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Evaluation and mitigation of deformable image registration uncertainties for MRI‐guided adaptive radiotherapy J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-18 Hualiang Zhong, Kristofer K. Kainz, Eric S. Paulson
PurposeWe evaluate the performance of a deformable image registration (DIR) software package in registering abdominal magnetic resonance images (MRIs) and then develop a mechanical modeling method to mitigate detected DIR uncertainties.Materials and MethodsThree evaluation metrics, namely mean displacement to agreement (MDA), DICE similarity coefficient (DSC), and standard deviation of Jacobian determinants
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The impact of advancing the standard of care in radiotherapy on operational treatment resources J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-18 Michael Roumeliotis, Kundan Thind, Hali Morrison, Ben Burke, Kevin Martell, Lukas van Dyke, Lisa Barbera, Sarah Quirk
PurposeTo demonstrate the impact of implementing hypofractionated prescription regimens and advanced treatment techniques on institutional operational hours and radiotherapy personnel resources in a multi‐institutional setting. The study may be used to describe the impact of advancing the standard of care with modern radiotherapy techniques on patient and staff resources.MethodsThis study uses radiation
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First implementation of an innovative infra‐red camera system integrated into a mobile CBCT scanner for applicator tracking in brachytherapy—Initial performance characterization J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-16 Andre Karius, Lisa Marie Leifeld, Vratislav Strnad, Rainer Fietkau, Christoph Bert
PurposeTo enable a real‐time applicator guidance for brachytherapy, we used for the first time infra‐red tracking cameras (OptiTrack, USA) integrated into a mobile cone‐beam computed tomography (CBCT) scanner (medPhoton, Austria). We provide the first description of this prototype and its performance evaluation.MethodsWe performed assessments of camera calibration and camera‐CBCT registration using
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Novel utilization and quantification of Xsight diaphragm tracking for respiratory motion compensation in Cyberknife Synchrony treatment of liver tumors J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-16 Jianping Zhang, Lin Wang, Chenyu Xie, Zhiyu Yang, Benhua Xu, Xiaobo Li
PurposeThe Xsight lung tracking system (XLTS) utilizes an advanced image processing algorithm to precisely identify the position of a tumor and determine its location in orthogonal x‐ray images, instead of finding fiducials, thereby minimizing the risk of fiducial insertion‐related side effects. To assess and gauge the effectiveness of CyberKnife Synchrony in treating liver tumors located in close
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Characterization of a novel VenusX orthogonal dual‐layer multileaf collimator J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-15 Qingxin Wang, Qifeng Li, Zhongqiu Wang, Chengwen Yang, Daguang Zhang, Jun Wang, Ping Wang, Wei Wang
PurposeTo investigate and characterize the performance of a novel orthogonal dual‐layer alpha multileaf collimator (αMLC) mounted on the LinaTech VenusX linac.MethodsWe evaluated leaf positioning accuracy and reproducibility using an electronic portal imaging device through the picket fence test. The average, interleaf, intraleaf, and leaf tip transmissions of the single and dual layers were measured
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Implementation of a programmatic assessment model in radiation oncology medical physics training J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-15 Cathy Barbagallo, Kristy Osborne, Claire Dempsey
PurposeIn 2019, a formal review and update of the current training program for medical physics residents/registrars in Australasia was conducted. The purpose of this was to ensure the program met current local clinical and technological requirements, to improve standardization of training across Australia and New Zealand and generate a dynamic curriculum and programmatic assessment model.MethodsA four‐phase
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Design and implementation of automated notification systems and an electronic whiteboard for radiation therapy planning monitoring J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-14 Ping Yan, Jin Shen, Amar Basavatia, Madhur K. Garg, Wolfgang A. Tomé
PurposeRadiotherapy (RT) treatment and treatment planning is a complex process prepared and delivered by a multidisciplinary team of specialists. Efficient communication and notification systems among different team members are therefore essential to ensure the safe, timely delivery of treatments to patients.MethodTo address this issue, we developed and implemented automated notification systems and
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Physician scatter dose in interventional CT fluoroscopy J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-14 Emily A. Knott, Jonathan L. Troville, Carlos Alberto Reynoso, Sean D. Rose, Martin G. Wagner, Fred T. Lee, Jeffery L. Radtke, Daniel R. Anderson, Annie Zlevor, Meghan G. Lubner, J. Louis Hinshaw, Timothy P. Szczykutowicz
PurposeTo quantify operator dose in interventional CT fluoroscopy (CTF) procedures and compare to catheterization laboratory and interventional radiology procedures.MethodsFifteen studies quantifying operator scatter dose for c‐arm fluoroscopy and CTF were reviewed from a literature survey. The dose provided in each study was normalized to skin entrance air kerma and air kerma rate including backscatter
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Evaluating automatically generated normal tissue contours for safe use in head and neck and cervical cancer treatment planning J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-13 Raphael Douglas, Adenike Olanrewaju, Raymond Mumme, Lifei Zhang, Beth M. Beadle, Laurence Edward Court
PurposeVolumetric‐modulated arc therapy (VMAT) is a widely accepted treatment method for head and neck (HN) and cervical cancers; however, creating contours and plan optimization for VMAT plans is a time‐consuming process. Our group has created an automated treatment planning tool, the Radiation Planning Assistant (RPA), that uses deep learning models to generate organs at risk (OARs), planning structures
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Monte Carlo evaluation of uncertainties in photon and electron TG‐51 absorbed dose calibration J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-12 Patrick N. McDermott
PurposeThe accuracy of dose delivery to all patients treated with medical linacs depends on the accuracy of beam calibration. Dose delivery cannot be any more accurate than this. Given the importance of this, it seems worthwhile taking another look at the expected uncertainty in TG‐51 photon dose calibration and a first look at electron calibration. This work builds on the 2014 addendum to TG‐51 for
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An adult and pediatric size‐based contrast administration reduction phantom study for single and dual‐energy CT through preservation of contrast‐to‐noise ratio J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-12 Jia Wang, Xinhui Duan, Usman Mahmood, Sarah Eva McKenney, Samuel Loren Brady
BackgroundGlobal shortages of iodinated contrast media (ICM) during COVID‐19 pandemic forced the imaging community to use ICM more strategically in CT exams.PurposeThe purpose of this work is to provide a quantitative framework for preserving iodine CNR while reducing ICM dosage by either lowering kV in single‐energy CT (SECT) or using lower energy virtual monochromatic images (VMI) from dual‐energy
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Impact of proton PBS machine operating parameters on the effectiveness of layer rescanning for interplay effect mitigation in lung SBRT treatment J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-09 Xiaoying Liang, Chunbo Liu, Jiajian Shen, Stella Flampouri, Justin C. Park, Bo Lu, Sridhar Yaddanapudi, Jun Tan, Keith M. Furutani, Chris J. Beltran
BackgroundRescanning is a common technique used in proton pencil beam scanning to mitigate the interplay effect. Advances in machine operating parameters across different generations of particle therapy systems have led to improvements in beam delivery time (BDT). However, the potential impact of these improvements on the effectiveness of rescanning remains an underexplored area in the existing research
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Image quality characterization of an ultra‐high‐speed kilovoltage cone‐beam computed tomography imaging system on an O‐ring linear accelerator J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-05 Euidam Kim, Yang Kyun Park, Tianyu Zhao, Eric Laugeman, Xiaodong Neo Zhao, Yao Hao, Yoonsun Chung, Hugh Lee
PurposeThe quality of on‐board imaging systems, including cone‐beam computed tomography (CBCT), plays a vital role in image‐guided radiation therapy (IGRT) and adaptive radiotherapy. Recently, there has been an upgrade of the CBCT systems fused in the O‐ring linear accelerators called HyperSight, featuring a high imaging performance. As the characterization of a new imaging system is essential, we
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Dosimetric validation of intensity‐modulated bolus electron conformal therapy planning and delivery using an anthropomorphic cylindrical head phantom J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-05 Andrew S. McGuffey, Garrett M. Pitcher, Kevin J. Erhart, Kenneth R. Hogstrom
PurposeThis work investigated the dosimetric accuracy of the intensity‐modulated bolus electron conformal therapy (IM‐BECT) planning and delivery process using the decimal ElectronRT (eRT) treatment planning system.MethodsAn IM‐BECT treatment plan was designed using eRT for a cylindrical, anthropomorphic retromolar trigone phantom. Treatment planning involved specification of beam parameters and design
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Assessing the sensitivity and suitability of a range of detectors for SIMT PSQA J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-03 Leon Dunn, Alessia Tamborriello, Brindha Subramanian, Xiaolei Xu, Tyrone Te Ruruku
PurposeSingle‐isocenter multi‐target intracranial stereotactic radiotherapy (SIMT) is an effective treatment for brain metastases with complex treatment plans and delivery optimization necessitating rigorous quality assurance. This work aims to assess five methods for quality assurance of SIMT treatment plans in terms of their suitability and sensitivity to delivery errors.MethodsSun Nuclear ArcCHECK
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Repurposing DailyQA3 for an efficient and spot position sensitive daily quality assurance tool for proton therapy J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-04-02 Hong Qi Tan, Calvin Wei Yang Koh, Kah Seng Lew, Ping Lin Yeap, Clifford Ghee Ann Chua, James Kuan Huei Lee, Yun Ming Wong, Andrew Wibawa, Zubin Master, James Cheow Lei Lee, Sung Yong Park
IntroductionDaily quality assurance is an integral part of a radiotherapy workflow to ensure the dose is delivered safely and accurately to the patient. It is performed before the first treatment of the day and needs to be time and cost efficient for a multiple gantries proton center. In this study, we introduced an efficient method to perform QA for output constancy, range verification, spot positioning
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Commissioning and clinical implementation of an independent dose calculation system for scanned proton beams J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-30 Ralf Dreindl, Marta Bolsa‐Ferruz, Rosa Fayos‐Sola, Fatima Padilla Cabal, Lukas Scheuchenpflug, Alessio Elia, Antonio Amico, Antonio Carlino, Markus Stock, Loïc Grevillot
PurposeExperimental patient‐specific QA (PSQA) is a time and resource‐intensive process, with a poor sensitivity in detecting errors. Radiation therapy facilities aim to substitute it by means of independent dose calculation (IDC) in combination with a comprehensive beam delivery QA program. This paper reports on the commissioning of the IDC software tool myQA iON (IBA Dosimetry) for proton therapy
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Comprehensive beam delivery latency evaluation for gated proton therapy system using customized multi‐channel signal acquisition platform J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-29 Zhipeng Liu, Lingjing Pan, Tao Ma, Hsiao‐Ming Lu, Yuanyuan Wang
PurposeBeam delivery latency in respiratory‐gated particle therapy systems is a crucial issue to dose delivery accuracy. The aim of this study is to develop a multi‐channel signal acquisition platform for investigating gating latencies occurring within RPM respiratory gating system (Varian, USA) and ProBeam proton treatment system (Varian, USA) individually.MethodsThe multi‐channel signal acquisition
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Multi‐scale nested UNet with transformer for colorectal polyp segmentation J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-29 Zenan Wang, Zhen Liu, Jianfeng Yu, Yingxin Gao, Ming Liu
BackgroundPolyp detection and localization are essential tasks for colonoscopy. U‐shape network based convolutional neural networks have achieved remarkable segmentation performance for biomedical images, but lack of long‐range dependencies modeling limits their receptive fields.PurposeOur goal was to develop and test a novel architecture for polyp segmentation, which takes advantage of learning local
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A prior‐information‐based automatic segmentation method for the clinical target volume in adaptive radiotherapy of cervical cancer J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-28 Xuanhe Wang, Yankui Chang, Xi Pei, Xie George Xu
ObjectiveAdaptive planning to accommodate anatomic changes during treatment often requires repeated segmentation. In this study, prior patient‐specific data was integrateda into a registration‐guided multi‐channel multi‐path (Rg‐MCMP) segmentation framework to improve the accuracy of repeated clinical target volume (CTV) segmentation.MethodsThis study was based on CT image datasets for a total of 90
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Technical note: A comparison of physician doses in C‐Arm and CT fluoroscopy procedures J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-27 Jonathan Troville, Emily Knott, Carlos Alberto Reynoso‐Mejia, Martin Wagner, Fred T. Lee, Timothy P. Szczykutowicz
PurposeWe address the misconception that the typical physician dose is higher for CT fluoroscopy (CTF) procedures compared to C‐Arm procedures.MethodsWe compare physician scatter doses using two methods: a literature review of reported doses and a model based on a modified form of the dose area product (DAP). We define this modified form of DAP, “cumulative absorbed DAP,” as the product of the area
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Establishment and preliminary application of personalized three‐dimensional reconstruction of thyroid gland with automatic detection of thyroid nodules based on ultrasound videos J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-26 Huang Yandong, Zhang Shiqi, Jia Lanting, Hu Wenxin, Chen Leyao, Huang Hejing
PurposeA well display of the spatial location of thyroid nodules in the thyroid is important for surgical path planning and surgeon‐patient communication. The aim of this study was to establish a three‐dimensional (3D) reconstruction method of the thyroid gland, thyroid nodule, and carotid artery with automatic detection based on two‐dimensional (2D) ultrasound videos, and to evaluate its clinical
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Skin marker combined with surface‐guided auto‐positioning for breast DIBH radiotherapy daily initial patient setup: An optimal schedule for both accuracy and efficiency J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-24 Jianjun Lai, Zhizeng Luo, Lu Jiang, Haili Hu, Chang Gao, Chuanfeng Zhang, Liting Chen, Jing Wu, Zhibing Wu
Background and purposeBy employing three surface‐guided radiotherapy (SGRT)‐assisted positioning methods, we conducted a prospective study of patients undergoing SGRT‐based deep inspiration breath‐hold (DIBH) radiotherapy using a Sentine/Catalys system. The aim of this study was to optimize the initial positioning workflow of SGRT‐DIBH radiotherapy for breast cancer.Materials and methodsA total of
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The value of global collaborations J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-24 Chris Trauernicht, Laurence Court
We would like to review our experience of a successful global collaboration between institutions in the United States, South Africa, and several other countries. Specifically, after working together for 8 years, we would like to share this experience and encourage others to initiate similar collaborations towards reducing inequities in health care across the world. We first met at a training course
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ACR benchmark testing of a novel high‐speed ring‐gantry linac kV‐CBCT system J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-23 Allison Haertter, Michael Salerno, Brandon Koger, Christopher Kennedy, Michelle Alonso‐Basanta, Lei Dong, Boon‐Keng Teo, Taoran Li
A new generation cone‐beam computed tomography (CBCT) system with new hardware design and advanced image reconstruction algorithms is available for radiation treatment simulation or adaptive radiotherapy (HyperSight CBCT imaging solution, Varian Medical Systems‐a Siemens Healthineers company). This study assesses the CBCT image quality metrics using the criteria routinely used for diagnostic CT scanner
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A target containing phantom for accuracy assessment of cone‐beam CT‐guided histotripsy J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-18 Ayca Z. Kutlu, Grace M. Minesinger, Paul F. Laeseke, Michael Speidel, Martin G. Wagner
PurposeHistotripsy is a nonionizing, noninvasive, and nonthermal focal tumor therapy. Cone‐beam computed tomography (CBCT) guidance was developed for targeting tumors not visible on ultrasound. This approach assumes cavitation is formed at the geometrical focal point of the therapy transducer. In practice, the exact location might vary slightly between transducers. In this study, we present a phantom
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Characterization of the IDENTIFYTM surface scanning system for radiation therapy setup on a closed-bore linac J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-18 Janita Dekker, Sander van het Schip, Marion Essers, Mariska de Smet, Martijn Kusters, Willy de Kruijf
In radiation therapy, surface guidance can be used for patient setup and intra-fraction motion monitoring. The surface guided radiation therapy (SGRT) system from Varian Medical systems, IDENTIFYTM, consists of three pods, including cameras and a random pattern projector, mounted on the ceiling. The information captured by the cameras is used to make a reconstruction of the surface. The aim of the
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Analysis of left ventricle regional myocardial motion for cardiac radioablation J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-17 Justin Poon, Richard B. Thompson, Marc W. Deyell, Devin Schellenberg, Haley Clark, Stefan Reinsberg, Steven Thomas
PurposeLeft ventricle (LV) regional myocardial displacement due to cardiac motion was assessed using cardiovascular magnetic resonance (CMR) cine images to establish region‐specific margins for cardiac radioablation treatments.MethodsCMR breath‐hold cine images and LV myocardial tissue contour points were analyzed for 200 subjects, including controls (n = 50) and heart failure (HF) patients with preserved
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Error detection using a multi‐channel hybrid network with a low‐resolution detector in patient‐specific quality assurance J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-16 Bing Yan, Jun Shi, Xudong Xue, Hu Peng, Aidong Wu, Xiao Wang, Chi Ma
PurposeThis study aimed to develop a hybrid multi‐channel network to detect multileaf collimator (MLC) positional errors using dose difference (DD) maps and gamma maps generated from low‐resolution detectors in patient‐specific quality assurance (QA) for Intensity Modulated Radiation Therapy (IMRT).MethodsA total of 68 plans with 358 beams of IMRT were included in this study. The MLC leaf positions
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Dual‐branch feature fusion S3D V‐Net network for lung nodules segmentation J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-13 Xiaoru Xu, Lingyan Du, Dongsheng Yin
BackgroundAccurate segmentation of lung nodules can help doctors get more accurate results and protocols in early lung cancer diagnosis and treatment planning, so that patients can be better detected and treated at an early stage, and the mortality rate of lung cancer can be reduced.PurposeCurrently, the improvement of lung nodule segmentation accuracy has been limited by his heterogeneous performance
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Evaluation of the availability of single‐position treatment with a rotating gantry and the validity of deformable image registration dose assessment for pancreatic cancer carbon‐ion radiotherapy J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-13 Yuya Miyasaka, Shohei Kawashiro, Sung Hyun Lee, Hikaru Souda, Mayumi Ichikawa, Hongbo Chai, Miyu Ishizawa, Takuya Ono, Hiraku Sato, Takeo Iwai
BackgroundThis study aimed to evaluate the clinical acceptability of rotational gantry‐based single‐position carbon‐ion radiotherapy (CIRT) to reduce the gastrointestinal (GI) dose in pancreatic cancer. We also evaluated the usefulness of the deformable image registration (DIR)‐based dosimetry method for CIRT.Material and methodsFifteen patients with pancreatic cancer were analyzed. The treatment plans
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No gadolinium K-edge detected on the first clinical photon-counting computed tomography scanner J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-12 Erik Baubeta, Eva Laurin Gadsböll, Leon Will, Fredrik Holmquist, Marie-Louise Aurumskjöld
This study aimed to elucidate whether gadolinium contrast in clinically relevant doses can be used with photon-counting computed tomography (PCCT) as an alternative contrast agent in clinical applications.
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MR‐linac MLC positioning QA by digitally stitching dual double‐exposed films J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-11 Sheng‐Hsuan Sun, Erika Kollitz, Wen‐Chih Tseng, Amanda Schwarz, Luke Maloney, Jonathan Li, Chihray Liu, Guanghua Yan
PurposeThe picket fence (PF) test is highly recommended for multi‐leaf collimator (MLC) quality assurance. However, since the electronic portal imaging device (EPID) on the Elekta Unity only covers a small area, it is not feasible to perform the PF test for the entire MLC. Here, we propose a technique for the PF test by stitching two double‐exposed films.MethodsTwo EBT3 films were used to encompass
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Protocol parameter extraction and centralization framework for comprehensive and in-depth CT protocol review and management J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-11 Andy LaBella, Da Zhang
CT protocol management is an arduous task that requires expertise from a variety of radiology professionals, including technologists, radiologists, radiology IT professionals, and medical physicists. Each CT vendor has unique, proprietary protocol file structures, some of which may vary by scanner model, making it difficult to develop a universal framework for distilling technical parameters to a human-readable
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Development of a digital star‐shot analysis system for comparing radiation and imaging isocenters of proton treatment machine J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-08 Ji Hye Han, Kwanghyun Jo
PurposeTo directly compare the radiation and imaging isocenters of a proton treatment machine, we developed and evaluated a real‐time radiation isocenter verification system.MethodsThe system consists of a plastic scintillator (PI‐200, Mitsubishi Chemical Corporation, Tokyo, Japan), an acrylic phantom, a steel ball on the detachable plate, Raspberry Pi 4 (Raspberry Pi Foundation, London, UK) with camera
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Impact of setup errors on the robustness of linac‐based single‐isocenter coplanar and non‐coplanar VMAT plans for multiple brain metastases J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-05 Xiaohuan Sun, Fada Guan, Qinghui Yun, Matthew Jennings, Simon Biggs, Zhongfei Wang, Wei Wang, Te Zhang, Mei Shi, Lina Zhao
PurposePatient setup errors have been a primary concern impacting the dose delivery accuracy in radiation therapy. A robust treatment plan might mitigate the effects of patient setup errors. In this reported study, we aimed to evaluate the impact of translational and rotational errors on the robustness of linac‐based, single‐isocenter, coplanar, and non‐coplanar volumetric modulated arc therapy treatment
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The sensitivity of radiobiological models in carbon ion radiotherapy (CIRT) and its consequences on the clinical treatment plan: Differences between LEM and MKM models J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-04 Joanna Góra, Sarah Grosshagauer, Piero Fossati, Marta Mumot, Markus Stock, Mansure Schafasand, Antonio Carlino
PurposeCarbon ion radiotherapy (CIRT) relies on relative biological effectiveness (RBE)‐weighted dose calculations. Japanese clinics predominantly use the microdosimetric kinetic model (MKM), while European centers utilize the local effect model (LEM). Despite both models estimating RBE‐distributions in tissue, their physical and mathematical assumptions differ, leading to significant disparities in
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Evaluation of the performance of both machine learning models using PET and CT radiomics for predicting recurrence following lung stereotactic body radiation therapy: A single‐institutional study J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-04 Hikaru Nemoto, Masahide Saito, Yoko Satoh, Takafumi Komiyama, Kan Marino, Shinichi Aoki, Hidekazu Suzuki, Naoki Sano, Hotaka Nonaka, Hiroaki Watanabe, Satoshi Funayama, Hiroshi Onishi
PurposePredicting recurrence following stereotactic body radiotherapy (SBRT) for non‐small cell lung cancer provides important information for the feasibility of the individualized radiotherapy and allows to select the appropriate treatment strategy based on the risk of recurrence. In this study, we evaluated the performance of both machine learning models using positron emission tomography (PET) and
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A radiotherapy community data‐driven approach to determine which complexity metrics best predict the impact of atypical TPS beam modeling on clinical dose calculation accuracy J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-01 Fre'Etta Mae Dayo Brooks, Mallory Carson Glenn, Victor Hernandez, Jordi Saez, Hunter Mehrens, Julianne Marie Pollard‐Larkin, Rebecca Maureen Howell, Christine Burns Peterson, Christopher Lee Nelson, Catharine Helen Clark, Stephen Frasier Kry
PurposeTo quantify the impact of treatment planning system beam model parameters, based on the actual spread in radiotherapy community data, on clinical treatment plans and determine which complexity metrics best describe the impact beam modeling errors have on dose accuracy.MethodsTen beam modeling parameters for a Varian accelerator were modified in RayStation to match radiotherapy community data
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The use of dose surface maps as a tool to investigate spatial dose delivery accuracy for the rectum during prostate radiotherapy J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-01 Haley M. Patrick, John Kildea
PurposeThis study aims to address the lack of spatial dose comparisons of planned and delivered rectal doses during prostate radiotherapy by using dose‐surface maps (DSMs) to analyze dose delivery accuracy and comparing these results to those derived using DVHs.MethodsTwo independent cohorts were used in this study: twenty patients treated with 36.25 Gy in five fractions (SBRT) and 20 treated with
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Technical note: A simple method for patient-specific quality assurance for lateral targets on a 1.5 T MR-Linac J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-01 William S. Ferris, Blake R. Smith, Daniel E. Hyer, Joel J. St-Aubin
The Elekta Unity magnetic resonance (MR) linac is limited to longitudinal couch motion and a sagittal-only laser, which restricts the ability to perform patient-specific quality assurance (PSQA) intensity-modulated radiotherapy (IMRT) measurements for very lateral targets. This work introduces a simple method to perform PSQA using the Sun Nuclear ArcCheck-MR phantom at left and right lateral positions
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A novel AP/PA total body irradiation technique using abutting IMRT fields at extended SSD J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-29 Xiaomin Liang, Peixiong Li, Qiuwen Wu
To develop a Total Body Irradiation (TBI) technique using IMRT at extended SSD that can be performed in any size Linac room.
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Performance characteristics of the 5-ring GE Discovery MI PET/CT scanner using AAPM TG-126 report J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-28 Refaat Y. AlMazrou, Shadei F. Alanazi, Mohammed H. Alzaid, Razan S. Al-Fakhranee, Shanli Ding, Osama R. Mawlawi
To report on the performance characteristics of the 5-ring GE Discovery MI PET/CT systems using the AAPM TG-126 report and compare these results to NEMA NU 2-2012 where applicable.
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Efficacious patient‐specific QA for Vertebra SBRT using a high‐resolution detector array SRS MapCHECK: AAPM TG‐218 analysis J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-28 Kemal Berk, Tomas Kron, Nicholas Hardcastle, Adam Unjin Yeo
PurposePatient‐specific quality assurance (PSQA) for vertebra stereotactic body radiation therapy (SBRT) presents challenges due to highly modulated small fields with high‐dose gradients between the target and spinal cord. This study aims to explore the use of the SRS MapCHECK® (SRSMC) for vertebra SBRT PSQA.MethodsTwenty vertebra SBRT treatment plans including prescriptions 20 Gy/1 fraction and 24
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MRI-based radiomic features for identifying recurrent prostate cancer after proton radiation therapy J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-26 Kazim Z. Gumus, Samuel Serrano Contreras, Mohammed Al-Toubat, Ira Harmon, Mauricio Hernandez, Savas Ozdemir, Sindhu Kumar, Nurcan Yuruk, Mutlu Mete, K. C. Balaji, Mark Bandyk, Dheeraj R. Gopireddy
Magnetic Resonance Imaging (MRI) evaluation of recurrent prostate cancer (PCa) following proton beam therapy is challenging due to radiation-induced tissue changes. This study aimed to evaluate MRI-based radiomic features so as to identify the recurrent PCa after proton therapy.
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International collaboration between low-middle-income and high-income institutions to improve radiation therapy care delivery J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-23 Diana Ng, Tatiana De Martin, Po Ting Wu, Peter Huang, Jennifer Davis, Jamil Serdiña, Jamie Nash, Sarah Knighton, Sherwin Cala, Tisha Lee V. Eduave, Anthony Albert Abad
The Philippines is a lower-middle-income island country with over 153 000 new cancer diagnosis each year. Despite many patients needing radiotherapy as part of disease management, there remains limitations to access. Currently, the Philippines has 50 linear accelerator facilities serving a population of 110 million. However, given the recommendation of 1 linear accelerator for every 250 thousand people
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Magnetic resonance guided adaptive post prostatectomy radiotherapy: Accumulated dose comparison of different workflows J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-23 Sean P. Hassan, Jeremiah de Leon, Vikneswary Batumalai, Zoe Moutrie, Louise Hogan, Yuanyuan Ge, Phillip Stricker, Michael G. Jameson
The aim of this study was to assess the use of magnetic resonance guided adaptive radiotherapy (MRgART) in the post-prostatectomy setting; comparing dose accumulation for our initial seven patients treated with fully adaptive workflow on the Unity MR-Linac (MRL) and with non-adaptive plans generated offline. Additionally, we analyzed toxicity in patients receiving treatment.
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Technical note: Minimizing CIED artifacts on a 0.35 T MRI-Linac using deep learning J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-18 Austen N. Curcuru, Deshan Yang, Hongyu An, Phillip S. Cuculich, Clifford G. Robinson, H. Michael Gach
Artifacts from implantable cardioverter defibrillators (ICDs) are a challenge to magnetic resonance imaging (MRI)-guided radiotherapy (MRgRT).
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Dosimetric evaluation in Helical TomoTherapy for lung SBRT using Monte Carlo-based independent dose verification software J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-18 Takahiro Kosaka, Jun Takatsu, Tatsuya Inoue, Kotaro Iijima, Michimasa Suzuki, Naoya Murakami, Naoto Shikama
To elucidate the dosimetric errors caused by a model-based algorithm in lung stereotactic body radiation therapy (SBRT) with Helical TomoTherapy (HT) using Monte Carlo (MC)-based dose verification software.
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A retrospective study on the investigation of potential dosimetric benefits of online adaptive proton therapy for head and neck cancer J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-18 Chih-Wei Chang, Duncan Bohannon, Zhen Tian, Yinan Wang, Mark W. Mcdonald, David S. Yu, Tian Liu, Jun Zhou, Xiaofeng Yang
Proton therapy is sensitive to anatomical changes, often occurring in head-and-neck (HN) cancer patients. Although multiple studies have proposed online adaptive proton therapy (APT), there is still a concern in the radiotherapy community about the necessity of online APT. We have performed a retrospective study to investigate the potential dosimetric benefits of online APT for HN patients relative
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Technical and clinical considerations of a physical liver phantom for CT radiomics analysis J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-22 Bino Abel Varghese, Steven Yong Cen, Kristin Jensen, Joshua Levy, Hilde Kjernlie Andersen, Anselm Schulz, Xiaomeng Lei, Vinay Anant Duddalwar, David John Goodenough
This study identifies key characteristics to help build a physical liver computed tomography (CT) phantom for radiomics harmonization; particularly, the higher-order texture metrics.
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Semi-supervised auto-segmentation method for pelvic organ-at-risk in magnetic resonance images based on deep-learning J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-22 Xianan Li, Lecheng Jia, Fengyu Lin, Fan Chai, Tao Liu, Wei Zhang, Ziquan Wei, Weiqi Xiong, Hua Li, Min Zhang, Yi Wang
In radiotherapy, magnetic resonance (MR) imaging has higher contrast for soft tissues compared to computed tomography (CT) scanning and does not emit radiation. However, manual annotation of the deep learning-based automatic organ-at-risk (OAR) delineation algorithms is expensive, making the collection of large-high-quality annotated datasets a challenge. Therefore, we proposed the low-cost semi-supervised
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Feasibility of Ethos adaptive treatments of lung tumors and associated quality assurance J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-22 Sonja Wegener, Stefan Weick, Robert Schindhelm, Jörg Tamihardja, Otto A. Sauer, Gary Razinskas
MotivationOnline adaptive radiotherapy with Ethos is based on the anatomy determined from daily cone beam computed tomography (CBCT) images. Dose optimization and computation are performed on the density map of a synthetic CT (sCT), a deformable registration of the initial planning CT (pCT) onto the current CBCT. Large density changes as present in the lung region are challenging the system.MethodsTreatment
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Spectral performance evaluation of a second-generation spectral detector CT J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-22 Leening P. Liu, Nadav Shapira, Sandra S. Halliburton, Sebastian Meyer, Amy Perkins, Harold I. Litt, Hans Ulrich Kauczor, Tim Leiner, Wolfram Stiller, Peter B. Noël
The aim of this study was to characterize a second-generation wide-detector dual-layer spectral computed tomography (CT) system for material quantification accuracy, acquisition parameter and patient size dependencies, and tissue characterization capabilities.
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Technical feasibility of novel immunostimulatory low‐dose radiation for polymetastatic disease with CBCT‐based online adaptive and conventional approaches J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-20 Nour Nasser, Bradford A. Perez, Jose A. Penagaricano, Jimmy J. Caudell, Daniel E. Oliver, Kujtim Latifi, Eduardo G. Moros, Gage Redler
PurposeA workflow/planning strategy delivering low‐dose radiation therapy (LDRT) (1 Gy) to all polymetastatic diseases using conventional planning/delivery (Raystation/Halcyon = “conventional”) and the AI‐based Ethos online adaptive RT (oART) platform is developed/evaluated.MethodsUsing retrospective data for ten polymetastatic non‐small cell lung cancer patients (5‐52 lesions each) with PET/CTs, gross
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Deep learning segmentation of organs-at-risk with integration into clinical workflow for pediatric brain radiotherapy J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-19 Lina Mekki, Sahaja Acharya, Matthew Ladra, Junghoon Lee
Radiation therapy (RT) of pediatric brain cancer is known to be associated with long-term neurocognitive deficits. Although target and organs-at-risk (OARs) are contoured as part of treatment planning, other structures linked to cognitive functions are often not included. This paper introduces a novel automatic segmentation tool specifically designed for the unique challenges posed by pediatric patients
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Deep-learning-based renal artery stenosis diagnosis via multimodal fusion J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-19 Xin Wang, Sheng Cai, Hongyan Wang, Jianchu Li, Yuqing Yang
Diagnosing Renal artery stenosis (RAS) presents challenges. This research aimed to develop a deep learning model for the computer-aided diagnosis of RAS, utilizing multimodal fusion technology based on ultrasound scanning images, spectral waveforms, and clinical information.
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A deep learning-based framework (Co-ReTr) for auto-segmentation of non-small cell-lung cancer in computed tomography images J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-19 Tenzin Kunkyab, Zhila Bahrami, Heqing Zhang, Zheng Liu, Derek Hyde
Deep learning-based auto-segmentation algorithms can improve clinical workflow by defining accurate regions of interest while reducing manual labor. Over the past decade, convolutional neural networks (CNNs) have become prominent in medical image segmentation applications. However, CNNs have limitations in learning long-range spatial dependencies due to the locality of the convolutional layers. Transformers