Predicting esophageal cancer response to neoadjuvant therapy with magnetic resonance imaging radiomics

doi:10.4251/wjgo.v17.i10.110671

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World Journal of Gastrointestinal Oncology

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1948-5204

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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 Oncol. Oct 15, 2025; 17(10): 110671
Published online Oct 15, 2025. doi: 10.4251/wjgo.v17.i10.110671

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Figure 4 Decision curve analysis demonstrating clinical utility across probability thresholds in the validation cohort. The Y-axis indicates net benefit standardized by patient population. The blue curve corresponds to the radiomics model, the black solid curve represents the all-patients-treated scenario, and the black dashed line indicates the no-patients-treated scenario. DCA: Decision curve analysis.

Citation: Yang RH, Fan WX, Zhong Y, Lin ZP, Chen JP, Jiang GH, Dai HY. Predicting esophageal cancer response to neoadjuvant therapy with magnetic resonance imaging radiomics. World J Gastrointest Oncol 2025; 17(10): 110671
URL: https://www.wjgnet.com/1948-5204/full/v17/i10/110671.htm
DOI: https://dx.doi.org/10.4251/wjgo.v17.i10.110671

Yang RH, Fan WX, Zhong Y, Lin ZP, Chen JP, Jiang GH, Dai HY. Predicting esophageal cancer response to neoadjuvant therapy with magnetic resonance imaging radiomics. World J Gastrointest Oncol 2025; 17(10): 110671 [PMID: 41114118 DOI: 10.4251/wjgo.v17.i10.110671]

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