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MR Evaluation of Uterine Mass Lesions in Correlation with Transabdominal and Transvaginal Ultrasound

Journal: International Journal of Science and Research (IJSR) (Vol.10, No. 2)

Publication Date:

Authors : ;

Page : 760-765

Keywords : MRI; Magnetic Resonance imaging; TVUSG;

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Introduction: This study involves detailed evaluation of uterine mass lesions like number, location, size, other measurements, degenerative changes within the lesions, extent of the lesion using Transabdominal ultrasound, Transvaginal ultrasound & MRI. Final diagnosis by imaging was compared with histopathological reports. Aim: To evaluate the MRI characteristics of uterine mass lesions. To compare the sensitivity of MRI, Transabdominal ultrasound, Transvaginal ultrasound in characterising the uterine mass lesions. To assess the accuracy in staging the malignant mass lesions. Materials and Methods: A prospective study of 52 patients with suspected uterine masses referred from Department of Obstetrics and Gynecology, Rangaraya Medical College, Ggh, Kakinada, to the Department of Radiodiagnosis from November 2019 to October 2020. Inclusion Criteria: 1.All patients referred from Department of Obstetrics and Gynecology, Rangaraya Medical College, Ggh, Kakinada, suspected to have uterine mass lesions willing to undergo all three tests and willing for surgery were included in the study. Exclusion Criteria: 1. Patients who did not undergo all three tests. 2. Not operated or non availability of the histopathological examination report. 3. Patient with MR incompatible devices or implants 4.Patients of Claustrophobia Results: In classifying myometrial mass lesions, the diagonal agreement between USG and MRI is 54 %, between transvaginal USG and MRI is 67 %. Localizing the site of lesion and number of lesions is best with MRI. Conclusion: High spatial resolution MR imaging with CP spine Array coil is accurate for characterisation, localisation and evaluation of the number of lesions in benign uterine mass lesions and for staging of malignant mass lesions.

Last modified: 2021-06-26 18:30:12