Imaging of Intracranial Space Occupying Lesions: A Prospective Study in A Tertiary Care Centre in Northern India
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2
Abstract
Introduction: The high morbidity & mortality associated with ICSOLs necessitates their early diagnosis so as to plan the required intervention. Intracranial Space occupying lesions (ICSOL) can be neoplastic,inflammatory or infective in aetiology. Widely available imaging techniques, computed tomography (CT) & magnetic resonance imaging (MRI) are used to detect these lesions. This study was done to evaluate the ICSOL on neuroimaging & correlate the clinical findings with the radiological assessment.Methods: In this prospective cohort study, 80 patients with ICSOL were studied by CT & MRI. Imaging findings were evaluated & tabulated & correlated with the clinical findings & histopathological findings (wherever available). The findings were statistically analyzed. Results: Most patients were in age range of 31 – 50 years (mean 42.2 y). Male : females ratio was 3:2. Mostcommon presenting symptom was headache. Solitary lesions were present in 58 patients (72.5%) and multiple lesions in 22 patients (27.5%). 76.2% lesions were supratentorial & 23.7% infratentorial in location. 76.2% patients were having neoplastic lesions and 23.7% had non-neoplastic lesions. Metastases were the most common neoplastic lesion while among non neoplastic lesions, arachnoid cysts were the most common. Mass effect was the most common associated imaging finding. For neoplastic lesions the imaging sensitivity was 90%, specificity was 57%, accuracy was 84.2%, PPV was 90% and NPV was 57%. While for the non neoplastic lesions imaging sensitivity was 57%, specificity was 90%. accuracy was 84.2%, PPV was 57% and NPV was90% (95% CI). There was weak positive correlation (phi coefficient 0.41) between clinical and imaging findings. Conclusion: Neuroimaging in combination with clinical findings can be helpful in early diagnosis andlocalization of ICSOL. Imaging can be predictive of the aetiology of the ICSOL. Due to the small size and inherent bias in this study a larger epidemiological study is indicated.
Authors and Affiliations
Neha Jindal , Sameer R Verma , Prashant K Gupta , Mukta Mital
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