Effect of computer-aided detection for CT colonography in a multireader, multicase trial

Radiology

Volumn 256, Issue 3, 2010, Pages 827-835

  Dachman, Abraham H ^a   Obuchowski, Nancy A ^b   Hoffmeister, Jeffrey W ^c   Hinshaw, J Louis ^d   Frew, Michael I ^e   Winter, Thomas C ^f   Van Uitert, Robert L ^c   Periaswamy, Senthil ^c   Summers, Ronald M ^g   Hillman, Bruce J ^h  

^a UNIVERSITY OF CHICAGO   (United States)

^b LERNER RESEARCH INSTITUTE   (United States)

^c iCAD   (United States)

^d University of Wisconsin Health   (United States)

^e WALTER REED ARMY MEDICAL CENTER   (United States)

^f UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^g NATIONAL INSTITUTES OF HEALTH   (United States)

^h UNIVERSITY OF VIRGINIA HEALTH SYSTEM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADENOMA; ADENOMATOUS POLYP; ADULT; AGED; ARTICLE; COLON POLYP; COMPUTED TOMOGRAPHIC COLONOGRAPHY; COMPUTER AIDED DESIGN; COMPUTER PROGRAM; DIAGNOSTIC ACCURACY; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; TUMOR VOLUME;

AGED; AREA UNDER CURVE; COLONIC POLYPS; COLONOGRAPHY, COMPUTED TOMOGRAPHIC; FEMALE; HUMANS; MALE; MIDDLE AGED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 77956115691     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.10091890     Document Type: Article

References (39)

1. Soto JA, Barish MA, Yee J. Reader training in CT colonography: how much is enough? Radiology 2005;237(1):26-27.
2. Dachman AH, Kelly KB, Zintsmaster MP, et al. Formative evaluation of standardized training for CT colonographic image interpretation by novice readers. Radiology 2008;249(1):167-177.
3. Mulhall BP, Veerappan GR, Jackson JL. Meta-analysis: computed tomographic colonography. Ann Intern Med 2005;142(8):635-650.
4. Summers RM, Jerebko AK, Franaszek M, Malley JD, Johnson CD. Colonic polyps: complementary role of computer-aided detection in CT colonography. Radiology 2002; 225(2):391-399.
5. Bogoni L, Cathier P, Dundar M, et al. Computer-aided detection (CAD) for CT colonography: a tool to address a growing need. Br J Radiol 2005;78(spec no 1):S57-S62.
6. Park SH, Kim SY, Lee SS, et al. Sensitivity of CT colonography for nonpolypoid colorectal lesions interpreted by human readers and with computer-aided detection. AJR Am J Roentgenol 2009;193(1):70-78.
7. Baker ME, Bogoni L, Obuchowski NA, et al. Computer-aided detection of colorectal polyps: can it improve sensitivity of less-experienced readers? preliminary findings. Radiology 2007;245(1):140-149.
8. Taylor SA, Brittenden J, Lenton J, et al. Influence of computer-aided detection false-positives on reader performance and diagnostic confidence for CT colonography. AJR Am J Roentgenol 2009;192(6):1682-1689.
9. Burling D, Moore A, Marshall M, et al. Virtual colonoscopy: effect of computer-assisted detection (CAD) on radiographer performance. Clin Radiol 2008;63(5):549-556.
10. Petrick N, Haider M, Summers RM, et al. CT colonography with computer-aided detection as a second reader: observer performance study. Radiology 2008;246(1):148-156.
11. Doshi T, Rusinak D, Halvorsen RA, Rockey DC, Suzuki K, Dachman AH. CT colonography: false-negative interpretations. Radiology 2007;244(1):165-173.
12. Hock D, Ouhadi R, Materne R, et al. Virtual dissection CT colonography: evaluation of learning curves and reading times with and without computer-aided detection. Radiology 2008;248(3):860-868.
13. Taylor SA, Iinuma G, Saito Y, Zhang J, Halligan S. CT colonography: computer-aided detection of morphologically flat T1 colonic carcinoma. Eur Radiol 2008;18(8): 1666-1673.
14. Graser A, Kolligs FT, Mang T, et al. Computer-aided detection in CT colonography: initial clinical experience using a prototype system. Eur Radiol 2007;17(10):2608-2615.
15. Johnson KT, Fletcher JG, Johnson CD. Computer-aided detection (CAD) using 360 degree virtual dissection: can CAD in a first reviewer paradigm be a reliable substitute for primary 2D or 3D search? AJR Am J Roentgenol 2007;189(4):W172-W176.
16. Mang T, Peloschek P, Plank C, et al. Effect of computer-aided detection as a second reader in multidetector-row CT colonography. Eur Radiol 2007;17(10):2598-2607.
17. Halligan S, Altman DG, Mallett S, et al. Computed tomographic colonography: assessment of radiologist performance with and without computer-aided detection. Gastroenterology 2006;131(6):1690-1699.
18. Shi R, Schraedley-Desmond P, Napel S, et al. CT colonography: influence of 3D viewing and polyp candidate features on interpretation with computer-aided detection. Radiology 2006;239(3):768-776.
19. Taylor SA, Halligan S, Burling D, et al. Computer-assisted reader software versus expert reviewers for polyp detection on CT colonography. AJR Am J Roentgenol 2006;186(3):696-702.
20. Mani A, Napel S, Paik DS, et al. Computed tomography colonography: feasibility of computer-aided polyp detection in a "first reader" paradigm. J Comput Assist Tomogr 2004;28(3):318-326.
21. Regge D, Hassan C, Pickhardt PJ, et al. Impact of computer-aided detection on the cost-effectiveness of CT colonography. Radiology 2009;250(2):488-497.
22. Taylor SA, Greenhalgh R, Ilangovan R, et al. CT colonography and computer-aided detection: effect of false-positive results on reader specificity and reading efficiency in a low-prevalence screening population. Radiology 2008;247(1): 133-140.
23. Pickhardt PJ, Choi JR, Hwang I, et al. Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. N Engl J Med 2003; 349(23):2191-2200.
24. Zalis ME, Barish MA, Choi JR, et al. CT colonography reporting and data system: a consensus proposal. Radiology 2005;236(1): 3-9.
25. Zhou XH, Obuchowski NA, McClish DK. Statistical methods in diagnostic medicine. Hoboken, NJ : Wiley-Interscience, 2002; 288-309.
26. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988;44(3):837-845.
27. Obuchowski NA. Nonparametric analysis of clustered ROC curve data. Biometrics 1997;53(2):567-578.
28. Obuchowski NA, Lieber ML, Powell KA. Data analysis for detection and localization of multiple abnormalities with application to mammography. Acad Radiol 2000;7(7):516-525.
29. Obuchowski NA, Rockette HE. Hypothesis testing of the diagnostic accuracy for multiple diagnostic tests: an ANOVA approach with dependent observations. Comm Statist Simulation Comput 1994;24(2):285-308.
30. Hillis SL. A comparison of denominator degrees of freedom methods for multiple observer ROC analysis. Stat Med 2007;26(3): 596-619.
31. Obuchowski NA. On the comparison of correlated proportions for clustered data. Stat Med 1998;17(13):1495-1507.
32. Taylor SA, Burling D, Roddie M, et al. Computer-aided detection for CT colonography: incremental benefit of observer training. Br J Radiol 2008;81(963):180-186.
33. Taylor SA, Halligan S, Slater A, et al. Polyp detection with CT colonography: primary 3D endoluminal analysis versus primary 2D transverse analysis with computer-assisted reader software. Radiology 2006;239(3): 759-767.
34. Taylor SA, Charman SC, Lefere P, et al. CT colonography: investigation of the optimum reader paradigm by using computer-aided detection software. Radiology 2008; 246(2):463-471.
35. Pickhardt PJ, Nugent PA, Mysliwiec PA, Choi JR, Schindler WR. Location of adenomas missed by optical colonoscopy. Ann Intern Med 2004;141(5):352-359.
36. Johnson CD, Chen MH, Toledano AY, et al. Accuracy of CT colonography for detection of large adenomas and cancers. N Engl J Med 2008;359(12):1207-1217.
37. Arnesen RB, Adamsen S, Svendsen LB, Raaschou HO, von Benzon E, Hansen OH. Missed lesions and false-positive findings on computed-tomographic colonography: a controlled prospective analysis. Endoscopy 2005;37(10):937-944.
38. Levin B, Lieberman DA, McFarland B, et al. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. CA Cancer J Clin 2008;58(3):130-160.
39. American College of Radiology. ACR practice guideline for the performance of computed tomography (CT) colonography in adults. ACR Practice Guideline 2009. http://www.acr.org/SecondaryMainMenuCategories/quality-safety/guidelines/ dx/gastro/ct-colonography .aspx. Accessed March 6, 2010.