, Lorenzo Placidi
Physica Medica, 2024
Multi-centre evaluation of variation in cumulative dose assessment in reirradiation scenarios
Nicholas Hardcastle, Eliana Vasquez Osorio, Andrew Jackson, Charles Mayo, Anja Einebærholm Aarberg, Myriam Ayadi, Francesca Belosi, Cemile Ceylan, Angela Davey, Pauline Dupuis, Julia-Claire Handley, Theresa Hemminger, Lone Hoffmann, Colin Kelly, Chrysanthi Michailidou, Sarah Muscat, Donna H. Murrell, Jaime Pérez-Alija, Catherine Palmer, Lorenzo Placidi, Marija Popovic, Heidi S. Rønde, Adam Selby, Theodora Skopidou, Natasa Solomou, Joep Stroom, Christopher Thompson, Nicholas S West, Ali Zaila, Ane L Appelt
Radiotherapy and Oncology, 2024
Inter-institutional variability of knowledge-based plan prediction of left whole breast irradiation
Roberta Castriconi, Alessia Tudda, Lorenzo Placidi, Giovanna Benecchi, Elisabetta Cagni, Francesca Dusi, Anna Ianiro, Valeria Landoni, Tiziana Malatesta, Aldo Mazzilli, Guenda Meffe, Caterina Oliviero, Giulia Rambaldi Guidasci, Alessandro Scaggion, Valeria Trojani, Antonella del Vecchio, Claudio Fiorino
Physica Medica, 2024
Radiomics-enhanced early regression index for predicting treatment response in rectal cancer: a multi-institutional 0.35 T MRI-guided radiotherapy study
Luca Boldrini, Giuditta Chiloiro, Davide Cusumano, Poonam Yadav, Gao Yu, Angela Romano, Antonio Piras, Claudio Votta, Lorenzo Placidi, Sara Broggi, Francesco Catucci, Jacopo Lenkowicz, Luca Indovina, Michael F. Bassetti, Yingli Yang, Claudio Fiorino, Vincenzo Valentini, Maria Antonietta Gambacorta
Radiologia Medica, 2024
Multicentric characterisation of lateral beam profiles generated by 6FFF beam of three 0.35 T MR-linac systems
Menna Sebastiano, El Gawhary Randa, Placidi Lorenzo, Quaranta Flaviovincenzo, Borrazzo Cristian, Masi Marica, Nardini Matteo, Rago Maria, Indovina Luca, Cusumano Davide, Fogliata Antonella
Physica Medica, 2024
Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models
Marica Vagni, Huong Elena Tran, Angela Romano, Giuditta Chiloiro, Luca Boldrini, Konstantinos Zormpas-Petridis, Maria Kawula, Guillaume Landry, Christopher Kurz, Stefanie Corradini, Claus Belka, Luca Indovina, Maria Antonietta Gambacorta, Lorenzo Placidi, Davide Cusumano
Physica Medica, 2024
Evaluation of clinical parallel workflow in online adaptive MR-guided Radiotherapy: A detailed assessment of treatment session times
Claudio Votta, Sara Iacovone, Gabriele Turco, Valerio Carrozzo, Marica Vagni, Aurora Scalia, Giuditta Chiloiro, Guenda Meffe, Matteo Nardini, Giulia Panza, Lorenzo Placidi, Angela Romano, Patrizia Cornacchione, Maria Antonietta Gambacorta, Luca Boldrini
Technical Innovations and Patient Support in Radiation Oncology, 2024
The Role of Lung Density in the Voxel-Based Dosimetry of 90Y-TARE Evaluated with the Voxel S-Value (VSV) Method and Fast Monte Carlo Simulation
A. Capotosti, Roberto Moretti, Maria Vaccaro, Cintia De Almeida Ribeiro, L. Placidi, M. Nardini, Guenda Meffe, D. Cusumano, L. Zagaria, M. De Risi, Germano Perotti, L. Leccisotti, M. De Spirito, R. Iezzi, Luca Indovina
Applied Sciences Switzerland, 2024
Stereotactic MR-guided on-table adaptive radiation therapy (SMART) for borderline resectable and locally advanced pancreatic cancer: A multi-center, open-label phase 2 study
Michael D. Chuong, Percy Lee, Daniel A. Low, Joshua Kim, Kathryn E. Mittauer, Michael F. Bassetti, Carri K. Glide-Hurst, Ann C. Raldow, Yingli Yang, Lorraine Portelance, Kyle R. Padgett, Bassem Zaki, Rongxiao Zhang, Hyun Kim, Lauren E. Henke, Alex T. Price, Joseph D. Mancias, Christopher L. Williams, John Ng, Ryan Pennell, M. Raphael Pfeffer, Daphne Levin, Adam C. Mueller, Karen E. Mooney, Patrick Kelly, Amish P. Shah, Luca Boldrini, Lorenzo Placidi, Martin Fuss, Parag Jitendra Parikh
Radiotherapy and Oncology, 2024
Editorial: Magnetic resonance and artificial intelligence: online guidance for adaptive radiotherapy in abdominal and pelvic cancer treatment
Marco Fusella, Tomas Janssen, Lorenzo Placidi
Frontiers in Oncology, 2024
Real-time motion management in MRI-guided radiotherapy: Current status and AI-enabled prospects
Elia Lombardo, Jennifer Dhont, Denis Page, Cristina Garibaldi, Luise A. Künzel, Coen Hurkmans, Rob H.N. Tijssen, Chiara Paganelli, Paul Z.Y. Liu, Paul J. Keall, Marco Riboldi, Christopher Kurz, Guillaume Landry, Davide Cusumano, Marco Fusella, Lorenzo Placidi
Radiotherapy and Oncology, 2024
Impact of bias field correction on 0.35 T pelvic MR images: evaluation on generative adversarial network-based OARs’ auto-segmentation and visual grading assessment
Marica Vagni, Huong Elena Tran, Francesco Catucci, Giuditta Chiloiro, Andrea D’Aviero, Alessia Re, Angela Romano, Luca Boldrini, Maria Kawula, Elia Lombardo, Christopher Kurz, Guillaume Landry, Claus Belka, Luca Indovina, Maria Antonietta Gambacorta, Davide Cusumano, Lorenzo Placidi
Frontiers in Oncology, 2024
Mesorectal motion evaluation in rectal cancer MR-guided radiotherapy: an exploratory study to quantify treatment margins
Luca Boldrini, Giuditta Chiloiro, Davide Cusumano, Angela Romano, Lorenzo Placidi, Gabriele Turco, Marco Valerio Antonelli, Matteo Nardini, Matteo Galetto, Luca Indovina, Maria Antonietta Gambacorta
Radiation Oncology, 2023
THeragnostic utilities for neoplastic DisEases of the rectum by MRI guided radiotherapy (THUNDER 2) phase II trial: interim safety analysis
Giuditta Chiloiro, Angela Romano, Davide Cusumano, Luca Boldrini, Giulia Panza, Lorenzo Placidi, Elisa Meldolesi, Matteo Nardini, Guenda Meffe, Gianluca Nicolini, Claudio Votta, Luca Indovina, Maria Antonietta Gambacorta
Radiation Oncology, 2023
A Multi-Institutional Phase 2 Trial of Ablative 5-Fraction Stereotactic Magnetic Resonance-Guided On-Table Adaptive Radiation Therapy for Borderline Resectable and Locally Advanced Pancreatic Cancer
Parag Jitendra Parikh, Percy Lee, Daniel A. Low, Joshua Kim, Kathryn E. Mittauer, Michael F. Bassetti, Carri K. Glide-Hurst, Ann C. Raldow, Yingli Yang, Lorraine Portelance, Kyle R. Padgett, Bassem Zaki, Rongxiao Zhang, Hyun Kim, Lauren E. Henke, Alex T. Price, Joseph D. Mancias, Christopher L. Williams, John Ng, Ryan Pennell, M. Raphael Pfeffer, Daphne Levin, Adam C. Mueller, Karen E. Mooney, Patrick Kelly, Amish P. Shah, Luca Boldrini, Lorenzo Placidi, Martin Fuss, Michael D. Chuong
International Journal of Radiation Oncology Biology Physics, 2023
Voxel-based analysis: Roadmap for clinical translation
Alan McWilliam, Giuseppe Palma, Azadeh Abravan, Oscar Acosta, Ane Appelt, Marianne Aznar, Serena Monti, Eva Onjukka, Vanessa Panettieri, Lorenzo Placidi, Tiziana Rancati, Eliana Vasquez Osorio, Marnix Witte, Laura Cella
Radiotherapy and Oncology, 2023
Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer
Maria Kawula, Marica Vagni, Davide Cusumano, Luca Boldrini, Lorenzo Placidi, Stefanie Corradini, Claus Belka, Guillaume Landry, Christopher Kurz
Physics and Imaging in Radiation Oncology, 2023
Survey on the interest and commitment of AIFM members to scientific activities (SicAS) – The initiative of the FutuRuS working group
R. Castriconi, L. Placidi, M. Avanzo, R. Cirio, P. Gallo, A. Mazzilli, A. Milano, T. Rancati, P. Russo, C. Garibaldi
Physica Medica, 2023
Use of secondary air kerma from dose area product and fluoroscopy time for preventive effective dose estimation in interventional radiology procedures for staff
Luca Indovina, Roberto Moretti, Laura Breschi, Davide Cusumano, Guenda Meffe, Lorenzo Placidi, Matteo Nardini, Roberta Reale, Arturo Quici, Elisa Placidi, Gerardina Stimato, Amedeo Capotosti
Journal of Radiological Protection, 2023
Magnetic resonance-guided stereotactic body radiation therapy (MRgSBRT) for oligometastatic patients: a single-center experience
Giuditta Chiloiro, Luca Boldrini, Angela Romano, Lorenzo Placidi, Huong Elena Tran, Matteo Nardini, Mariangela Massaccesi, Francesco Cellini, Luca Indovina, Maria Antonietta Gambacorta
Radiologia Medica, 2023
Current practices and perspectives on the integration of contrast agents in MRI-guided radiation therapy clinical practice: A worldwide survey
Luca Boldrini, Filippo Alongi, Angela Romano, Diepriye Charles Davies, Michael Bassetti, Giuditta Chiloiro, Stefanie Corradini, Maria Antonietta Gambacorta, Lorenzo Placidi, Alison C. Tree, Rosalyne Westley, Luca Nicosia
Clinical and Translational Radiation Oncology, 2023
Evaluation of real-time tumor contour prediction using LSTM networks for MR-guided radiotherapy
Elia Lombardo, Moritz Rabe, Yuqing Xiong, Lukas Nierer, Davide Cusumano, Lorenzo Placidi, Luca Boldrini, Stefanie Corradini, Maximilian Niyazi, Michael Reiner, Claus Belka, Christopher Kurz, Marco Riboldi, Guillaume Landry
Radiotherapy and Oncology, 2023
Patient-specific transfer learning for auto-segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi-centric evaluation
Maria Kawula, Indrawati Hadi, Lukas Nierer, Marica Vagni, Davide Cusumano, Luca Boldrini, Lorenzo Placidi, Stefanie Corradini, Claus Belka, Guillaume Landry, Christopher Kurz
Medical Physics, 2023
Automation of pencil beam scanning proton treatment planning for intracranial tumours
Lorenzo Placidi, Roberto Righetto, Claudio Vecchi, Stefania Zara, Alessandro Alparone, Roberto Moretti, Dante Amelio, Daniele Scartoni, Marco Schwarz
Physica Medica, 2023
Motion and dosimetric criteria for selecting gating technique for apical lung lesions in magnetic resonance guided radiotherapy
Matteo Galetto, Matteo Nardini, Amedeo Capotosti, Guenda Meffe, Davide Cusumano, Luca Boldrini, Giuditta Chiloiro, Angela Romano, Claudio Votta, Maria A. Gambacorta, Luca Indovina, Lorenzo Placidi
Frontiers in Oncology, 2023
Why we should care about gas pockets in online adaptive MRgRT: a dosimetric evaluation
Matteo Nardini, Guenda Meffe, Matteo Galetto, Luca Boldrini, Giuditta Chiloiro, Angela Romano, Giulia Panza, Andrea Bevacqua, Gabriele Turco, Claudio Votta, Amedeo Capotosti, Roberto Moretti, Maria Antonietta Gambacorta, Luca Indovina, Lorenzo Placidi
Frontiers in Oncology, 2023
Dose-response Analysis in Hepatic Tumors Treated with 90Y-TARE According to a Personalized Dosimetric Workflow: Preliminary Results
Alessia Milano, Amedeo Capotosti, Luca Zagaria, Germano Perotti, Alessio Rizzo, Valentina Longo, Davide De Leoni, Roberto Moretti, Laura Breschi, Guenda Meffe, Lorenzo Placidi, Davide Cusumano, Lucia Cerrito, Salvatore Annunziata, Roberto Iezzi, Luca Indovina
Current Radiopharmaceuticals, 2023
A multi-centric evaluation of self-learning GAN based pseudo-CT generation software for low field pelvic magnetic resonance imaging
Jessica Prunaretty, Gorkem Güngör, Thierry Gevaert, David Azria, Simon Valdenaire, Panagiotis Balermpas, Luca Boldrini, Michael David Chuong, Mark De Ridder, Leo Hardy, Sanmady Kandiban, Philippe Maingon, Kathryn Elizabeth Mittauer, Enis Ozyar, Thais Roque, Lorenzo Colombo, Nikos Paragios, Ryan Pennell, Lorenzo Placidi, Kumar Shreshtha, M. P. Speiser, Stephanie Tanadini-Lang, Vincenzo Valentini, Pascal Fenoglietto
Frontiers in Oncology, 2023
Ventricular tachycardia ablation through radiation therapy (VT-ART) consortium: Concept description of an observational multicentric trial via matched pair analysis
Francesco Cellini, Maria Lucia Narducci, Chiara Pavone, Gianluigi Bencardino, Francesco Perna, Gaetano Pinnacchio, Silvia Chiesa, Mariangela Massaccesi, Maria Antonietta Gambacorta, Stefania Manfrida, Silvia Longo, Alice Mannocci, Giuseppe Di Gregorio, Luca Boldrini, Luca Tagliaferri, Luca Indovina, Lorenzo Placidi, Gerardina Stimato, Francesco Raffaele Spera, Roberto Scacciavillani, Filippo Crea, Vincenzo Valentini, Gemma Pelargonio
Frontiers in Cardiovascular Medicine, 2023
THUNDER 2: THeragnostic Utilities for Neoplastic DisEases of the Rectum by MRI guided radiotherapy
Giuditta Chiloiro, Davide Cusumano, Luca Boldrini, Angela Romano, Lorenzo Placidi, Matteo Nardini, Elisa Meldolesi, Brunella Barbaro, Claudio Coco, Antonio Crucitti, Roberto Persiani, Lucio Petruzziello, Riccardo Ricci, Lisa Salvatore, Luigi Sofo, Sergio Alfieri, Riccardo Manfredi, Vincenzo Valentini, Maria Antonietta Gambacorta
BMC Cancer, 2022
Tuning the optimal diffusion-weighted MRI parameters on a 0.35-T MR-Linac for clinical implementation: A phantom study
Matteo Nardini, Amedeo Capotosti, Lorenzo Nicola Mazzoni, Davide Cusumano, Luca Boldrini, Giuditta Chiloiro, Angela Romano, Vincenzo Valentini, Luca Indovina, Lorenzo Placidi
Frontiers in Oncology, 2022
A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases: Generating CT from 0.35T MRI in thorax
Jacopo Lenkowicz, Claudio Votta, Matteo Nardini, Flaviovincenzo Quaranta, Francesco Catucci, Luca Boldrini, Marica Vagni, Sebastiano Menna, Lorenzo Placidi, Angela Romano, Giuditta Chiloiro, Maria Antonietta Gambacorta, Gian Carlo Mattiucci, Luca Indovina, Vincenzo Valentini, Davide Cusumano
Radiotherapy and Oncology, 2022
Knowledge-based multi-institution plan prediction of whole breast irradiation with tangential fields
Alessia Tudda, Roberta Castriconi, Giovanna Benecchi, Elisabetta Cagni, Alessandro Cicchetti, Francesca Dusi, Pier Giorgio Esposito, Marika Guernieri, Anna Ianiro, Valeria Landoni, Aldo Mazzilli, Eugenia Moretti, Caterina Oliviero, Lorenzo Placidi, Giulia Rambaldi Guidasci, Tiziana Rancati, Alessandro Scaggion, Valeria Trojani, Claudio Fiorino
Radiotherapy and Oncology, 2022
Up-to-Date Optimization of the 90Y-PET/CT Reconstruction Protocol for Volumetric Quantification in Trans-Arterial RadioEmbolization (TARE) Procedures in the Era of Theranostics
Amedeo Capotosti, Roberto Moretti, Alessia Milano, Matteo Nardini, Davide Cusumano, Salvatore Annunziata, Marco Capogni, Marco D’Arienzo, Lorenzo Placidi, Luca Indovina
Applied Sciences Switzerland, 2022
Plan quality assessment in clinical practice: Results of the 2020 ESTRO survey on plan complexity and robustness
Laura Patricia Kaplan, Lorenzo Placidi, Anna Bäck, Richard Canters, Mohammad Hussein, Ana Vaniqui, Marco Fusella, Tomasz Piotrowski, Victor Hernandez, Nuria Jornet, Christian Rønn Hansen, Lamberto Widesott
Radiotherapy and Oncology, 2022
Offline and online LSTM networks for respiratory motion prediction in MR-guided radiotherapy
Elia Lombardo, Moritz Rabe, Yuqing Xiong, Lukas Nierer, Davide Cusumano, Lorenzo Placidi, Luca Boldrini, Stefanie Corradini, Maximilian Niyazi, Claus Belka, Marco Riboldi, Christopher Kurz, Guillaume Landry
Physics in Medicine and Biology, 2022
A Predictive Model of 2yDFS During MR-Guided RT Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Patients
Giuditta Chiloiro, Luca Boldrini, Francesco Preziosi, Davide Cusumano, Poonam Yadav, Angela Romano, Lorenzo Placidi, Jacopo Lenkowicz, Nicola Dinapoli, Michael F. Bassetti, Maria Antonietta Gambacorta, Vincenzo Valentini
Frontiers in Oncology, 2022
MR-guided stereotactic body radiation therapy for primary cardiac sarcomas
Stefanie Corradini, Rieke von Bestenbostel, Angela Romano, Adrian Curta, Dorit Di Gioia, Lorenzo Placidi, Maximilian Niyazi, Luca Boldrini
Radiation Oncology, 2021
When your MR linac is down: Can an automated pipeline bail you out of trouble?
L. Placidi, D. Cusumano, A. Alparone, L. Boldrini, M. Nardini, G. Meffe, G. Chiloiro, A. Romano, V. Valentini, L. Indovina
Physica Medica, 2021
On dose cube pixel spacing pre-processing for features extraction stability in dosiomic studies
L. Placidi, D. Cusumano, J. Lenkowicz, L. Boldrini, V. Valentini
Physica Medica, 2021
The scientific publications of AIFM members in 2015–2019: A survey of the FutuRuS working group
Lorenzo Placidi, Roberta Castriconi, Tiziana Rancati, Michela Lecchi, Franco Fusi, Paolo Russo, Carlo Cavedon, Claudio Fiorino, Cristina Garibaldi
Physica Medica, 2021
A multicentre evaluation of dosiomics features reproducibility, stability and sensitivity
Lorenzo Placidi, Eliana Gioscio, Cristina Garibaldi, Tiziana Rancati, Annarita Fanizzi, Davide Maestri, Raffaella Massafra, Enrico Menghi, Alfredo Mirandola, Giacomo Reggiori, Roberto Sghedoni, Pasquale Tamborra, Stefania Comi, Jacopo Lenkowicz, Luca Boldrini, Michele Avanzo
Cancers, 2021
MRI-guided stereotactic radiation therapy for hepatocellular carcinoma: a feasible and safe innovative treatment approach
Luca Boldrini, Angela Romano, Silvia Mariani, Davide Cusumano, Francesco Catucci, Lorenzo Placidi, Gian Carlo Mattiucci, Giuditta Chiloiro, Francesco Cellini, Maria Antonietta Gambacorta, Luca Indovina, Vincenzo Valentini
Journal of Cancer Research and Clinical Oncology, 2021
VMAT-like plans for magnetic resonance guided radiotherapy: Addressing unmet needs
L. Placidi, M. Nardini, D. Cusumano, L. Boldrini, G. Chiloiro, A. Romano, C. Votta, MV. Antonelli, V. Valentini, L. Indovina
Physica Medica, 2021
Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives
Davide Cusumano, Luca Boldrini, Jennifer Dhont, Claudio Fiorino, Olga Green, Görkem Güngör, Núria Jornet, Sebastian Klüter, Guillaume Landry, Gian Carlo Mattiucci, Lorenzo Placidi, Nick Reynaert, Ruggero Ruggieri, Stephanie Tanadini-Lang, Daniela Thorwarth, Poonam Yadav, Yingli Yang, Vincenzo Valentini, Dirk Verellen, Luca Indovina
Physica Medica, 2021
Dosimetric accuracy of dual isocenter irradiation in low magnetic field resonance guided radiotherapy system for extended abdominal tumours
L. Placidi, M. Nardini, D. Cusumano, L. Boldrini, F. Catucci, G. Chiloiro, C. Votta, V. Valentini, L. Indovina
Physica Medica, 2021
Delivery of online adaptive magnetic resonance guided radiotherapy based on isodose boundaries
Claudio Votta, Davide Cusumano, Luca Boldrini, Nicola Dinapoli, Lorenzo Placidi, Gabriele Turco, Marco Valerio Antonelli, Veronica Pollutri, Angela Romano, Luca Indovina, Vincenzo Valentini
Physics and Imaging in Radiation Oncology, 2021
Delta radiomics for rectal cancer response prediction using low field magnetic resonance guided radiotherapy: an external validation
Davide Cusumano, Luca Boldrini, Poonam Yadav, Gao Yu, Bindu Musurunu, Giuditta Chiloiro, Antonio Piras, Jacopo Lenkowicz, Lorenzo Placidi, Angela Romano, Viola De Luca, Claudio Votta, Brunella Barbaro, Maria Antonietta Gambacorta, Michael F. Bassetti, Yingli Yang, Luca Indovina, Vincenzo Valentini
Physica Medica, 2021
Process mining to optimize palliative patient flow in a high-volume radiotherapy department
L. Placidi, L. Boldrini, J. Lenkowicz, S. Manfrida, R. Gatta, A. Damiani, S. Chiesa, F. Ciellini, V. Valentini
Technical Innovations and Patient Support in Radiation Oncology, 2021
Delta Radiomics Analysis for Local Control Prediction in Pancreatic Cancer Patients Treated Using Magnetic Resonance Guided Radiotherapy
Davide Cusumano, Luca Boldrini, Poonam Yadav, Calogero Casà, Sangjune Laurence Lee, Angela Romano, Antonio Piras, Giuditta Chiloiro, Lorenzo Placidi, Francesco Catucci, Claudio Votta, Gian Carlo Mattiucci, Luca Indovina, Maria Antonietta Gambacorta, Michael Bassetti, Vincenzo Valentini
Diagnostics, 2021
Evaluation of a generalized knowledge-based planning performance for VMAT irradiation of breast and locoregional lymph nodes—Internal mammary and/or supraclavicular regions
Maria Rago, Lorenzo Placidi, Mattia Polsoni, Giulia Rambaldi, Davide Cusumano, Francesca Greco, Luca Indovina, Sebastiano Menna, Elisa Placidi, Gerardina Stimato, Stefania Teodoli, Gian Carlo Mattiucci, Silvia Chiesa, Fabio Marazzi, Valeria Masiello, Vincenzo Valentini, Marco De Spirito, Luigi Azario
Plos One, 2021
Case Report: First in Human Online Adaptive MR Guided SBRT of Peritoneal Carcinomatosis Nodules: A New Therapeutic Approach for the Oligo-Metastatic Patient
Luca Boldrini, Angela Romano, Lorenzo Placidi, Gian Carlo Mattiucci, Giuditta Chiloiro, Davide Cusumano, Veronica Pollutri, Marco Valerio Antonelli, Luca Indovina, Maria Antonietta Gambacorta, Vincenzo Valentini
Frontiers in Oncology, 2020
A deep learning approach to generate synthetic CT in low field MR-guided adaptive radiotherapy for abdominal and pelvic cases
Davide Cusumano, Jacopo Lenkowicz, Claudio Votta, Luca Boldrini, Lorenzo Placidi, Francesco Catucci, Nicola Dinapoli, Marco Valerio Antonelli, Angela Romano, Viola De Luca, Giuditta Chiloiro, Luca Indovina, Vincenzo Valentini
Radiotherapy and Oncology, 2020
What is plan quality in radiotherapy? The importance of evaluating dose metrics, complexity, and robustness of treatment plans
Victor Hernandez, Christian Rønn Hansen, Lamberto Widesott, Anna Bäck, Richard Canters, Marco Fusella, Julia Götstedt, Diego Jurado-Bruggeman, Nobutaka Mukumoto, Laura Patricia Kaplan, Irena Koniarová, Tomasz Piotrowski, Lorenzo Placidi, Ana Vaniqui, Nuria Jornet
Radiotherapy and Oncology, 2020
External Validation of Early Regression Index (ERITCP) as Predictor of Pathologic Complete Response in Rectal Cancer Using Magnetic Resonance-Guided Radiation Therapy
Davide Cusumano, Luca Boldrini, Poonam Yadav, Gao Yu, Bindu Musurunu, Giuditta Chiloiro, Antonio Piras, Jacopo Lenkowicz, Lorenzo Placidi, Sara Broggi, Angela Romano, Martina Mori, Brunella Barbaro, Luigi Azario, Maria Antonietta Gambacorta, Marco De Spirito, Michael F. Bassetti, Yingli Yang, Claudio Fiorino, Vincenzo Valentini
International Journal of Radiation Oncology Biology Physics, 2020
Case Report: A Case Report of Stereotactic Ventricular Arrhythmia Radioablation (STAR) on Large Cardiac Target Volume by Highly Personalized Inter- and Intra-fractional Image Guidance
Maria Lucia Narducci, Francesco Cellini, Lorenzo Placidi, Luca Boldrini, Francesco Perna, Gianluigi Bencardino, Gaetano Pinnacchio, Roberta Bertolini, Giorgio Cannelli, Vincenzo Frascino, Luca Tagliaferri, Silvia Chiesa, Gian Carlo Mattiucci, Mario Balducci, Maria Antonietta Gambacorta, Marco Rossi, Luca Indovina, Gemma Pelargonio, Vincenzo Valentini, Filippo Crea
Frontiers in Cardiovascular Medicine, 2020
Evaluation of an early regression index (Eritcp) as predictor of pathological complete response in cervical cancer: A pilot-study
Davide Cusumano, Francesco Catucci, Angela Romano, Luca Boldrini, Antonio Piras, Sara Broggi, Claudio Votta, Lorenzo Placidi, Matteo Nardini, Giuditta Chiloiro, Alessia Nardangeli, Viola De Luca, Bruno Fionda, Maura Campitelli, Rosa Autorino, Maria Antonietta Gambacorta, Luca Indovina, Claudio Fiorino, Vincenzo Valentini
Applied Sciences Switzerland, 2020
Al2O3:C and Al2O3:C,Mg optically stimulated luminescence 2D dosimetry applied to magnetic resonance guided radiotherapy
N. Shrestha, E.G. Yukihara, Davide Cusumano, Lorenzo Placidi
Radiation Measurements, 2020
Quantitative analysis of MRI-guided radiotherapy treatment process time for tumor real-time gating efficiency
Lorenzo Placidi, Davide Cusumano, Luca Boldrini, Claudio Votta, Veronica Pollutri, Marco Valerio Antonelli, Giuditta Chiloiro, Angela Romano, Viola De Luca, Francesco Catucci, Luca Indovina, Vincenzo Valentini
Journal of Applied Clinical Medical Physics, 2020
Stability of dosomics features extraction on grid resolution and algorithm for radiotherapy dose calculation
L. Placidi, J. Lenkowicz, D. Cusumano, L. Boldrini, N. Dinapoli, V. Valentini
Physica Medica, 2020
On-line adaptive MR guided radiotherapy for locally advanced pancreatic cancer: Clinical and dosimetric considerations
Lorenzo Placidi, Angela Romano, Giuditta Chiloiro, Davide Cusumano, Luca Boldrini, Francesco Cellini, Gian Carlo Mattiucci, Vincenzo Valentini
Technical Innovations and Patient Support in Radiation Oncology, 2020
Characterization of an inorganic scintillator for small-field dosimetry in MR-guided radiotherapy
Davide Cusumano, Lorenzo Placidi, Emiliano D'Agostino, Luca Boldrini, Sebastiano Menna, Vincenzo Valentini, Marco De Spirito, Luigi Azario
Journal of Applied Clinical Medical Physics, 2020
Pencil beam scanning proton therapy for the treatment of craniopharyngioma complicated with radiation-induced cerebral vasculopathies: A dosimetric and linear energy transfer (LET) evaluation
Alessandra Bolsi, Lorenzo Placidi, Alessia Pica, Frank J. Ahlhelm, Marc Walser, Antony J. Lomax, Damien C. Weber
Radiotherapy and Oncology, 2020
Reliability of ITV approach to varying treatment fraction time: A retrospective analysis based on 2D cine MR images
Davide Cusumano, Jennifer Dhont, Luca Boldrini, Giuditta Chiloiro, Angela Romano, Claudio Votta, Silvia Longo, Lorenzo Placidi, Luigi Azario, Marco De Spirito, Dirk Verellen, Vincenzo Valentini
Radiation Oncology, 2020
On the accuracy of bulk synthetic CT for MR-guided online adaptive radiotherapy
Davide Cusumano, Lorenzo Placidi, Stefania Teodoli, Luca Boldrini, Francesca Greco, Silvia Longo, Francesco Cellini, Nicola Dinapoli, Vincenzo Valentini, Marco De Spirito, Luigi Azario
Radiologia Medica, 2020
Optimal ct protocols for ct-guided planning preparation in radiotherapy
Alessandra Bolsi, Lorenzo Placidi
Medical Radiology, 2020
Hybrid MRI guided radiotherapy in locally advanced cervical cancer: Case report of an innovative personalized therapeutic approach
L. Boldrini, G. Chiloiro, A. Pesce, A. Romano, S. Teodoli, L. Placidi, M. Campitelli, M.A. Gambacorta, V. Valentini
Clinical and Translational Radiation Oncology, 2020
Evaluation of a simplified optimizer for MR-guided adaptive RT in case of pancreatic cancer
Davide Cusumano, Luca Boldrini, Sebastiano Menna, Stefania Teodoli, Elisa Placidi, Giuditta Chiloiro, Lorenzo Placidi, Francesca Greco, Gerardina Stimato, Francesco Cellini, Vincenzo Valentini, Luigi Azario, Marco De Spirito
Journal of Applied Clinical Medical Physics, 2019
The dependence of interplay effects on the field scan direction in PBS proton therapy
G Fattori, G Klimpki, J Hrbacek, Y Zhang, M Krieger, L Placidi, S Psoroulas, D C Weber, A J Lomax, S Safai
Physics in Medicine and Biology, 2019
Range resolution and reproducibility of a dedicated phantom for proton PBS daily quality assurance
Lorenzo Placidi, Michele Togno, Damien C. Weber, Antony J. Lomax, Jan Hrbacek
Zeitschrift Fur Medizinische Physik, 2018
Long-Term Outcomes and Prognostic Factors After Pencil-Beam Scanning Proton Radiation Therapy for Spinal Chordomas: A Large, Single-Institution Cohort
James W. Snider, Ralf A. Schneider, Davey Poelma-Tap, Sonja Stieb, Fritz R. Murray, Lorenzo Placidi, Francesca Albertini, Antony Lomax, Alessandra Bolsi, Ulrike Kliebsch, Robert Malyapa, Damien C. Weber
International Journal of Radiation Oncology Biology Physics, 2018
Radiation Necrosis and White Matter Lesions in Pediatric Patients With Brain Tumors Treated With Pencil Beam Scanning Proton Therapy
Beat Bojaxhiu, Frank Ahlhelm, Marc Walser, Lorenzo Placidi, Ulrike Kliebsch, Lorentzos Mikroutsikos, Petra Morach, Alessandra Bolsi, Tony Lomax, Alessia Pica, Damien C. Weber
International Journal of Radiation Oncology Biology Physics, 2018
Positioning of head and neck patients for proton therapy using proton range probes: A proof of concept study
A Hammi, L Placidi, D C Weber, A J Lomax
Physics in Medicine and Biology, 2018
Long-Term Clinical Safety of High-Dose Proton Radiation Therapy Delivered With Pencil Beam Scanning Technique for Extracranial Chordomas and Chondrosarcomas in Adult Patients: Clinical Evidence of Spinal Cord Tolerance
Sonja Stieb, James W. Snider, Lorenzo Placidi, Ulrike Kliebsch, Anthony J. Lomax, Ralf A. Schneider, Damien C. Weber
International Journal of Radiation Oncology Biology Physics, 2018
Beyond geometrical overlap: A dosimetrical evaluation of automated volumes adaptation (DEA) in head and neck replanning
Gian Carlo Mattiucci, Luca Boldrini, Lorenzo Placidi, Luigi Azario, Nicola Dinapoli, Giuditta Chiloiro, Danilo Pasini, Danila Piccari, Maria Antonietta Gambacorta, Mario Balducci, Giovanna Mantini, Vincenzo Valentini
Technical Innovations and Patient Support in Radiation Oncology, 2017
Effect of Anatomic Changes on Pencil Beam Scanned Proton Dose Distributions for Cranial and Extracranial Tumors
Lorenzo Placidi, Alessandra Bolsi, Antony J. Lomax, Ralf A. Schneider, Robert Malyapa, Damien C. Weber, Francesca Albertini
International Journal of Radiation Oncology Biology Physics, 2017
Adaptive optimization by 6 DOF robotic couch in prostate volumetric IMRT treatment: Rototranslational shift and dosimetric consequences
Silvia Chiesa, Lorenzo Placidi, Luigi Azario, Gian Carlo Mattiucci, Francesca Greco, Andrea Damiani, Giovanna Mantini, Vincenzo Frascino, Angelo Piermattei, Vincenzo Valentini, Mario Balducci
Journal of Applied Clinical Medical Physics, 2015
ASi-EPID transit signal calibration for dynamic beams: A needful step for the IMRT in vivo dosimetry
Francesca Greco, Angelo Piermattei, Luigi Azario, Lorenzo Placidi, Savino Cilla, Rocchina Caivano, Vincenzo Fusco, Andrea Fidanzio
Medical and Biological Engineering and Computing, 2013

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