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Characterization of diffuse orbital mass using Apparent diffusion coefficient in 3-tesla MRI
PURPOSE: To evaluate if the apparent diffusion coefficient (ADC) value in diffusion-weighted magnetic resonance imaging (DW-MRI) improves the diagnostic accuracy of diffuse orbital masses. MATERIALS AND METHODS: ADC DW-MRI was used to evaluate cases of diffuse orbital masses at our institution from...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5926269/ https://www.ncbi.nlm.nih.gov/pubmed/29719859 http://dx.doi.org/10.1016/j.ejro.2018.03.001 |
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author | ElKhamary, Sahar M. Galindo-Ferreiro, Alicia AlGhafri, Laila Khandekar, Rajiv Schellini, Silvana Artioli |
author_facet | ElKhamary, Sahar M. Galindo-Ferreiro, Alicia AlGhafri, Laila Khandekar, Rajiv Schellini, Silvana Artioli |
author_sort | ElKhamary, Sahar M. |
collection | PubMed |
description | PURPOSE: To evaluate if the apparent diffusion coefficient (ADC) value in diffusion-weighted magnetic resonance imaging (DW-MRI) improves the diagnostic accuracy of diffuse orbital masses. MATERIALS AND METHODS: ADC DW-MRI was used to evaluate cases of diffuse orbital masses at our institution from 2000 to 2015. Lesions were grouped according to histopathologic diagnosis as, benign, pre-malignant and malignant. Lymphoproliferative lesions were further subgrouped as lymphoma or other lymphoproliferative lesions. The validity of the ADC value for the diffuse orbital mass was compared between groups. The area under curve (AUC) was also calculated. RESULTS: Thirty-nine cases of diffuse orbital masses were evaluated. The median ADC was 0.58 (25% quartile 0.48; minimum: 0.45; maximum: 1.72 × 10((−3))) for the malignant tumors and 1.19 (25% quartile 0.7; minimum: 0.5; maximum: 1.95 × 10((−3)) mm((2)) s((−1))) for benign lesions. This difference in ADC between lesions was statistically significant (Mann Whitney U test P < 0.001). The median ADC was 0.51 (25% quartile 0.48) for lymphomas and 0.9 (25% quartile 0.7) for other lymphoproliferative lesions. This difference in ADC was statistically significant (Mann Whitney U test P = 0.02). An ADC value of 0.8 × 10((−3)) mm((2)) s((−1)) was noted as the ideal threshold value for differentiating malignant from benign diffuse orbital masses. The validity of ADC in predicting a malignant or benign diffuse orbital mass had a sensitivity of 87%, specificity of 67% and accuracy of 88%. CONCLUSION: ADC is a promising imaging metric to characterize malignant and benign diffuse orbital masses and to distinguish lymphomas from other non−lymphoproliferative lesions. |
format | Online Article Text |
id | pubmed-5926269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59262692018-05-01 Characterization of diffuse orbital mass using Apparent diffusion coefficient in 3-tesla MRI ElKhamary, Sahar M. Galindo-Ferreiro, Alicia AlGhafri, Laila Khandekar, Rajiv Schellini, Silvana Artioli Eur J Radiol Open Article PURPOSE: To evaluate if the apparent diffusion coefficient (ADC) value in diffusion-weighted magnetic resonance imaging (DW-MRI) improves the diagnostic accuracy of diffuse orbital masses. MATERIALS AND METHODS: ADC DW-MRI was used to evaluate cases of diffuse orbital masses at our institution from 2000 to 2015. Lesions were grouped according to histopathologic diagnosis as, benign, pre-malignant and malignant. Lymphoproliferative lesions were further subgrouped as lymphoma or other lymphoproliferative lesions. The validity of the ADC value for the diffuse orbital mass was compared between groups. The area under curve (AUC) was also calculated. RESULTS: Thirty-nine cases of diffuse orbital masses were evaluated. The median ADC was 0.58 (25% quartile 0.48; minimum: 0.45; maximum: 1.72 × 10((−3))) for the malignant tumors and 1.19 (25% quartile 0.7; minimum: 0.5; maximum: 1.95 × 10((−3)) mm((2)) s((−1))) for benign lesions. This difference in ADC between lesions was statistically significant (Mann Whitney U test P < 0.001). The median ADC was 0.51 (25% quartile 0.48) for lymphomas and 0.9 (25% quartile 0.7) for other lymphoproliferative lesions. This difference in ADC was statistically significant (Mann Whitney U test P = 0.02). An ADC value of 0.8 × 10((−3)) mm((2)) s((−1)) was noted as the ideal threshold value for differentiating malignant from benign diffuse orbital masses. The validity of ADC in predicting a malignant or benign diffuse orbital mass had a sensitivity of 87%, specificity of 67% and accuracy of 88%. CONCLUSION: ADC is a promising imaging metric to characterize malignant and benign diffuse orbital masses and to distinguish lymphomas from other non−lymphoproliferative lesions. Elsevier 2018-03-26 /pmc/articles/PMC5926269/ /pubmed/29719859 http://dx.doi.org/10.1016/j.ejro.2018.03.001 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article ElKhamary, Sahar M. Galindo-Ferreiro, Alicia AlGhafri, Laila Khandekar, Rajiv Schellini, Silvana Artioli Characterization of diffuse orbital mass using Apparent diffusion coefficient in 3-tesla MRI |
title | Characterization of diffuse orbital mass using Apparent diffusion coefficient in 3-tesla MRI |
title_full | Characterization of diffuse orbital mass using Apparent diffusion coefficient in 3-tesla MRI |
title_fullStr | Characterization of diffuse orbital mass using Apparent diffusion coefficient in 3-tesla MRI |
title_full_unstemmed | Characterization of diffuse orbital mass using Apparent diffusion coefficient in 3-tesla MRI |
title_short | Characterization of diffuse orbital mass using Apparent diffusion coefficient in 3-tesla MRI |
title_sort | characterization of diffuse orbital mass using apparent diffusion coefficient in 3-tesla mri |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5926269/ https://www.ncbi.nlm.nih.gov/pubmed/29719859 http://dx.doi.org/10.1016/j.ejro.2018.03.001 |
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