| Title: |
Endometrial Volume Measured by VOCAL Compared to Office Hysteroscopy for Diagnosis of Endometrial Polyps in Premenopausal Women with Abnormal Uterine Bleeding. |
| Authors: |
Laban, Mohamed, Hussain, Sherif H., Hassanin, Alaa S., Khalaf, Waleed M., Etman, Mohamed K., Elsafty, Mohammed S. E., Bahaa Eldin, Ahmed M., Hasanien, Ahmad S., Sakna, Noha A., Taema, Mohammed, Mostafa, Mohammed H., Eisa, Marwa M. |
| Source: |
Obstetrics & Gynecology International; 11/24/2016, p1-7, 7p |
| Subject Terms: |
HYSTEROSCOPY, PERIMENOPAUSE, POLYPS, UTERINE hemorrhage, DISEASES in women, COMPARATIVE studies, DIAGNOSIS |
| Abstract: |
The aim is to compare hysteroscopy, two-dimensional transvaginal ultrasound (2D TVUS), and three-dimensional (3D) Virtual Organ Computer-aided AnaLysis™ (VOCAL) to detect endometrial polyps (EPs) in premenopausal women with abnormal uterine bleeding (AUB). This prospective study was done at Ain Shams Maternity Hospital, Egypt, from March 5, 2015, to December 30, 2015, enrolling 118 premenopausal women with AUB. 2D TVUS, 3D VOCAL, and hysteroscopy were done. 109 patients reached final analysis. 36 women (33%) were diagnosed with EP by 2D TVUS. 50 (45.9%) had EP by hysteroscopy. Endometrial thickness was 10.1 mm by 2D TVUS and endometrial volume was 4.92 mL by VOCAL in women with EP by hysteroscopy compared to 9.9 mm and 3.50 mL in women with no EP, respectively (P=0.223; P=0.06). 2D TVUS has sensitivity, specificity, and positive and negative predictive values of 54%, 84.7%, 75%, and 68.5%, respectively. Endometrial thickness of >7.5 mm has sensitivity, specificity, positive and negative predictive values, and overall accuracy of 82%, 37.3%, 52.6%, 71%, and 57.8%, respectively. Endometrial volume of >1.2 mL has sensitivity, specificity, positive and negative predictive values, and overall accuracy of 90%, 42.4%, 57%, 83.3%, and 64.2%, respectively. 3D VOCAL may be used as a noninvasive method for the diagnosis of EP in premenopausal women with AUB. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
