7.4 mm) had 81% sensitivity and 97% specificity for prediction of post-menstrual spotting with overall accuracy was 88.7%. While scar width (> 12.8 mm) had 71% sensitivity and 97% specificity for prediction of post-menstrual spotting with overall accuracy was 83.3%. Scar volume (> 0.15 cm3) had 97% sensitivity and 100% specificity for prediction of post-menstrual spotting with overall accuracy was 98.4%. Conclusion MRI measures (CS scar volume, depth, and width) are predictors for postmenstrual spotting in patients with CS scar niche, and scar volume is the most powerful predictor."/>
Odds ratio | 95% CI | P-value | |
---|---|---|---|
Scar length (mm) | 0.76 | 0.33–3.45 | 0.12 |
Scar depth (mm) | 3.47 | 2.33–7.98 | < 0.001** |
Scar width (mm) | 2.5 | 2.11–5.55 | < 0.001** |
Scar volume (cm3) | 7 | 3.40–11.40 | < 0.001** |
Minimal scar thickness (mm) | 1.03 | 0.40–2.11 | 0.11 |
Relative change (%) | 2.11 | 0.23–3.11 | 0.09 |