To validate sonographic based scoring system in prediction of morbidly adherent placenta (MAP) in high risk population. A retrospective cohort study was conducted including pregnant women with previous uterine scar (Cesarean section, dilatation and curettage, etc.) and anterior placenta (previa or not) who had Ultrasound evaluation antenatal and delivered in our center. Using three previously proposed sonographic-based score system published by Tovbin et al, Rac et al, and Gilboa et al to predict MAP, Ultrasound images from the first study of second or third trimester performed in our unit were reviewed by a junior Maternal Fetal Medicine Specialist blinded from the final pathology report and/or surgical notes. Parameters assessed by Tovbin included number of previous cesarean sections, number and size of placental lacunae, obliteration of demarcation between uterus and placenta, location of the placenta and Doppler assessment. Rac assessed two or more previous caesarian sections, Lacunae grade, sagittal smallest myometrial thickness, anterior placenta and bridging vessel. Finally, Gilboa evaluated presence and number of placental lacunae, interruption of the uterus-bladder interface, obliteration of demarcation between the uterus and the placenta. 55 pregnant women who met the inclusion criteria were reviewed. Nine (16%) cases of MAP were found at the time of delivery and all had hysterectomy. Pathology report confirmed operative finding. Scoring systems designed by Tovbin et al, Rac et al and Gilboa et al identified 88%, 77% and 55% of cases of MAP, respectively. When the scoring system ruled out MAP, Tovbin predicted 97%, Rac 95% and Gilboa 97%. In our cohort study, Tovbin had superior prediction of MAP than the other two scoring system. No difference was found to prediction negative cases of MAP for all three scoring system and appear to be a useful tool. Larger sample and further statistical analysis should be performed before implementation of scoring system in a routine high risk patient assessment.View Large Image Figure ViewerDownload Hi-res image Download (PPT)
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