Evaluation of Lung MDCT Nodule Annotation Across Radiologists and Methods
| Autor: | David F. Yankelevitz, Anthony P. Reeves, Barbara Y. Croft, Heber MacMahon, Adam Starkey, Laurence P. Clarke, Chris Piker, Daniel Max, Eric A. Hoffman, Samuel G. Armato, Brian F. Mullan, Geoffrey McLennan, David Gur, Richie C. Pais, Peyton H. Bland, Junfeng Guo, Ella A. Kazerooni, Timothy D. Johnson, Michael F. McNitt-Gray, Denise R. Aberle, David Qing, Claudia I. Henschke, Gary E. Laderach, Edwin J. R. van Beek, Charles R. Meyer |
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| Rok vydání: | 2006 |
| Předmět: |
medicine.medical_specialty
Lung Neoplasms Sensitivity and Specificity Standard deviation Pattern Recognition Automated Professional Competence Artificial Intelligence Physicians Image Interpretation Computer-Assisted Task Performance and Analysis medicine Humans Radiology Nuclear Medicine and imaging Observer Variation Solitary pulmonary nodule business.industry Reproducibility of Results Solitary Pulmonary Nodule Nodule (medicine) Variance (accounting) medicine.disease Random effects model Metric (unit) Radiology Tomography medicine.symptom Tomography X-Ray Computed business Volume (compression) |
| Zdroj: | Meyer, C R, Johnson, T D, McLennan, G, Aberle, D R, Kazerooni, E A, Macmahon, H, Mullan, B F, Yankelevitz, D F, van Beek, E J R, Armato, S G, McNitt-Gray, M F, Reeves, A P, Gur, D, Henschke, C I, Hoffman, E A, Bland, P H, Laderach, G, Pais, R, Qing, D, Piker, C, Guo, J, Starkey, A, Max, D, Croft, B Y & Clarke, L P 2006, ' Evaluation of lung MDCT nodule annotation across radiologists and methods ', Academic Radiology, vol. 13, no. 10, pp. 1254-65 . https://doi.org/10.1016/j.acra.2006.07.012 |
| ISSN: | 1076-6332 |
| Popis: | RATIONALE AND OBJECTIVES: Integral to the mission of the National Institutes of Health-sponsored Lung Imaging Database Consortium is the accurate definition of the spatial location of pulmonary nodules. Because the majority of small lung nodules are not resected, a reference standard from histopathology is generally unavailable. Thus assessing the source of variability in defining the spatial location of lung nodules by expert radiologists using different software tools as an alternative form of truth is necessary.MATERIALS AND METHODS: The relative differences in performance of six radiologists each applying three annotation methods to the task of defining the spatial extent of 23 different lung nodules were evaluated. The variability of radiologists' spatial definitions for a nodule was measured using both volumes and probability maps (p-map). Results were analyzed using a linear mixed-effects model that included nested random effects.RESULTS: Across the combination of all nodules, volume and p-map model parameters were found to be significant at P CONCLUSION: Radiologists represent the major source of variance as compared with drawing tools independent of drawing metric used. Although the random noise component is larger for the p-map analysis than for volume estimation, the p-map analysis appears to have more power to detect differences in radiologist-method combinations. The standard deviation of the volume measurement task appears to be proportional to nodule volume. |
| Databáze: | OpenAIRE |
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