Development and Validation of an <sup>18</sup> F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal Cancer

The Imaging Score, integrating <sup>18</sup>F-FDG PET-CT imaging with clinical parameters, is an effective prognostic tool for patients with chemorefractory mCRC. This combination of imaging biomarkers with clinical factors improves discrimination, enhancing its potential for clinical decision making, patient stratification for chemorefractory treatments, and trial eligibility.

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Publication Details

Journal
JCO Clinical Cancer Informatics
Published
2025-05-01
DOI
https://doi.org/10.1200/cci-24-00207
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
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article

Development and Validation of an 18 F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal Cancer

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1 citations
JCO Clinical Cancer Informatics
Radiomics and Machine Learning in Medical Imaging
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article

Development and Validation of an 18 F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal Cancer

Thomas Guiot, Rita Saúde-Conde, N. Reynaert, Alain Hendlisz, Hugo Levillain, Zelda Paquier, Gabriela Critchi, Patrick Flamen, Francesco Sclafani, Erwin Woff, Jennifer Dhont
article en
1 citations

Abstract

The Imaging Score, integrating <sup>18</sup>F-FDG PET-CT imaging with clinical parameters, is an effective prognostic tool for patients with chemorefractory mCRC. This combination of imaging biomarkers with clinical factors improves discrimination, enhancing its potential for clinical decision making, patient stratification for chemorefractory treatments, and trial eligibility.

JCO Clinical Cancer InformaticsVol. 9(9)
Université Libre de Bruxelles (BE), Institut Jules Bordet (BE)
Openalex Percentile: Top 21%
Radiomics and Machine Learning in Medical Imaging
1.36
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