Mid-treatment changes in intra-tumoural metabolic heterogeneity correlate to outcomes in oropharyngeal squamous cell carcinoma patients

Mid-treatment changes in intra-tumoural FDG-PET/CT heterogeneity correlated with treatment outcomes in OPSCC and may help with response prediction. These findings suggest potential utility in designing future risk adaptive clinical trials.

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Publication Details

Journal
EJNMMI Research
Published
2025-04-01
DOI
https://doi.org/10.1186/s13550-025-01226-6
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Mid-treatment changes in intra-tumoural metabolic heterogeneity correlate to outcomes in oropharyngeal squamous cell carcinoma patients

Paul Keall, Michael Jameson, Allan Fowler, Yuvnik Trada et al.
EJNMMI Research
Radiomics and Machine Learning in Medical Imaging
article

Mid-treatment changes in intra-tumoural metabolic heterogeneity correlate to outcomes in oropharyngeal squamous cell carcinoma patients

Paul Keall, Michael Jameson, Allan Fowler, Yuvnik Trada, Mark Lee, Phillip Chlap, Peter Lin, D. Moses
article en

Abstract

Mid-treatment changes in intra-tumoural FDG-PET/CT heterogeneity correlated with treatment outcomes in OPSCC and may help with response prediction. These findings suggest potential utility in designing future risk adaptive clinical trials.

EJNMMI ResearchVol. 15(1)
The University of Sydney (AU), Liverpool Hospital (AU), UNSW Sydney (AU), Australian and New Zealand Intensive Care Society (AU), Prince of Wales Hospital (AU), St Vincent's Clinic (AU), Ingham Institute (AU), Calvary Mater Newcastle Hospital (AU), Western Sydney University (AU)
Good health and well-being
Openalex Percentile: Top 90%
Radiomics and Machine Learning in Medical Imaging
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Mid-treatment changes in intra-tumoural metabolic heterogeneity correlate to outcomes in oropharyngeal squamous cell carcinoma patients — Paul Keall, Michael Jameson, et al. · EJNMMI Research (2025) | TGRS Research Map | TGRS