EP25.25: Decoding Müllerian duct anomalies: a comprehensive MRI approach for accurate diagnosis – a prospective study
Müllerian duct anomalies (MDAs) present challenges in diagnosis and treatment. This study aimed to assess the accuracy of magnetic resonance imaging (MRI) in diagnosing MDAs by evaluating uterine fundal contour and endometrial cavity indentation. A prospective study enrolled 25 patients with primary amenorrhea and cyclical pain referred from obstetrics and gynecology to radiology departments between December 2019 and October 2023. MRI was performed to assess MDAs, categorised as hypoplastic uterus, unicornuate uterus, didelphus, bicornuate, septate, and DES drug-related anomalies. Among the 25 patients, hypoplastic uterus (48%) and unicornuate uterus (24%) were the most common anomalies, followed by septate (20%), didelphus (4%), and bicornuate (4%). No DES drug-related anomalies were observed. MRI effectively visualised external uterine fundal contour and internal endometrial cavity indentation, facilitating accurate diagnosis. MRI of the pelvis emerged as a highly efficient diagnostic tool for Müllerian duct anomalies, with the ability to accurately identify morphological characteristics crucial for diagnosis and treatment planning. These findings suggest that MRI can serve as a cornerstone in diagnosing MDAs, aiding in better patient management and outcomes. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Authors
- Aniruddh Deshpande (ORCID: https://orcid.org/0000-0001-7303-9131)
- M. Mohod
- A. Kamle
- Babasaheb Sonawane
Institutions
- Indira Gandhi Government Medical College & Hospital (IN)
Publication Details
- Journal
- Ultrasound in Obstetrics and Gynecology
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1002/uog.29072
- Primary Topic
- Parvovirus B19 Infection Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00