基于深度学习的计算机辅助诊断系统在诊断肋骨骨折方面的应用价值

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Abstract Objective To explore the application value of deep learning-based computer-aided diagnosis system(DL-CAD) in assisting radiologists to diagnose rib fractures.Methods A total of 330 patients with 7920 ribs who underwent chest CT examination due to acute chest trauma in Daxing Teaching Hospital of Capital Medical University from January 2022 to December 2022 were selected. Two rounds of image reading (traditional manual mode and DL-CAD assisted mode) were performed by junior and senior radiologists respectively. The differences in sensitivity, specificity, AUC value, reading time, and diagnostic confidence were statistically analyzed.Results A total of 975 fractures were confirmed, including 450 non-displaced fractures and 525 displaced fractures. There were statistically significant differences in sensitivity, reading time, diagnostic confidence, and AUC value between the two modes (P<0.05), but no statistically significant difference in specificity (P>0.05). There were statistical differences in sensitivity and AUC in the diagnosis of displaced fractures and non-displaced fractures between the two modes of reading (P<0.05), and no statistically different in specificity (P>0.05). The sensitivity and AUC value in the diagnosis of non-displaced fractures were significantly improved in DL-CAD assisted mode (39.33% vs. 76.22%; 0.658 vs. 0.844; 41.67% vs. 77.33%; 0.671 vs. 0.61).Conclusions DL-CAD can help radiologists improve the efficiency of the diagnosis of rib fractures, shorten the reading time, and enhance the diagnostic confidence, which is conducive to the development of clinical work. DL_CAD-assisted diagnosis results in similar diagnostic performance between junior and senior radiologists.

Key words： rib fracture deep learning computed tomography computer-aided diagnosis

Received: 27 February 2023

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	Articles by authors
	ZHANG Bin
	CHENG Yue
	DU Jingbo
	CHEN Tianjin
	LIAO Jianyong

Cite this article:

ZHANG Bin,CHENG Yue,DU Jingbo等. Application value of deep learning-based computer-aided diagnosis system in diagnosing rib fractures[J]. Med. J. Chin. Peop. Armed Poli. Forc., 2023, 34(8): 656-659.

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http://journal08.magtechjournal.com/Jwk_wjyx/EN/ OR http://journal08.magtechjournal.com/Jwk_wjyx/EN/Y2023/V34/I8/656

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