Ultrasound‐based radiomics in the diagnosis of carpal tunnel syndrome: The influence of regions of interest delineation method on mode

Autor: Shuyi Lyu, Yan Zhang, Meiwu Zhang, Maoqing Jiang, Jianjun Yu, Jiazhen Zhu, Baisong Zhang
Rok vydání: 2022
Předmět:
Zdroj: Journal of Clinical Ultrasound. 51:498-506
ISSN: 1097-0096
0091-2751
DOI: 10.1002/jcu.23387
Popis: In the recent years, artificial intelligence (AI) algorithms have been used to accurately diagnose musculoskeletal diseases. However, it is not known whether the particular regions of interest (ROI) delineation method would affect the performance of the AI algorithm.The purpose of this study was to investigate the influence of ROI delineation methods on model performance and observer consistency.In this retrospective analysis, ultrasound (US) measures of median nerves affected with carpal tunnel syndrome (CTS) were compared to median nerves in a control group without CTS. Two methods were used for delineation of the ROI: (1) the ROI along the hyperechoic medial edge of the median nerve but not including the epineurium (MN) (ROI1); and (2) the ROI including the hyperechoic epineurium (ROI2), respectively. The intra group correlation coefficient (ICC) was used to compare the observer consistency of ROI features (i.e. the corresponding radiomics parameters). Parameters αA total of 136 wrists of 77 CTS group and 136 wrists of 74 control group were included in the study. Control group was matched to CTS group according to the age and sex. The observer consistency of ROI features delineated by the two schemes was different, and the consistency of ROIDifferent ROI delineation methods may affect the performance of the model and the consistency of observers. Model performance was better when the ROI contained the MN epineurium, and observer consistency was higher when the ROI was delineated along the hyperechoic medial border of the MN.
Databáze: OpenAIRE
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