Magnetic resonance imaging-based radiomics signature for predicting preoperative staging of esophageal cancer

doi:10.4329/wjr.v17.i8.110307

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Aug 28, 2025 (publication date) through Aug 31, 2025

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World Journal of Radiology

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1949-8470

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

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World J Radiol. Aug 28, 2025; 17(8): 110307
Published online Aug 28, 2025. doi: 10.4329/wjr.v17.i8.110307

Table 4 Model performance for predicting tumor node metastasis stages in esophageal cancer patients

Model	Primary cohort			Validation cohorts
Model	AUC (95%CI)	SEN (95%CI)	SPE (95%CI)	AUC (95%CI)	SEN (95%CI)	SPE (95%CI)
T2WI	0.788 (0.712, 0.858)	0.75 (0.642, 0.834)	0.746 (0.634, 0.833)	0.779 (0.651, 0.892)	0.667 (0.496, 0.803)	0.8 (0.627, 0.905)
T1WI	0.859 (0.799, 0.919)	0.829 (0.729, 0.897)	0.789 (0.681, 0.868)	0.844 (0.728, 0.941)	0.636 (0.466, 0.778)	0.8 (0.627, 0.905)
Combined	0.877 (0.819, 0.929)	0.842 (0.744, 0.907)	0.761 (0.65, 0.845)	0.851 (0.739, 0.948)	0.697 (0.527, 0.826)	0.8 (0.627, 0.905)

95%CI: 95% confidence interval; T1WI: T1-weighted imaging; T2WI: T2-weighted imaging; AUC: Area under the curve; SEN: Sensitivity; SPE: Specificity.

Citation: Yang RH, Lin ZP, Dong T, Fan WX, Qin HD, Jiang GH, Dai HY. Magnetic resonance imaging-based radiomics signature for predicting preoperative staging of esophageal cancer. World J Radiol 2025; 17(8): 110307
URL: https://www.wjgnet.com/1949-8470/full/v17/i8/110307.htm
DOI: https://dx.doi.org/10.4329/wjr.v17.i8.110307