Computer-aided detection (CAD) for CT colonography: a tool to address a growing need. 2005

L Bogoni, and P Cathier, and M Dundar, and A Jerebko, and S Lakare, and J Liang, and S Periaswamy, and M E Baker, and M Macari
Computer Aided Diagnosis and Therapy, Siemens Medical Solutions, Malven, PA.

Colorectal cancer is the third most common cancer in both men and women. It is estimated that in 2004, nearly 147,000 cases of colon and rectal cancer will be diagnosed in the USA, and approximately 57,000 people would die from the disease; however, only 44% of the eligible population undergoes any type of colorectal cancer screening. Many reasons have been identified for non-compliance, with key ones being patient comfort, bowel preparation and cost. Virtual colonoscopy derived from computed tomography (CT) images is gaining broader acceptance as a screening method for colorectal neoplasia. Our research suggests that computer-aided detection (CAD) as a second reader has great potential in improving polyp detection. The ColonCAD prototype presented in this paper was developed and tested on cases representative of the variability and quality in true clinical practice. Results of this study with 150 patients demonstrate that: the developed algorithm generalises well: the sensitivity for polyps > or = 6 mm is on average 90%; and the median false positive rate is a manageable 3 per volume.

UI MeSH Term Description Entries
D008403 Mass Screening Organized periodic procedures performed on large groups of people for the purpose of detecting disease. Screening,Mass Screenings,Screening, Mass,Screenings,Screenings, Mass
D011857 Radiographic Image Interpretation, Computer-Assisted Computer systems or networks designed to provide radiographic interpretive information. Computer Assisted Radiographic Image Interpretation,Computer-Assisted Radiographic Image Interpretation,Radiographic Image Interpretation, Computer Assisted
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000465 Algorithms A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task. Algorithm
D012680 Sensitivity and Specificity Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed) Specificity,Sensitivity,Specificity and Sensitivity
D015179 Colorectal Neoplasms Tumors or cancer of the COLON or the RECTUM or both. Risk factors for colorectal cancer include chronic ULCERATIVE COLITIS; FAMILIAL POLYPOSIS COLI; exposure to ASBESTOS; and irradiation of the CERVIX UTERI. Colorectal Cancer,Colorectal Carcinoma,Colorectal Tumors,Neoplasms, Colorectal,Cancer, Colorectal,Cancers, Colorectal,Carcinoma, Colorectal,Carcinomas, Colorectal,Colorectal Cancers,Colorectal Carcinomas,Colorectal Neoplasm,Colorectal Tumor,Neoplasm, Colorectal,Tumor, Colorectal,Tumors, Colorectal
D023881 Colonography, Computed Tomographic A non-invasive imaging method that uses computed tomographic data combined with specialized imaging software to examine the colon. Colonoscopy, Virtual,Computed Tomographic Colonography,Virtual Colonoscopy,CT Colonography,Colonography, CT

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