Weizeng Zheng1, Baohua Li2, Yu Zou1, Fenlan Lou1. 1. Department of Radiology, Women's Hospital, Zhejiang University School of Medicine, Xueshi Rd No. 1, Hangzhou, Zhejiang, People's Republic of China. 2. Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Xueshi Rd No. 1, Hangzhou, 310006, Zhejiang, People's Republic of China. lbh19787@zju.edu.cn.
Abstract
OBJECTIVE: The aim of this study was to evaluate the value of MRI in the prenatal diagnosis and classification of cleft palate (CP). METHODS: We collected 94 fetal cases that were suspected of cleft palate with or without cleft lip by prenatal ultrasound (US) and then carried out further MRI to examine the entire body of each fetus within 1 week. The diagnoses resulting from MRI and US examination were compared separately with the final diagnoses obtained from postnatal physical examination or fetal autopsy. The diagnostic accuracy between MRI and US was then determined. RESULTS: During the follow-up period, the results for 6 fetuses (6.38%) were lost. Of the remaining 88 cases, the final diagnoses identified 23 cases of cleft lip (CL), 45 cases of unilateral cleft lip with cleft palate (UCLP), 4 cases of median cleft lip with cleft palate (MCLP), 12 cases of bilateral cleft lip with cleft palate (BCLP), 3 cases of unilateral cleft lip and cleft alveolus (CLA), and 1 case of isolated cleft palate (CPO). The total accuracy rate of US was 59.09%, while that of MRI was 92.05%. More importantly, 81 cases were accurately identified by MRI; the accuracy rate for CL, UCLP, MCLP, BCLP, CLA, and CPO was 86.96%, 95.56%, 100%, 91.67%, 66.67%, and 100%, respectively. CONCLUSION: Our results suggest that MRI could be a useful adjunct to US examination in the prenatal diagnosis of fetuses with cleft palate, and further demonstrates the classification and degree of involvement of the cleft palate. KEY POINTS: • MRI is a useful adjunct to prenatal ultrasound. • MRI has a higher accuracy rate for CP. • The accurate classification of CP diagnosed by MRI can guide clinical management.
OBJECTIVE: The aim of this study was to evaluate the value of MRI in the prenatal diagnosis and classification of cleft palate (CP). METHODS: We collected 94 fetal cases that were suspected of cleft palate with or without cleft lip by prenatal ultrasound (US) and then carried out further MRI to examine the entire body of each fetus within 1 week. The diagnoses resulting from MRI and US examination were compared separately with the final diagnoses obtained from postnatal physical examination or fetal autopsy. The diagnostic accuracy between MRI and US was then determined. RESULTS: During the follow-up period, the results for 6 fetuses (6.38%) were lost. Of the remaining 88 cases, the final diagnoses identified 23 cases of cleft lip (CL), 45 cases of unilateral cleft lip with cleft palate (UCLP), 4 cases of median cleft lip with cleft palate (MCLP), 12 cases of bilateral cleft lip with cleft palate (BCLP), 3 cases of unilateral cleft lip and cleft alveolus (CLA), and 1 case of isolated cleft palate (CPO). The total accuracy rate of US was 59.09%, while that of MRI was 92.05%. More importantly, 81 cases were accurately identified by MRI; the accuracy rate for CL, UCLP, MCLP, BCLP, CLA, and CPO was 86.96%, 95.56%, 100%, 91.67%, 66.67%, and 100%, respectively. CONCLUSION: Our results suggest that MRI could be a useful adjunct to US examination in the prenatal diagnosis of fetuses with cleft palate, and further demonstrates the classification and degree of involvement of the cleft palate. KEY POINTS: • MRI is a useful adjunct to prenatal ultrasound. • MRI has a higher accuracy rate for CP. • The accurate classification of CP diagnosed by MRI can guide clinical management.
Authors: M Bäumler; J-M Faure; M Bigorre; C Bäumler-Patris; P Boulot; C Demattei; G Captier Journal: Ultrasound Obstet Gynecol Date: 2011-08-25 Impact factor: 7.299
Authors: Hanneke E M van der Hoek-Snieders; Antonius J M L van den Heuvel; Harmieke van Os-Medendorp; Digna M A Kamalski Journal: Eur J Pediatr Date: 2019-12-03 Impact factor: 3.183