OBJECTIVE: To determine whether the surgical diagnosis of endometriosis can be predicted using symptoms, signs, and ultrasound findings. DESIGN: Prospective study (study sample); retrospective record review (test sample). SETTING: Hospital of Desio (study sample) and Mangiagalli Hospital (test sample), Italy. PATIENT(S): Ninety women scheduled to undergo laparoscopy or laparotomy (study sample); 120 women who underwent laparoscopy (test sample). INTERVENTION: The study sample group was interviewed before surgery about infertility and dysmenorrhea, dyspareunia, and noncyclic pelvic pain and each member had a pelvic examination and a transvaginal ultrasound. At surgery, endometriosis was noted. For the test sample, the same information was abstracted from medical records after laparoscopy. MAIN OUTCOME MEASURE(S): The ability of symptoms, signs, and ultrasound to predict endometriosis at surgery. A classification tree was developed with the study sample and evaluated with the test sample. RESULT(S): Ovarian endometriosis, but not nonovarian endometriosis, could be reliably predicted with noninvasive tools. Ultrasound and examination best predicted ovarian endometriosis, correctly classifying 100% of cases with no false positive diagnoses in the study sample. Similar results were found in the test sample. CONCLUSION(S): Noninvasive tools may be used to identify women with ovarian, but not nonovarian endometriosis, with excellent agreement with surgical diagnosis.
OBJECTIVE: To determine whether the surgical diagnosis of endometriosis can be predicted using symptoms, signs, and ultrasound findings. DESIGN: Prospective study (study sample); retrospective record review (test sample). SETTING: Hospital of Desio (study sample) and Mangiagalli Hospital (test sample), Italy. PATIENT(S): Ninety women scheduled to undergo laparoscopy or laparotomy (study sample); 120 women who underwent laparoscopy (test sample). INTERVENTION: The study sample group was interviewed before surgery about infertility and dysmenorrhea, dyspareunia, and noncyclic pelvic pain and each member had a pelvic examination and a transvaginal ultrasound. At surgery, endometriosis was noted. For the test sample, the same information was abstracted from medical records after laparoscopy. MAIN OUTCOME MEASURE(S): The ability of symptoms, signs, and ultrasound to predict endometriosis at surgery. A classification tree was developed with the study sample and evaluated with the test sample. RESULT(S): Ovarian endometriosis, but not nonovarian endometriosis, could be reliably predicted with noninvasive tools. Ultrasound and examination best predicted ovarian endometriosis, correctly classifying 100% of cases with no false positive diagnoses in the study sample. Similar results were found in the test sample. CONCLUSION(S): Noninvasive tools may be used to identify women with ovarian, but not nonovarian endometriosis, with excellent agreement with surgical diagnosis.
Authors: Ayae Yamamoto; Erica B Johnstone; Michael S Bloom; Heather G Huddleston; Victor Y Fujimoto Journal: J Assist Reprod Genet Date: 2017-04-17 Impact factor: 3.412
Authors: Vicki Nisenblat; Patrick M M Bossuyt; Rabia Shaikh; Cindy Farquhar; Vanessa Jordan; Carola S Scheffers; Ben Willem J Mol; Neil Johnson; M Louise Hull Journal: Cochrane Database Syst Rev Date: 2016-05-01
Authors: Devashana Gupta; M Louise Hull; Ian Fraser; Laura Miller; Patrick M M Bossuyt; Neil Johnson; Vicki Nisenblat Journal: Cochrane Database Syst Rev Date: 2016-04-20