Dynamic contrast-enhanced computed tomography in metastatic nasopharyngeal carcinoma : reproducibility analysis and observer variability of the distributed parameter model
Objectives: To determine the reproducibility and observer variability of distributed parameter analysis of dynamic contrast-enhanced computed tomography (DCE-CT) data in metastatic nasopharyngeal carcinoma, and to compare 2 approaches of region-of-interest (ROI) analyses. Methods: Following ethic...
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sg-ntu-dr.10356-1042272020-03-07T11:57:11Z Dynamic contrast-enhanced computed tomography in metastatic nasopharyngeal carcinoma : reproducibility analysis and observer variability of the distributed parameter model Ng, Quan-Sing Thng, Choon Hua Lim, Wan Teck Hartono, Septian Thian, Yee Liang Lee, Puor Sherng Tan, Daniel Shao-Weng Tan, Eng Huat Koh, Tong San School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics Objectives: To determine the reproducibility and observer variability of distributed parameter analysis of dynamic contrast-enhanced computed tomography (DCE-CT) data in metastatic nasopharyngeal carcinoma, and to compare 2 approaches of region-of-interest (ROI) analyses. Methods: Following ethical approval and informed consent, 17 patients with nasopharyngeal carcinoma underwent paired DCE-CT examinations on a 64-detector scanner, measuring tumor blood flow (F, mL/100 mL/min), permeability surface area product (PS, mL/100 mL/min), fractional intravascular blood volume (v1, mL/100 mL), and fractional extracellular-extravascular volume (v2, mL/100 mL). Tumor parameters were derived by fitting (i) the ROI-averaged concentration-time curve, and (ii) the median value of parameters from voxel-level concentration-time curves. Measurement reproducibility and inter- and intraobserver variability were estimated using Bland-Altman statistics. Results: Mean F, PS, v1, and v2 are 44.9, 20.4, 7.1, and 34.1 for ROI analysis, and 49.0, 18.7, 6.7, and 34.0 for voxel analysis, respectively. Within-subject coefficients of variation are 38.8%, 49.5%, 54.2%, and 35.9% for ROI analysis, and 15.0%, 35.1%, 33.0%, and 21.0% for voxel analysis, respectively. Repeatability coefficients are 48.2, 28.0, 10.7, and 33.9 for ROI analysis, and 20.3, 18.2, 6.1 and 19.8 for voxel analysis, respectively. Intra- and interobserver correlation coefficient ranged from 0.94 to 0.97 and 0.90 to 0.95 for voxel analysis, and 0.73 to 0.87 and 0.72 to 0.94 for ROI analysis, respectively. Conclusion: Measurements of F and v2 appear more reproducible than PS and v1. Voxel-level analysis improves both reproducibility and observer variability compared with ROI-averaged analysis and may retain information about tumor spatial heterogeneity. 2013-10-28T08:09:12Z 2019-12-06T21:28:38Z 2013-10-28T08:09:12Z 2019-12-06T21:28:38Z 2012 2012 Journal Article Ng, Q.S., Thng C.H., Lim W.T., Hartono, S., Thian, Y.L., Lee P.S., et al. (2012). Dynamic contrast-enhanced computed tomography in metastatic nasopharyngeal carcinoma: reproducibility analysis and observer variability of the distributed parameter model. Investigative radiology, 47(1), 5-10. https://hdl.handle.net/10356/104227 http://hdl.handle.net/10220/16981 10.1097/RLI.0b013e3182199b9a en Investigative radiology |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics Ng, Quan-Sing Thng, Choon Hua Lim, Wan Teck Hartono, Septian Thian, Yee Liang Lee, Puor Sherng Tan, Daniel Shao-Weng Tan, Eng Huat Koh, Tong San Dynamic contrast-enhanced computed tomography in metastatic nasopharyngeal carcinoma : reproducibility analysis and observer variability of the distributed parameter model |
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Objectives: To determine the reproducibility and observer variability of distributed parameter analysis of dynamic contrast-enhanced computed tomography (DCE-CT) data in metastatic nasopharyngeal carcinoma, and to compare 2 approaches of region-of-interest (ROI) analyses.
Methods: Following ethical approval and informed consent, 17 patients with nasopharyngeal carcinoma underwent paired DCE-CT examinations on a 64-detector scanner, measuring tumor blood flow (F, mL/100 mL/min), permeability surface area product (PS, mL/100 mL/min), fractional intravascular blood volume (v1, mL/100 mL), and fractional extracellular-extravascular volume (v2, mL/100 mL). Tumor parameters were derived by fitting (i) the ROI-averaged concentration-time curve, and (ii) the median value of parameters from voxel-level concentration-time curves. Measurement reproducibility and inter- and intraobserver variability were estimated using Bland-Altman statistics.
Results: Mean F, PS, v1, and v2 are 44.9, 20.4, 7.1, and 34.1 for ROI analysis, and 49.0, 18.7, 6.7, and 34.0 for voxel analysis, respectively. Within-subject coefficients of variation are 38.8%, 49.5%, 54.2%, and 35.9% for ROI analysis, and 15.0%, 35.1%, 33.0%, and 21.0% for voxel analysis, respectively. Repeatability coefficients are 48.2, 28.0, 10.7, and 33.9 for ROI analysis, and 20.3, 18.2, 6.1 and 19.8 for voxel analysis, respectively. Intra- and interobserver correlation coefficient ranged from 0.94 to 0.97 and 0.90 to 0.95 for voxel analysis, and 0.73 to 0.87 and 0.72 to 0.94 for ROI analysis, respectively.
Conclusion: Measurements of F and v2 appear more reproducible than PS and v1. Voxel-level analysis improves both reproducibility and observer variability compared with ROI-averaged analysis and may retain information about tumor spatial heterogeneity. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Ng, Quan-Sing Thng, Choon Hua Lim, Wan Teck Hartono, Septian Thian, Yee Liang Lee, Puor Sherng Tan, Daniel Shao-Weng Tan, Eng Huat Koh, Tong San |
format |
Article |
author |
Ng, Quan-Sing Thng, Choon Hua Lim, Wan Teck Hartono, Septian Thian, Yee Liang Lee, Puor Sherng Tan, Daniel Shao-Weng Tan, Eng Huat Koh, Tong San |
author_sort |
Ng, Quan-Sing |
title |
Dynamic contrast-enhanced computed tomography in metastatic nasopharyngeal carcinoma : reproducibility analysis and observer variability of the distributed parameter model |
title_short |
Dynamic contrast-enhanced computed tomography in metastatic nasopharyngeal carcinoma : reproducibility analysis and observer variability of the distributed parameter model |
title_full |
Dynamic contrast-enhanced computed tomography in metastatic nasopharyngeal carcinoma : reproducibility analysis and observer variability of the distributed parameter model |
title_fullStr |
Dynamic contrast-enhanced computed tomography in metastatic nasopharyngeal carcinoma : reproducibility analysis and observer variability of the distributed parameter model |
title_full_unstemmed |
Dynamic contrast-enhanced computed tomography in metastatic nasopharyngeal carcinoma : reproducibility analysis and observer variability of the distributed parameter model |
title_sort |
dynamic contrast-enhanced computed tomography in metastatic nasopharyngeal carcinoma : reproducibility analysis and observer variability of the distributed parameter model |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/104227 http://hdl.handle.net/10220/16981 |
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1681035701479538688 |