Development of a radiomics-based model using computed tomography imaging to assess the incidence of extrapulmonary organ involvement in <i>Mycoplasma pneumoniae</i> pneumonia and to predict recovery times: a multicenter study.

ABSTRACT:

Objectives

This study aimed to develop a predictive model, based on radiomics, to assess the occurrence of extrapulmonary organ involvement and predict recovery durations in children with Mycoplasma pneumoniae pneumonia (MPP).

Materials and methods

We retrospectively included 556 confirmed MPP patients from three medical centers between October 2022 and December 2024. Feature parameters were selected and weighted using Z-score normalization and LASSO. A logistic regression model was constructed to assess extrapulmonary organ involvement. Model performance was evaluated using the area under the curve (AUC), calibration curves, and decision curves, with comparisons between models conducted using the DeLong test. For predicting recovery duration, a separate model was dev

SUBMITTER: Hao J 

PROVIDER: S-EPMC12851944 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature