Diagnostic Accuracy of Susceptibility Weighted Magnetic Resonance Imaging for Glioblastoma Diagnosis
Mahnaz Baloch
Department of Radiology, Teaching Hospital Turbat, KECH, Pakistan.
Abid Ali Sahito
Department of Radiology, LUMHS, Jamshoro, Pakistan.
Mohsin Hussain
Department of Radiology, Pir Syed Abdul Qadir Shah Jeelani Institute of Medical Sciences Gambat Khairpur, Pakistan.
Asma Jatoi
Department of Radiology, LUMHS, Jamshoro, Pakistan.
Nazia Azeem
Department of Radiology, Sir Syed College of Medical Sciences for Girls, Karachi, Pakistan.
Zeeshan Ahmed Shah
Department of Neuro Surgery, LUMHS, Jamshoro, Pakistan.
*Author to whom correspondence should be addressed.
Abstract
Objective: To determine the ddiagnostic accuracy of susceptibility weighted magnetic resonance imaging (SW-MRI) for glioblastoma diagnosis by taking biopsy as gold standard.
Material and Methods: This cross-sectional study was done at department of Radiology, Jinnah Postgraduate Medical Center (JPMC), Karachi from June to December 2017. Total 114 cases with focal neurological deficit, seizures, stroke and CT scan findings of a mass with irregular thick margins and symptoms of increased intracranial pressure were enrolled. All the study subjects undergone SWI MRI. Brain biopsy was done during the same period of hospitalization. All the data was collected by study proforma and analysis of data was done by SPSS version 26
Results: Total 114 cases were studied and mean age of the cases was 50.64+10.37 years. Males were in majority 60.5% and females were 39.5%. Lesion average size was 4.34 cm. Glioblastoma was diagnosed among 68.4% cases on SW-MRI, while its was diagnosed among 71.1% study subjects by biopsy. SW-MRI showed sensitivity 90.1%, specificity 84.8%, PPV 93.5%, NPV 77.7% and diagnostic accuracy was found 88.59%.
Conclusion: The SW-MRI was observed to be the best diagnostic tool for glioblastoma with diagnostic accuracy of 88.59%, sensitivity 90.1% and specificity 84.8%. This diagnostic tool may helpful to indorse the expected diagnosis in clinical practice.
Keywords: Glioblastoma, uncomplicated diagnostic tool