Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI

Detalhes bibliográficos
Autor(a) principal: El-Gerby,Khaled M.
Data de Publicação: 2017
Outros Autores: El-Anwar,Mohammad Waheed
Tipo de documento: Artigo
Idioma: eng
Título da fonte: International Archives of Otorhinolaryngology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-48642017000400358
Resumo: Abstract Introduction Appearance of nasal masses on routine CT and MRI are not pathognomonic. We utilized the apparent diffusion coefficient (ADC) value obtained from diffusion weighted image (DWI) to detect the differences in the microstructures of tumor and non-tumor tissues. Objective The objective of our study was to evaluate the diagnostic role of DWI and ADC values in differentiating between malignant and benign sinonasal lesions and its correlation with histopathological results as the reference standard. Methods Patients with nasal and / or paranasal mass underwent CT, MRI, and DWI before any surgical intervention.We used diagnostic sinonasal endoscopy and biopsy to confirm the diagnosis after MRI. Results When we used ADC value of (1.2 x 10 3 mm2/s) as a cut-off value for differentiating benign from malignant sinonasal lesions, we achieved 90% accuracy, 100% sensitivity, 88.4% specificity, 77.8% positive predictive value, and 100% negative predictive value. At this cut-off, benign lesions show statistically significant higher ADC value than malignant tumors. Conclusion DW MRI and ADC value calculation are promising quantitative methods helping to differentiate betweenmalignant and benign sinonasal lesions. Thus, they are effective methods compared with other conventionalmethods with short imaging time thus it is recommended to be incorporated into routine evaluations.
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spelling Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRIMRInosetumorsinusitisCT scanmagnetic resonance imagingAbstract Introduction Appearance of nasal masses on routine CT and MRI are not pathognomonic. We utilized the apparent diffusion coefficient (ADC) value obtained from diffusion weighted image (DWI) to detect the differences in the microstructures of tumor and non-tumor tissues. Objective The objective of our study was to evaluate the diagnostic role of DWI and ADC values in differentiating between malignant and benign sinonasal lesions and its correlation with histopathological results as the reference standard. Methods Patients with nasal and / or paranasal mass underwent CT, MRI, and DWI before any surgical intervention.We used diagnostic sinonasal endoscopy and biopsy to confirm the diagnosis after MRI. Results When we used ADC value of (1.2 x 10 3 mm2/s) as a cut-off value for differentiating benign from malignant sinonasal lesions, we achieved 90% accuracy, 100% sensitivity, 88.4% specificity, 77.8% positive predictive value, and 100% negative predictive value. At this cut-off, benign lesions show statistically significant higher ADC value than malignant tumors. Conclusion DW MRI and ADC value calculation are promising quantitative methods helping to differentiate betweenmalignant and benign sinonasal lesions. Thus, they are effective methods compared with other conventionalmethods with short imaging time thus it is recommended to be incorporated into routine evaluations.Fundação Otorrinolaringologia2017-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-48642017000400358International Archives of Otorhinolaryngology v.21 n.4 2017reponame:International Archives of Otorhinolaryngologyinstname:Fundação Otorrinolaringologia (FORL)instacron:FORL10.1055/s-0036-1597323info:eu-repo/semantics/openAccessEl-Gerby,Khaled M.El-Anwar,Mohammad Waheedeng2018-01-29T00:00:00Zoai:scielo:S1809-48642017000400358Revistahttps://www.scielo.br/j/iao/https://old.scielo.br/oai/scielo-oai.php||iaorl@iaorl.org||archives@internationalarchivesent.org||arquivos@forl.org.br1809-48641809-4864opendoar:2018-01-29T00:00International Archives of Otorhinolaryngology - Fundação Otorrinolaringologia (FORL)false
dc.title.none.fl_str_mv Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI
title Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI
spellingShingle Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI
El-Gerby,Khaled M.
MRI
nose
tumor
sinusitis
CT scan
magnetic resonance imaging
title_short Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI
title_full Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI
title_fullStr Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI
title_full_unstemmed Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI
title_sort Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI
author El-Gerby,Khaled M.
author_facet El-Gerby,Khaled M.
El-Anwar,Mohammad Waheed
author_role author
author2 El-Anwar,Mohammad Waheed
author2_role author
dc.contributor.author.fl_str_mv El-Gerby,Khaled M.
El-Anwar,Mohammad Waheed
dc.subject.por.fl_str_mv MRI
nose
tumor
sinusitis
CT scan
magnetic resonance imaging
topic MRI
nose
tumor
sinusitis
CT scan
magnetic resonance imaging
description Abstract Introduction Appearance of nasal masses on routine CT and MRI are not pathognomonic. We utilized the apparent diffusion coefficient (ADC) value obtained from diffusion weighted image (DWI) to detect the differences in the microstructures of tumor and non-tumor tissues. Objective The objective of our study was to evaluate the diagnostic role of DWI and ADC values in differentiating between malignant and benign sinonasal lesions and its correlation with histopathological results as the reference standard. Methods Patients with nasal and / or paranasal mass underwent CT, MRI, and DWI before any surgical intervention.We used diagnostic sinonasal endoscopy and biopsy to confirm the diagnosis after MRI. Results When we used ADC value of (1.2 x 10 3 mm2/s) as a cut-off value for differentiating benign from malignant sinonasal lesions, we achieved 90% accuracy, 100% sensitivity, 88.4% specificity, 77.8% positive predictive value, and 100% negative predictive value. At this cut-off, benign lesions show statistically significant higher ADC value than malignant tumors. Conclusion DW MRI and ADC value calculation are promising quantitative methods helping to differentiate betweenmalignant and benign sinonasal lesions. Thus, they are effective methods compared with other conventionalmethods with short imaging time thus it is recommended to be incorporated into routine evaluations.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-48642017000400358
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-48642017000400358
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1055/s-0036-1597323
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Fundação Otorrinolaringologia
publisher.none.fl_str_mv Fundação Otorrinolaringologia
dc.source.none.fl_str_mv International Archives of Otorhinolaryngology v.21 n.4 2017
reponame:International Archives of Otorhinolaryngology
instname:Fundação Otorrinolaringologia (FORL)
instacron:FORL
instname_str Fundação Otorrinolaringologia (FORL)
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institution FORL
reponame_str International Archives of Otorhinolaryngology
collection International Archives of Otorhinolaryngology
repository.name.fl_str_mv International Archives of Otorhinolaryngology - Fundação Otorrinolaringologia (FORL)
repository.mail.fl_str_mv ||iaorl@iaorl.org||archives@internationalarchivesent.org||arquivos@forl.org.br
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