Assessment of Diagnostic Accuracy of MRI in Diagnosing and Characterizing Intra-axial Brain Gliomas

Background: Magnetic Resonance Imaging (MRI) has emerged as most prevailing noninvasive radiological modality for the diagnosis of brain tumor, its prognosis, therapeutic assessment, observation of progression or regression of disease and planning of neurosurgical approaches. Objective: To assess th...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Pakistan journal of medical research 2021-12, Vol.60 (4), p.189
Hauptverfasser: Mushtaq, Memoona, Arooj, Sadaf, Khaliq, Maria, Riffat Raja, Iqbal, Seerat
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 4
container_start_page 189
container_title Pakistan journal of medical research
container_volume 60
creator Mushtaq, Memoona
Arooj, Sadaf
Khaliq, Maria
Riffat Raja
Iqbal, Seerat
description Background: Magnetic Resonance Imaging (MRI) has emerged as most prevailing noninvasive radiological modality for the diagnosis of brain tumor, its prognosis, therapeutic assessment, observation of progression or regression of disease and planning of neurosurgical approaches. Objective: To assess the diagnostic accuracy of MRI in diagnosing and characterizing intra-axial brain gliomas taking histopathology as a gold standard. Study type, settings and duration: This prospective research was conducted in the Department of Radiology at Jinnah Hospital, Lahore from March 2016 to August 2016. Methodology: Two hundred patients with space occupying lesions diagnosed on CT scan of age 3 months to 65 years of either gender were included. Pregnant women and contraindication to MRI were omitted. The MRI of all other patients using 1.5 Tesla MR System with a gradient strength of 33 mT/m was performed. MRI study was interpreted by assessing the features favouring malignancy or benignity of gliomas. MRI findings were compared with the histopathology reports. Results: Mean age was 44.41±7.52 years. Among these 200 patients, 113 (56.50%) were male patients and 87 (43.50%) were female patients making male to female ratio of 1.2:1. In MRI positive patients, 89 were found to be true positive patients while 23 were found to be false positive patients. Among 88 MRI negative patients, 74 were true negative (p =0.367) whereas 14 came out to be False Negative. Overall sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of MRI in diagnosing malignant cerebral glioma were 86.41%, 76.29%, 79.46%, 84.09% and 81.50% respectively. Conclusion: This study demonstrated that MRI is the non-invasive imaging modality of choice with high diagnostic accuracy in diagnosing malignant cerebral gliomas, and has not only radically improved our ability of distinguishing benign and malignant brain tumor pre-operatively but also aids the surgeons for appropriate decision-making.
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2728414418</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A712310620</galeid><sourcerecordid>A712310620</sourcerecordid><originalsourceid>FETCH-LOGICAL-g958-297fd3294d4482f1802338efc82221d81494bf51319d487d1bc70c87876ef8703</originalsourceid><addsrcrecordid>eNptkE1LxDAQhntQcF39DwHPlXx1Mz3WquvCiiB7L9l81Cxtok0L6q83ZRU9yBwG3nnmfYc5yRYYM5yXwOlZdh7jAeNCEMoXmapiNDH2xo8oWHTrZOtDHJ1ClVLTINXHLD8-b5DzP1PnWyS9RvWLTMBoBvc5Sxs_DjKX70526GaQiV93LvQyXmSnVnbRXH73Zba7v9vVD_n2ab2pq23elgXktBRWM1pyzTlQSwBTxsBYBZRSooHwku9tQRgpNQehyV4JrECAWBkLArNldnW0fR3C22Ti2BzCNPiU2FBBgRPOCfxSrexM47wN6WrVu6iaKr2EEbyis9f1P1QqbXqngjfWJf3PwhdT6Gn5</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2728414418</pqid></control><display><type>article</type><title>Assessment of Diagnostic Accuracy of MRI in Diagnosing and Characterizing Intra-axial Brain Gliomas</title><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Mushtaq, Memoona ; Arooj, Sadaf ; Khaliq, Maria ; Riffat Raja ; Iqbal, Seerat</creator><creatorcontrib>Mushtaq, Memoona ; Arooj, Sadaf ; Khaliq, Maria ; Riffat Raja ; Iqbal, Seerat</creatorcontrib><description>Background: Magnetic Resonance Imaging (MRI) has emerged as most prevailing noninvasive radiological modality for the diagnosis of brain tumor, its prognosis, therapeutic assessment, observation of progression or regression of disease and planning of neurosurgical approaches. Objective: To assess the diagnostic accuracy of MRI in diagnosing and characterizing intra-axial brain gliomas taking histopathology as a gold standard. Study type, settings and duration: This prospective research was conducted in the Department of Radiology at Jinnah Hospital, Lahore from March 2016 to August 2016. Methodology: Two hundred patients with space occupying lesions diagnosed on CT scan of age 3 months to 65 years of either gender were included. Pregnant women and contraindication to MRI were omitted. The MRI of all other patients using 1.5 Tesla MR System with a gradient strength of 33 mT/m was performed. MRI study was interpreted by assessing the features favouring malignancy or benignity of gliomas. MRI findings were compared with the histopathology reports. Results: Mean age was 44.41±7.52 years. Among these 200 patients, 113 (56.50%) were male patients and 87 (43.50%) were female patients making male to female ratio of 1.2:1. In MRI positive patients, 89 were found to be true positive patients while 23 were found to be false positive patients. Among 88 MRI negative patients, 74 were true negative (p =0.367) whereas 14 came out to be False Negative. Overall sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of MRI in diagnosing malignant cerebral glioma were 86.41%, 76.29%, 79.46%, 84.09% and 81.50% respectively. Conclusion: This study demonstrated that MRI is the non-invasive imaging modality of choice with high diagnostic accuracy in diagnosing malignant cerebral gliomas, and has not only radically improved our ability of distinguishing benign and malignant brain tumor pre-operatively but also aids the surgeons for appropriate decision-making.</description><identifier>ISSN: 0030-9842</identifier><language>eng</language><publisher>Islamabad: Knowledge Bylanes</publisher><subject>Accuracy ; Age ; Brain cancer ; Brain research ; Brain tumors ; Chemotherapy ; Diagnosis ; Glioma ; Gliomas ; Histopathology ; Laws, regulations and rules ; Magnetic resonance imaging ; Patients ; Spectrum analysis ; Statistical analysis ; Tumors ; Variables</subject><ispartof>Pakistan journal of medical research, 2021-12, Vol.60 (4), p.189</ispartof><rights>COPYRIGHT 2021 Knowledge Bylanes</rights><rights>(c)2021 Pakistan Journal of Medical Research</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Mushtaq, Memoona</creatorcontrib><creatorcontrib>Arooj, Sadaf</creatorcontrib><creatorcontrib>Khaliq, Maria</creatorcontrib><creatorcontrib>Riffat Raja</creatorcontrib><creatorcontrib>Iqbal, Seerat</creatorcontrib><title>Assessment of Diagnostic Accuracy of MRI in Diagnosing and Characterizing Intra-axial Brain Gliomas</title><title>Pakistan journal of medical research</title><description>Background: Magnetic Resonance Imaging (MRI) has emerged as most prevailing noninvasive radiological modality for the diagnosis of brain tumor, its prognosis, therapeutic assessment, observation of progression or regression of disease and planning of neurosurgical approaches. Objective: To assess the diagnostic accuracy of MRI in diagnosing and characterizing intra-axial brain gliomas taking histopathology as a gold standard. Study type, settings and duration: This prospective research was conducted in the Department of Radiology at Jinnah Hospital, Lahore from March 2016 to August 2016. Methodology: Two hundred patients with space occupying lesions diagnosed on CT scan of age 3 months to 65 years of either gender were included. Pregnant women and contraindication to MRI were omitted. The MRI of all other patients using 1.5 Tesla MR System with a gradient strength of 33 mT/m was performed. MRI study was interpreted by assessing the features favouring malignancy or benignity of gliomas. MRI findings were compared with the histopathology reports. Results: Mean age was 44.41±7.52 years. Among these 200 patients, 113 (56.50%) were male patients and 87 (43.50%) were female patients making male to female ratio of 1.2:1. In MRI positive patients, 89 were found to be true positive patients while 23 were found to be false positive patients. Among 88 MRI negative patients, 74 were true negative (p =0.367) whereas 14 came out to be False Negative. Overall sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of MRI in diagnosing malignant cerebral glioma were 86.41%, 76.29%, 79.46%, 84.09% and 81.50% respectively. Conclusion: This study demonstrated that MRI is the non-invasive imaging modality of choice with high diagnostic accuracy in diagnosing malignant cerebral gliomas, and has not only radically improved our ability of distinguishing benign and malignant brain tumor pre-operatively but also aids the surgeons for appropriate decision-making.</description><subject>Accuracy</subject><subject>Age</subject><subject>Brain cancer</subject><subject>Brain research</subject><subject>Brain tumors</subject><subject>Chemotherapy</subject><subject>Diagnosis</subject><subject>Glioma</subject><subject>Gliomas</subject><subject>Histopathology</subject><subject>Laws, regulations and rules</subject><subject>Magnetic resonance imaging</subject><subject>Patients</subject><subject>Spectrum analysis</subject><subject>Statistical analysis</subject><subject>Tumors</subject><subject>Variables</subject><issn>0030-9842</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkE1LxDAQhntQcF39DwHPlXx1Mz3WquvCiiB7L9l81Cxtok0L6q83ZRU9yBwG3nnmfYc5yRYYM5yXwOlZdh7jAeNCEMoXmapiNDH2xo8oWHTrZOtDHJ1ClVLTINXHLD8-b5DzP1PnWyS9RvWLTMBoBvc5Sxs_DjKX70526GaQiV93LvQyXmSnVnbRXH73Zba7v9vVD_n2ab2pq23elgXktBRWM1pyzTlQSwBTxsBYBZRSooHwku9tQRgpNQehyV4JrECAWBkLArNldnW0fR3C22Ti2BzCNPiU2FBBgRPOCfxSrexM47wN6WrVu6iaKr2EEbyis9f1P1QqbXqngjfWJf3PwhdT6Gn5</recordid><startdate>20211231</startdate><enddate>20211231</enddate><creator>Mushtaq, Memoona</creator><creator>Arooj, Sadaf</creator><creator>Khaliq, Maria</creator><creator>Riffat Raja</creator><creator>Iqbal, Seerat</creator><general>Knowledge Bylanes</general><general>AsiaNet Pakistan (Pvt) Ltd</general><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20211231</creationdate><title>Assessment of Diagnostic Accuracy of MRI in Diagnosing and Characterizing Intra-axial Brain Gliomas</title><author>Mushtaq, Memoona ; Arooj, Sadaf ; Khaliq, Maria ; Riffat Raja ; Iqbal, Seerat</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g958-297fd3294d4482f1802338efc82221d81494bf51319d487d1bc70c87876ef8703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Accuracy</topic><topic>Age</topic><topic>Brain cancer</topic><topic>Brain research</topic><topic>Brain tumors</topic><topic>Chemotherapy</topic><topic>Diagnosis</topic><topic>Glioma</topic><topic>Gliomas</topic><topic>Histopathology</topic><topic>Laws, regulations and rules</topic><topic>Magnetic resonance imaging</topic><topic>Patients</topic><topic>Spectrum analysis</topic><topic>Statistical analysis</topic><topic>Tumors</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mushtaq, Memoona</creatorcontrib><creatorcontrib>Arooj, Sadaf</creatorcontrib><creatorcontrib>Khaliq, Maria</creatorcontrib><creatorcontrib>Riffat Raja</creatorcontrib><creatorcontrib>Iqbal, Seerat</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Pakistan journal of medical research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mushtaq, Memoona</au><au>Arooj, Sadaf</au><au>Khaliq, Maria</au><au>Riffat Raja</au><au>Iqbal, Seerat</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of Diagnostic Accuracy of MRI in Diagnosing and Characterizing Intra-axial Brain Gliomas</atitle><jtitle>Pakistan journal of medical research</jtitle><date>2021-12-31</date><risdate>2021</risdate><volume>60</volume><issue>4</issue><spage>189</spage><pages>189-</pages><issn>0030-9842</issn><abstract>Background: Magnetic Resonance Imaging (MRI) has emerged as most prevailing noninvasive radiological modality for the diagnosis of brain tumor, its prognosis, therapeutic assessment, observation of progression or regression of disease and planning of neurosurgical approaches. Objective: To assess the diagnostic accuracy of MRI in diagnosing and characterizing intra-axial brain gliomas taking histopathology as a gold standard. Study type, settings and duration: This prospective research was conducted in the Department of Radiology at Jinnah Hospital, Lahore from March 2016 to August 2016. Methodology: Two hundred patients with space occupying lesions diagnosed on CT scan of age 3 months to 65 years of either gender were included. Pregnant women and contraindication to MRI were omitted. The MRI of all other patients using 1.5 Tesla MR System with a gradient strength of 33 mT/m was performed. MRI study was interpreted by assessing the features favouring malignancy or benignity of gliomas. MRI findings were compared with the histopathology reports. Results: Mean age was 44.41±7.52 years. Among these 200 patients, 113 (56.50%) were male patients and 87 (43.50%) were female patients making male to female ratio of 1.2:1. In MRI positive patients, 89 were found to be true positive patients while 23 were found to be false positive patients. Among 88 MRI negative patients, 74 were true negative (p =0.367) whereas 14 came out to be False Negative. Overall sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of MRI in diagnosing malignant cerebral glioma were 86.41%, 76.29%, 79.46%, 84.09% and 81.50% respectively. Conclusion: This study demonstrated that MRI is the non-invasive imaging modality of choice with high diagnostic accuracy in diagnosing malignant cerebral gliomas, and has not only radically improved our ability of distinguishing benign and malignant brain tumor pre-operatively but also aids the surgeons for appropriate decision-making.</abstract><cop>Islamabad</cop><pub>Knowledge Bylanes</pub></addata></record>
fulltext fulltext
identifier ISSN: 0030-9842
ispartof Pakistan journal of medical research, 2021-12, Vol.60 (4), p.189
issn 0030-9842
language eng
recordid cdi_proquest_journals_2728414418
source DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals
subjects Accuracy
Age
Brain cancer
Brain research
Brain tumors
Chemotherapy
Diagnosis
Glioma
Gliomas
Histopathology
Laws, regulations and rules
Magnetic resonance imaging
Patients
Spectrum analysis
Statistical analysis
Tumors
Variables
title Assessment of Diagnostic Accuracy of MRI in Diagnosing and Characterizing Intra-axial Brain Gliomas
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T19%3A04%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessment%20of%20Diagnostic%20Accuracy%20of%20MRI%20in%20Diagnosing%20and%20Characterizing%20Intra-axial%20Brain%20Gliomas&rft.jtitle=Pakistan%20journal%20of%20medical%20research&rft.au=Mushtaq,%20Memoona&rft.date=2021-12-31&rft.volume=60&rft.issue=4&rft.spage=189&rft.pages=189-&rft.issn=0030-9842&rft_id=info:doi/&rft_dat=%3Cgale_proqu%3EA712310620%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2728414418&rft_id=info:pmid/&rft_galeid=A712310620&rfr_iscdi=true