Background: The MSV mode or Tomographic ultrasound imaging (TUI) allows the simultaneous showing of several longitudinal parallel views for a reference (sagittal, coronal, transverse) plane of the target, its direction and rotation, and magnitude and slice depth and length (0.5 to 5 mm) to be modified by region of interest depending on the size of the object's area of expertise.
Objective: To evaluate the diagnostic efficacy of 3D US (multi-slice view) characterizing adnexal masses for prediction of specific pathological nature.
Materials and Methods: This prospective study was carried out on 70 patients with age between 15 and 82 years, attending the outpatient clinic of Gynecological Department of Al -Azhar University Hospitals diagnosed as having adnexal mass on conventional 2D sonography. Imaging studies for diagnosis of adnexal masses, 3D US MSV (Multislice view) technique. Diagnostic work-up included an Original 2D ultrasound mass evaluation accompanied by 3D US volume assessment. All masses were evaluated by 3D US MSV.
Results: According to the color score in all ovarian masses with solid component, either pure solid or heterogeneous, 11.54% of the masses showed no vascular flow, 46.6 % had mild flow, 7.69 % with moderate flow, and 34.6 % with severe vascular flow. Ovarian masses were classified to benign and malignant by 3D US, and according to their final histopathological analysis. There was a clinical significance relationship for age with the final diagnosis. The test performance of US to detect characterizing adnexal masses as benign or malignant with sensitivity and specificity are 52% and 95.5% respectively. Obese patients with BMI more than 30 with Sensitivity and specificity for US were 52 %, 92.8 % respectively were excluded. Sensitivity of US improved from 52% to 63.6%.
Conclusion: MSV 3D US can be useful in the anatomical evaluation of adnexal masses, particularly for the identification of papillary projections in adnexal cysts. This new technique has the potential for expert consultation by sending the image volume to them to do offline analysis, even after finishing the examination with the patient.