Postoperative Imaging of Endometriosis.
Glaucy L NemeCassia T S GuimarãesPatricia P DantasDaniel D B SantanaFernando Ide YamauchiHilton M Leão FilhoLeonardo Kayat BittencourtRicardo M A PereiraLeandro A MattosPublished in: Radiographics : a review publication of the Radiological Society of North America, Inc (2024)
Endometriosis is a highly prevalent disease that affects 10%-15% of women of reproductive age worldwide and is mainly associated with chronic pelvic pain and infertility. With the widespread use of imaging for the diagnosis and monitoring of endometriosis, combined with the ability of surgery to eradicate the disease and address infertility, there has been a significant increase in recent years in imaging examinations for postoperative evaluation of endometriosis. US and MRI are used not only to help diagnose and map endometriosis but also to evaluate refractory symptoms, residual lesions, and complications at posttreatment assessment. Knowledge of surgical techniques and recognition of expected postoperative imaging findings are crucial to differentiate postoperative changes from residual disease and/or recurrence. The authors discuss imaging aspects of postoperative endometriosis, with an emphasis on the imaging approach, comprehension of surgical techniques, recognition of the expected findings, possible complications, and analysis of residual disease or recurrence. © RSNA, 2024 Test Your Knowledge questions for this article are available in the supplemental material. See the invited commentary by VanBuren in this issue. The slide presentation from the RSNA Annual Meeting is available for this article.
Keyphrases
- high resolution
- patients undergoing
- magnetic resonance imaging
- minimally invasive
- computed tomography
- polycystic ovary syndrome
- pregnant women
- depressive symptoms
- magnetic resonance
- spinal cord
- insulin resistance
- physical activity
- atrial fibrillation
- pain management
- skeletal muscle
- case report
- coronary artery disease
- mass spectrometry
- photodynamic therapy
- sleep quality
- cervical cancer screening