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. 2022 Apr 5;14(1):11–24. doi: 10.1177/21925682221089579

Figure 6.

Figure 6.

Sensitivity analysis showing the impact of alternative CT/MRI criteria for PLC injury on the rate of fracture reclassification after MRI. TP, true positive; TN, True negative; FP, False positive; and FN, False negative. The default analysis (A) determines the correct accuracy of CT in fracture classification against MRI as a gold standard using the proposed criteria in this study: ≥ 2 CT findings and black stripe discontinuity. CT was accurate in fracture classification in 90% using these criteria, leading to a change in fracture classification by MRI in 10%. The secondary analysis (B &C) describes how accurate CT is in fracture classification if we used an alternative CT criterion as any positive CT findings instead of ≥2 CT findings (B, the CT’s accuracy dropped to 68%, and MRI changed classification by 32%) or MRI criterion as high signal intensity (C, the CT’s accuracy dropped to 79%, and MRI changed classification by 21%).