Review
Medicine, General & Internal
Hana Baroudi, Kristy K. Brock, Wenhua Cao, Xinru Chen, Caroline Chung, Laurence E. Court, Mohammad D. El Basha, Maguy Farhat, Skylar Gay, Mary P. Gronberg, Aashish Chandra Gupta, Soleil Hernandez, Kai Huang, David A. Jaffray, Rebecca Lim, Barbara Marquez, Kelly Nealon, Tucker J. Netherton, Callistus M. Nguyen, Brandon Reber, Dong Joo Rhee, Ramon M. Salazar, Mihir D. Shanker, Carlos Sjogreen, McKell Woodland, Jinzhong Yang, Cenji Yu, Yao Zhao
Summary: This paper discusses various aspects of assessing the clinical acceptability of AI-based tools for contouring and treatment planning in radiotherapy, and explores how to establish a standard for defining the clinical acceptability of new autocontouring and planning tools.
Article
Chemistry, Physical
Joel Valerian, Dwi Seno Kuncoro Sihono
Summary: This study used machine learning to train a model for anomaly detection in the quality assurance of radiotherapy treatment planning. The results showed that most radiomics features are noise that need to be removed for the model to detect suboptimal treatment plans. The planning target volume segment along with the first-order radiomics features group is the main differentiator between optimal and suboptimal treatment plans.
RADIATION PHYSICS AND CHEMISTRY
(2023)
Review
Oncology
Michael Sherer, Diana Lin, Sharif Elguindi, Simon Duke, Li-Tee Tan, Jon Cacicedo, Max Dahele, Erin F. Gillespie
Summary: Advances in AI-based methods have led to the development of auto-segmentation systems in radiotherapy. However, there is no uniform standard for evaluating their efficacy. Common evaluation techniques include geometric overlap, dosimetric parameters, and clinical rating scales, with many geometric indices showing weak correlation with clinical endpoints. A multi-domain evaluation is necessary to assess the clinical readiness of auto-segmentation for radiation treatment planning.
RADIOTHERAPY AND ONCOLOGY
(2021)
Article
Oncology
Jun Zhang, Xiuqing Li, Miaomiao Lu, Qilin Zhang, Xile Zhang, Ruijie Yang, Maria F. Chan, Junhai Wen
Summary: This study developed a novel model to predict EPID transmission images based on fluence maps from RT plans for in vivo treatment verification. The model was evaluated with 20 clinical plans and showed high accuracy, suggesting its potential utility for IMRT and VMAT treatment delivery verification.
RADIATION ONCOLOGY
(2021)
Article
Engineering, Biomedical
D. Schuring, H. Westendorp, E. van der Bijl, G. H. Bol, W. Crijns, A. Delor, Y. Jourani, C. Loon Ong, J. Penninkhof, R. Kierkels, W. Verbakel, T. van de Water, J. B. van de Kamer
Summary: A subcommittee of NCS was established in 2018 to update and extend a previous publication on the quality assurance of TPS. This report has a broader scope, focusing on the department-wide implementation of TPS, and includes new sections on education, automated planning, IT, and updates.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yee Man Tai, Veng Jean Heng, Marc-Andre Renaud, Monica Serban, Jan Seuntjens
Summary: This study investigates the feasibility of using MapCHECK and log file-dose reconstruction for MBRT plan verification. The results show excellent agreement between the measured and simulated dose distribution using MapCHECK, as well as between the log file-dose recalculation and planned dose. These findings demonstrate the potential of using MapCHECK and log files as quality assurance tools for MBRT.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jingwei Duan, Mark E. Bernard, James R. Castle, Xue Feng, Chi Wang, Mark C. Kenamond, Quan Chen
Summary: This research develops an improved contouring quality assurance system to detect and flag manual contouring errors. It compares manually segmented contours with DLAS contours using 27 geometric agreement metrics and utilizes machine learning to optimize the training of a classification model. The proposed ML-MF approach demonstrates superior performance compared to traditional methods.
Article
Radiology, Nuclear Medicine & Medical Imaging
Joseph V. Panetta, Iavor Veltchev, Robert A. Price, C-M Charlie Ma
Summary: This study investigates the effect of dose gradient on quality assurance passing rate in IMRT delivery. The results show that the passing rate is generally correlated to the dose gradient, but the correlation is not predictable and varies with the measurement location.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Valerio Silvestri, Davide Raspanti, Maria Giovanna Guerrisi, Maria Daniela Falco
Summary: The purpose of this study is to determine the error detection sensitivity of a commercial log file-based system (LINACWatch (R), LW) and compare it with a measurement device (OCTAVIUS 4D, Oct4D) for IMRT and VMAT delivery QA. The results showed that LW has a higher sensitivity in detecting errors compared to Oct4D.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2023)
Article
Oncology
Robert Poel, Amith J. Kamath, Jonas Willmann, Nicolaus Andratschke, Ekin Ermis, Daniel M. Aebersold, Peter Manser, Mauricio Reyes
Summary: Accurate radiotherapy requires clear definition of organs and tumor volumes, and automatic segmentation models can improve efficiency. In this study, a 3D dose prediction model was trained for glioblastoma radiation therapy and tested for sensitivity and robustness to contour variations.
Article
Radiology, Nuclear Medicine & Medical Imaging
Timothy C. Zhu, Sotiris Stathakis, Jennifer R. Clark, Wenzheng Feng, Dietmar Georg, Shannon M. Holmes, Stephen F. Kry, Chang-Ming Charlie Ma, Moyed Miften, Dimitris Mihailidis, Jean M. Moran, Niko Papanikolaou, Bjorn Poppe, Ying Xiao
Summary: This report discusses the importance of independent verification of dose in radiation oncology, the role of secondary dose calculation programs, guidelines for IMRT or VMAT dose verification, and a review of various algorithms for independent monitor unit calculations.
Article
Radiology, Nuclear Medicine & Medical Imaging
Chaoqiong Ma, Ruoxi Wang, Shun Zhou, Meijiao Wang, Haizhen Yue, Yibao Zhang, Hao Wu
Summary: The combination of radiomics analysis on SSIM sub-index maps and machine learning techniques can effectively identify delivery errors in patient-specific dynamic IMRT QA. The ML model shows significantly higher classification accuracy compared to the traditional gamma analysis method.
Review
Radiology, Nuclear Medicine & Medical Imaging
Alexander F. I. Osman, Nabil M. Maalej
Summary: This study reviews ML and DL based models for patient-specific IMRT and VMAT QA outcome predictions, demonstrating promising prediction accuracy and potential as time-efficient virtual QA tools.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2021)
Article
Oncology
Nicholas Damico, Joshua Meyer, Prajnan Das, James Murphy, Eric Miller, Bridget Koontz, William Hall, Mary McBride, Gisele Pereira, Paul Catalano, A. Bapsi Chakravarthy, Peter J. O'Dwyer, Jennifer Dorth
Summary: This guideline provides customized radiation treatment recommendations for early stage anal cancer, including guidance on positioning, target volumes, and planning volumes.
PRACTICAL RADIATION ONCOLOGY
(2022)
Article
Engineering, Biomedical
Odran Pivot, Patrick Pittet, Rolf Clackdoyle, Laurent Desbat, Simon Rit
Summary: This study developed a novel method to reconstruct MLC-shaped small irradiation fields from six projections, which can be used for quality assurance in radiotherapy. The results showed that the proposed method accurately reconstructed dose distributions and was suitable for water-equivalent real-time small irradiation fields QA.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lee Goddard, Kyoungkeun Jeong, Wolfgang A. Tome
Summary: The Radixact Synchrony system allows for target motion correction, requiring a series of QA tests. The evaluation of the Synchrony system using a range of QA devices shows consistently high dosimetric accuracy, with large improvements in dose distribution when motion is accounted for.
Article
Radiology, Nuclear Medicine & Medical Imaging
Hania A. Al-Hallaq, Laura Cervino, Alonso N. Gutierrez, Amanda Havnen-Smith, Susan A. Higgins, Malin Kugele, Laura Padilla, Todd Pawlicki, Nicholas Remmes, Koren Smith, Xiaoli Tang, Wolfgang A. Tome
Summary: The clinical use of surface imaging has significantly increased for patient positioning, motion monitoring, and beam gating. Task Group 302 commissioned by the American Association of Physicists in Medicine reviewed the current uses and emerging applications of surface imaging in clinical settings, providing technical guidelines and recommendations.
Letter
Oncology
Nitin Ohri, Wolfgang A. Tome, Alejandra Mendez Romero, Moyed Miften, Randall K. Ten Haken, Laura A. Dawson, Jimm Grimm, Ellen Yorke, Andrew Jackson
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
N. Patrik Brodin, Leslie Schulte, Christian Velten, William Martin, Sydney Shen, Jin Shen, Amar Basavatia, Nitin Ohri, Madhur K. Garg, Colin Carpenter, Wolfgang A. Tome
Summary: This study quantifies the clinical performance of a machine learning algorithm for organ-at-risk (OAR) dose prediction for lung stereotactic body radiation therapy (SBRT). It shows the potential for improved OAR dose sparing and more consistent plan quality using dose predictions for patient-specific planning guidance.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yunjie Yang, Chengyu Shi, Chin-Cheng Chen, Pingfang Tsai, Minglei Kang, Sheng Huang, Chih-Hsun Lin, Fu-Xiong Chang, Arpit M. Chhabra, J. Isabelle Choi, Wolfgang A. Tome, Charles B. Simone, Haibo Lin
Summary: This study aims to investigate the experimental measurement methods for two-dimensional (2D) dose rate distributions in proton pencil beam scanning (PBS) FLASH radiation therapy (RT). A newly designed 2D strip-segmented ionization chamber array (SICA) with high spatial and temporal resolution was characterized and tested in a modern proton PBS delivery system. The results demonstrated that the SICA has excellent accuracy, linearity, and can accurately measure 2D dose and dose rate distributions.
Article
Oncology
Vinai Gondi, Glenn Bauman, Lisa Bradfield, Stuart H. Burri, Alvin R. Cabrera, Danielle A. Cunningham, Bree R. Eaton, Jona A. Hattangadi-Gluth, Michelle M. Kim, Rupesh Kotecha, Lianne Kraemer, Jing Li, Seema Nagpal, Chad G. Rusthoven, John H. Suh, Wolfgang A. Tome, Tony J. C. Wang, Alexandra S. Zimmer, Mateo Ziu, Paul D. Brown
Summary: This article presents the latest guidelines for the management of brain metastases, including advanced radiation therapy techniques and systemic therapies with central nervous system activity. The guidelines are based on a systematic review and provide recommendations using a predefined consensus-building methodology and grading system. Strong recommendations are made for the use of stereotactic radiosurgery (SRS) and upfront local therapy, with conditional recommendations for surgical resection and safe deferral of local therapy. Additional recommendations are made for patients with limited metastases and favorable prognosis.
PRACTICAL RADIATION ONCOLOGY
(2022)
Article
Oncology
Christian Velten, Lee Goddard, Kyoungkeun Jeong, Madhur K. Garg, Wolfgang A. Tom
Summary: The study assessed the image quality metrics of helical fan beam kVCT and found its comparability in localization and setup verification, but unsuitability for simulation or planning of stereotactic procedures.
ADVANCES IN RADIATION ONCOLOGY
(2022)
Article
Oncology
Brett I. Bell, Justin Vercellino, N. Patrik Brodin, Christian Velten, Lalitha S. Y. Nanduri, Prashanth K. B. Nagesh, Kathryn E. Tanaka, Yanan Fang, Yanhua Wang, Rodney Macedo, Jeb English, Michelle M. Schumacher, Phaneendra K. Duddempudi, Patrik Asp, Wade Koba, Shahin Shajahan, Laibin Liu, Wolfgang A. Tome, Weng-Lang Yang, Richard Kolesnick, Chandan Guha
Summary: This study compared the effects of orthovoltage X-rays and Cs-137 gamma-rays on mouse models of acute radiation syndrome. The results showed that orthovoltage X-rays caused more severe damage to bone marrow, spleen, and intestinal tissue, requiring dose reduction to achieve similar biological effects.
Article
Oncology
Ying Liang, Karen Lee, Joseph A. Bovi, Joshua D. Palmer, Paul D. Brown, Vinai Gondi, Wolfgang A. Tome, Tammie L. S. Benzinger, Minesh P. Mehta, X. Allen Li
Summary: This study investigated the application of deep convolutional neural networks (DCNN) for brain metastases (BM) detection and segmentation on a highly heterogeneous multi-institutional data set. The results showed that the developed DCNN model can automatically detect and segment brain metastases with reasonable accuracy, high sensitivity, and low false positive rate on a multi-institutional data set with non-prespecified and highly variable magnetic resonance imaging sequences.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2022)
Article
Oncology
Fardeen Bhimani, Kelly Johnson, N. Patrik Brodin, Wolfgang A. Tome, Jana Fox, Keyur Mehta, Maureen McEvoy, Sheldon Feldman
Summary: This study aimed to investigate the feasibility and safety of using Intra-operative radiotherapy (IORT) in breast cancer patients with pacemakers. The case reports demonstrated the successful use of targeted IORT for breast-conserving surgery without any pacemaker malfunctions, providing a new treatment option for these patients. Further clinical studies are recommended to explore the effects of IORT on pacemakers and reinforce safety guidelines.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Megi Gjini, Sadia Ahmed, Shalom Kalnicki, Wolfgang A. Tome, Madhur K. Garg, Rafi Kabarriti, N. Patrik Brodin
Summary: This study aimed to evaluate the changes in parotid glands during mid-treatment of IMRT and the association between radiation dose to parotid gland stem cell (PGSC) region and patient-reported xerostomia. The results showed that there were significant anatomical changes in the size and position of the parotid glands during mid-treatment, and the association between radiation dose to the PGSC region and xerostomia was not stronger than that of the whole parotid gland. Adaptive planning strategies are needed to evaluate the true benefit of parotid stem cell sparing.
Article
Radiology, Nuclear Medicine & Medical Imaging
Christian Velten, Wolfgang A. Tome
Summary: In this research, the physical simulation and biological modeling of nanoparticle-derived radiosensitization were replicated. Monte Carlo simulations were performed to study the interactions between nanoparticles and photons or protons, and biological modeling was used to evaluate the survival fractions of breast cancer cells. The results showed good agreement with previous data, highlighting the importance of a detailed description of photon spectra and reproducibility of experiments. Further investigation of the stochastic nature of nanoparticle radiosensitization is ongoing.
BIOMEDICAL PHYSICS & ENGINEERING EXPRESS
(2023)
Correction
Radiology, Nuclear Medicine & Medical Imaging
Vitali Moiseenko, Wolfgang A. Tome, Stanley H. Benedict
Article
Oncology
N. Patrik Brodin, Christian Velten, Jonathan Lubin, Jeremy Eichler, Shaoyu Zhu, Sneha Saha, Chandan Guha, Shalom Kalnicki, Wolfgang A. Tome, Madhur K. Garg, Rafi Kabarriti
Summary: This study investigated whether pre-treatment primary tumor PET features could predict progression-free survival or distant metastases in oropharyngeal cancer patients. The results showed that radiomic features could predict PFS and DM risk, potentially providing immunotherapy for high-risk patients.
PHYSICS & IMAGING IN RADIATION ONCOLOGY
(2022)
Meeting Abstract
Oncology
P. Brodin, C. Velten, S. Zhu, M. Hauze, W. A. Tome, L. N. Rajdev, S. Goel, J. W. Chuy, C. Guha, S. Kalnicki, M. K. Garg, R. Kabarriti
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2021)