AI Article Synopsis
- A study was conducted to distinguish bone marrow signal abnormalities (BMSA) in patients with Charcot neuroarthropathy (CN) and osteomyelitis (OM) using radiomics methods.
- The research involved analyzing the MRI records of 166 patients, confirming OM histologically in 24 and clinically assessing 17 as CN, while including an additional group of 29 nondiabetic patients.
- Results showed that the accuracy of the Multi-Layer Perceptron (MLP) model was high, with MCC scores of 76.92% for T1 and 84.38% for T2 images, indicating that the radiomics approach can effectively differentiate between CN and OM in diabetic foot cases.
Article Abstract
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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10392653 | PMC |
| http://dx.doi.org/10.1259/bjr.20220758 | DOI Listing |
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