Findings of Pelvic Endometriosis at Transvaginal US, MR Imaging, and Laparoscopy

医学 子宫内膜异位症 磁共振成像 放射科 盆腔疼痛 腹腔镜检查 病理
作者
Luciana Pardini Chamié,Roberto Blasbalg,Ricardo Pereira,Gisele Warmbrand,P. Serafini
出处
期刊:Radiographics [Radiological Society of North America]
卷期号:31 (4): E77-E100 被引量:213
标识
DOI:10.1148/rg.314105193
摘要

Endometriosis is a common multifocal gynecologic disease that manifests during the reproductive years, often causing chronic pelvic pain and infertility. It may occur as invasive peritoneal fibrotic nodules and adhesions or as ovarian cysts with hemorrhagic content. Although findings at physical examination may be suggestive, imaging is necessary for definitive diagnosis, patient counseling, and treatment planning. The imaging techniques that are most useful for preoperative disease mapping are transvaginal ultrasonography (US) after bowel preparation, and magnetic resonance (MR) imaging. Initial transvaginal US is a reliable technique for detecting rectosigmoid endometriotic lesions. MR imaging is indicated as a complementary examination in complex cases of endometriosis with extensive adhesions and ureteral involvement. Peritoneal endometriotic implants are typically hypoechoic on transvaginal US images and demonstrate low signal intensity on T2-weighted MR images. Endometriotic implants most commonly are found in retrocervical and rectosigmoid sites, followed by the vagina, bladder, and ureters. Cysts with low-level internal echoes and echogenic peripheral foci at transvaginal US are suggestive of endometriomas. MR imaging has high specificity for identifying endometriomas, which are characterized by high signal intensity on T1-weighted images and low signal intensity on T2-weighted images. Correlation of the radiologic imaging features of endometriotic lesions with their laparoscopic appearances may help improve individual proficiency in the radiologic diagnosis of endometriosis. Supplemental material available at http://radiographics.rsna.org/lookup/suppl/doi:10.1148/rg.314105193/-/DC1. © RSNA, 2011

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