Assessment of body composition and prediction of infectious pancreatic necrosis via non-contrast CT radiomics and deep learning

Diminished localized deposition of VAT and SAT, homogeneity in the VAT and SAT density, augmented SAT volume, and a dispersed and heterogeneous distribution of abdominal muscle density are identified as risk factors for infectious pancreatic necrosis (IPN).

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Publication Details

Journal
Frontiers in Microbiology
Published
2024-12-13
DOI
https://doi.org/10.3389/fmicb.2024.1509915
Citations
2
Primary Topic
Pancreatitis Pathology and Treatment
Type
article
Field-Weighted Citation Impact
1.15
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article

Assessment of body composition and prediction of infectious pancreatic necrosis via non-contrast CT radiomics and deep learning

義典 橘高, Bingyao Huang, Lina Wu
2 citations
Frontiers in Microbiology
Pancreatitis Pathology and Treatment
1.15
article

Assessment of body composition and prediction of infectious pancreatic necrosis via non-contrast CT radiomics and deep learning

義典 橘高, Bingyao Huang, Lina Wu
article en
2 citations

Abstract

Diminished localized deposition of VAT and SAT, homogeneity in the VAT and SAT density, augmented SAT volume, and a dispersed and heterogeneous distribution of abdominal muscle density are identified as risk factors for infectious pancreatic necrosis (IPN).

Frontiers in MicrobiologyVol. 15
China Medical University (CN)
Openalex Percentile: Top 19%
Pancreatitis Pathology and Treatment
1.15
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Assessment of body composition and prediction of infectious pancreatic necrosis via non-contrast CT radiomics and deep learning — 義典 橘高, Bingyao Huang, et al. · Frontiers in Microbiology (2024) | TGRS Research Map | TGRS