Multiparametric magnetic resonance imaging-based predictive model for chemotherapy response in colorectal cancer patients with gene mutations

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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): 111971
Published online Oct 15, 2025. doi: 10.4251/wjgo.v17.i10.111971

Table 2 Multivariate Logistics regression analysis of risk factors affecting efficacy of chemotherapy

Risk factor	Β value	SE value	Ward value	OR value	95%CI	P value	Tolerance	VIF
Degree of tumor differentiation	0.785	0.348	5.092	2.193	1.109-4.338	< 0.001	0.954	1.021
T2 signal strength grading	0.126	0.064	3.861	1.134	1.000-1.286	< 0.001	0.971	1.012
Distance between lower edge of tumor and anus	0.748	0.264	8.020	2.112	1.259-3.543	< 0.001	0.967	1.031
MRI-detected lymph node metastasis	0.449	0.211	4.532	1.567	1.036-2.370	< 0.001	0.975	1.027

VIF: Variance inflation factor; MRI: Magnetic resonance imaging.

Citation: Kang WY, Deng WM, Ye XQ, Zhong YH, Li XJ, Feng LL, Luo DH. Multiparametric magnetic resonance imaging-based predictive model for chemotherapy response in colorectal cancer patients with gene mutations. World J Gastrointest Oncol 2025; 17(10): 111971
URL: https://www.wjgnet.com/1948-5204/full/v17/i10/111971.htm
DOI: https://dx.doi.org/10.4251/wjgo.v17.i10.111971

Kang WY, Deng WM, Ye XQ, Zhong YH, Li XJ, Feng LL, Luo DH. Multiparametric magnetic resonance imaging-based predictive model for chemotherapy response in colorectal cancer patients with gene mutations. World J Gastrointest Oncol 2025; 17(10): 111971 [PMID: 41114093 DOI: 10.4251/wjgo.v17.i10.111971]

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