基于影像组学的方法鉴别诊断糖尿病足骨髓炎与夏科氏关节病。
Radiomics method in the differential diagnosis of diabetic foot osteomyelitis and charcot neuroarthropathy.
机构信息
Department of Radiology, Health Science University, Gulhane Training, and Research Hospital, Ankara, Turkey.
Department of Electrical and Electronics Engineering, Engineering Faculty, Istanbul Topkapi University, Istanbul, Turkey.
出版信息
Br J Radiol. 2023 Aug;96(1148):20220758. doi: 10.1259/bjr.20220758. Epub 2023 May 12.
OBJECTIVES
Our study used a radiomics method to differentiate bone marrow signal abnormality (BMSA) between Charcot neuroarthropathy (CN) and osteomyelitis (OM).
METHODS AND MATERIALS
The records of 166 patients with diabetic foot suspected CN or OM between January 2020 and March 2022 were retrospectively examined. A total of 41 patients with BMSA on MRI were included in this study. The diagnosis of OM was confirmed histologically in 24 of 41 patients. We clinically followed 17 patients as CN with laboratory tests. We also included 29 nondiabetic patients with traumatic (TR) BMSA on MRI as the third group. Contours of all BMSA on - and -weighted images in three patient groups were segmented semi-automatically on ManSeg (v.2.7d). The T1 and T2 features of three groups in radiomics were statistically evaluated. We applied the multi-class classification (MCC) and binary-class classification (BCC) methodologies to compare results.
RESULTS
For MCC, the accuracy of Multi-Layer Perceptron (MLP) was 76.92% and 84.38% for T1 and T2, respectively. According to BCC, for CN, OM, and TR BMSA, the sensitivity of MLP is 74%, 89.23%, and 76.19% for T1, and 90.57%, 85.92%, 86.81% for T2, respectively. For CN, OM, and TR BMSA, the specificity of MLP is 89.16%, 87.57%, and 90.72% for T1 and 93.55%, 89.94%, and 90.48% for T2 images, respectively.
CONCLUSION
In diabetic foot, the radiomics method can differentiate the BMSA of CN and OM with high accuracy.
ADVANCES IN KNOWLEDGE
The radiomics method can differentiate the BMSA of CN and OM with high accuracy.
目的
本研究采用放射组学方法区分夏科氏神经关节病（CN）和骨髓炎（OM）的骨髓信号异常（BMSA）。
方法和材料
回顾性分析 2020 年 1 月至 2022 年 3 月间 166 例糖尿病足疑似 CN 或 OM 的患者记录。本研究共纳入 41 例 MRI 显示 BMSA 的患者。其中 24 例 OM 经组织学证实。我们临床随访了 17 例实验室检查证实的 CN 患者。我们还纳入了 29 例非糖尿病外伤性（TR）BMSA 患者作为第三组。在 ManSeg（v.2.7d）上对三组患者的矢状位和 T2 加权图像上的所有 BMSA 进行半自动勾画。对三组的 T1 和 T2 特征进行放射组学统计评估。我们应用多类分类（MCC）和二类分类（BCC）方法进行比较。
结果
对于 MCC，多层感知器（MLP）的准确率分别为 T1 为 76.92%，T2 为 84.38%。根据 BCC，对于 CN、OM 和 TR BMSA，MLP 的灵敏度分别为 T1 74%、89.23%和 76.19%，T2 90.57%、85.92%和 86.81%。对于 CN、OM 和 TR BMSA，MLP 的特异性分别为 T1 89.16%、87.57%和 90.72%，T2 93.55%、89.94%和 90.48%。
结论
在糖尿病足中，放射组学方法可以准确区分 CN 和 OM 的 BMSA。
知识进展
放射组学方法可以准确区分 CN 和 OM 的 BMSA。
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