Comparison Between the Findings on Transvaginal 3D Ultrasound Scan and Hysteroscopy in Patients Diagnosed with Subtle Incomplete Uterine Septum/Arcuate Uterine Anomaly on Hysteroscopy

2016 ◽  
Vol 23 (7) ◽  
pp. S111-S112
Author(s):  
O Abuzeid ◽  
O Zaghmout ◽  
J Corrado ◽  
J Hebert ◽  
MI Abuzeid
2019 ◽  
Vol 16 (1) ◽  
Author(s):  
O. Abuzeid ◽  
J. LaChance ◽  
J. Hebert ◽  
M. I. Abuzeid ◽  
R. Welch

Abstract Purpose To determine the accuracy of transvaginal 3D ultrasound scan (TV 3D US) in detecting partial septate uterus (PSU) in patients with recurrent pregnancy loss (RPL). Methods This retrospective study included 113 patients with an initial diagnosis of unexplained RPL, who were subsequently found to have PSU on diagnostic hysteroscopy and who had TV 3D US prior to surgery. The diagnosis of PSU was made at the time of a diagnostic hysteroscopy based on ESHRE-ESGE classification of Müllerian anomalies. Based on hysteroscopic findings, patients were divided into two groups: those with PSU and a central point of indentation at an acute angle < 90° (PSUAA) [30.1%], and those who had PSU and a central point of indentation at an obtuse angle (PSUOA) [69.9%]. We compared the mean internal indentation length at the fundal midline (IILFM) in millimeters on TV 3D US and on diagnostic hysteroscopy. For the purpose of this study, a diagnosis of PSU on hysteroscopy was made if IILFM measured ≥ 10 mm. Results The mean IILFM (mm) on hysteroscopy was significantly higher than the mean IILFM (mm) measured on TV 3D US in patients with PSUAA (18.5 ± 6.5 vs 4.9 ± 4.4; P < 0.001), in patients with PSUOA (14.1 ± 3.8 vs 4.3 ± 3.4; P < 0.001), and in the overall population (15.3 ± 5.1 vs 4.1 ± 4.4; P < 0.001). Conclusions The data suggest that mean IILFM in patients with RPL and PSU can be underestimated on TV 3D US. Therefore, its diagnostic accuracy in such patients may need further evaluation.


2020 ◽  
Vol 2 (11) ◽  
pp. 2433-2437
Author(s):  
Ahmad Aboulfatth Abo-Zaid ◽  
Amr Hassaan Farag ◽  
Mohamed Hassan Nasr El-Deen ◽  
Hend Galal Eldeen Mohamed Ali Hassan ◽  
Amal Ibrahim Ahmed Othman

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