Differentiation of Low-Grade and High-Grade Glioma Using the Combination of Conventional Magnetic Resonance Imaging and Apparent Diffusion Coefficient Value
BACKGROUND: The conventional magnetic resonance imaging (cMRI) and apparent diffusion coefficient (ADC) may have a role in predicting tumor grade for gliomas and may in turn assist in identifying tumor biopsy sites. In this study, we aimed to determine the added value of a joint approach of diffusio...
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doaj-660a08575d6c43ef88966b4c645bdc962021-03-01T03:20:56ZengSecretariat of The Indonesian Biomedical JournalIndonesian Biomedical Journal2085-32972355-91792020-03-01121697710.18585/inabj.v12i1.996346Differentiation of Low-Grade and High-Grade Glioma Using the Combination of Conventional Magnetic Resonance Imaging and Apparent Diffusion Coefficient ValueRahmad Mulyadi0Mochammad Hatta1Andi Asadul Islam2Bachtiar Murtala3Jumraini Tammase4Reninda Ananda Aman5Eka Susanto6Neuroradiology Division, Department of Radiology, Faculty of Medicine, Universitas Indonesia – Cipto Mangunkusumo National Central General Hospital, Jl. Diponegoro No.71, Jakarta Pusat, JakartaMolecular Biology and Immunology Laboratory, Faculty of Medicine, Universitas Hasanuddin, Jl. Perintis Kemerdekaan KM 10, MakassarDepartment of Neurosurgery, Faculty of Medicine, Universitas Hasanuddin, Jl. Perintis Kemerdekaan KM 10, MakassarDepartment of Radiology, Faculty of Medicine, Universitas Hasanuddin, Jl. Perintis Kemerdekaan KM 10, MakassarDepartment of Neurology, Faculty of Medicine, Universitas Hasanuddin, Jl. Perintis Kemerdekaan KM 10, MakassarDepartment of Neurosurgery, Faculty of Medicine, Universitas Indonesia – Cipto Mangunkusumo National Central General Hospital, Jl. Diponegoro No.71, Jakarta Pusat, Jakarta7Department of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia – Cipto Mangunkusumo National Central General Hospital, Jl. Diponegoro No.71, Jakarta Pusat, JakartaBACKGROUND: The conventional magnetic resonance imaging (cMRI) and apparent diffusion coefficient (ADC) may have a role in predicting tumor grade for gliomas and may in turn assist in identifying tumor biopsy sites. In this study, we aimed to determine the added value of a joint approach of diffusion-weighted imaging (DWI) and cMRI to determine of low grade and high-grade glioma, compare to cMRI alone. METHODS: Data were collected from 56 glioma patients, who underwent examinations and received treatment at Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia, from the period of 2015–2018. Inclusion criteria was patients who underwent cMRI with a DWIADC sequence and patient that were diagnosed with glioma according to the histopathological results. Pathology reports of the imaging results were reviewed independently. A receiver operator curve (ROC) analysis assessed the predictive potential of cMRI and ADC values for low-grade and high-grade gliomas. RESULTS: Fifty-six subjects met the inclusion criteria. The combination of MRI and ADC values increased sensitivity (to 90%) and negative predictive value (to 92.9%), and also improved the negative likelihood ratio (to 0.14). However, the combination of MRI and ADC values had the highest area under the curve (78.6%) and sensitivity (78.6%), which was similar to the separated examination. CONCLUSION: The combination of ADC value and conventional MRI increases sensitivity in differentiating low-grade and high-grade glioma compared to separated examination. KEYWORDS: glioma, conventional MRI, ADC valuehttps://inabj.org/index.php/ibj/article/view/996 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rahmad Mulyadi Mochammad Hatta Andi Asadul Islam Bachtiar Murtala Jumraini Tammase Reninda Ananda Aman Eka Susanto |
spellingShingle |
Rahmad Mulyadi Mochammad Hatta Andi Asadul Islam Bachtiar Murtala Jumraini Tammase Reninda Ananda Aman Eka Susanto Differentiation of Low-Grade and High-Grade Glioma Using the Combination of Conventional Magnetic Resonance Imaging and Apparent Diffusion Coefficient Value Indonesian Biomedical Journal |
author_facet |
Rahmad Mulyadi Mochammad Hatta Andi Asadul Islam Bachtiar Murtala Jumraini Tammase Reninda Ananda Aman Eka Susanto |
author_sort |
Rahmad Mulyadi |
title |
Differentiation of Low-Grade and High-Grade Glioma Using the Combination of Conventional Magnetic Resonance Imaging and Apparent Diffusion Coefficient Value |
title_short |
Differentiation of Low-Grade and High-Grade Glioma Using the Combination of Conventional Magnetic Resonance Imaging and Apparent Diffusion Coefficient Value |
title_full |
Differentiation of Low-Grade and High-Grade Glioma Using the Combination of Conventional Magnetic Resonance Imaging and Apparent Diffusion Coefficient Value |
title_fullStr |
Differentiation of Low-Grade and High-Grade Glioma Using the Combination of Conventional Magnetic Resonance Imaging and Apparent Diffusion Coefficient Value |
title_full_unstemmed |
Differentiation of Low-Grade and High-Grade Glioma Using the Combination of Conventional Magnetic Resonance Imaging and Apparent Diffusion Coefficient Value |
title_sort |
differentiation of low-grade and high-grade glioma using the combination of conventional magnetic resonance imaging and apparent diffusion coefficient value |
publisher |
Secretariat of The Indonesian Biomedical Journal |
series |
Indonesian Biomedical Journal |
issn |
2085-3297 2355-9179 |
publishDate |
2020-03-01 |
description |
BACKGROUND: The conventional magnetic resonance imaging (cMRI) and apparent diffusion coefficient (ADC) may have a role in predicting tumor grade for gliomas and may in turn assist in identifying tumor biopsy sites. In this study, we aimed to determine the added value of a joint approach of diffusion-weighted imaging (DWI) and cMRI to determine of low grade and high-grade glioma, compare to cMRI alone.
METHODS: Data were collected from 56 glioma patients, who underwent examinations and received treatment at Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia, from the period of 2015–2018. Inclusion criteria was patients who underwent cMRI with a DWIADC sequence and patient that were diagnosed with glioma according to the histopathological results. Pathology reports of the imaging results were reviewed independently. A receiver operator curve (ROC) analysis assessed the predictive potential of cMRI and ADC values for low-grade and high-grade gliomas.
RESULTS: Fifty-six subjects met the inclusion criteria. The combination of MRI and ADC values increased sensitivity (to 90%) and negative predictive value (to 92.9%), and also improved the negative likelihood ratio (to 0.14). However, the combination of MRI and ADC values had the highest area under the curve (78.6%) and sensitivity (78.6%), which was similar to the separated examination.
CONCLUSION: The combination of ADC value and conventional MRI increases sensitivity in differentiating low-grade and high-grade glioma compared to separated examination.
KEYWORDS: glioma, conventional MRI, ADC value |
url |
https://inabj.org/index.php/ibj/article/view/996 |
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