Endometriosis MRI lexicon: consensus statement from the society of abdominal radiology endometriosis disease-focused panel
Author:
Publisher
Springer Science and Business Media LLC
Subject
Urology,Gastroenterology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://link.springer.com/content/pdf/10.1007/s00261-019-02291-x.pdf
Reference72 articles.
1. Chamie, L.P., et al., Findings of pelvic endometriosis at transvaginal US, MR imaging, and laparoscopy. Radiographics, 2011. 31(4): p. E77-100.
2. Coutinho, A., Jr., et al., MR imaging in deep pelvic endometriosis: a pictorial essay. Radiographics, 2011. 31(2): p. 549-67.
3. Thalluri, A.L., S. Knox, and T. Nguyen, MRI findings in deep infiltrating endometriosis: A pictorial essay. J Med Imaging Radiat Oncol, 2017. 61(6): p. 767-773.
4. Corwin, M.T., et al., Differentiation of ovarian endometriomas from hemorrhagic cysts at MR imaging: utility of the T2 dark spot sign. Radiology, 2014. 271(1): p. 126-32.
5. Guerriero, S., et al., Systematic approach to sonographic evaluation of the pelvis in women with suspected endometriosis, including terms, definitions and measurements: a consensus opinion from the International Deep Endometriosis Analysis (IDEA) group. Ultrasound Obstet Gynecol, 2016. 48(3): p. 318-32.
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