A study of diagnostic accuracy of multimodal magnetic resonance imaging in brain tumors

Journal Title: MedPulse -International Medical Journal - Year 2014, Vol 1, Issue 11

Abstract

Introduction: The MRI techniques are constantly improving. Hence, the human body analysis reproduced in the anatomophysiological and functional study techniques contributed to the advancement of care of brain tumors.Methodology :This was a cross-sectional study carried out at the Radiology depart of Tertiary health care center . All the Patients with the Space occupying lesions were referred to Radiology department was included into the study during the one year period from March 2015 to March 2016. All the patients which were include were examined with conventional MR sequences, DWI, and with PWI and/or MRS. The concordance between the diagnoses obtained with multimodal MRI and with the conventional MR sequences, and the final diagnosis obtained by biopsy after the Surgical removal of the Mass . The Diagnostic accuracy was estimated with the help of Sensitivity and Specificity and Positive predictive Value and Negative Predictive Value .Result:The majority of the patients were from the age group of >60 i.e. 28.88% followed by 50-60-24.44%;40-50-20.00%; 30-40-15.55%; 20-30-6.66%;10-20-4.44%.The majority of the Patients were Male i.e. 64.44% as compared to Females 35.55%.The Sensitivity of MMRI was 92.68% and Specificity was 75% , Positive predictive value is 97.43% and Negative Predictive Value is 50%. Conclusion: The Diagnostic Accuracy of the MMRI is very high as the Sensitivity was 92.68% and Specificity was 75%, Positive predictive value is 97.43% and Negative Predictive Value is 50%. So the MMRI should be used to Detect the Space occupying lesions for differentiation of Neoplastic or no non neoplastic lesion of brain.

Authors and Affiliations

Anil Baliram Bonde, Kiran Choldas Patil

Keywords

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  • EP ID EP190278
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How To Cite

Anil Baliram Bonde, Kiran Choldas Patil (2014). A study of diagnostic accuracy of multimodal magnetic resonance imaging in brain tumors. MedPulse -International Medical Journal, 1(11), 708-710. https://europub.co.uk/articles/-A-190278