Development and validation of a clinical-radiomics nomogram for differentiating Mycoplasma pneumoniae pneumonia from bacterial pneumonia in children - Takeaways - MDSpire

Development and validation of a clinical-radiomics nomogram for differentiating Mycoplasma pneumoniae pneumonia from bacterial pneumonia in children

  • By

  • Yan Guan

  • Xueqin Wang

  • Chen Song

  • Lulin Bi

  • Guang Yang

  • Shuai Quan

  • Shuming Xu

  • July 8, 2026

  • 0 min

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  • 1

    A nomogram was developed to differentiate Mycoplasma pneumoniae pneumonia from bacterial pneumonia in pediatric patients using clinical and CT data.

  • 2

    The study analyzed data from 585 pediatric pneumonia patients, with 249 diagnosed with Mycoplasma pneumoniae pneumonia and 336 with bacterial pneumonia.

  • 3

    The combined nomogram model achieved the highest accuracy with AUCs of 0.971 in the training set and 0.958 in the validation set.

  • 4

    The clinical model's AUCs were 0.913 and 0.909, while the radiomics model reached AUCs of 0.918 and 0.895 in respective sets.

  • 5

    Calibration curves confirmed the accuracy of the nomogram, and decision curve analysis indicated significant net clinical benefit.

Original Source(s)

Development and validation of a clinical-radiomics nomogram for differentiating Mycoplasma pneumoniae pneumonia from bacterial pneumonia in children

  • by Yan Guan, Xueqin Wang, Chen Song, Lulin Bi, Guang Yang, Shuai Quan, Shuming Xu

  • July 8, 2026

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