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Diffusion Weighted Imaging for Differentiating Benign from Malignant Orbital Tumors: Diagnostic Performance of the Apparent Diffusion Coefficient Based on Region of Interest Selection Method

OBJECTIVE: To evaluate the differences in the apparent diffusion coefficient (ADC) measurements based on three different region of interest (ROI) selection methods, and compare their diagnostic performance in differentiating benign from malignant orbital tumors. MATERIALS AND METHODS: Diffusion-weig...

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Autores principales: Xu, Xiao-Quan, Hu, Hao, Su, Guo-Yi, Liu, Hu, Shi, Hai-Bin, Wu, Fei-Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5007391/
https://www.ncbi.nlm.nih.gov/pubmed/27587953
http://dx.doi.org/10.3348/kjr.2016.17.5.650
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author Xu, Xiao-Quan
Hu, Hao
Su, Guo-Yi
Liu, Hu
Shi, Hai-Bin
Wu, Fei-Yun
author_facet Xu, Xiao-Quan
Hu, Hao
Su, Guo-Yi
Liu, Hu
Shi, Hai-Bin
Wu, Fei-Yun
author_sort Xu, Xiao-Quan
collection PubMed
description OBJECTIVE: To evaluate the differences in the apparent diffusion coefficient (ADC) measurements based on three different region of interest (ROI) selection methods, and compare their diagnostic performance in differentiating benign from malignant orbital tumors. MATERIALS AND METHODS: Diffusion-weighted imaging data of sixty-four patients with orbital tumors (33 benign and 31 malignant) were retrospectively analyzed. Two readers independently measured the ADC values using three different ROIs selection methods including whole-tumor (WT), single-slice (SS), and reader-defined small sample (RDSS). The differences of ADC values (ADC-ROI(WT), ADC-ROI(SS), and ADC-ROI(RDSS)) between benign and malignant group were compared using unpaired t test. Receiver operating characteristic curve was used to determine and compare their diagnostic ability. The ADC measurement time was compared using ANOVA analysis and the measurement reproducibility was assessed using Bland-Altman method and intra-class correlation coefficient (ICC). RESULTS: Malignant group showed significantly lower ADC-ROI(WT), ADC-ROI(SS), and ADC-ROI(RDSS) than benign group (all p < 0.05). The areas under the curve showed no significant difference when using ADC-ROI(WT), ADC-ROI(SS), and ADC-ROI(RDSS) as differentiating index, respectively (all p > 0.05). The ROI(SS) and ROI(RDSS) required comparable measurement time (p > 0.05), while significantly shorter than ROI(WT) (p < 0.05). The ROI(SS) showed the best reproducibility (mean difference ± limits of agreement between two readers were 0.022 [-0.080–0.123] × 10(-3) mm(2)/s; ICC, 0.997) among three ROI methods. CONCLUSION: Apparent diffusion coefficient values based on the three different ROI selection methods can help to differentiate benign from malignant orbital tumors. The results of measurement time, reproducibility and diagnostic ability suggest that the ROI(SS) method are potentially useful for clinical practice.
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spelling pubmed-50073912016-09-01 Diffusion Weighted Imaging for Differentiating Benign from Malignant Orbital Tumors: Diagnostic Performance of the Apparent Diffusion Coefficient Based on Region of Interest Selection Method Xu, Xiao-Quan Hu, Hao Su, Guo-Yi Liu, Hu Shi, Hai-Bin Wu, Fei-Yun Korean J Radiol Neuroimaging and Head & Neck OBJECTIVE: To evaluate the differences in the apparent diffusion coefficient (ADC) measurements based on three different region of interest (ROI) selection methods, and compare their diagnostic performance in differentiating benign from malignant orbital tumors. MATERIALS AND METHODS: Diffusion-weighted imaging data of sixty-four patients with orbital tumors (33 benign and 31 malignant) were retrospectively analyzed. Two readers independently measured the ADC values using three different ROIs selection methods including whole-tumor (WT), single-slice (SS), and reader-defined small sample (RDSS). The differences of ADC values (ADC-ROI(WT), ADC-ROI(SS), and ADC-ROI(RDSS)) between benign and malignant group were compared using unpaired t test. Receiver operating characteristic curve was used to determine and compare their diagnostic ability. The ADC measurement time was compared using ANOVA analysis and the measurement reproducibility was assessed using Bland-Altman method and intra-class correlation coefficient (ICC). RESULTS: Malignant group showed significantly lower ADC-ROI(WT), ADC-ROI(SS), and ADC-ROI(RDSS) than benign group (all p < 0.05). The areas under the curve showed no significant difference when using ADC-ROI(WT), ADC-ROI(SS), and ADC-ROI(RDSS) as differentiating index, respectively (all p > 0.05). The ROI(SS) and ROI(RDSS) required comparable measurement time (p > 0.05), while significantly shorter than ROI(WT) (p < 0.05). The ROI(SS) showed the best reproducibility (mean difference ± limits of agreement between two readers were 0.022 [-0.080–0.123] × 10(-3) mm(2)/s; ICC, 0.997) among three ROI methods. CONCLUSION: Apparent diffusion coefficient values based on the three different ROI selection methods can help to differentiate benign from malignant orbital tumors. The results of measurement time, reproducibility and diagnostic ability suggest that the ROI(SS) method are potentially useful for clinical practice. The Korean Society of Radiology 2016 2016-08-23 /pmc/articles/PMC5007391/ /pubmed/27587953 http://dx.doi.org/10.3348/kjr.2016.17.5.650 Text en Copyright © 2016 The Korean Society of Radiology http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Neuroimaging and Head & Neck
Xu, Xiao-Quan
Hu, Hao
Su, Guo-Yi
Liu, Hu
Shi, Hai-Bin
Wu, Fei-Yun
Diffusion Weighted Imaging for Differentiating Benign from Malignant Orbital Tumors: Diagnostic Performance of the Apparent Diffusion Coefficient Based on Region of Interest Selection Method
title Diffusion Weighted Imaging for Differentiating Benign from Malignant Orbital Tumors: Diagnostic Performance of the Apparent Diffusion Coefficient Based on Region of Interest Selection Method
title_full Diffusion Weighted Imaging for Differentiating Benign from Malignant Orbital Tumors: Diagnostic Performance of the Apparent Diffusion Coefficient Based on Region of Interest Selection Method
title_fullStr Diffusion Weighted Imaging for Differentiating Benign from Malignant Orbital Tumors: Diagnostic Performance of the Apparent Diffusion Coefficient Based on Region of Interest Selection Method
title_full_unstemmed Diffusion Weighted Imaging for Differentiating Benign from Malignant Orbital Tumors: Diagnostic Performance of the Apparent Diffusion Coefficient Based on Region of Interest Selection Method
title_short Diffusion Weighted Imaging for Differentiating Benign from Malignant Orbital Tumors: Diagnostic Performance of the Apparent Diffusion Coefficient Based on Region of Interest Selection Method
title_sort diffusion weighted imaging for differentiating benign from malignant orbital tumors: diagnostic performance of the apparent diffusion coefficient based on region of interest selection method
topic Neuroimaging and Head & Neck
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5007391/
https://www.ncbi.nlm.nih.gov/pubmed/27587953
http://dx.doi.org/10.3348/kjr.2016.17.5.650
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