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期刊名:Physics & imaging in radiation oncology

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ISSN:N/A

e-ISSN:2405-6316

IF/分区:3.2/Q2

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共收录本刊相关文章索引976
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Sadegh Alam,Maria Thor,Andreas Rimner et al. Sadegh Alam et al.
Background and purpose: Minimizing acute esophagitis (AE) in locally advanced non-small cell lung cancer (LA-NSCLC) is critical given the proximity between the esophagus and the tumor. In this pilot study, we developed a ...
Sharif Elguindi,Michael J Zelefsky,Jue Jiang et al. Sharif Elguindi et al.
Background and purpose: Magnetic resonance (MR) only radiation therapy for prostate treatment provides superior contrast for defining targets and organs-at-risk (OARs). This study aims to develop a deep learning model to ...
Yi Lao,John David,Arman Torosian et al. Yi Lao et al.
Background and purpose: Adaptive radiation planning for pancreatic adenocarcinoma (PA) relies on accurate treatment response assessment, while traditional response evaluation criteria inefficiently characterize tumors wit...
Stephen F Kry,Christine B Peterson,Rebecca M Howell et al. Stephen F Kry et al.
Background and purpose: Remote beam output audits, which independently measure an institution's machine calibration, are a common component of independent radiotherapy peer review. This work reviews the results and trends...
Maria Thor,Neelam Tyagi,Vaios Hatzoglou et al. Maria Thor et al.
Background and purpose: In this study we investigated the ability of textures from T1-weighted MRI scans post-contrast (T1wpost) to identify the critical muscle(s) for radiation-induced trismus. ...
Background and purpose: Diffusion tensor imaging (DTI) has been proposed to guide the anisotropic expansion from gross tumor volume to clinical target volume (CTV), aiming to integrate known tumor spread patterns into the...