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The diagnostic value of apparent diffusion coefficient to differentiate benign and malignant meningiomas

Universa Medicina · Vol. 40 No. 2 (2021) · hlm. 138–147

DOI
10.18051/UnivMed.2021.v40.141-150
ISSN
2407-2230, 1907-3062
Terbit
2021-07-26
Penerbit
Faculty of Medicine, Universitas Trisakti
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-sa/4.0

Abstrak

BACKGROUNDMeningiomas are the most common primary extra-axial non-glial intracranial tumors. The severe grade of meningioma, according to WHO, has the highest recurrence rate accompanied by high morbidity and mortality rates. Therefore, it is imperative to perform pre-operative assessments so the clinician can give prompt treatment to gain a better prognosis. It is a novel alternative way of predicting meningioma’s malignancy by calculating the tumor’s apparent diffusion coefficient (ADC) value. The objective of the study was to determine the value of ADC for differentiating benign and malignant meningiomas. METHODSThis cross-sectional study involved 32 subjects with clinically diagnosed or histologically verified meningioma (21 benign and 11 malignant). They underwent a head-magnetic resonance imaging (MRI) examination and biopsy. We calculated the ADC value by creating regions of interest (ROIs) on the solid part of the tumor, guided by contrast and fluid-attenuated inversion recovery (FLAIR) sequence. We analyzed the ADC value with independent t-test and Bland-Altman graphs, calculated the average difference, CI 95%, limit of agreement between observers, and ROC. RESULTSMean ADC of malignant meningiomas (0.877 ± 0.167 x 10-3 mm2/s) was significantly lower than that of benign meningiomas (0.990 ± 0.105 x 10-3 mm2/s) (p<0.05). The ADC threshold is 0.886 x 10-3 mm2/s with sensitivity 63.6%, specificity 85.7%, positive predictive value 70% and negative predictive value 81.8%. CONCLUSIONThe ADC value measurement provides a discriminative feature to differentiate between benign and malignant meningiomas. However, the clinical applicability still needs to be elucidated, as histopathological confirmation remains the mainstay of definitive diagnosis.

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  • Sebelas Maret University
  • Institut National des Sciences Appliquées Centre Val de Loire
  • Diponegoro University
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Rekan penulisOrganisasiArtikel bersama
Stefanus Erdana PutraSebelas Maret University4
Muhammad HafizhanSebelas Maret University4
Diah Kurnia MirawatiSebelas Maret University3
Rivan DanuajiSebelas Maret University3
Ira RistinawatiSebelas Maret University2
Hanindia Riani PrabaningtyasSebelas Maret University2
Raden Andi Ario TedjoSebelas Maret University2
Pepi BudiantoSebelas Maret University2
Baarid Luqman HamidiSebelas Maret University2
Teddy TejomuktiSebelas Maret University2
Lestari HandayaniInstitut National des Sciences Appliquées Centre Val de Loire1
Lawly Arrel Dionnie GreatalyaAfiliasi tidak diketahui1
Suroto SurotoDiponegoro University1
Ervina Arta Jayanti HutabaratSebelas Maret University1
Yetty HambarsariSebelas Maret University1
Vivienne TjungSebelas Maret University1
Christopher Daniel TristanSebelas Maret University1
Muhammad Farid HamkaSebelas Maret University1
Awalil Rifqi Kurnia RahmanSebelas Maret University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://univmed.org/ejurnal/index.php/medicina/oai, pertama di-harvest 10 Nov 2026, terakhir terlihat 10 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">The diagnostic value of apparent diffusion coefficient to differentiate benign and malignant meningiomas</dc:title>
	<dc:creator xml:lang="en">Marissa, Risa</dc:creator>
	<dc:creator xml:lang="en">Rahayu, Rachmi Fauziah</dc:creator>
	<dc:creator xml:lang="en">Wujoso, Hari</dc:creator>
	<dc:creator xml:lang="en">Subandi, Subandi</dc:creator>
	<dc:creator xml:lang="en">Putro, Prasetyo Sarwono</dc:creator>
	<dc:creator xml:lang="en">Soewondo, Widiastuti</dc:creator>
	<dc:subject xml:lang="en">Meningioma</dc:subject>
	<dc:subject xml:lang="en">apparent diffusion coefficient</dc:subject>
	<dc:subject xml:lang="en">magnetic resonance imaging</dc:subject>
	<dc:subject xml:lang="en">histopathological grade</dc:subject>
	<dc:description xml:lang="en">BACKGROUNDMeningiomas are the most common primary extra-axial non-glial intracranial tumors. The severe grade of meningioma, according to WHO, has the highest recurrence rate accompanied by high morbidity and mortality rates. Therefore, it is imperative to perform pre-operative assessments so the clinician can give prompt treatment to gain a better prognosis. It is a novel alternative way of predicting meningioma’s malignancy by calculating the tumor’s apparent diffusion coefficient (ADC) value. The objective of the study was to determine the value of ADC for differentiating benign and malignant meningiomas.
METHODSThis cross-sectional study involved 32 subjects with clinically diagnosed or histologically verified meningioma (21 benign and 11 malignant). They underwent a head-magnetic resonance imaging (MRI) examination and biopsy. We calculated the ADC value by creating regions of interest (ROIs) on the solid part of the tumor, guided by contrast and fluid-attenuated inversion recovery (FLAIR) sequence. We analyzed the ADC value with independent t-test and Bland-Altman graphs, calculated the average difference, CI 95%, limit of agreement between observers, and ROC.
RESULTSMean ADC of malignant meningiomas (0.877 ± 0.167 x 10-3 mm2/s) was significantly lower than that of benign meningiomas (0.990 ± 0.105 x 10-3 mm2/s) (p&amp;lt;0.05). The ADC threshold is 0.886 x 10-3 mm2/s with sensitivity 63.6%, specificity 85.7%, positive predictive value 70% and negative predictive value 81.8%.
CONCLUSIONThe ADC value measurement provides a discriminative feature to differentiate between benign and malignant meningiomas. However, the clinical applicability still needs to be elucidated, as histopathological confirmation remains the mainstay of definitive diagnosis.</dc:description>
	<dc:publisher xml:lang="en">Faculty of Medicine, Universitas Trisakti</dc:publisher>
	<dc:date>2021-07-26</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://univmed.org/ejurnal/index.php/medicina/article/view/1117</dc:identifier>
	<dc:identifier>10.18051/UnivMed.2021.v40.141-150</dc:identifier>
	<dc:source xml:lang="en">Universa Medicina; Vol. 40 No. 2 (2021); 138-147</dc:source>
	<dc:source>2407-2230</dc:source>
	<dc:source>1907-3062</dc:source>
	<dc:source>10.18051/UnivMed.2021.v40.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://univmed.org/ejurnal/index.php/medicina/article/view/1117/666</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2021 Risa Marissa, Rachmi Fauziah Rahayu, Hari Wujoso, Subandi Subandi, Prasetyo Sarwono Putro, Widiastuti Soewondo</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>