CT colonography: computer-assisted detection of colorectal cancer
| Autor: | C Robinson, Shonit Punwani, Steve Halligan, L Honeyfield, Stuart A. Taylor, Gen Iinuma, W Topping |
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| Rok vydání: | 2011 |
| Předmět: |
Adult
Male medicine.medical_specialty Supine position Adolescent Colorectal cancer Colonic Polyps CAD Asymptomatic Sphericity Young Adult Humans Medicine Radiology Nuclear Medicine and imaging Young adult Aged Retrospective Studies Aged 80 and over Full Paper business.industry Cancer Retrospective cohort study General Medicine Middle Aged medicine.disease Female Radiology medicine.symptom Colorectal Neoplasms business Colonography Computed Tomographic |
| Zdroj: | The British Journal of Radiology. 84:435-440 |
| ISSN: | 1748-880X 0007-1285 |
| DOI: | 10.1259/bjr/17848340 |
| Popis: | Computer-aided detection (CAD) for CT colonography (CTC) has been developed to detect benign polyps in asymptomatic patients. We aimed to determine whether such a CAD system can also detect cancer in symptomatic patients.CTC data from 137 symptomatic patients subsequently proven to have colorectal cancer were analysed by a CAD system at 4 different sphericity settings: 0, 50, 75 and 100. CAD prompts were classified by an observer as either true-positive if overlapping a cancer or false-positive if elsewhere. Colonoscopic data were used to aid matching.Of 137 cancers, CAD identified 124 (90.5%), 122 (89.1%), 119 (86.9%) and 102 (74.5%) at a sphericity of 0, 50, 75 and 100, respectively. A substantial proportion of cancers were detected on either the prone or supine acquisition alone. Of 125 patients with prone and supine acquisitions, 39.3%, 38.3%, 43.2% and 50.5% of cancers were detected on a single acquisition at a sphericity of 0, 50, 75 and 100, respectively. CAD detected three cancers missed by radiologists at the original clinical interpretation. False-positive prompts decreased with increasing sphericity value (median 65, 57, 45, 24 per patient at values of 0, 50, 75, 100, respectively) but many patients were poorly prepared.CAD can detect symptomatic colorectal cancer but must be applied to both prone and supine acquisitions for best performance. |
| Databáze: | OpenAIRE |
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