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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Society of Radiology
2016
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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. |
format | Online Article Text |
id | pubmed-5007391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The Korean Society of Radiology |
record_format | MEDLINE/PubMed |
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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