Introduction: Computed Tomography (CT) enables the evaluation of both osseous and soft tissue details and has become an important imaging modality in the evaluation of patients presenting with a neck mass. The study was conducted to justify the usefulness of Multidetector CT (MDCT) in patients presenting with neck lesions. Aim: To detect benign and malignant non lymphoid lesions of the neck using MDCT imaging features and compare it with Fine Needle Aspiration Cytology (FNAC). Materials and Methods: This cross-sectional study undertaken in a Government Stanley Medical College, Chennai, India, the duration of the study, from June 2021 to May 2022. Contrast Enhanced CT (CECT) was performed with a 16 slice MDCT scanner pre and postcontrast administration. The benign and malignant lesions were evaluated by their enhancement patterns, necrosis, bony and vascular invasion and extension to adjacent neck space. The results were compared with FNAC being considered the gold standard, sensitivity and accuracy of CT was determined. The collected data was analysed with International Business Machines (IBM) Statistical Package for Social Sciences (SPSS) Version 23.0. Results: Of the total 95 patients who were enrolled in to the study, 38 patients were females and 57 patients were males, the mean age of the subjects studied were 45.1±17.4 years, 67 cases were benign lesions and 28 cases were malignant lesions by FNA. The sensitivity and specificity of MDCT was found to be 78.6% and 95.5%, respectively with a Positive Predictive Value (PPV) of 88.0% and Negative Predictive Value (NPV) 0f 91.4%. Conclusion: MDCT is precise in differentiating malignant from benign lesions of the neck and defining the extent of the lesions and involvement of adjacent structures.

Background CT chest has become the front-line investigation even for a Real-time polymerase chain reaction (RT-PCR) negative patient due to low viral load. Many grading systems were formulated to assess the severity of lung involvement and combined with inflammatory markers like ferritin (Fr) and C reactive protein (CRP) to provide a guide for diagnosing and managing COVID patients. Methods After being tested with RT-PCR, Severe acute respiratory syndrome coronavirus -2(SARS-CoV-2) patients who were referred for CT were included in our study. A non-contrast CT scan of the chest was obtained with 16 slice -Toshiba with 1mm collimation. Findings documented included the presence and extent of ground glass opacities; consolidation whether round, linear, patchy, lobar, or diffuse; septal thickening; and other features of pre-existing diseases like cavity, bronchiectasis, pleural effusion, and cardiomegaly. CT staging was done based on the progress of the disease and compared with biochemical parameters. Results 571 patients; between the ages of 19 and 88 suspected to have Coronavirus pneumonia were included in the study. CT stages were compared with the median value of LDH, Fr, TGL, AND CRP All biochemical parameters LDH 692 (438.5 -771 ) (p-value 0.0001), Fr 1.27 (0.64 -1.89) (p-value 0.0001), and CRP (113.4 (95.5 2-207.7 ) (p-value 0.0001), were elevated in higher CT stages. Both elevated biochemical parameters and higher CT stages were associated with the severity and mortality of the disease. No significant p-value was noted with TGL. Conclusions Covid 19 pneumonia starts as a respiratory infection but spreads to become a systemic disease. The inflammation is associated with an increase in biochemical parameters which correlate with the staging of the lung by CT and in dead patients.