Computed tomography derived morphomics in the prediction of long-term outcomes in acute pancreatitis

doi:10.4329/wjr.118613

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World Journal of Radiology

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1949-8470

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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 Radiol. Jul 28, 2026; 18(7): 118613
Published online Jul 28, 2026. doi: 10.4329/wjr.118613

Table 5 Multivariate logistic regression in predicting death and recurrence

Variable	Death (30-day)		Recurrence
Variable	Estimate¹	P value	Estimate¹	P value
Wall muscle density (HU)	-0.44137	0.019	-0.08008	0.283
Psoas muscle density (HU)	0.00581	0.957	0.11924	0.134
Subcutaneous fat area (cm²)	-0.06031	0.018	-0.00642	0.119
Age (years)	-0.10983	0.096	-0.01033	0.635
Sex (male-female)	2.23529	0.310	1.35976	0.149
Pancreatitis subtype (NP-AIOP)	0.44864	0.814	1.03349	0.184
mGIS score (0-7)	0.53263	0.447	-0.39655	0.230

¹The estimate represents the log odds of death vs survival and recurrence vs no recurrence.

AIOP: Acute interstitial oedematous pancreatitis; HU: Hounsfield units; mGIS: Modified Glasgow Imrie severity; NP: Necrotising pancreatitis.

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Citation: Shet S, O’Shea OC, De Kock LGA, Kakish E, Lee RJ, Ni Chleirigh N, O’Broin E, Ryan DJ, Maher MM. Computed tomography derived morphomics in the prediction of long-term outcomes in acute pancreatitis. World J Radiol 2026; 18(7): 118613
URL: https://www.wjgnet.com/1949-8470/full/v18/i7/118613.htm
DOI: https://dx.doi.org/10.4329/wjr.118613

Shet S, O’Shea OC, De Kock LGA, Kakish E, Lee RJ, Ni Chleirigh N, O’Broin E, Ryan DJ, Maher MM. Computed tomography derived morphomics in the prediction of long-term outcomes in acute pancreatitis. World J Radiol 2026; 18(7): 118613 [PMID: 42534368 DOI: 10.4329/wjr.118613]

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