Clinical Radiology
Volume 64, Issue 10 , Pages 972-982 , October 2009

Computer-aided detection (CAD) as a second reader using perspective filet view at CT colonography: effect on performance of inexperienced readers

  • V.A. Fisichella

      Affiliations

    • Department of Radiology, Sahlgrenska University Hospital and Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
    • Corresponding Author InformationGuarantor and correspondent: V. Fisichella, Department of Radiology, Sahlgrenska University Hospital, Bruna Stråket 11, 41342 Gothenburg, Sweden. Tel.: +46 31 3427181; fax: +46 31 822995.
  • ,
  • F. Jäderling

      Affiliations

    • Department of Radiology, St. Göran's Hospital, Stockholm, Sweden
  • ,
  • S. Horvath

      Affiliations

    • Department of Radiology, Sahlgrenska University Hospital and Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
  • ,
  • P.-O. Stotzer

      Affiliations

    • Department of Gastroenterology, Sahlgrenska University Hospital, Gothenburg, Sweden
  • ,
  • A. Kilander

      Affiliations

    • Department of Gastroenterology, Sahlgrenska University Hospital, Gothenburg, Sweden
  • ,
  • M. Båth

      Affiliations

    • Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden
  • ,
  • M. Hellström

      Affiliations

    • Department of Radiology, Sahlgrenska University Hospital and Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden

Received 1 December 2008 ,Revised 27 April 2009 ,Accepted 5 May 2009.

References 

  1. Juchems MS, Fleiter TR, Pauls S, et al. CT colonography: comparison of a colon dissection display versus 3D endoluminal view for the detection of polyps. Eur Radiol. 2006;16:68–72
  2. Carrascosa P, Capuñay C, Martín López E, et al. Multidetector CT colonoscopy: evaluation of the perspective-filet view virtual colon dissection technique for the detection of elevated lesions. Abdom Imaging. 2007;32:582–588
  3. Kim SH, Lee JM, Eun HW, et al. Two- versus three-dimensional colon evaluation with recently developed virtual dissection software for CT colonography. Radiology. 2007;244:852–864
  4. Hoppe H, Quattropani C, Spreng A, et al. Virtual colon dissection with CT-colonography compared with axial interpretation and conventional colonoscopy: preliminary results. AJR Am J Roentgenol. 2004;182:1151–1158
  5. Johnson CD, Fletcher JG, MacCarthy RL, et al. Effect of slice thickness and primary 2D versus 3D virtual dissection on colorectal lesion detection at CT colonography in 452 asymptomatic adults. AJR Am J Roentgenol. 2007;189:672–680
  6. Fisichella V, Jäderling F, Horvath S, et al. Primary 2D analysis versus primary 3D analysis with perspective-filet view: lesion detection by inexperienced readers at CT colonography in symptomatic patients. Acta Radiol. 2009;50:244–255
  7. Halligan S, Altman DG, Mallett S, et al. Computed tomographic colonography: assessment of radiologist performance with and without computer-aided detection. Gastroenterology. 2006;131:1690–1699
  8. 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;245:140–149
  9. 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;17:2598–2607
  10. Petrick N, Haider M, Summers RM, et al. CT colonography with computer-aided detection as a second reader: observer performance study. Radiology. 2008;246:148–156
  11. 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;248:860–868
  12. Taylor SA, Charman SC, Lefere P, et al. CT colonography: investigation of the optimum reader paradigm by using computer-aided detection software. Radiology. 2008;246:463–471
  13. Burling D, Moore A, Marshall M, et al. Virtual colonoscopy: effect of computer-assisted detection (CAD) on radiographer performance. Clin Radiol. 2008;63:549–556
  14. 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;349:2191–2200
  15. Halligan S, Taylor SA, Dehmeshki J, et al. Computer-assisted detection for CT colonography: external validation. Clin Radiol. 2006;61:758–763
  16. Altman DG, Royston P. What do we mean by validating a prognostic model?. Stat Med. 2000;19:453–473
  17. Chakraborty DP. JAFROC-1 software. Available from: http://www.devchakraborty.com[accessed 28.11.08]
  18. Chakraborty DP. Validation and statistical power comparison of methods for analyzing free-response observer performance studies. Acad Radiol. 2008;15:1554–1566
  19. Chakraborty DP, Berbaum KS. Observer studies involving detection and localization: modeling, analysis and validation. Med Phys. 2004;31:2313–2330
  20. Ruschin M, Timberg P, Båth M, et al. Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies. Med Phys. 2007;34:400–407
  21. Vikgren J, Zachrisson S, Svalkvist A, et al. Comparison of chest tomosynthesis and chest radiography for detection of pulmonary nodules: human observer study of clinical cases. Radiology. 2008;249:1034–1041
  22. Edwards DC, Kupinski MA, Metz CE, et al. Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model. Med Phys. 2002;29:2861–2870
  23. Pesce LL, Metz CE. Reliable and computationally efficient maximum-likelihood estimation of “proper” binormal ROC curves. Acad Radiol. 2007;14:814–829
  24. Kurt Rossmann Laboratories for Radiologic Image Research at the University of Chicago . Available from: http://www-radiology.uchicago.edu/krl/KRL_ROC/software_index6.htm[accessed 28.11.08]
  25. Yoon HJ, Zheng B, Sahiner B, et al. Evaluating computer-aided detection algorithms. Med Phys. 2007;34:2024–2038
  26. Yoshida H, Näppi J, MacEneaney P, et al. Computer-aided diagnosis scheme for detection of polyps at CT colonography. Radiographics. 2002;22:963–979
  27. Summers RM, Yao J, Pickhardt PJ, et al. Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population. Gastroenterology. 2005;129:1832–1844
  28. 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;186:696–702
  29. Summers RM, Handwerker LR, Pickhardt PJ, et al. Performance of a previously validated CT colonography computer-aided detection system in a new patient population. AJR Am J Roentgenol. 2008;191:168–174
  30. Taylor SA, Burling D, Roddie M, et al. Computer-aided detection for CT colonography: incremental benefit of observer training. Br J Radiol. 2008;81:180–186
  31. 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;28:318–326

PII: S0009-9260(09)00216-5

doi: 10.1016/j.crad.2009.05.012

Clinical Radiology
Volume 64, Issue 10 , Pages 972-982 , October 2009