Cargando…
Diagnostic accuracy of magnetic resonance imaging in detection of intra-axial gliomas
OBJECTIVE: To evaluate the diagnostic accuracy of magnetic resonance imaging (MRI) in detection of intra-axial gliomas in suspected cases keeping histopathology as gold standard. METHODS: This cross-sectional study was conducted at Dow Institute of Radiology, DUHS from October 2017 - April 2018. Pat...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Professional Medical Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794124/ https://www.ncbi.nlm.nih.gov/pubmed/33437263 http://dx.doi.org/10.12669/pjms.37.1.2489 |
_version_ | 1783634142651482112 |
---|---|
author | Munir, Sohbia Khan, Sohail Ahmed Hanif, Hina Khan, Maria |
author_facet | Munir, Sohbia Khan, Sohail Ahmed Hanif, Hina Khan, Maria |
author_sort | Munir, Sohbia |
collection | PubMed |
description | OBJECTIVE: To evaluate the diagnostic accuracy of magnetic resonance imaging (MRI) in detection of intra-axial gliomas in suspected cases keeping histopathology as gold standard. METHODS: This cross-sectional study was conducted at Dow Institute of Radiology, DUHS from October 2017 - April 2018. Patients of either gender aged 30-70 years presenting with headache were included. Patients already diagnosed and referred for follow up were excluded. MRI was performed on 1.5T scanner by a trained MRI technician. T1, T2, FLAIR, diffusion weighted and T1 post contrast images were acquired and reviewed by two radiologists having more than five years post fellowship experience. Sensitivity, specificity, PPV, NPV and diagnostic accuracy of MRI for intraaxial gliomas was calculated taking histopathology findings as gold standard. RESULTS: Mean age of the patient`s was 51.71 ±10.85 years. Positive intraaxial gliomas on MRI were observed in 123 (79.90%) patients while on histopathology, positive intraaxial gliomas were observed in 131 (85.10%) patients. Diagnostic accuracy of MRI in detection of intra-axial gliomas taking histopathology findings as gold standard showed sensitivity, specificity, positive predicted value (PPV), negative predicted value (NPV) and overall diagnostic accuracy as 89.31%, 73.91%, 95.12%, 54.84% and 87.01%. CONCLUSIONS: MRI has high sensitivity, moderate specificity and high diagnostic accuracy in detection of intraaxial gliomas. |
format | Online Article Text |
id | pubmed-7794124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Professional Medical Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-77941242021-01-11 Diagnostic accuracy of magnetic resonance imaging in detection of intra-axial gliomas Munir, Sohbia Khan, Sohail Ahmed Hanif, Hina Khan, Maria Pak J Med Sci Original Article OBJECTIVE: To evaluate the diagnostic accuracy of magnetic resonance imaging (MRI) in detection of intra-axial gliomas in suspected cases keeping histopathology as gold standard. METHODS: This cross-sectional study was conducted at Dow Institute of Radiology, DUHS from October 2017 - April 2018. Patients of either gender aged 30-70 years presenting with headache were included. Patients already diagnosed and referred for follow up were excluded. MRI was performed on 1.5T scanner by a trained MRI technician. T1, T2, FLAIR, diffusion weighted and T1 post contrast images were acquired and reviewed by two radiologists having more than five years post fellowship experience. Sensitivity, specificity, PPV, NPV and diagnostic accuracy of MRI for intraaxial gliomas was calculated taking histopathology findings as gold standard. RESULTS: Mean age of the patient`s was 51.71 ±10.85 years. Positive intraaxial gliomas on MRI were observed in 123 (79.90%) patients while on histopathology, positive intraaxial gliomas were observed in 131 (85.10%) patients. Diagnostic accuracy of MRI in detection of intra-axial gliomas taking histopathology findings as gold standard showed sensitivity, specificity, positive predicted value (PPV), negative predicted value (NPV) and overall diagnostic accuracy as 89.31%, 73.91%, 95.12%, 54.84% and 87.01%. CONCLUSIONS: MRI has high sensitivity, moderate specificity and high diagnostic accuracy in detection of intraaxial gliomas. Professional Medical Publications 2021 /pmc/articles/PMC7794124/ /pubmed/33437263 http://dx.doi.org/10.12669/pjms.37.1.2489 Text en Copyright: © Pakistan Journal of Medical Sciences http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Munir, Sohbia Khan, Sohail Ahmed Hanif, Hina Khan, Maria Diagnostic accuracy of magnetic resonance imaging in detection of intra-axial gliomas |
title | Diagnostic accuracy of magnetic resonance imaging in detection of intra-axial gliomas |
title_full | Diagnostic accuracy of magnetic resonance imaging in detection of intra-axial gliomas |
title_fullStr | Diagnostic accuracy of magnetic resonance imaging in detection of intra-axial gliomas |
title_full_unstemmed | Diagnostic accuracy of magnetic resonance imaging in detection of intra-axial gliomas |
title_short | Diagnostic accuracy of magnetic resonance imaging in detection of intra-axial gliomas |
title_sort | diagnostic accuracy of magnetic resonance imaging in detection of intra-axial gliomas |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794124/ https://www.ncbi.nlm.nih.gov/pubmed/33437263 http://dx.doi.org/10.12669/pjms.37.1.2489 |
work_keys_str_mv | AT munirsohbia diagnosticaccuracyofmagneticresonanceimagingindetectionofintraaxialgliomas AT khansohailahmed diagnosticaccuracyofmagneticresonanceimagingindetectionofintraaxialgliomas AT hanifhina diagnosticaccuracyofmagneticresonanceimagingindetectionofintraaxialgliomas AT khanmaria diagnosticaccuracyofmagneticresonanceimagingindetectionofintraaxialgliomas |