Prediction of lymphovascular invasion in rectal cancer based on multimodal magnetic resonance imaging radiomics model

doi:10.4240/wjgs.v18.i2.113021

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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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©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.

World J Gastrointest Surg. Feb 27, 2026; 18(2): 113021
Published online Feb 27, 2026. doi: 10.4240/wjgs.v18.i2.113021

Table 4 Performance of different models on training and test sets

Model	Training set			Test set
Model	AUC (95%CI)	Sensitivity	Specificity	AUC (95%CI)	Sensitivity	Specificity
FS-T2WI	0.756 (0.693-0.819)	0.729	0.714	0.742 (0.615-0.869)	0.720	0.710
DWI	0.721 (0.655-0.787)	0.687	0.698	0.708 (0.574-0.842)	0.680	0.677
T1CE	0.789 (0.730-0.848)	0.771	0.730	0.775 (0.654-0.896)	0.760	0.742
Multimodal radiomics	0.847 (0.796-0.898)	0.823	0.794	0.835 (0.732-0.938)	0.840	0.774
Clinical model	0.798 (0.738-0.858)	0.750	0.762	0.782 (0.660-0.904)	0.720	0.774
Combined model	0.883 (0.840-0.926)	0.844	0.825	0.867 (0.778-0.956)	0.840	0.806

AUC: Area under the curve; CI: Confidence interval; FS-T2WI: Fat-suppressed T2-weighted imaging; DWI: Diffusion-weighted imaging; T1CE: T1-weighted contrast-enhanced imaging.

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Citation: Zhu ZH, Liang Y, Shi M. Prediction of lymphovascular invasion in rectal cancer based on multimodal magnetic resonance imaging radiomics model. World J Gastrointest Surg 2026; 18(2): 113021
URL: https://www.wjgnet.com/1948-9366/full/v18/i2/113021.htm
DOI: https://dx.doi.org/10.4240/wjgs.v18.i2.113021

Zhu ZH, Liang Y, Shi M. Prediction of lymphovascular invasion in rectal cancer based on multimodal magnetic resonance imaging radiomics model. World J Gastrointest Surg 2026; 18(2): 113021 [PMID: 41809348 DOI: 10.4240/wjgs.v18.i2.113021]

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