A DWI histogram-based nomogram for preoperative prediction of pathogens and antibiotic resistance in perianal abscesses.

ABSTRACT:

Purpose

To develop nomograms based on diffusion-weighted imaging (DWI) histogram parameters and clinical features to preoperatively predict pathogen type and extended-spectrum β-lactamase (ESBL) infection in perianal abscesses.

Methods

We retrospectively analyzed 157 surgically confirmed patients, stratified by pathogen type (Escherichia coli, n = 110; Klebsiella pneumoniae, n = 47) and ESBL test results (ESBL-negative, n = 91; ESBL-positive, n = 30). Ninety-seven apparent diffusion coefficient (ADC) histogram parameters were extracted. Histogram features selected using least absolute shrinkage and selection operator (LASSO) regression, together with clinical variables identified by univariate logistic regression, were incorporated into multivariate logistic regression model

SUBMITTER: Wang J 

PROVIDER: S-EPMC12920718 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature