Fluoro-2-deoxy-d-glucose PET radiomic analysis predicts outcome in patients with soft tissue sarcoma

Multiple PET radiomic features demonstrated significant prognostic utility independent of standard clinical features and predicted survival outcomes in STS. Larger prospective multicentre cohorts are required to verify our findings and enable integration into clinical decision aids and precision medicine in STS.

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Publication Details

Journal
Nuclear Medicine Communications
Published
2025-11-28
DOI
https://doi.org/10.1097/mnm.0000000000002074
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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0.00
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article

Fluoro-2-deoxy-d-glucose PET radiomic analysis predicts outcome in patients with soft tissue sarcoma

Ivan Ho Shon, Alex Noh, Christopher Lehane, Yeh Chen Lee et al.
Nuclear Medicine Communications
Radiomics and Machine Learning in Medical Imaging
article

Fluoro-2-deoxy-d-glucose PET radiomic analysis predicts outcome in patients with soft tissue sarcoma

Ivan Ho Shon, Alex Noh, Christopher Lehane, Yeh Chen Lee, Andrew Parasyn, Stephen R. Thompson, Philip Crowe
article en

Abstract

Multiple PET radiomic features demonstrated significant prognostic utility independent of standard clinical features and predicted survival outcomes in STS. Larger prospective multicentre cohorts are required to verify our findings and enable integration into clinical decision aids and precision medicine in STS.

Nuclear Medicine CommunicationsVol. 47(2)
Prince of Wales Hospital (AU), Sydney Children's Hospital (AU)
Openalex Percentile: Top 48%
Radiomics and Machine Learning in Medical Imaging
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Fluoro-2-deoxy-d-glucose PET radiomic analysis predicts outcome in patients with soft tissue sarcoma — Ivan Ho Shon, Alex Noh, et al. · Nuclear Medicine Communications (2025) | TGRS Research Map | TGRS