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. 2023 Mar 28;18:255. doi: 10.1186/s13018-023-03718-4

Table 2.

Performance of machine learning model and two experienced musculoskeletal (MSK) radiologists in distinguishing IM lipomas from atypical lipomatous tumors or well-differentiated liposarcomas

AUC (95% CI) Sensitivity (95% CI) Specificity (95% CI) Accuracy (95% CI) P value*
Machine learning model 0.88 (0.72–1) 91.6 (62.0–100) 85.7 (42.0–100) 89.0 (67.0–98.6)
MSK radiologist 1 0.94 (0.87–1) 97.4 (86.0–100) 90.9 (71.0–99.0) 95.0 (86.1–98.9) 0.4
MSK radiologist 2 0.91 (0.83–0.99) 100 (91.0–100) 81.8 (60.0–95.0) 93.3 (83.8–98.1) 0.7

AUC The area under the receiver operator characteristic curve, CI Confidence interval

*P value based on the Delong’s test, which were used to compare the AUCs between the machine learning model and radiologists