Machine learning and radiomics for differentiating severe from moderately severe acute necrotizing pancreatitis on contrast-enhanced computed tomography

doi:10.4240/wjgs.v18.i5.115903

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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

Retrospective Cohort Study

Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Gastrointest Surg. May 27, 2026; 18(5): 115903
Published online May 27, 2026. doi: 10.4240/wjgs.v18.i5.115903

Table 3 Characteristics of moderately severe and severe acute necrotizing pancreatitis patients in the test cohort, n (%)/mean ± SD/median (interquartile rage)

Characteristics		MSAP (n = 76)	SAP (n = 52)	Z/χ²/t/Fisher’s exact test	P value
Age (years)		44.39 ± 11.15	50.30 ± 17.46	-1.367	0.182
Gender	Male	24 (66.67)	12 (60.00)	0.249	0.618
Gender	Female	12 (33.33)	8 (40.00)	0.249	0.618
Alcohol consumption history	No	17 (47.22)	13 (65.00)	1.634	0.201
Alcohol consumption history	Yes	19 (52.78)	7 (35.00)	1.634	0.201
WBC (× 10⁹/L)		13.38 ± 4.22	16.46 ± 4.60	-2.535	0.014^a
Serum amylase (× 10 U/L)		12.85 (6.98-36.53)	47.00 (19.83-126.78)	-2.539	0.011^a
Serum lipase (× 10 U/L)		20.80 (9.93-82.75)	50.10 (23.65-145.43)	-1.351	0.177
MCTSI score		8.00 (8.00-8.00)	9.00(8.00-10.00)	-2.492	0.013^a
Pancreatic necrosis types	Only pancreatic parenchymal necrosis type	6 (16.67)	1 (5.00)	1.820	0.475
	Mixed type	29 (80.55)	18 (90.00)
	Only peripancreatic necrosis type	1 (2.78)	1 (5.00)

^aP < 0.05.

WBC: White blood cell; MCTSI: Modified Computed Tomography Severity Index; MSAP: Moderately severe acute pancreatitis; SAP: Severe acute pancreatitis.

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Citation: Feng Y, Hu XH, Xiao B. Machine learning and radiomics for differentiating severe from moderately severe acute necrotizing pancreatitis on contrast-enhanced computed tomography. World J Gastrointest Surg 2026; 18(5): 115903
URL: https://www.wjgnet.com/1948-9366/full/v18/i5/115903.htm
DOI: https://dx.doi.org/10.4240/wjgs.v18.i5.115903

Feng Y, Hu XH, Xiao B. Machine learning and radiomics for differentiating severe from moderately severe acute necrotizing pancreatitis on contrast-enhanced computed tomography. World J Gastrointest Surg 2026; 18(5): 115903 [DOI: 10.4240/wjgs.v18.i5.115903]

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