Machine learning-based radiomics score improves prognostic prediction accuracy of stage II/III gastric cancer: A multi-cohort study

doi:10.4240/wjgs.v16.i2.345

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Feb 27, 2024 (publication date) through May 19, 2024

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World Journal of Gastrointestinal Surgery

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1948-9366

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastrointest Surg. Feb 27, 2024; 16(2): 345-356
Published online Feb 27, 2024. doi: 10.4240/wjgs.v16.i2.345

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Figure 4 Overall survival-associated computed tomography image radiomics score as a biomarker for overall survival. A and B: Survival curves of stage II/III patients in the discovery and the Cancer Imaging Archive (TCIA) cohorts; C: Calculating the optimal cut-off value of the overall survival-associated computed tomography image radiomics score (OACRS); D and E: Survival curves of patients with low and high OACRS in the discovery and TCIA cohorts. TCIA: The Cancer Imaging Archive; OS: Overall survival; OACRS: Overall survival-associated computed tomography image radiomics score.

Citation: Xiang YH, Mou H, Qu B, Sun HR. Machine learning-based radiomics score improves prognostic prediction accuracy of stage II/III gastric cancer: A multi-cohort study. World J Gastrointest Surg 2024; 16(2): 345-356
URL: https://www.wjgnet.com/1948-9366/full/v16/i2/345.htm
DOI: https://dx.doi.org/10.4240/wjgs.v16.i2.345