Preoperative prediction of hepatocellular carcinoma microvascular invasion based on magnetic resonance imaging feature extraction artificial neural network

doi:10.4240/wjgs.v16.i8.2546

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Aug 27, 2024 (publication date) through Nov 4, 2024

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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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World J Gastrointest Surg. Aug 27, 2024; 16(8): 2546-2554
Published online Aug 27, 2024. doi: 10.4240/wjgs.v16.i8.2546

Table 2 Correlation analysis between related features and microvascular invasion

Variables	Mean	P value
Male, n (%)	198 (77.6)	0.001^a
Age	52	0.619
AFP values	194	0.606
AFP grades, n (%)	112 (43.9)	0.495
Original_shape_MeshVolume	6819.940 (mm³)	0.104
Original_shape_Sphericity	0.734	0.008
Original_shape_MajorAxisLength	25.33151 (mm)	0.113

^aP < 0.001.

AFP: Alpha-fetoprotein.

Citation: Xu JY, Yang YF, Huang ZY, Qian XY, Meng FH. Preoperative prediction of hepatocellular carcinoma microvascular invasion based on magnetic resonance imaging feature extraction artificial neural network. World J Gastrointest Surg 2024; 16(8): 2546-2554
URL: https://www.wjgnet.com/1948-9366/full/v16/i8/2546.htm
DOI: https://dx.doi.org/10.4240/wjgs.v16.i8.2546