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August 18, 2025

Development of a Radiomics-based Model Using Computed Tomography Imaging to Assess the Incidence of Extrapulmonary Organ Involvement in Mycoplasma Pneumoniae Pneumonia and to Predict Recovery Times: A Multicenter Study

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Authors

JHJia-wei HaoLZLi-Yong ZhuoSGShan Gao

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Overview

Multicenter study demonstrates a radiomics model predicts recovery duration and organ involvement in MPP patients, suggesting enhanced diagnostic accuracy.

Key Points

  • The integrated model achieved the highest predictive performance with an AUC of 0.94, indicating it's superior to other evaluated models.
  • Extrapulmonary organ involvement was effectively assessed using a radiomics model, which improved prediction over clinical and image-based methods.
  • Model evaluation metrics included AUC for organ assessment and MSE for recovery prediction, showing acceptable performance levels.
  • Incorporating radiomics into the model significantly enhances the accuracy of predicting recovery durations and organ involvement in MPP children.

Cite This Study

Hao et al. (2025) studied this question.

synapsesocial.com/papers/68af2ef0cf1dd9ea359e6ee8https://doi.org/10.21203/rs.3.rs-7191841/v1
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