Computed Tomography Colonography: Feasibility of Computer-Aided Polyp Detection in a "First Reader" Paradigm

Journal of Computer Assisted Tomography

Volumn 28, Issue 3, 2004, Pages 318-326

  Mani, Aravind ^a   Napel, Sandy ^a   Paik, David S ^a   Jeffrey, R Brooke ^a   Yee, Judy ^b,c   Olcott, Eric W ^a,d   Prokesch, Rupert ^a,e   Davila, Marta ^a   Schraedley Desmond, Pamela ^a   Beaulieu, Christopher F ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c VETERANS AFFAIRS MEDICAL CENTER   (United States)

^d VA PALO ALTO HEALTH CARE SYSTEM   (United States)

^e UNIVERSITY OF VIENNA   (Austria)

Author keywords

Colon; Computed tomography colonography; Computer aided diagnosis; Interpretation accuracy; Interpretation efficiency; Polyps; Virtual colonoscopy

Indexed keywords

COMPUTERIZED TOMOGRAPHY;

COLON; COMPUTED TOMOGRAPHY COLONOGRAPHY; COMPUTER AIDED DETECTION; IN-PHASE; INTEROBSERVER VARIABILITY; INTERPRETATION ACCURACY; INTERPRETATION EFFICIENCY; INTRA-OBSERVER VARIABILITY; POLYP; VIRTUAL COLONOSCOPY;

COMPUTER AIDED DIAGNOSIS;

ADULT; AGED; ALGORITHM; ARTICLE; CLINICAL ARTICLE; CLINICAL TRIAL; COLON POLYP; COLONOSCOPY; COMPUTED TOMOGRAPHIC COLONOGRAPHY; COMPUTER ANALYSIS; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; FEASIBILITY STUDY; FEMALE; HUMAN; IMAGE ANALYSIS; MALE; OBSERVER VARIATION; PRIORITY JOURNAL; RADIOLOGIST; SENSITIVITY AND SPECIFICITY; TIME;

EID: 2342549663     PISSN: 03638715     EISSN: None     Source Type: Journal    
DOI: 10.1097/00004728-200405000-00003     Document Type: Article

References (60)

1. Kronborg O. Colon polyps and cancer. Endoscopy. 2000;32:124-130.
2. Bond JH. Screening guidelines for colorectal cancer. Am J Med. 1999;106(Suppl):7S-10S.
3. Sonnenberg A, Delco F, Bauerfeind P. Is virtual colonoscopy a cost-effective option to screen for colorectal cancer? Am J Gastroenterol. 1999;94:2268-2274.
4. Ransohoff DF, Sandler RS. Clinical practice. Screening for colorectal cancer. N Engl J Med. 2002;346:40-44.
5. Fenlon HM, et al. A comparison of virtual and conventional colonoscopy for the detection of colorectal polyps [see comments]. N Engl J Med. 1999;341:1496-1503 [published erratum appears in N Engl J Med. 2000;342(7):524].
6. Fenlon HM, et al. A comparison of virtual and conventional colonoscopy for the detection of colorectal polyps [see comments]. N Engl J Med. 1999;341:1496-1503 [published erratum appears in N Engl J Med. 2000;342(7):524].
7. Yee J, et al. Colorectal neoplasia: performance characteristics of CT colonography for detection in 300 patients. Radiology. 2001;219:685-692.
8. Macari M, et al. Colorectal neoplasms: prospective comparison of thin-section low-dose multi-detector row CT colonography and conventional colonoscopy for detection. Radiology. 2002;224:383-392.
9. Pickhardt PJ, et al. Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. N Engl J Med. 2003;349: 2191-2200.
10. Fenlon HM, Ferrucci JT. Virtual colonoscopy: what will the issues be? AJR Am J Roentgenol 1997;169:453-458.
11. McFarland EG, Brink JA. Helical CT colonography (virtual colonoscopy): the challenge that exists between advancing technology and generalizability. AJR Am J Roentgenol. 1999;173:549-559.
12. Dachman AH, et al. CT colonography with three-dimensional problem solving for detection of colonic polyps. AJR Am J Roentgenol. 1998;171: 989-995.
13. Macari M, et al. Comparison of time-efficient CT colonography with two-and three-dimensional colonic evaluation for detecting colorectal polyps. AJR Am J Roentgenol. 2000;174:1543-1549.
14. Beaulieu CF, et al. Display modes for CT colonography. Part II. Blinded comparison of axial CT and virtual endoscopic and panoramic endoscopic volume-rendered studies. Radiology. 1999;212:203-212.
15. Johnson CD, et al. CT colonography: performance evaluation in a multicenter setting (American College of Radiology Imaging Network Study 6653). Radiology. 2001;221(P):308.
16. Rex DK. Colonoscopy. Gastrointest Endosc Clin North Am. 2000;10: 135-160, viii.
17. Johnson CD, et al. Prospective blinded evaluation of computed tomographic colonography for screen detection of colorectal polyps. Gastroenterology. 2003;125:311-319.
18. McFarland EG, et al. CT colonography: multiobserver diagnostic performance. Radiology. 2002;225:380-390.
19. Fidler JL, et al. Detection of flat lesions in the colon with CT colonography. Abdom Imaging. 2002;27:292-300.
20. Jiang Y, et al. Potential of computer-aided diagnosis to reduce variability in radiologists' interpretations of mammograms depicting microcalcifications. Radiology. 2001;220:787-794.
21. Paik DS, et al. Detection of polyps in CT colonography: a comparison of a computer-aided detection algorithm to 3D visualization methods. Radiology. 1999;213(P):197.
22. Paik DS, et al. Evaluation of computer-aided detection in CT colonography: potential applicability to a screening population. Radiology. 2001;221(P):332.
23. Summers RM, et al. Automated polyp detector for CT colonography: feasibility study. Radiology. 2000;216:284-290.
24. Summers RM, et al. Automated polyp detection at CT colonography: feasibility assessment in a human population. Radiology. 2001;219:51-59.
25. Yoshida H, et al. Computerized detection of colonic polyps at CT colonography on the basis of volumetric features: pilot study. Radiology. 2002;222:327-336.
26. Kiss G, et al. Computer-aided diagnosis in virtual colonography via combination of surface normal and sphere fitting methods. Eur Radiol. 2002; 12:77-81.
27. Summers RM, et al. Colonic polyps: complementary role of computer-aided detection in CT colonography. Radiology. 2002;225:391-399.
28. Macari M, et al. Effect of different bowel preparations on residual fluid at CT colonography. Radiology. 2001;218:274-277.
29. Chen SC, et al. CT colonography: value of scanning in both the supine and prone positions. AJR Am J Roentgenol. 1999;172:595-599.
30. Fletcher JG, et al. Optimization of CT colonography technique: prospective trial in 180 patients. Radiology. 2000;216:704-711.
31. Yee J, et al. The usefulness of glucagon hydrochloride for colonic distention in CT colonography [see comments]. AJR Am J Roentgenol. 1999; 173:169-172.
32. Yee J, et al. Comparison of supine and prone scanning separately and in combination at CT colonography. Radiology. 2003;226:653-661.
33. Paik DS, et al. Optimization and evaluation of a computer aided detection (CAD) algorithm for both colonic polyps and lung nodules in CT. Radiology. 2002;225(P):256.
34. Paik DS, et al. A computer-aided detection algorithm for colonic polyps and lung nodules in helical CT. IEEE Trans Med Imaging. (Submitted).
35. Masutani Y, et al. Automated segmentation of colonic walls for computerized detection of polyps in CT colonography. J Comput Assist Tomogr. 2001;25:629-638.
36. Canny J. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1986;8:679-698.
37. Royster AP, et al. CT colonoscopy of colorectal neoplasms: two-dimensional and three-dimensional virtual-reality techniques with colonoscopic correlation. AJR Am J Roentgenol. 1997;169:1237-1242.
38. Hara AK, et al. Detection of colorectal polyps with CT colography: initial assessment of sensitivity and specificity. Radiology. 1997;205:59-65.
39. Glick SN. Comparison of colonoscopy and double-contrast barium enema. N Engl J Med. 2000;343:1728; author reply 1729-1730.
40. Chakraborty D. Statistical power in observer-performance studies: comparison of the receiver operating characteristic and free-response methods in tasks involving localization. Acad Radiol. 2002;9:147-156.
41. Dorfman DD, Berbaum KS, Metz CE. Receiver operating characteristic rating analysis. Generalization to the population of readers and patients with the jackknife method. Invest Radiol. 1992;27:723-731.
42. Armitage P, Berry G, Matthews JNS. Statistical Methods in Medical Research. 4th ed. Blackwell Science; 2002.
43. Hara AK, et al. Detection of colorectal polyps by computed tomographic colography: feasibility of a novel technique. Gastroenterology. 1996;110: 284-290.
44. Rex DK, Vining D, Kopecky KK. An initial experience with screening for colon polyps using spiral CT with and without CT colography (virtual colonoscopy) [see comments]. Gastrointest Endosc. 1999;50:309-313.
45. Hara AK, et al. Colorectal polyp detection with CT colography: two-versus three-dimensional techniques. Work in progress [see comments]. Radiology. 1996;200:49-54.
46. McFarland EG, et al. Visualization of colorectal polyps with spiral CT colography: evaluation of processing parameters with perspective volume rendering. Radiology. 1997;205:701-707.
47. Beaulieu CF, et al. Detection of colonic polyps in a phantom model: implications for virtual colonoscopy data acquisition. J Comput Assist Tomogr. 1998;22:656-663.
48. Morrin MM, et al. Utility of intravenously administered contrast material at CT colonography. Radiology. 2000;217:765-771.
49. Rogalla P, Meiri N. CT colonography: data acquisition and patient preparation techniques. Semin Ultrasound CT MR. 2001;22:405-412.
50. Whiting BR, McFarland EG, Brink JA. Influence of image acquisition parameters on CT artifacts and polyp depiction in spiral CT colonography: in vitro evaluation. Radiology. 2000;217:165-172.
51. Rex DK. Virtual colonoscopy: time for some tough questions for radiologists and gastroenterologists. [editorial; comment]. Endoscopy. 2000;32: 260-263.
52. McFarland EG, et al. Spiral CT colonography: reader agreement and diagnostic performance with two- and three-dimensional image-display techniques. Radiology. 2001;218:375-383.
53. Pescatore P, et al. Diagnostic accuracy and interobserver agreement of CT colonography (virtual colonoscopy). Gut. 2000;47:126-130.
54. Giger ML, Karssemeijer N, Armato SG III. Computer-aided diagnosis in medical imaging. IEEE Trans Med Imaging. 2001;20:1205-1208.
55. Doi K, et al. Computer-aided diagnosis in radiology: potential and pitfalls. Eur J Radiol. 1999;31:97-109.
56. Hung PW, et al. Quantification of distention in CT colonography: development and validation of three computer algorithms. Radiology. 2002; 222:543-554.
57. Acar B, et al., Registration of supine and prone CT colonography data: method and evaluation. Radiology. 2001;221(P):332.
58. Acar B, et al. Medial axis registration of supine and prone CT colonography data. Presented at the 23rd International Conference of the IEEE Engineering in Medicine and Biology Society, Istanbul, 2001.
59. Li P, et al. A statistical approach for registration of polyps detected in prone and supine CT colonography (CTC). Radiology. 2002;225(P):406.
60. Paik DS, et al. Visualization modes for CT colonography using cylindrical and planar map projections. J Comput Assist Tomogr. 2000;24:179-188.