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Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI
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 o...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Thieme Revinter Publicações Ltda
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5629089/ https://www.ncbi.nlm.nih.gov/pubmed/29018499 http://dx.doi.org/10.1055/s-0036-1597323 |
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author | El-Gerby, Khaled M. El-Anwar, Mohammad Waheed |
author_facet | El-Gerby, Khaled M. El-Anwar, Mohammad Waheed |
author_sort | El-Gerby, Khaled M. |
collection | PubMed |
description | 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 × 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 between malignant and benign sinonasal lesions. Thus, they are effective methods compared with other conventional methods with short imaging time thus it is recommended to be incorporated into routine evaluations. |
format | Online Article Text |
id | pubmed-5629089 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Thieme Revinter Publicações Ltda |
record_format | MEDLINE/PubMed |
spelling | pubmed-56290892017-10-10 Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI El-Gerby, Khaled M. El-Anwar, Mohammad Waheed Int Arch Otorhinolaryngol 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 × 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 between malignant and benign sinonasal lesions. Thus, they are effective methods compared with other conventional methods with short imaging time thus it is recommended to be incorporated into routine evaluations. Thieme Revinter Publicações Ltda 2017-10 2017-01-04 /pmc/articles/PMC5629089/ /pubmed/29018499 http://dx.doi.org/10.1055/s-0036-1597323 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | El-Gerby, Khaled M. El-Anwar, Mohammad Waheed Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI |
title | 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_short | Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI |
title_sort | differentiating benign from malignant sinonasal lesions: feasibility of diffusion weighted mri |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5629089/ https://www.ncbi.nlm.nih.gov/pubmed/29018499 http://dx.doi.org/10.1055/s-0036-1597323 |
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