| Autor: |
Varney, Elliot, Zand, Kevin, Lewis, Tara, Sirous, Reza, York, James, Florez, Edward, Howard-Claudio, Candace M., Roda, Manohar, Parker, Ellen, Scortegagna, Eduardo, Joyner, David, Sandlin, David, Newsome, Ashley, Brewster, Parker, Abou Elkassem, Asser, Smith, Andrew, Lirette, Seth T., Griswold, Michael |
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| Zdroj: |
Abdominal Radiology; Dec2018, Vol. 43 Issue 12, p3307-3316, 10p, 2 Diagrams, 2 Charts, 3 Graphs |
| Abstrakt: |
Purpose: To evaluate precision of a software-based liver surface nodularity (LSN) score derived from CT images.Methods: An anthropomorphic CT phantom was constructed with simulated liver containing smooth and nodular segments at the surface and simulated visceral and subcutaneous fat components. The phantom was scanned multiple times on a single CT scanner with adjustment of image acquisition and reconstruction parameters (N = 34) and on 22 different CT scanners from 4 manufacturers at 12 imaging centers. LSN scores were obtained using a software-based method. Repeatability and reproducibility were evaluated by intraclass correlation (ICC) and coefficient of variation. Using abdominal CT images from 68 patients with various stages of chronic liver disease, inter-observer agreement and test-retest repeatability among 12 readers assessing LSN by software- vs. visual-based scoring methods were evaluated by ICC.Results: There was excellent repeatability of LSN scores (ICC:0.79-0.99) using the CT phantom and routine image acquisition and reconstruction parameters (kVp 100-140, mA 200-400, and auto-mA, section thickness 1.25-5.0 mm, field of view 35-50 cm, and smooth or standard kernels). There was excellent reproducibility (smooth ICC: 0.97; 95% CI 0.95, 0.99; CV: 7%; nodular ICC: 0.94; 95% CI 0.89, 0.97; CV: 8%) for LSN scores derived from CT images from 22 different scanners. Inter-observer agreement for the software-based LSN scoring method was excellent (ICC: 0.84; 95% CI 0.79, 0.88; CV: 28%) vs. good for the visual-based method (ICC: 0.61; 95% CI 0.51, 0.69; CV: 43%). Test-retest repeatability for the software-based LSN scoring method was excellent (ICC: 0.82; 95% CI 0.79, 0.84; CV: 12%).Conclusion: The software-based LSN score is a quantitative CT imaging biomarker with excellent repeatability, reproducibility, inter-observer agreement, and test-retest repeatability. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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