%0 Journal Article %T Accuracy of Three-Dimensional Saline Infusion Sono-Hysterography Versus Diagnostic Hysteroscopy in Diagnosis of Uterine Cavity Lesions %J The Medical Journal of Cairo University %I The Clinical Society of Cairo University %Z 0045-3803 %A FAHD A. AL OMDA, M.D., AHMED ALI M. ALI, M.Sc.; %A A. MOUSTAFA, M.D., ABDELMONSEF %D 2022 %\ 12/01/2022 %V 90 %N 12 %P 1971-1976 %! Accuracy of Three-Dimensional Saline Infusion Sono-Hysterography Versus Diagnostic Hysteroscopy in Diagnosis of Uterine Cavity Lesions %K 3D sonohysterography %K Fibroid %K Hysteroscopy %K Polyps %R 10.21608/mjcu.2022.286917 %X Abstract Background: Endometrial carcinoma & benign entities like normal proliferative transformation, hyperplasia, & polyps can all lead to abnormal uterine cavity. Addition of three-dimensional (3D) sonohysterography to conventional sono-hysterography improves accuracy of endometrial pathology diagnosis. Three-Dimensional Saline Infusion Sono-Hysterography (3D SIS) assess uterine contour, adhesions, & focal pathologies with confidence. Aim of Study: To compare between accuracy of three-dimensional saline infusion sono-hysterography versus diag-nostic hysteroscopy in diagnosis of uterine cavity lesions. Patients and Methods: This was a prospective cohort research, conducted at Al-Hussein Hospital of Al-Azhar University on a total of 60 cases with uterine cavity lesions from March 2021 till March 2022. Results: 3D SIS was significant in detecting uterine cavity abnormality with sensitivity of 92.5% and specificity of 95% while PPV was 97% and NPV was 86% with accuracy of 93.3 %. Conclusion: Saline infusion sonohysterography in three dimensions is safe alternative to hysteroscopy. In diagnosis of uterine cavity lesions, it is comparable to hysteroscopy, & it may be used as primary technique for assessing uterine cavity when intracavitary lesions are suspected. Hysteroscopy is still gold standard for evaluating uterine cavity. %U https://mjcu.journals.ekb.eg/article_286917_a2bda44ab6a359987865f6a8e733008e.pdf