Background: Lymphomas, originating from lymphoreticular tissues, are heterogeneous malignancies categorized into Hodgkin's disease (HD) and Non-Hodgkin's lymphoma (NHL). Multidetector Computed Tomography (MDCT) is crucial for assessing lymphadenopathy and detecting lymphomatous involvement in abdominal organs. MDCT provides comprehensive cross-sectional imaging, essential for disease staging, radiation therapy planning, and monitoring therapeutic response. Methodology: A cross-sectional study was conducted over two years (October 2018 - October 2020) at Osmania Medical College and MEHDI NAWAZ JUNG Cancer Hospital. The study included 60 patients suspected of having lymphoma, with exclusion criteria including contrast allergy and pregnancy. Patients underwent MDCT scanning using both 64-slice and 128-slice CT scanners. Parameters included oral and intravenous contrast administration to enhance imaging clarity. Results: Of the 60 patients, 25% had Hodgkin's lymphoma and 75% had Non-Hodgkin's lymphoma. The majority of NHL cases were in the 40-60 year age group, whereas Hodgkin's lymphoma was more prevalent in younger individuals (0-10 years). Males were more frequently affected (72%) compared to females (28%). A significant proportion (70%) of cases were immune-suppressed. Hodgkin's lymphoma predominantly involved cervical, axillary, and mediastinal lymph nodes, while Non-Hodgkin's lymphoma was more likely to involve the liver and spleen. Discussion: MDCT proved effective in detecting and staging lymphoma, differentiating between Hodgkin's and Non-Hodgkin's types based on lymph node involvement and extranodal spread. It is a vital tool for planning treatment and monitoring disease progression, with the ability to detect synchronous malignancies. MDCT also aids in distinguishing lymphoma from other malignancies, like gastric carcinoma, by providing detailed imaging and 3D reconstructions. Conclusion: MDCT is a preferred modality for the comprehensive assessment of lymphoma, aiding in accurate staging, treatment planning, and follow-up. Its ability to visualize the extent and characteristics of lymphoma lesions contributes to effective management and prognosis evaluation