Comparison of MRI Versus Three Dimensional Ultrasound in the Diagnosis of Mullerian Duct Anomalies (MDA-3DUS)
|ClinicalTrials.gov Identifier: NCT01393938|
Recruitment Status : Terminated
First Posted : July 13, 2011
Last Update Posted : January 8, 2015
Mullerian duct anomalies (MDAs) are relatively common disorders, with a prevalence estimated to be around 2% in the general population, and 6% to 7% in women with a history of recurrent pregnancy loss. Mullerian duct anomalies are associated with recurrent pregnancy loss, intra uterine growth retardation, and preterm labor and birth. The prevalence of preterm birth and pregnancy loss varies with the type of MDA. Patients can benefit from surgery or hysteroscopic interventions like metroplasty based on the type of MDA. Therefore, to optimize patient outcomes, accurate diagnosis and description of MDAs is essential.
Magnetic resonance imaging (MRI) is an excellent way of evaluating the uterus for MDAs. MRI, although costly, is less expensive than laparoscopy and hysteroscopy and is non-invasive. Pellerito et all evaluated 26 women with surgically proven MDAs and found that in 24 cases MRI was able to correctly diagnose the MDAs. Therefore MRI is generally considered as a reference standard for uterine evaluation. In a study comparing MRI and endovaginal Two-Dimensional Ultrasound (2DUS), MRI appeared to be more accurate than 2DUS with a sensitivity of 77%, specificity of 33%, and a positive predictive value of 83%.
Endovaginal Three-Dimensional Ultrasound (3DUS) is a relatively new technology that creates three-dimensional volumes from a series of two-dimensional images. This technique allows the user to acquire coronal or face-on-view of the uterus which is essential in evaluating the uterus for the presence of MDAs. Kupesic and Kurjak used 3DUS to evaluate 86 patients and found that it had sensitivity of 98.38%, specificity of 100%, a positive predictive value of 100%, and a negative predictive value of 96% in the diagnosis of septate uteri . Endovaginal 3DUS is less expensive, less invasive, and less-time consuming than hysteroscopy or MRI and appears to be a very promising technology for the evaluation of MDAs. 3DUS appears to be at least as accurate as MRI in the diagnosis of MDAs. In addition, 3DUS is less expensive than MRI and in some patients better tolerated. If validated using prospective studies, 3DUS has the potential to become the reference standard for the diagnosis of MDAs.
|Condition or disease||Intervention/treatment||Phase|
|Mullerian Duct Anomaly||Other: Three-dimensional ultrasound||Not Applicable|
|Study Type :||Interventional (Clinical Trial)|
|Actual Enrollment :||16 participants|
|Intervention Model:||Single Group Assignment|
|Masking:||None (Open Label)|
|Official Title:||Comparison of MRI Versus Three Dimensional Ultrasound in the Diagnosis of Mullerian Duct Anomalies|
|Study Start Date :||April 2010|
|Actual Primary Completion Date :||January 2012|
|Actual Study Completion Date :||February 2013|
|Mullerian Duct Anomaly||
Other: Three-dimensional ultrasound
Immediately following the standard of care 2D-US, for approximately 15 min.
- Evaluation of 3D US and MRI in the diagnosis and assessment of patients with MDAs [ Time Frame: US and MRI within 1 month ]
Currently the best way for imaging Müllerian Duct Anomalies (MDAs) is Magnetic Resonance Imaging (MRI). In addition, doctors use Two Dimensional Ultrasound (2D-US) to obtain additional pictures of these abnormalities.
Three Dimensional Ultrasound is a new imaging method recently being used to assess these abnormalities. It works in exactly the same way as 2D-US, the only difference being a more up to date computer software, which helps obtain the better images.
This study will assess the accuracy of MRI versus Three Dimensional Ultrasound in viewing and correctly diagnosing MDAs.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01393938
|University Health Network-Princess Margaret Hospital|
|Toronto, Ontario, Canada, M5G 2M9|
|Principal Investigator:||Kartik Jhaveri, MD||University Health Network, Toronto|