Background: Ovarian cysts known as ovarian masses, are commonly found incidentally in asymptomatic women. Ovarian cancer is the 7th most frequent cancer in women worldwide, as well as the eighth leading cause of cancer death. Ultrasonography is the principal imaging technique for confirming the mass ovarian origin and determining whether the mass is benign or malignant. Method: This descriptive cross sectional study was conducted from 15 June to December 2019 in the Radiology Department of Avicenna Medical College. A total of 90 ultrasounds undertaken at the Gynecological Ultrasound Unit. A total of 32 patients with functioning ovarian cysts were included. A total of 46 individuals with benign tumors and 9 patients with malignant cysts were included in the control group. The remaining patients were not followed up on and were treated at a different center. The majority of the patients had issues with their menstrual cycle and pain. Results: The mean age of the patients was 35.6+9.16. In functioning ovarian cysts, benign tumors & ovarian tumors. The functioning ovarian cysts had a mean size of 40.8 mm +16.35 mm. Differences were significant found between1this group & other1two groups: A mean size of 61.75 +65.5; P, 0.001 was seen for non-functional benign ovarian disease; and the average size of malignant cysts was 85.9 +50.6; P = 0.001. Out of 32 functional1ovarian cysts, 22 were found by ultrasonography, 8.0 were not identified and 2.0 cases were1diagnosed ultra-sonographically as functional ovarian cysts but histologically revealed to be benign ovarian cysts (non-functional). The sensitivity of color Doppler ultrasound was determined to be 82.0%. Conclusion: The study's findings revealed that ultrasound had an 82 percent sensitivity in diagnosing ovarian masses, increasing its accuracy. As a result, ultrasonography appears to be the first modality of choice in the examination of any woman suspected of having an ovarian tumor. Also, to rule out the need for unnecessarily surgical procedures in benign lesions. Keywords: Ovarian Cysts, cancer, ultrasound
Background: The majority of intradural spinal tumors are extramedullary accounting for 40% of all spinal tumors with meningiomas and nerve sheath tumors being the most frequent. Objective: To determine the diagnostic accuracy of MRI in the detection of intradural extramedullary spinal tumors taking histopathology as gold standard. Methodology: This study comprised of 140 patients with clinical suspicion of intradural extramedullary spinal tumor. MRI was performed. The cases were operated and histopathological results were recorded. The results of MRI and histopathology were compared taking histopathology as gold standard. Results: Out of 140 patients, 96 patients (68.6%) had an extramedullary tumor on MRI. After comparison of results of MRI with histopathology, the sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of MRI were 99%, 95.5%, 97.9%, 97.9% and 97.7% respectively. Conclusion: MRI is a highly accurate, non-invasive, safe and convenient imaging modality for the evaluation of intradural spinal tumors and is valuable for early detection, planning management and guiding surgical biopsies.
Purpose: To compare between a Diagnostic TIRADS and thyroid ultrasound classification system proposed by Kim et al and to determine its efficiency in identifying between benign and malignant and neoplastic from non neoplastic lesions. Materials and methodology: Consecutive subjects attending endocrinology / surgery OPD and undergoing ultrasound screening for thyroid lesions and subsequently undergoing histopathological examination (FNAC/ biopsy/ excision) were selectively identified and invited to participate in the study. Thyroid lesions were then classified based on TIRADS and ultrasound based classification system and followed up afterwards for histopathological reports. About 20 patients were screened using e- saote (mylab) machine using 12.5 MHz linear array transducer Histopathological examination was done by Biopsy, excision, FNAC ultrasound guidance or otherwise Using Statistical Pac Results: kage for Social sciences (SPSS) and students- t test; sensitivity, specificity and P values were found out Diagnostic Conclusion: TIRADS is reliable, efficient, easier and simpler than other classification system for identifying between neoplastic with non-neoplastic lesions and benign with malignant lesions.
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