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

British Journal of Radiology

Volumn 78, Issue SPEC. ISS., 2005, Pages

  Bogoni, L ^a   Cathier, P ^a   Dundar, M ^a   Jerebko, A ^a   Lakare, S ^a   Liang, J ^a   Periaswamy, S ^a   Baker, M E ^b   MacAri, M ^c  

^a Siemens Medical Solutions ^*  (United States)

^b LERNER RESEARCH INSTITUTE   (United States)

^c NEW YORK UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CANCER MORTALITY; CANCER SCREENING; CLINICAL PRACTICE; COLON LAVAGE; COLON POLYP; COLONOSCOPY; COLORECTAL CANCER; COMPUTED TOMOGRAPHIC COLONOGRAPHY; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC ACCURACY; HUMAN; PATIENT COMPLIANCE; RECTUM POLYP; SENSITIVITY AND SPECIFICITY; TUMOR VOLUME;

ALGORITHMS; COLONOGRAPHY, COMPUTED TOMOGRAPHIC; COLORECTAL NEOPLASMS; HUMANS; MASS SCREENING; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SENSITIVITY AND SPECIFICITY;

EID: 21644448339     PISSN: 00071285     EISSN: None     Source Type: Journal    
DOI: 10.1259/bjr/25777270     Document Type: Article

References (24)

1. Jemal A, Tiwari RC, Murray T, Ghafoor A, Saumuels A, Ward E, et al. Cancer Statistics 2004. CA Cancer J Clin 2004;54:8-29.
2. Winawer S, Fletcher R, Rex D, Bond J, Burt R, Ferrucci J, et al. Colorectal cancer screening and surveillance: clinical guidelines and rationale - update based on new evidence. Gastroenterology 2003;124:544-60.
3. Macari M, Bini EJ, Jacobs SL, Lui YW, Laks S, Milano A, et al. Significance of missed polyps at CT colonography. AJR Am J Roentgenol 2004;183:127-34.
4. Citarda F, Tomaselli G, Capocaccia R, Barcherini S, Crespi M. Efficacy in standard clinical practice of colonoscopic polypectomy in reducing colorectal cancer incidence. Gut 2001;48:812-5.
5. Morrin MM, LaMont JT. Screening virtual colonoscopy - ready for prime time? N Engl J Med 2003;349:2261-4.
6. Anon. Trends in screening for colorectal cancer - United States, 1997 and 1999. MMWR Morb Mortal Wkly Rep 2001;50:162-6.
7. Zack DL, DiBaise JK. Quigley EM, et al. Colorectal cancer screening compliance by medicine residents: perceived and actual. Am J Gastroenterol 2001;96:3002-8.
8. Pickhardt PJ, Choi JR, Hwang I, Butler JA, Puckett JL, Hildebrand HA. Computer tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. N Engl J Med 2003;349:2191-200.
9. Sosna J, Morrin MM, Kruskal JB, Lavin PT, Rosen MP, Raptopoulos V. CT colonography of colorectal polyps: a metaanalysis. AJR 2003;181:1593-8.
10. Vining DJ, Gelfand DW, Bechtold RE, Scharling ES, Grishaw EK, Shifrin RY. Technical feasibility of colon imaging with helical CT and virtual reality. AJR Am J Roentgenol 1994;62(Suppl.):104.
11. Fenlon HM, Nunes DP, Schroy PCII, et al. A comparison of virtual and conventional colonoscopy for the detection of colorectal polyps. N Engl J Med 1999;341:1496-503.
12. Yee J, Geetanjali AA, Hung RK, Steinauer-Gebauer AM, Wall AD, McQuaid KR. Colorectal neoplasia: performance characteristics of CT colonography for detection in 300 patients. Radiology 2001;219:685-92.
13. Macari M, Bini EJ, Xue X, Milano A, Katz SS, Resnick D, et al. Colorectal neoplasms: prospective comparison of thin-section low-dose multi-detector row CT colonography and conventional colonoscopy for detection. Radiology 2002;224: 383-92.
14. Iannaccone R, Laghi A, Catalano C, Brink JA, Mangiapane F, Trenna S, et al. Detection of colorectal lesions: lower-dose multi-detector row helical CT colonography compared with conventional colonoscopy. Radiology 2003;229:775-81.
15. Waye JD, Lewis BS, Frankel A, Geller SA. Small colon polyps. Am J Gastroenterol 1988;83:120-2.
16. Okamura A, Dachman AH, Parsad N, Nappi J, Yoshida H. Evaluation of the effect of CAD on observers' performance in detection of polyps in CT colonography. In: 6th International Workshop on Computer Aided Diagnosis. CARS 2004;1268: 989-92.
17. John GH, Kohavi R, Pfleger K. Irrelevant features and the subset selection problem. In: Proceedings of the 11th International Conference on Machine Learning, California: Morgan Kaufmann, 1994:121-9.
18. Jerebko AK, Malley JD, Franaszek M, Summers RM. Multinetwork classification scheme for detection of colonic polyps in CT colonography data sets. Acad Radiol 2003;10: 154-60.
19. Yoshida H, Nappi J, MacEneaney P, Rubin DT, Dachman AH. Computer-aided diagnosis scheme for detection of polyps at CT colonography. Radiographics 2002;22:963-79.
20. Gokturk SB, Tomasi C, Acar B, Beaulieu CF, Paik DS, Jeffrey RB, et al. A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography. IEEE Trans Med Imaging 2001;20:1251-60.
21. Li H, Santago P. A practical automated polyp detection scheme for CT colonography. SPIE Med Imag., 2004;5372: 487-95.
22. Kiss G, Van Cleynenbreugel J, Suetens P, Marchal G. Computer aided diagnosis for CT colonography via slope density functions. MICCAI 2003;2878:746-53.
23. Nappi J, Frimmel H, Okamura A, Dachman AH, Yoshida H. Region-based supine-pro correspondence for reduction of false positives in CAD of CT colonography. CARS 2004; 1268:993-8.
24. Laks S, Macari M, Bini EJ. Positional change in colon polyps at CT colonography. Radiology 2004;231:761-6.