Skip to main content
Log in

Effect of computer-aided detection as a second reader in multidetector-row CT colonography

  • Gastrointestinal
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Our purpose was to assess the effect of computer-aided detection (CAD) on lesion detection as a second reader in computed tomographic colonography, and to compare the influence of CAD on the performance of readers with different levels of expertise. Fifty-two CT colonography patient data-sets (37 patients: 55 endoscopically confirmed polyps ≥0.5 cm, seven cancers; 15 patients: no abnormalities) were retrospectively reviewed by four radiologists (two expert, two nonexpert). After primary data evaluation, a second reading augmented with findings of CAD (polyp-enhanced view, Siemens) was performed. Sensitivities and reading time were calculated for each reader without CAD and supported by CAD findings. The sensitivity of expert readers was 91% each, and of nonexpert readers, 76% and 75%, respectively, for polyp detection. CAD increased the sensitivity of expert readers to 96% (P = 0.25) and 93% (P = 1), and that of nonexpert readers to 91% (P = 0.008) and 95% (P = 0.001), respectively. All four readers diagnosed 100% of cancers, but CAD alone only 43%. CAD increased reading time by 2.1 min (mean). CAD as a second reader significantly improves sensitivity for polyp detection in a high disease prevalence population for nonexpert readers. CAD causes a modest increase in reading time. CAD is of limited value in the detection of cancer.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1 a,b
Fig. 2 a,b
Fig. 3 a,b
Fig. 4 a,b
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Taylor SA, Laghi A, Lefere P, Halligan S, Stoker J (2006) European society of gastrointestinal and abdominal radiology (ESGAR): consensus statement on CT colonography. Eur Radiol 17:575–579

    Article  Google Scholar 

  2. Halligan S, Altman DG, Taylor SA, Mallett S, Deeks JJ, Bartram CI, Atkin W (2005) CT colonography in the detection of colorectal polyps and cancer: systematic review, meta-analysis, and proposed minimum data set for study level reporting. Radiology 237:893–904

    Article  PubMed  Google Scholar 

  3. Cotton PB, Durkalski VL, Pineau BC, Palesch YY, Mauldin PD, Hoffman B, Vining DJ, Small WC, Affronti J, Rex D, Kopecky KK, Ackerman S, Burdick JS, Brewington C, Turner MA, Zfass A, Wright AR, Iyer RB, Lynch P, Sivak MV, Butler H (2004) Computed tomographic colonography (virtual colonoscopy): a multicenter comparison with standard colonoscopy for detection of colorectal neoplasia. JAMA 291:1713–1719

    Article  PubMed  CAS  Google Scholar 

  4. Johnson CD, Harmsen WS, Wilson LA, Maccarty RL, Welch TJ, Ilstrup DM, Ahlquist DA (2003) Prospective blinded evaluation of computed tomographic colonography for screen detection of colorectal polyps. Gastroenterology 125:311–319

    Article  PubMed  Google Scholar 

  5. Pickhardt PJ, Choi JR, Hwang I, Butler JA, Puckett ML, Hildebrandt HA, Wong RK, Nugent PA, Mysliwiec PA, Schindler WR (2003) Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. N Engl J Med 349:2191–2200

    Article  PubMed  CAS  Google Scholar 

  6. Rockey DC, Paulson E, Niedzwiecki D, Davis W, Bosworth HB, Sanders L, Yee J, Henderson J, Hatten P, Burdick S, Sanyal A, Rubin DT, Sterling M, Akerkar G, Bhutani MS, Binmoeller K, Garvie J, Bini EJ, McQuaid K, Foster WL, Thompson WM, Dachman A, Halvorsen R (2005) Analysis of air contrast barium enema, computed tomographic colonography, and colonoscopy: prospective comparison. Lancet 365:305–311

    PubMed  CAS  Google Scholar 

  7. Ferrucci JT (2005) Colonoscopy: virtual and optical-another look, another view. Radiology 235:13–16

    Article  PubMed  Google Scholar 

  8. Halligan S, Atkin W (2005) Unbiased studies are needed before virtual colonoscopy can be dismissed. Lancet 365:275–276

    PubMed  Google Scholar 

  9. Gluecker T, Meuwly JY, Pescatore P, Schnyder P, Delarive J, Jornod P, Meuli R, Dorta G (2002) Effect of investigator experience in CT colonography. Eur Radiol 12:1405–1409

    Article  PubMed  Google Scholar 

  10. Taylor SA, Halligan S, Burling D, Morley S, Bassett P, Atkin W, Bartram CI (2004) CT colonography: effect of experience and training on reader performance. Eur Radiol 14:1025–1033

    Article  PubMed  Google Scholar 

  11. Slater A, Taylor SA, Tam E, Gartner L, Scarth J, Peiris C, Gupta A, Marshall M, Burling D, Halligan S (2006) Reader error during CT colonography: causes and implications for training. Eur Radiol 16:2275–2283

    Article  PubMed  Google Scholar 

  12. Pickhardt PJ (2003) Three-dimensional endoluminal CT colonography (virtual colonoscopy): comparison of three commercially available systems. AJR Am J Roentgenol 181:1599–1606

    PubMed  Google Scholar 

  13. Yoshida H, Dachman AH (2005) CAD techniques, challenges, and controversies in computed tomographic colonography. Abdom Imaging 30:26–41

    Article  PubMed  CAS  Google Scholar 

  14. Yoshida H, Nappi J, MacEneaney P, Rubin DT, Dachman AH (2002) Computer-aided diagnosis scheme for detection of polyps at CT colonography. Radiographics 22:963–979

    PubMed  Google Scholar 

  15. Bogoni L, Cathier P, Dundar M, Jerebko A, Lakare S, Liang J, Periaswamy S, Baker ME, Macari M (2005) Computer-aided detection (CAD) for CT colonography: a tool to address a growing need. Br J Radiol 78(Spec No 1):S57–S62

    Article  PubMed  Google Scholar 

  16. Summers RM, Jerebko AK, Franaszek M, Malley JD, Johnson CD (2002) Colonic polyps: complementary role of computer-aided detection in CT colonography. Radiology 225:391–399

    Article  PubMed  Google Scholar 

  17. Taylor SA, Halligan S, Burling D, Roddie ME, Honeyfield L, McQuillan J, Amin H, Dehmeshki J (2006) Computer-assisted reader software versus expert reviewers for polyp detection on CT colonography. AJR Am J Roentgenol 186:696–702

    Article  PubMed  Google Scholar 

  18. Fidler JL, Johnson CD, MacCarty RL, Welch TJ, Hara AK, Harmsen WS (2002) Detection of flat lesions in the colon with CT colonography. Abdom Imaging 27:292–300

    PubMed  CAS  Google Scholar 

  19. Pickhardt PJ, Nugent PA, Choi JR, Schindler WR (2004) Flat colorectal lesions in asymptomatic adults: implications for screening with CT virtual colonoscopy. AJR Am J Roentgenol 183:1343–1347

    PubMed  Google Scholar 

  20. Newcombe RG (1998) Improved confidence intervals for the difference between binomial proportions based on paired data. Stat Med 17:2635–2650

    Article  PubMed  CAS  Google Scholar 

  21. Soto JA, Barish MA, Yee J (2005) Reader training in CT colonography: how much is enough? Radiology 237:26–27

    Article  PubMed  Google Scholar 

  22. van Dam J, Cotton P, Johnson CD, McFarland BG, Pineau BC, Provenzale D, Ransohoff D, Rex D, Rockey D, Wootton FT 3rd (2004) AGA future trends report: CT colonography. Gastroenterology 127:970–984

    Article  PubMed  Google Scholar 

  23. Summers RM, Yao J, Pickhardt PJ, Franaszek M, Bitter I, Brickman D, Krishna V, Choi JR (2005) Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population. Gastroenterology 129:1832–1844

    Article  PubMed  Google Scholar 

  24. Yoshida H, Dachman AH (2004) Computer-aided diagnosis for CT colonography. Semin Ultrasound CT MR 25:419–431

    Article  PubMed  Google Scholar 

  25. Mani A, Napel S, Paik DS, Jeffrey RB Jr, Yee J, Olcott EW, Prokesch R, Davila M, Schraedley-Desmond P, Beaulieu CF (2004) Computed tomography colonography: feasibility of computer-aided polyp detection in a “first reader” paradigm. J Comput Assist Tomogr 28:318–326

    Article  PubMed  Google Scholar 

  26. Taylor SA, Halligan S, Slater A, Goh V, Burling DN, Roddie ME, Honeyfield L, McQuillan J, Amin H, Dehmeshki J (2006) Polyp detection with CT colonography: primary 3D endoluminal analysis versus primary 2D transverse analysis with computer-assisted reader software. Radiology 239:759–767

    Article  PubMed  Google Scholar 

  27. Kiss G, Van Cleynenbreugel J, Thomeer M, Suetens P, Marchal G (2002) Computer-aided diagnosis in virtual colonography via combination of surface normal and sphere fitting methods. Eur Radiol 12:77–81

    Article  PubMed  Google Scholar 

  28. Nicholson FB, Barro JL, Bartram CI, Dehmeshki J, Halligan S, Taylor S, Kamm MA (2005) The role of CT colonography in colorectal cancer screening. Am J Gastroenterol 100:2315–2323

    Article  PubMed  Google Scholar 

  29. Burling D, Halligan S, Altman DG, Atkin W, Bartram C, Fenlon H, Laghi A, Stoker J, Taylor S, Frost R, Dessey G, De Villiers M, Florie J, Foley S, Honeyfield L, Iannaccone R, Gallo T, Kay C, Lefere P, Lowe A, Mangiapane F, Marrannes J, Neri E, Nieddu G, Nicholson D, O’Hare A, Ori S, Politi B, Poulus M, Regge D, Renaut L, Rudralingham V, Signoretta S, Vagli P, Van der Hulst V, Williams-Butt J (2006) CT colonography interpretation times: effect of reader experience, fatigue, and scan findings in a multi-centre setting. Eur Radiol 16:1745–1749

    Article  PubMed  Google Scholar 

  30. Oto A, Gelebek V, Oguz BS, Sivri B, Deger A, Akhan O, Besim A (2003) CT attenuation of colorectal polypoid lesions: evaluation of contrast enhancement in CT colonography. Eur Radiol 13:1657–1663

    Article  PubMed  Google Scholar 

  31. Luboldt W, Mann C, Tryon CL, Vonthein R, Stueker D, Kroll M, Luz O, Claussen CD, Vogl TJ (2002) Computer-aided diagnosis in contrast-enhanced CT colonography: an approach based on contrast. Eur Radiol 12:2236–2241

    PubMed  Google Scholar 

  32. Luboldt W, Tryon C, Kroll M, Toussaint TL, Holzer K, Hoepffner N, Vogl TJ (2005) Automated mass detection in contrast-enhanced CT colonography: an approach based on contrast and volume. Eur Radiol 15:247–253

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas Mang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mang, T., Peloschek, P., Plank, C. et al. Effect of computer-aided detection as a second reader in multidetector-row CT colonography. Eur Radiol 17, 2598–2607 (2007). https://doi.org/10.1007/s00330-007-0608-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-007-0608-z

Keywords

Navigation