Jamkhana Abdul Gafoor, Onteddu Joji Reddy, Balla Suresh, Harinath D, Bandi Arun Kumar
2017 Journal of Evolution of Medical and Dental Sciences  
BACKGROUND Although CNS tumours are not common (<1.5% of all cancers) in comparison with tumours of other organs (e.g., lung, breast, or colon), they deserve a unique position in tumour oncology because of their histopathologic complexity and biologic behaviour. Topographical and histological classifications, as well as correlations of topography to pathology, serve for the better studying, understanding, and handling of brain tumours. Aim-This study was undertaken to study the imaging findings
more » ... of intracranial tumours and to compare them with the histopathological diagnosis. MATERIALS AND METHODS This is a prospective study, a minimum of 50 patients with signs and symptoms of intracranial tumours referred to the Department of Radiodiagnosis in Kurnool Medical College. All the patients with suspected intracranial tumours underwent Plain and Contrast Computed tomography of Brain on 16 slice GE bright speed CT. Plain and contrast MRI was done for all the patients on XGY 0.35 Tesla. Histopathology examination was done by using Haematoxylin & Eosin stain in the Department of Pathology, Kurnool Medical College. Inclusion Criteria-Patients with signs and symptoms of intracranial tumours between all the age groups are included. Exclusion Criteria-Patients for whom CT or MRI could not be performed due to raised serum creatinine levels, pregnancy, claustrophobia, metal implants and cardiac pacemakers. Patients for whom surgery or HPE was not done are excluded. RESULTS In the present study out of 50 cases, meningiomas accounted for 18 cases, followed by Astrocytomas accounting for 17 cases and Schwannoma and Tuberculomas with 3 cases each. There are 2 cases of Pituitary macroadenoma, 2 cases of craniopharyngioma, one case of oligoastrocytoma, oligodendroglioma/Subependymoma, secondaries, medulloblastoma each. The Sensitivity, Specificity, Positive predictive value, Negative predictive value and p value of CT are 95.35%, 28.57%, 89.13%, and 50%, 0.03 (significant) respectively. The Sensitivity, Specificity, Positive predictive value, Negative predictive value and p value of MRI are 97.78%, 40%, 93.16%, 66%, 0.0007 (significant) respectively. CONCLUSION Imaging plays an important role in the diagnosis of intracranial tumours. Compared to CT, MRI has a greater role in accurately diagnosing the intracranial tumours with few false negative and false positive cases.
doi:10.14260/jemds/2017/1251 fatcat:jendosn73ra7tfz4yy2oqw3lce