Development and validation of a radiomics-based model for early prediction of delayed radiological recovery from Mycoplasma pneumoniae pneumonia: a multicenter study

The MPP delayed recovery prediction model, based on 16 radiomics features, D-dimer, SII, and a consolidation pattern, showed excellent predictive performance. It can be used by clinicians as an effective tool for early identification and intervention.

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Publication Details

Journal
BMC Medical Imaging
Published
2025-07-05
DOI
https://doi.org/10.1186/s12880-025-01819-6
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
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article

Development and validation of a radiomics-based model for early prediction of delayed radiological recovery from Mycoplasma pneumoniae pneumonia: a multicenter study

Tianda Wang, Jiawei Hao, Jian Zhang, Liyong Zhuo et al.
1 citations
BMC Medical Imaging
Radiomics and Machine Learning in Medical Imaging
1.36
article

Development and validation of a radiomics-based model for early prediction of delayed radiological recovery from Mycoplasma pneumoniae pneumonia: a multicenter study

Tianda Wang, Jiawei Hao, Jian Zhang, Liyong Zhuo, Huan Meng, Zijun Song
article en
1 citations

Abstract

The MPP delayed recovery prediction model, based on 16 radiomics features, D-dimer, SII, and a consolidation pattern, showed excellent predictive performance. It can be used by clinicians as an effective tool for early identification and intervention.

BMC Medical ImagingVol. 25(1)
Affiliated Hospital of Hebei University (CN), Baoding People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 18%
Radiomics and Machine Learning in Medical Imaging
1.36
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