Study of the incidence of various retroperitoneal masses and accuracy of MDCT in detection of retroperitoneal masses
Keywords:
Retroperitoneal masses, Malignant, Benign, CECT, NECTAbstract
Background: Recognizing specific features of various retroperitoneal tumors is the next agenda on the list which includes evaluating the tumor components, vascularity and variable behaviour on imaging followed after intravenous injection of contrast media. Evaluation of all these features is made quite easy by the high contrast resolution provided by CT. Therefore, the present study was undertaken to study the incidence of various retroperitoneal masses and accuracy of MDCT in detection of retroperitoneal masses. Method: The present prospective study was carried out in the Department of Radiology, Ashwini Rural Medical College, Hospital and Research Centre, Kumbhari,India from 1.10.19 to 30.09.2020. The study consists of 50 patients referred to computed tomography with clinical and sonological suspicion of retroperitoneal mass who fulfills selection criteria.Result: Out of 50 cases, 42(84%) were malignant while 8(16%) were benign neoplasms. Among 50 patients, 28(56%) were males while 22(44%) were females. Commonest age group was 51-60years (26%) followed by 41-50 years (20%). Among malignant retroperitoneal neoplastic masses, most common were retroperitoneal neoplastic lymph nodal masses 24(42%) followed by STS 17(34%). Malignant lesions were more common in males 25(60%). Among the benign lesions, 2 were each of schwannoma, neurofibroma and paraganglioma while one each of lipoma and teratoma. Benign lesions were more common in females (62%). With female to male ratio of 5:3. Conclusion: CT is highly accurate/high efficacy in the detection of RP masses However differentiation of various malignant lesions from each other is difficult on CT features alone. CT is the modality of choice for pretreatment staging and post treatment follow-up of RP tumors.
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Copyright (c) 2021 Jyoti Tapadia, Anand Shrikant Gajakos
This work is licensed under a Creative Commons Attribution 4.0 International License.