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. 2020 May 6;15(5):e0232856. doi: 10.1371/journal.pone.0232856

Table 2. Pooled data categorized per BTTS method, including heterogeneity analysis.

BTTS method Number of study subsets Pooled sensitivity (95% CI) Pooled specificity (95% CI) AUC (95% CI) Inconsistency index (I2) Number of lesions Number of malignant lesions Number of benign lesions ADC threshold (10−3 mm2/s) Min-Max (Range) ADC threshold (10−3 mm2/s) Mean (sd)
BTTS 1: 7 0.82 [0.72–0.89] 0.79 [0.65–0.89] 0.88 [0.85–0.90] 93 745 545 200 0.910–1.600 (0.690) 1.155 (0.22)
BTTS 2: 22 0.91 [0.89–0.93] 0.84 [0.80–0.87] 0.94 [0.91–0.96] 0 2139 1381 758 0.870–1.450 (0.580) 1.179 (0.17)
BTTS 3: 19 0.89 [0.86–0.92] 0.90 [0.85–0.93] 0.95 [0.93–0.96] 77 1579 1026 553 0.980–1.480 (0.500) 1.191 (0.14)
BTTS 4: 17 0.90 [0.86–0.93] 0.84 [0.81–0.87] 0.86 [0.82–0.88] 86 1828 1030 798 0.690–1.580 (0.890) 1.122 (0.22)
Total: 65 95 6291 3982 2309 0.690–1.600 (0.910) 1.164 (0.18)

CI = confidence interval, ADC = apparent diffusion coefficient, BTTS = breast tumor tissue selection. BTTS1: whole breast tumor tissue selection, BTTS2: subtracted whole breast tumor tissue selection, BTTS3: circular breast tumor tissue selection and BTTS4: lowest diffusion breast tumor tissue selection.