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Dataset Information

Development and validation of a clinical-radiomics nomogram for the early prediction of Klebsiella pneumoniae liver abscess.


ABSTRACT:

Background and aim

Pyogenic liver abscess (PLA) is a devastating and potentially life-threatening disease globally, with Klebsiella pneumoniae liver abscess (KPLA) being the most prevalent in Asia. This study aims to develop an effective and comprehensive nomogram combining clinical and radiomics features for early prediction of KPLA.

Methods

255 patients with PLA from 2013 to 2023 were enrolled and randomly divided into the training and validation cohorts at a 7:3 ratio. The differences between the two cohorts of patients were assessed via univariate analysis. The radiomics features were extracted from imaging data from enhanced CT of liver abscesses. The optimal radiomics features were filtered using the independent sample t-test and least absolute shrinkage and sel

SUBMITTER: Gu L 

PROVIDER: S-EPMC11485847 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature