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 2 Radiomics feature selection results

Selection step	FS-T2WI	DWI	T1CE	Total
Initial features	1425	1385	1390	4200
After ICC screening (> 0.75)	1182	1143	1198	3523
After variance screening	1094	1048	1129	3271
After correlation screening (\|r\| < 0.9)	674	638	691	2003
After univariate screening (P < 0.05)	121	94	135	350
After LASSO screening	8	6	9	23

FS-T2WI: Fat-suppressed T2-weighted imaging; DWI: Diffusion-weighted imaging; T1CE: T1-weighted contrast-enhanced imaging; ICC: Intraclass correlation coefficient; LASSO: Least absolute shrinkage and selection operator.

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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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