Detection and characterization with short TI inversion recovery MR imaging.
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Abstract
Short TI inversion recovery magnetic resonance imaging (STIR-MRI) with spin echo (SE) T1-and T2-weighted images of the pelvis was investigated to evaluate its usefulness in detecting and characterizing endometriosis. Thirty-one women suspected of having the disease were studied in detail. MR findings with and without STIR-MRI were correlated with the results of laparotomy (27 women) and laparoscopy (4 women). Surgery revealed endometriosis in 29 women (17 ovarian chocolate cysts, 22 intestinal adhesions, 14 cul-de-sac obliterations and 12 adenomyosis). The other two women did not have endometriosis (uterine prolapse in one and submucosal leiomyoma in one). An ovarian chocolate cyst was diagnosed when a T1-elongated lesion showed shading, loculus or a low intensity rim on SE MR images, and a low intensity rim on STIR-MRI. Only 12 of the 17 chocolate cysts and neither of the two hemorrhagic corpus lutein cysts were correctly diagnosed on SE MR images, whereas 18 of these 19 cysts were correctly diagnosed because of the low intensity rim on STIR-MRI. In the pathological analysis, the rim was found to be a fibrous capsule and there were many macrophages which phagocytized hemosiderin. For the assessment of ovarian chocolate cysts, accuracy improved from 63.2% to 94.7%. As for the adhesion between the intestine and the uterus, specificity improved from 61.9% to 90.5% and accuracy improved from 67.7% to 93.5% when STIR-MRI was used. For the assessment of the cul-de-sac obliteration, accuracy improved from 67.7% to 83.8%, although chi 2 analysis showed no significance. The major factors for the improved accuracy with STIR-MRI are the decrease of the motion artifact owing to the suppression of the fat signal, decreased chemical shift artifact and accurate differentiation of fat from hemorrhagic component. Therefore, STIR-MRI is a useful and reliable procedure and should be used together with SE T1-, T2-weighted images for the assessment of endometriosis.
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References (26)
- Adenomyosis and leiomyoma: differential diagnosis with MR imaging. via openalex
- Applications of magnetic resonance imaging to gynecology via openalex
- Characterization of hemorrhagic adnexal lesions with MR imaging: blinded reader study. via openalex
- Clinical Presentation and Diagnosis of Endometriosis via openalex
- Endometrial cysts of the ovary: MR imaging. via openalex
- Endometriosis: appearance and detection at MR imaging. via openalex
- Enlarged uterus: differentiation between adenomyosis and leiomyoma with MR imaging. via openalex
- Magnetic resonance imaging using “fat-saturation” technique is useful for diagnosing small endometrioma: a case report via openalex
- Monitoring therapy with a gonadotropin-releasing hormone analog: utility of MR imaging. via openalex
- MR imaging in the evaluation of female infertility. via openalex
- MR imaging of the female pelvic region. via openalex
- Pelvic endometriosis: detection and diagnosis with chemical shift MR imaging. via openalex
- Pelvic endometriosis: MR imaging. via openalex
- W1997312656 via openalex
- W1995020087 via openalex
- W2079497551 via openalex
- W2085850474 via openalex
- W2090695249 via openalex
- W2137402089 via openalex
- W1987614585 via openalex
- W2023759724 via openalex
- W10130965 via openalex
- W2026658346 via openalex
- W2038617350 via openalex
- W2039739593 via openalex
- W1997475360 via openalex
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