Multi-Institutional Verification of a Novel Predictor (Volume-Scaled SUVmax) for Successful Biology-Guided Radiotherapy Delivery of Small Targets

Target size significantly influences BgRT eligibility. We derived a new criterion, Volume(cc) × SUVmax > 11 (95% CI: 9.1-12).

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Publication Details

Journal
Cancers
Published
2025-11-13
DOI
https://doi.org/10.3390/cancers17223645
Citations
1
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
1.88

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article

Multi-Institutional Verification of a Novel Predictor (Volume-Scaled SUVmax) for Successful Biology-Guided Radiotherapy Delivery of Small Targets

Daniel Pham, Tyler Watkins, M. Ramish Ashraf, Billy W. Loo et al.
1 citations
Cancers
Advanced Radiotherapy Techniques
1.88
article

Multi-Institutional Verification of a Novel Predictor (Volume-Scaled SUVmax) for Successful Biology-Guided Radiotherapy Delivery of Small Targets

Daniel Pham, Tyler Watkins, M. Ramish Ashraf, Billy W. Loo, Huixiao Chen, Henry Soo-Min Park, Shahed N. Badiyan, Murat Sürücü, Lucas K. Vitzthum, Bin Cai, Girish Bal
article en
1 citations

Abstract

Target size significantly influences BgRT eligibility. We derived a new criterion, Volume(cc) × SUVmax > 11 (95% CI: 9.1-12).

CancersVol. 17(22)
City Of Hope National Medical Center (US), Yale University (US), RefleXion Medical (United States) (US), The University of Texas Southwestern Medical Center (US), Stanford University (US)
RefleXion Medical
Openalex Percentile: Top 11%
Advanced Radiotherapy Techniques
1.88
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Multi-Institutional Verification of a Novel Predictor (Volume-Scaled SUVmax) for Successful Biology-Guided Radiotherapy Delivery of Small Targets — Daniel Pham, Tyler Watkins, et al. · Cancers (2025) | TGRS Research Map | TGRS