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

This study demonstrated that incorporating radiomics significantly improved the predictive accuracy of clinical laboratory parameters and imaging features for assessing extrapulmonary organ involvement and forecasting recovery durations in MPP patients. This approach provided an effective tool to enhance diagnostic efficiency for clinicians.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-01-15
DOI
https://doi.org/10.3389/fmed.2025.1732165
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

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

Huan Xin Meng, Jiawei Hao, Shan Gao, Liyong Zhuo et al.
Frontiers in Medicine
Radiomics and Machine Learning in Medical Imaging
article

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

Huan Xin Meng, Jiawei Hao, Shan Gao, Liyong Zhuo, Zijun Song, Xiaoping Yin
article en

Abstract

This study demonstrated that incorporating radiomics significantly improved the predictive accuracy of clinical laboratory parameters and imaging features for assessing extrapulmonary organ involvement and forecasting recovery durations in MPP patients. This approach provided an effective tool to enhance diagnostic efficiency for clinicians.

Frontiers in MedicineVol. 12
Ministry of Science and Technology (VN), Affiliated Hospital of Hebei University (CN), Baoding People's Hospital (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 89%
Radiomics and Machine Learning in Medical Imaging
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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 — Huan Xin Meng, Jiawei Hao, et al. · Frontiers in Medicine (2026) | TGRS Research Map | TGRS