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Endometriosis MR mimickers: T2-hypointense lesions
Edouard Ruaux1, Wendaline M VanBuren2, Stéphanie Nougaret3
1Department of Radiology, Hospices Civils de Lyon, Lyon Sud University Hospital, Lyon 1 Claude Bernard University, EMR 3738, Pierre Bénite, France.
Magnetic resonance imaging (MRI) for deep infiltrating endometriosis has a 23% false-positive rate. Recognizing mimics like anatomical variations and tumors is crucial to prevent misdiagnosis and improve patient care.
Area of Science:
- Radiology
- Women's Health
- Medical Imaging
Background:
- Endometriosis is a prevalent condition affecting women of reproductive age.
- Magnetic resonance imaging (MRI) is the primary tool for diagnosing and managing endometriosis.
- While MRI offers high sensitivity for deep infiltrating endometriosis (DIE), it suffers from a lack of specificity due to false-positive findings.
Purpose of the Study:
- To educate radiologists on MRI criteria for deep pelvic infiltrating endometriosis.
- To highlight common pitfalls and differential diagnoses that lead to false-positive MRI results.
- To improve the accuracy of endometriosis diagnosis by reducing overdiagnosis.
Main Methods:
- Review of MRI criteria for diagnosing deep pelvic infiltrating endometriosis.
- Analysis of common sources of T2-hypointense lesions that mimic endometriosis.
- Emphasis on multisequence interpretation, morphologic assessment, and precise anatomic localization.
Main Results:
- MRI in deep infiltrating endometriosis demonstrates a 23% false-positive rate.
- T2-hypointense lesions mimicking DIE arise from anatomical variants, fibrous tissues, tumors, feces, surgical materials, and scars.
- Accurate diagnosis requires careful evaluation to differentiate these mimickers from actual endometriosis.
Conclusions:
- Reducing false-positive MRI findings in deep infiltrating endometriosis is essential for appropriate patient management.
- Radiologists must be aware of differential diagnoses, including anatomical variations and neoplasms.
- Multisequence MRI interpretation and precise localization are key to preventing misdiagnosis.
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