Results 71 to 80 of about 1,467 (148)

Longitudinal CT number characterization of a novel upright CT for proton therapy planning

Journal of Applied Clinical Medical Physics, Volume 27, Issue 7, July 2026.
Abstract Background: The combination of upright CT and patient positioner for particle therapy presents potential for high precision image‐guided radiation therapy and online adaptive radiation therapy, where reliable CT performance is essential. Purpose: To evaluate the longitudinal stability of upright CT for proton radiation therapy, benchmark ...
Yuhao Yan, Jordan M. Slagowski, Jessica R. Miller, John W. Hayes, Minglei Kang, Carson A. Hoffman, Carri K. Glide‐Hurst   +6 more
wiley   +1 more source

The illusory correlation between geometrical similarity and physician satisfaction in heart auto‐segmentation revealed by a physician‐blind test

Journal of Applied Clinical Medical Physics, Volume 27, Issue 6, June 2026.
Abstract Background Auto‐segmentation tools are essential in adaptive radiation therapy (ART). While evaluation typically relies on geometric metrics like Dice similarity coefficient (DSC), high scores do not always translate to clinical acceptability.
Jae Choon Lee, Eun Jeong Heo, Song Heui Cho, Dong Yun Lee, Kyung Hwan Chang, Jang Bo Shim, Nam Kwon Lee, Suk Lee   +7 more
wiley   +1 more source

Quantitative assessment of CBCT image quality metrics and their translation to clinical Art workflow performance in breast cancer patients

Journal of Applied Clinical Medical Physics, Volume 27, Issue 6, June 2026.
Abstract Background Online adaptive radiotherapy (ART) relies on cone‐beam computed tomography (CBCT) imaging for daily treatment adaptation, but CBCT's physical limitations can compromise contour delineation and dose calculation accuracy. The relationship between image quality metrics and clinical ART workflow accuracy remains unclear.
Sunhwa Kim, Young Kyu Lee, Wonjoong Cheon, Yunji Seol, Byung‐Ock Choi, Young Nam Kang   +5 more
wiley   +1 more source

Automatic adaptive radiotherapy triggering based on CBCT using deep learning for esophageal cancer underwent volumetric modulated arc therapy

Journal of Applied Clinical Medical Physics, Volume 27, Issue 6, June 2026.
Abstract Background Esophageal cancer (EC) is a highly fatal malignancy for which radiotherapy plays a critical role in treatment. However, anatomical changes during radiotherapy can lead to increased doses to surrounding organs at risk (OARs). Adaptive radiotherapy (ART) is a strategy that incorporates patient‐specific anatomic changes into treatment ...
Juebin Jin, Jiayi Xu, Yapeng Liu, Kai Shao, Long Zhang, Yangyang Zhang, Ce Han, Huawei Yan, Zhiwei Wang, Li Lin, Congying Xie, Xiance Jin, Yongqiang Zhou   +12 more
wiley   +1 more source

MR-guidance in clinical reality: current treatment challenges and future perspectives

Radiation Oncology, 2019
Magnetic Resonance-guided radiotherapy (MRgRT) marks the beginning of a new era. MR is a versatile and suitable imaging modality for radiotherapy, as it enables direct visualization of the tumor and the surrounding organs at risk.
S. Corradini, F. Alongi, N. Andratschke, C. Belka, L. Boldrini, F. Cellini, J. Debus, M. Guckenberger, J. Hörner-Rieber, F. J. Lagerwaard, R. Mazzola, M. A. Palacios, M. E. P. Philippens, C. P. J. Raaijmakers, C. H. J. Terhaard, V. Valentini, M. Niyazi   +16 more
doaj   +1 more source

Performance evaluation of the binary MLC system on a novel biology‐guided radiotherapy machine using beamlet sequence log data from daily clinical treatments

Journal of Applied Clinical Medical Physics, Volume 27, Issue 6, June 2026.
Abstract Purpose To evaluate the clinical performance of a binary multi‐leaf collimator (MLC) that makes high‐frequency transitions on a novel ring‐gantry medical linac. Methods Beamlet sequence data from treatment plans and daily treatments were retrieved for ten patients treated with image‐guided radiotherapy (IGRT) on the novel machine, with five ...
Chunhui Han, Dave Meer, Blake Gaderlund, An Liu   +3 more
wiley   +1 more source

Evaluating the role of plan complexity metrics in online adaptive radiotherapy for pancreatic cancer patients

Medical Physics, Volume 53, Issue 6, June 2026.
Abstract Purpose To systematically investigate the behavior of plan complexity metrics (PCMs) in an MR‐Linac online adaptive radiotherapy (oART) workflow for pancreatic cancer, and to evaluate their potential as surrogate indicators of delivery accuracy. Methods Thirty‐seven patients with locally advanced pancreatic cancer were retrospectively analyzed,
Samuele Cavinato, Matteo Galetto, Alessandro Scaggion, Andrea Bettinelli, Matteo Nardini, Giuditta Chiloiro, Angela Romano, Marta Paiusco, Luca Boldrini, Lorenzo Placidi   +9 more
wiley   +1 more source

Online adaptive magnetic resonance guided radiotherapy for pancreatic cancer: state of the art, pearls and pitfalls

Radiation Oncology, 2019
Background Different studies have proved in recent years that hypofractionated radiotherapy (RT) improves overall survival of patients affected by locally advanced, unresectable, pancreatic cancer.
Luca Boldrini, Davide Cusumano, Francesco Cellini, Luigi Azario, Gian Carlo Mattiucci, Vincenzo Valentini   +5 more
doaj   +1 more source

Ablative magnetic resonance–guided radiation for gastrointestinal neuroendocrine tumors: assessing local control and toxicity

Clinical and Translational Radiation Oncology
Background: Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are an indolent subset of neuroendocrine neoplasms with a propensity to metastasize.
John S. Peterson, Sarah Goodchild, Samyak Jain, John Michael Bryant, Mintallah Haider, Jonathan Strosberg, Kujtim Latifi, Jessica Frakes, Sarah Hoffe, Russell F. Palm   +9 more
doaj   +1 more source

Deep Learning in MRI-guided Radiation Therapy: A Systematic Review

, 2023
MRI-guided radiation therapy (MRgRT) offers a precise and adaptive approach to treatment planning. Deep learning applications which augment the capabilities of MRgRT are systematically reviewed.
Eidex, Zach, Yang, Xiaofeng, Qiu, Richard L. J., Wang, Tonghe, Ding, Yifu, Abouei, Elham, Liu, Tian, Wang, Jing   +7 more
core