Tanuj Puri , Tiziana Rancati , Petra Seibold , Adam Webb , Eliana Vasquez osorio , David Azria , Marie-Pierre Farcy-Jacquet , Jenny Chang-Claude , Alison Dunning , Maarten Lambrecht , Barbara Avuzzi , Dirk de Ruysscher , Elena Sperk , Ana Vega , Liv Veldeman , Barry Rosenstein , Sarah Kerns , Christopher Talbot , Alan McWilliam , Peter Hoskin , Marcel van Herk
{"title":"Sensitivity analysis of dose-response model parameters for the bladder in prostate cancer radiotherapy","authors":"Tanuj Puri , Tiziana Rancati , Petra Seibold , Adam Webb , Eliana Vasquez osorio , David Azria , Marie-Pierre Farcy-Jacquet , Jenny Chang-Claude , Alison Dunning , Maarten Lambrecht , Barbara Avuzzi , Dirk de Ruysscher , Elena Sperk , Ana Vega , Liv Veldeman , Barry Rosenstein , Sarah Kerns , Christopher Talbot , Alan McWilliam , Peter Hoskin , Marcel van Herk","doi":"10.1016/j.ejmp.2025.105178","DOIUrl":"10.1016/j.ejmp.2025.105178","url":null,"abstract":"<div><h3>Introduction</h3><div>This study evaluates how model parameter values affect dose–response maps (DRMs) in identifying high-risk bladder subregions associated with late urinary toxicities in prostate cancer patients post-radiotherapy.</div></div><div><h3>Methods</h3><div>Data from 1808 patients were analyzed for five late bladder toxicities. Baseline scores were subtracted from maximum toxicity at 12 and 24 months and dichotomized into grades ≥ 1 and ≥ 2. Bladders were segmented on computed tomography scans, and dose-surface maps (DSMs) were created on 91 × 90 voxel grids using spherical and cylindrical coordinates. Voxel doses were converted to equivalent dose in 2 Gy fractions (EQD2, α/β 1–3 Gy). Welch’s t and Mann–Whitney U equations were applied at each voxel location. Multiple comparisons were corrected via permutation testing (10–10000 iterations), and statistically significant voxels were identified using the 90th and 95th percentiles of Tmax/Umax. Sensitivity of parameters was assessed by varying one parameter at a time, with changes > 400 voxels (∼5% of 8190) classified as large and ≤ 400 as small.</div></div><div><h3>Results</h3><div>Urinary tract obstruction was the only toxicity significantly associated with bladder DSMs, focusing results on this outcome. After baseline adjustment and dichotomization, event/nonevent counts were 62/701 (grade≥1) and 21/742 (grade≥2; N = 763). DRM results showed large effects of toxicity grade threshold, coordinate system, statistical test equation, and Tmax/Umax thresholding. EQD2 α/β showed variable effects, large for cylindrical and small for spherical coordinates, while the number of permutations had only a small effect.</div></div><div><h3>Conclusions</h3><div>Parameter selection significantly influences high-risk subregion identification in DRMs, emphasizing the need for standardized parameter reporting for meaningful external comparisons.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"139 ","pages":"Article 105178"},"PeriodicalIF":2.7,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cheng-Yen Lee , Hsiao-Ju Fu , Syu Fu Chuen , Hien Vu-Dinh , Hong-Tzong Yau
{"title":"Collision detection in radiotherapy: A comprehensive software approach using depth camera and separating axis theorem","authors":"Cheng-Yen Lee , Hsiao-Ju Fu , Syu Fu Chuen , Hien Vu-Dinh , Hong-Tzong Yau","doi":"10.1016/j.ejmp.2025.105183","DOIUrl":"10.1016/j.ejmp.2025.105183","url":null,"abstract":"<div><h3>Purpose</h3><div>Collision detection in radiotherapy is essential for ensuring patient and equipment safety, as well as accurate treatment planning in personalized medicine. Despite the use of touch guards on modern linear accelerators (LINACs) and extensive research, shortcomings in efficiency and versatility still remain. This study presents a patient-specific collision detection software that supports a variety of LINACs with complex motion trajectories.</div></div><div><h3>Methods</h3><div>A depth camera was utilized to obtain point clouds of objects, while the hand-eye calibration technique was applied for model localization. Analysis of the equipment structure and radiation therapy planning files (RT files) enabled the extraction of motion trajectories and relevant parameters for testing. Our software integrates the separating axis theorem (SAT) algorithm with the concept of collision bodies to simplify collision detection complexity. The axis-aligned bounding box (AABB), bounding volume hierarchy (BVH), and collision pair analysis were applied to optimize the simulation efficiency.</div></div><div><h3>Results</h3><div>The proposed method exhibited robust performance in simulating and detecting collisions during the radiotherapy process. By applying the concepts of bounding volumes (BVs) and BVH, the computational complexity of intricate components, such as the radiation delivery and imaging system (RDIS) and patient positioning system (PPS), was reduced by over 95 % and 99 %, respectively. This significantly enhanced the efficiency of collision detection.</div></div><div><h3>Conclusion</h3><div>This study enhances safety and operational efficiency in radiotherapy, providing a reliable tool for clinical use. Additionally, it offers interactive education and training opportunities for novice healthcare professionals, bridging gaps in both practice and learning.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"139 ","pages":"Article 105183"},"PeriodicalIF":2.7,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Audit of potential foetal dose in pelvis X-rays conducted in the emergency department","authors":"Lauren Hurley, Deirdre Moloney, James McCullagh","doi":"10.1016/j.ejmp.2025.105157","DOIUrl":"10.1016/j.ejmp.2025.105157","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"138 ","pages":"Article 105157"},"PeriodicalIF":2.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145358567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of T1 quantification from MP2RAGE using a standardized MRI phantom","authors":"Alan Stone , Martin Sheridan , Aoife Ivory","doi":"10.1016/j.ejmp.2025.105104","DOIUrl":"10.1016/j.ejmp.2025.105104","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"138 ","pages":"Article 105104"},"PeriodicalIF":2.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantitative image analysis of paediatric magnetic resonance imaging scans to assess the efficacy of a deep learning-based image reconstruction method","authors":"Osahenre Samuel, Michael Kelly, Jennie Cooke","doi":"10.1016/j.ejmp.2025.105124","DOIUrl":"10.1016/j.ejmp.2025.105124","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"138 ","pages":"Article 105124"},"PeriodicalIF":2.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of a machine learning-based dose-volume histogram prediction model for the tumour and heart based on their spatial relationship","authors":"Fereshteh Gholami , Gerard Walls , Conor McGarry","doi":"10.1016/j.ejmp.2025.105116","DOIUrl":"10.1016/j.ejmp.2025.105116","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"138 ","pages":"Article 105116"},"PeriodicalIF":2.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Feasibility study and commissioning of multi-criteria optimisation (MCO) in Head & Neck VMAT planning in Eclipse","authors":"Sadhbh O’Toole, Christina Zacharatou","doi":"10.1016/j.ejmp.2025.105119","DOIUrl":"10.1016/j.ejmp.2025.105119","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"138 ","pages":"Article 105119"},"PeriodicalIF":2.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fabio De-Giorgio , Davide Cusumano , Luca Vellini , Roberto Gatta , Luca Boldrini , Matteo Mancino , Michail E. Klontzas , Elena F. Kranioti , Evis Sala , Vincenzo L. Pascali
{"title":"Estimation liver radiomics from postmortem CT: Development of interpretable models for postmortem interval estimation","authors":"Fabio De-Giorgio , Davide Cusumano , Luca Vellini , Roberto Gatta , Luca Boldrini , Matteo Mancino , Michail E. Klontzas , Elena F. Kranioti , Evis Sala , Vincenzo L. Pascali","doi":"10.1016/j.ejmp.2025.105186","DOIUrl":"10.1016/j.ejmp.2025.105186","url":null,"abstract":"<div><h3>Introduction</h3><div>Postmortem computed tomography (PMCT) is increasingly used in forensic investigations, offering a non-invasive and objective approach to estimating the postmortem interval (PMI). This study aimed to develop and externally validate radiomic models to distinguish deaths within versus beyond 24 h, using liver radiomic features from PMCT scans..</div></div><div><h3>Methods</h3><div>A retrospective analysis was performed on 51 cadavers for model development and validated on 80 independent cases. In the training set, 173 PMCT scans across different PMIs were analyzed. The liver was manually segmented, and 40 radiomic features—statistical, morphological, and fractal—were extracted. Robustness to segmentation variability was assessed with autocontoured segmentations using the Intraclass Correlation Coefficient (ICC). PMI was dichotomized as ≤ 24 versus > 24 h. Univariate analyses identified predictive features, and logistic regression models were built from significant variables. Model performance was evaluated with receiver operating characteristic (ROC) curves, with sensitivity and specificity at the optimal threshold.</div></div><div><h3>Results</h3><div>Four features were significantly associated with PMI, with liver skewness emerging as the most predictive (p = 9.13 × 10<sup>−4</sup>) and robust (ICC = 0.75). A logistic regression model based on skewness achieved an AUC of 0.75 (95 % CI: 0.65–0.86) and 100 % specificity at the optimal threshold, reliably identifying deaths beyond 24 h. Adding a second feature did not improve performance (p = 0.54, DeLong test). External validation confirmed specificity of the skewness model (70 % at the optimal threshold).</div></div><div><h3>Conclusion</h3><div>Liver skewness extracted from PMCT shows potential as a biomarker for identifying deaths beyond 24 h, with performance confirmed on an independent cohort.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"138 ","pages":"Article 105186"},"PeriodicalIF":2.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145194023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Giada Petringa, Roberto Catalano, Antonino Amato, Antonio Domenico Russo, Giuseppe Francesco Fustaino, Mariacristina Guarrera, Giacomo Cuttone, Gustavo Esteban Messina, Luigi Raffaele, Alfio Domenico Pappalardo, Giuseppe Antonio Pablo Cirrone
{"title":"Design and validation of an integrated reference dosimetry and monitoring system for ultra-high dose-rate proton beams ranging from 20 Gy/s to 230 Gy/s","authors":"Giada Petringa, Roberto Catalano, Antonino Amato, Antonio Domenico Russo, Giuseppe Francesco Fustaino, Mariacristina Guarrera, Giacomo Cuttone, Gustavo Esteban Messina, Luigi Raffaele, Alfio Domenico Pappalardo, Giuseppe Antonio Pablo Cirrone","doi":"10.1016/j.ejmp.2025.105187","DOIUrl":"10.1016/j.ejmp.2025.105187","url":null,"abstract":"<div><h3>Purpose:</h3><div>This study aims to design, develop, and test an integrated reference dosimetry and beam monitoring system tailored for proton beams in a dose rate regime ranging from 20 Gy/s to 230 Gy/s. The primary objective is to establish a robust system for diagnostic and dosimetry addressing the challenges associated with ultra-high dose-rate (UHDR) radiotherapy. The proposed detectors chain seeks to ensure accurate dose measurements to support future clinical applications and radiobiological experiments in FLASH proton therapy (pFLASH-RT).</div></div><div><h3>Methods:</h3><div>The system integrates three detectors, a Secondary Emission Monitor (SEM), a Dual-Gap Ionization Chamber (DGIC), and a Faraday Cup (FC) , providing dose measurements. The SEM and DGIC operate continuously to monitor dose rates, while the FC, designed with innovative geometric and electronic features, ensures dose calibration. Experimental validations were conducted using a 62 MeV proton beam at the INFN-LNS, spanning various dose rates. Calibration procedures and correction algorithms, including the Boag–Wilson theory, were applied to ensure the reliability of the dosimetry and monitoring system.</div></div><div><h3>Results:</h3><div>Experimental results demonstrated high reproducibility and accuracy of the entire system. The FC exhibited a mean relative dose uncertainty of 2%, with no significant response variation across dose rates, even at the highest dose rate tested (230 Gy/s). Similarly, the SEM demonstrated consistent performance, with an average agreement within 1.4% of the FC measurements. Additionally, the application of correction factors based on collection efficiency parameters reduced the DGIC measurement uncertainty to less than 3%.</div></div><div><h3>Conclusion:</h3><div>The proposed system represents a reliable solution for the dosimetry of UHDR proton beams. Its ability to provide accurate, real-time dose measurements under extreme beam conditions supports the integration of pFLASH-RT into clinical practice. While the individual detectors employed in this work (Faraday Cup, DGIC, SEM) are based on established technologies, the innovation of this study lies in the integration and cross-calibration of these components within a single real-time dosimetric architecture, experimentally validated over a wide dose rate range. Furthermore, the system’s robustness and reproducibility make it an invaluable tool for advancing radiobiological research and ensuring the safe application of UHDR proton therapy.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"138 ","pages":"Article 105187"},"PeriodicalIF":2.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}