Computer-Aided Detection of Colorectal Polyps in CT Colonography With and Without Fecal Tagging
| Autor: | Andrea Laghi, Mark E. Baker, Vikas C. Raykar, Helmut Ringl, Christian J. Herold, Michael Weber, Franco Iafrate, Anno Graser, Luca Bogoni, Matthias Wolf, Marcos Salganicoff, Michael Macari, Thomas Mang, Perry J. Pickhardt |
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| Rok vydání: | 2012 |
| Předmět: |
Adult
Male Oncology medicine.medical_specialty colorectal polyps ct colonography colorectal cancer computer-aided detection virtual colonoscopy Virtual colonoscopy Colorectal cancer Colonic Polyps Colonoscopy Computed tomography Sensitivity and Specificity Pattern Recognition Automated Feces Fecal tagging Internal medicine medicine Humans Radiology Nuclear Medicine and imaging Aged Aged 80 and over Staining and Labeling medicine.diagnostic_test business.industry Reproducibility of Results Retrospective cohort study General Medicine Middle Aged medicine.disease Computer aided detection Radiographic Image Enhancement Clinical Practice Rectal Diseases Radiographic Image Interpretation Computer-Assisted Female Nuclear medicine business Colonography Computed Tomographic Algorithms |
| Zdroj: | Investigative Radiology. 47:99-108 |
| ISSN: | 0020-9996 |
| Popis: | Purpose To evaluate the stand-alone performance of a computer-aided detection (CAD) algorithm for colorectal polyps in a large heterogeneous CT colonography (CTC) database that included both tagged and untagged datasets. Methods Written, informed consent was waived for this institutional review board-approved, HIPAA-compliant retrospective study. CTC datasets from 2063 patients were assigned to training (n = 374) and testing (n = 1689). The test set consisted of 836 untagged and 853 tagged examinations not used for CAD training. Examinations were performed at 15 sites in the United States, Asia, and Europe, using 4- to 64-multidetector-row computed tomography and various acquisition parameters. CAD sensitivities were calculated on a per-patient and per-polyp basis for polyps measuring ≥6 mm. The reference standard was colonoscopy in 1588 (94%) and consensus interpretation by expert radiologists in 101 (6%) patients. Statistical testing employed χ, logistic regression, and Mann-Whitney U tests. Results In 383 of 1689 individuals, 564 polyps measuring ≥6 mm were identified by the reference standard (347 polyps: 6-9 mm and 217 polyps: ≥10 mm). Overall, CAD per-patient sensitivity was 89.6% (343/383), with 89.0% (187/210) for untagged and 90.2% (156/173) for tagged datasets (P = 0.72). Overall, per-polyp sensitivity was 86.9% (490/564), with 84.4% (270/320) for untagged and 90.2% (220/244) for tagged examinations (P = 068). The mean false-positive rate per patient was 5.14 (median, 4) in untagged and 4.67 (median, 4) in tagged patient datasets (P = 0.353). Conclusion Stand-alone CAD can be applied to both tagged and untagged CTC studies without significant performance differences. Detection rates are comparable to human readers at a relatively low false-positive rate, making CAD a useful tool in clinical practice. |
| Databáze: | OpenAIRE |
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