We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




MRI Accurately Depicts Deep Endometriosis

By MedImaging International staff writers
Posted on 05 Aug 2009
Utilizing magnetic resonance imaging (MRI), radiologists may be able to diagnose deep endometriosis and accurately locate lesions prior to surgery, according to a new study.

The study's findings were published July 2009 in the online edition of the journal Radiology. "Pelvic MRI at 3 Tesla is a noninvasive technique that allows a complete examination of the pelvis,” said the study's lead author, Nathalie Hottat, M.D., from the department of radiology at Erasme Hospital (Brussels, Belgium) and the Université Libre de Bruxelles (Brussels, Belgium). "It accurately depicts all locations of deep endometriosis.”

Endometriosis is a chronic and painful disease that results when uterine tissue, called endometrium, grows outside the uterus. Endometrium can attach to other organs, such as the ovaries, fallopian tubes, bowels, and bladder. Endometriosis is one of the most common health problems affecting women. According to the U.S. Department of Health and Human Services, approximately five million American women have endometriosis. Symptoms include chronic pelvic pain, lower back pain, painful sexual intercourse, painful menstrual cramps, fatigue, and infertility.

There are two types of endometriosis: superficial and subperitoneal (deep). Deep endometriosis infiltrates areas of the cervix, vagina, and/or the colon, and less frequently, the bladder and ureter. Superficial endometriosis can be treated with laparoscopy, but deep endometriosis sometimes requires complete surgical excision of the lesions.

It is important that the diagnosis and staging of the disease distinguish between the two types in order to guide the surgeon to plan the most appropriate procedure. Therefore, the researchers set out to determine the accuracy of 3-T pelvic MRI in diagnosing the presence of deep endometriosis and to assess colon wall involvement.

The researchers examined 41 women, age 20-46, with suspected endometriosis. MRI was performed prior to surgery. MRI accurately diagnosed 26 of 27 cases of deep endometriosis. Moreover, MR images accurately depicted specific locations of deep endometrial lesions. "The 3T MRI results also demonstrated a high negative predictive value of 93.3%,” Dr. Hottat said, "meaning that MRI findings accurately ruled out deep endometriosis in patients with superficial endometriosis, allowing the surgeon to perform the less invasive laparoscopic procedure.”

Colon wall involvement was present in 32% of patients with deep endometriosis. MRI was effective at distinguishing different layers of the affected colon wall and accurately depicted the level of colon wall invasion.

Related Links:

Erasme Hospital
Université Libre de Bruxelles


Post-Processing Imaging System
DynaCAD Prostate
Radiation Safety Barrier
RayShield Intensi-Barrier
MRI System
nanoScan MRI 3T/7T
Multi-Use Ultrasound Table
Clinton

Channels

Nuclear Medicine

view channel
Image: This artistic representation illustrates how the drug candidate NECT-224 works in the human body (Photo courtesy of HZDR/A. Gruetzner)

Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies

Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.