Magnetic resonance imaging in the diagnosis of endometriosis

In: Translational Medicine · 2020 · vol. 6(6) , pp. 40–50 · doi:10.18705/2311-4495-2019-6-6-40-50 · W3004041506
article OA: diamond CC0
AI-generated summary by claude@2026-06, 2026-06-07

Magnetic resonance imaging is a highly accurate, non-invasive method for diagnosing endometriosis, visualizing most endometriotic foci to inform treatment planning and prevent complications.

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AI-generated deep summary by claude@2026-06, 2026-06-07

The paper reviews the role of pelvic magnetic resonance imaging for diagnosing endometriosis, placing it among ultrasound and laparoscopy as instrumental diagnostic methods. It states that MRI has high diagnostic accuracy and can visualize most endometriotic foci, including extraperitoneal lesions, which supports more appropriate treatment planning and helps prevent complications. The main limitation acknowledged is not an empirical one in the provided text but rather the reliance on imaging-based assessment as part of a broader diagnostic approach, alongside other modalities. This paper is centrally about endometriosis — it focuses on how MRI can diagnose endometriotic lesions (including extraperitoneal foci) in pelvic imaging.

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Abstract

Endometriosis is one of the most common gynecological diseases, which has a negative effect on the women’s life quality and is one of the main causes of infertility. The early and preсise desease detection is essential to prevent the possibility of sequelae. From instrumental methods for the diagnosis of endometriosis ultrasound, magnetic resonance imaging and laparoscopy are currently used. MRI is the most informative non-invasive method in instrumental diagnosis of various forms of endometriosis. MRI of the pelvic organs has a high accuracy in the diagnosis of endometriosis and allows visualization of most endometriotic foci, including extraperitoneal, that allows you to properly plan treatment and prevent complications of the disease.

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Condition tags

endometriosisinfertility

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last seen: 2026-06-10T17:14:06.276822+00:00
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