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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
Histotripsy 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 with
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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
Left 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.
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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
PurposeThis 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.Material/methodsA CTDI phantom with 3D printed rods filled with different concentrations of gadolinium and iodine contrast was scanned in a PCCT and an energy‐integrated computed tomography
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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 novel AP/PA total body irradiation technique using abutting IMRT fields at extended SSD J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-03-01 Xiaomin Liang, Peixiong Li, Qiuwen Wu
PurposeTo develop a Total Body Irradiation (TBI) technique using IMRT at extended SSD that can be performed in any size Linac room.MethodsPatients studied were placed on a platform close to the floor, directly under the gantry with cranial‐caudal axis parallel to the gantry rotation plane and at SSD ∼200 cm. Two abutting fields with the same external isocenter at gantry angles of ±21˚, collimator angle
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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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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
AimTo 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.Materials and MethodsTG‐126 testing was performed on two GE 5‐Rings Discovery MI scanners. Tests performed included spatial resolution, PET/CT image‐registration accuracy, sensitivity, count rate performance, accuracy
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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
PurposeThe 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.MethodsSeven patients
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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
ObjectiveThis study identifies key characteristics to help build a physical liver computed tomography (CT) phantom for radiomics harmonization; particularly, the higher‐order texture metrics.Materials and methodsCT scans of a radiomics phantom comprising of 18 novel 3D printed inserts with varying size, shape, and material combinations were acquired on a 64‐slice CT scanner (Brilliance 64, Philips
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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
PurposeThe 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.MethodsA phantom with multiple tissue‐mimicking and material‐specific inserts was scanned with a dual‐layer spectral detector CT using
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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
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A script-enabled interactive checklist document for efficient management of electronic devices in a busy multimodality radiotherapy clinic J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-18 Mark D. Pepin, Eric E. Brost, Kristi A. Klein, Yolanda I. Garces, Debra H. Brinkmann
Develop an efficient, interactive, and instructive checklist document for the management of implanted electronic medical devices in a multimodality radiotherapy clinic.
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Influence of dose calculation algorithms on the helical diode array using volumetric-modulated arc therapy for small targets J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-16 Tomohiro Ono, Hideaki Hirashima, Takanori Adachi, Hiraku Iramina, Takahiro Fujimoto, Megumi Uto, Mitsuhiro Nakamura, Takashi Mizowaki
For patient-specific quality assurance (PSQA) for small targets, the dose resolution can change depending on the characteristics of the dose calculation algorithms.
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Technical note: SpekPy Web—online x-ray spectrum calculations using an interface to the SpekPy toolkit J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-16 Robert Vorbau, Gavin Poludniowski
Knowledge of the photon spectrum emitted from an x-ray tube is frequently needed in imaging and dosimetry contexts. As the spectrum characteristics are influenced by several parameters and routine measurement of a spectrum is often impractical, a variety of software programs have been developed over the decades for convenient calculations. SpekPy is a state-of-the-art software package containing several
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Implementation of a patient safety training program in radiation oncology residency: A pilot study J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-15 Imran H. Chowdhury, Rashi Garg, Kathryn E. Huber, Nathaniel P. Stambaugh, Cassandra Stambaugh
An educational program using Radiation Oncology-Incident Learning System (RO-ILS) was developed to improve safety culture and training for radiation oncology (RO) residents.
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Assessing quality assurance of multi-leaf collimator using the structural similarity index J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-12 Hong Zhang, Baoshe Zhang, Giovanni Lasio, Shifeng Chen, Joubin Nasehi Tehrani
This study aims to evaluate the viability of utilizing the Structural Similarity Index (SSI*) as an innovative imaging metric for quality assurance (QA) of the multi-leaf collimator (MLC). Additionally, we compared the results obtained through SSI* with those derived from a conventional Gamma index test for three types of Varian machines (Trilogy, Truebeam, and Edge) over a 12-week period of MLC QA
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An IMRT planning technique for treating whole breast or chest wall with regional lymph nodes on Halcyon and Ethos J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-09 Kareem Rayn, Ryan Clark, Klea Hoxha, Anthony Magliari, Jack Neylon, Michael H. Xiang, Dylan P. O'Connell
Field size limitations on Halcyon and Ethos treatment machines largely preclude use of the conventional monoisocentric three-field technique for breast/chest wall and regional lymph nodes. We present an alternative, IMRT-based planning approach that facilitates treatment on Halcyon and Ethos while preserving plan quality.
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A CNN-based denoising method trained with images acquired with electron density phantoms for thin-sliced coronary artery calcium scans J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-12 Ching-Ching Yang, Kuei-Yuan Hou
This work proposed a convolutional neural network (CNN)-based method trained with images acquired with electron density phantoms to reduce quantum noise for coronary artery calcium (CAC) scans reconstructed with slice thickness less than 3 mm.
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Out of field scatter from electron applicator in modern linear accelerators J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-09 Bishwambhar Sengupta, Greg DeFillippo, James J. Sohn, Poonam Yadav, Indra J. Das
Electron out-of-field scatter is generally not given importance mainly in electron fields. However, this is important when applicator down and boost treatments are given usually at an angle from the central axis. The electron scatter dose is found to be far away from the central axis which could be easily ignored.
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Commissioning and implementing a Quality Assurance program for dedicated radiation oncology MRI scanners J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-08 Eric Poulin, Frederic Lacroix, Louis Archambault, Jean-David Jutras
ACR and AAPM task group's guidelines addressing commissioning for dedicated MR simulators were recently published. The goal of the current paper is to present the authors' 2-year experience regarding the commissioning and introduction of a QA program based on these guidelines and an associated automated workflow.
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Commissioning and initial validation of Eclipse eMC algorithm for the electron FLASH research extension (FLEX) system for pre-clinical studies J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-06 Kyuhak Oh, Kyle J. Gallagher, Ying Yan, Sumin Zhou
To investigate the feasibility of commissioning the 16 MeV electron FLASH Extension (FLEX) in the commercial treatment planning system (TPS) for biomedical research with cell and mouse models, and in silico treatment planning studies.
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Automatic image quality evaluation in digital radiography using for-processing and for-presentation images J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-05 Ioannis A. Tsalafoutas, Shady AlKhazzam, Virginia Tsapaki, Mohammed Hassan Kharita
To investigate the impact of digital image post-processing algorithms on various image quality (IQ) metrics of radiographic images under different exposure conditions.
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Automatic end-to-end VMAT treatment planning for rectal cancers J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-05 Kai Huang, Christine Chung, Ethan B. Ludmir, Lifei Zhang, Constance A. Owens, Jean Gumma-De La Vega, Jack Duryea, Yao Zhao, Xinru Chen, David Fuentes, Carlos E. Cardenas, Tina Marie Briere, Sam Beddar, Laurence E. Court, Prajnan Das
The treatment planning process from segmentation to producing a deliverable plan is time-consuming and labor-intensive. Existing solutions automate the segmentation and planning processes individually. The feasibility of combining auto-segmentation and auto-planning for volumetric modulated arc therapy (VMAT) for rectal cancers in an end-to-end process is not clear.
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Analysis of respiratory-induced motion trajectories of individual liver segments in patients with hepatocellular carcinoma J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-01 Takahiro Kato, Kimihiro Takemasa, Tomohiro Ikeda, Hisanori Sakagami, Ryohei Kato, Yuki Narita, Sho Oyama, Shinya Komori, Hisashi Yamaguchi, Masao Murakami
To analyze the respiratory-induced motion trajectories of each liver segment for hepatocellular carcinoma (HCC) to derive a more accurate internal margin and optimize treatment protocol selection.
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Resolving signal drift in the wall-mounted camera of the RGSC system J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-02-02 Jeonghoon Park, Justin D. Gagneur, Suzanne J. Chungbin, Yi Rong, Seng Boh Lim, Maria F. Chan
To present a modified calibration method to reduce signal drift due to table sagging in Respiratory Gating for Scanner (RGSC) systems with a wall-mounted camera.
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Independent Monte Carlo dose calculation identifies single isocenter multi-target radiosurgery targets most likely to fail pre-treatment measurement J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-01-30 Brett Erickson, Yunfeng Cui, Markus Alber, Chunhao Wang, Fang Fang Yin, John Kirkpatrick, Justus Adamson
For individual targets of single isocenter multi-target (SIMT) Stereotactic radiosurgery (SRS), we assess dose difference between the treatment planning system (TPS) and independent Monte Carlo (MC), and demonstrate persistence into the pre-treatment Quality Assurance (QA) measurement.
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Single isocenter versus dual isocenter treatment using flattening filter-free and jaw-tracking volumetrically modulated arc therapy for boot-shaped lung cancer: Evaluation of dosimetric and feasibility J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-01-29 Lei Zhang, Hang Cheng, Fenglei Du, Kainan Shao, Shiming Zheng, Yiwei Yang, Guoping Shan
To determine whether a dual-isocenter volumetrically modulated arc therapy (VMAT) technique results in lower normal pulmonary dosage compared to a traditional single isocenter technique for boot-shaped lung cancer.
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Automated size-specific dose estimates framework in thoracic CT using convolutional neural network based on U-Net model J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-01-31 Sakultala Ruenjit, Punnarai Siricharoen, Kitiwat Khamwan
This study aimed to develop an automated method that uses a convolutional neural network (CNN) for calculating size-specific dose estimates (SSDEs) based on the corrected effective diameter (Deffcorr) in thoracic computed tomography (CT).
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Using standardized workflows and quantitative data-driven management to reduce time interval from simulation to treatment initiation J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-01-31 Naichang Yu, Danielle LaHurd, Anthony Mastroianni, Anthony Magnelli, Rahul Tendulkar, Samuel T. Chao, John H. Suh, Ping Xia
External beam radiotherapy is a complex process, involving timely coordination among multiple teams. The aim of this study is to report our experience of establishing a standardized workflow and using quantitative data and metrics to manage the time-to-treatment initiation (TTI).
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Stereotactic radiotherapy of intracranial tumor beds on a ring-mounted Halcyon LINAC J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-01-26 Joshua Misa, Shane McCarthy, William St. Clair, Damodar Pokhrel
This study sought to evaluate the feasibility and efficacy of the Halcyon Ring Delivery System (RDS) for delivering stereotactic radiotherapy (SRT) treatments for intracranial tumors beds.
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Setup margins based on the inter- and intrafractional setup error of left-sided breast cancer radiotherapy using deep inspiration breath-hold technique (DIBH) and surface guided radiotherapy (SGRT) J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-01-25 Volker Rudat, Yanyan Shi, Ruping Zhao, Wei Yu
The use of volumetric modulated arc therapy (VMAT), simultaneous integrated boost (SIB), and hypofractionated regimen requires adequate patient setup accuracy to achieve an optimal outcome. The purpose of this study was to assess the setup accuracy of patients receiving left-sided breast cancer radiotherapy using deep inspiration breath-hold technique (DIBH) and surface guided radiotherapy (SGRT) and
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Intraoperative radiation therapy with 50 kV x-rays: A multi-institutional review J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-01-26 Anil Sethi, Sebastien Gros, Patrik Brodin, Beth Ghavidel, Xuedong Chai, Marija Popovic, Wolfgang Axel Tomé, Samuel Trichter, Xiaofeng Yang, Hualin Zhang, Valery Uhl
This report covers clinical implementation of a low kV intraoperative radiation therapy (IORT) program with the INTRABEAM® System (Carl Zeiss Meditec AG, Jena, Germany). Based on collective user experience from eight institutions, we discuss best methods of INTRABEAM quality assurance (QA) tests, commissioning measurements, clinical workflow, treatment planning, and potential avenues for research.
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A quantitative evaluation of the deep learning model of segmentation and measurement of cervical spine MRI in healthy adults J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-01-25 Yifeng Zhu, Yushi Li, Kexin Wang, Jinpeng Li, Xiaodong Zhang, Yaofeng Zhang, Jialun Li, Xiaoying Wang
To evaluate the 3D U-Net model for automatic segmentation and measurement of cervical spine structures using magnetic resonance (MR) images of healthy adults.
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A deep learning approach to remove contrast from contrast-enhanced CT for proton dose calculation J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-01-25 Xu Wang, Yao Hao, Ye Duan, Deshan Yang
Non-Contrast Enhanced CT (NCECT) is normally required for proton dose calculation while Contrast Enhanced CT (CECT) is often scanned for tumor and organ delineation. Possible tissue motion between these two CTs raises dosimetry uncertainties, especially for moving tumors in the thorax and abdomen. Here we report a deep-learning approach to generate NCECT directly from CECT. This method could be useful
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Gross failure rates and failure modes for a commercial AI-based auto-segmentation algorithm in head and neck cancer patients J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-01-23 Simon W. P. Temple, Carl G. Rowbottom
Artificial intelligence (AI) based commercial software can be used to automatically delineate organs at risk (OAR), with potential for efficiency savings in the radiotherapy treatment planning pathway, and reduction of inter- and intra-observer variability. There has been little research investigating gross failure rates and failure modes of such systems.
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Verification of surface-guided radiation therapy (SGRT) alignment for proton breast and chest wall patients by comparison to CT-on-rails and kV-2D alignment J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-01-24 Hui Zhao, Vikren Sarkar, Sara St James, Adam Paxton, Fan-Chi Frances Su, Ryan G. Price, Christian Dial, Matthew Poppe, David Gaffney, Bill Salter
Surface-guided radiation therapy (SGRT) systems have been widely installed and utilized on linear accelerators. However, the use of SGRT with proton therapy is still a newly developing field, and published reports are currently very limited.
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Systematic evaluation of spatial resolution and gamma criteria for quality assurance with detector arrays in stereotactic radiosurgery J. Appl. Clin. Med. Phys. (IF 2.1) Pub Date : 2024-01-24 Ann-Kathrin Stedem, Mark Tutty, Ndimofor Chofor, Marco Langhans, Christoph Kleefeld, Andreas A. Schönfeld
To characterize detector array spacing and gamma index for quality assurance (QA) of stereotactic radiosurgery (SRS) deliveries. Use the Nyquist theorem to determine the required detector spacing in SRS fields, and find optimal gamma indices to detect MLC errors using the SRS MapCHECK, ArcCHECK, and a portal imaging device (EPID).