Literature DB >> 21084409

Incremental benefit of computer-aided detection when used as a second and concurrent reader of CT colonographic data: multiobserver study.

Steve Halligan1, Susan Mallett, Douglas G Altman, Justine McQuillan, Maria Proud, Gareth Beddoe, Lesley Honeyfield, Stuart A Taylor.   

Abstract

PURPOSE: To quantify the changes in reader performance levels, if any, during interpretation of computed tomographic (CT) colonographic data when a computer-aided detection (CAD) system is used as a second or concurrent reader.
MATERIALS AND METHODS: After institutional review board approval was obtained, 16 experienced radiologists searched for polyps in 112 patients, 56 of whom had 132 polyps. Each case was interpreted on three separate occasions by using an unassisted (without CAD), second-read CAD, or concurrent CAD reading paradigm. The reading paradigm and case order were randomized, with a minimal interval of 1 month between consecutive interpretations. The readers' findings were compared with the reference-truth interpretation. The mean per-patient sensitivity and mean per-patient specificity with CAD were compared with those achieved with unassisted reading. An increase in per-patient sensitivity was considered to be clinically more important than an equivalent decrease in specificity.
RESULTS: The mean per-patient sensitivity for identification of patients with polyps of any size increased significantly with use of second-read CAD (mean increase, 7.0%; 95% confidence interval [CI]: 4.0%, 9.8%) and concurrent CAD (mean increase, 4.5%; 95% CI: 0.8%, 8.2%). The mean per-patient specificity did not decrease significantly with use of second-read CAD (mean decrease, -2.5%; 95% CI: -5.2%, 0.1%) or concurrent CAD (mean decrease, -2.2%; 95% CI: -4.6%, 0.2%). With analysis restricted to patients with polyps 6 mm or larger, the benefit in sensitivity with second-read CAD remained (mean increase, 7.1%; 95% CI: 3.0%, 11.1%), whereas the increase with concurrent CAD was not significant (mean increase, 4.2%; 95% CI: -0.5%, 8.9%). Use of second-read CAD significantly increased the per-polyp sensitivity for polyps 6 mm or larger (mean increase, 9.0%; 98.3% CI: 4.9%, 12.8%) and polyps 5 mm or smaller (mean increase, 5.9%; 98.3% CI: 3.2%, 9.1%), but use of concurrent CAD increased the per-polyp sensitivity for only those polyps 5 mm or smaller (mean increase, 4.8%; 98.3% CI: 2.2%, 7.9%).
CONCLUSION: Use of second-read CAD significantly improves readers' per-patient and per-polyp detection. Concurrent CAD is less effective. SUPPLEMENTAL MATERIAL: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.10100354/-/DC1. © RSNA, 2010

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Year:  2010        PMID: 21084409     DOI: 10.1148/radiol.10100354

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  23 in total

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4.  The future developments in gastrointestinal radiology.

Authors:  Emma L Helbren; Andrew A Plumb; Stuart A Taylor
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5.  Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression.

Authors:  Kevin M Cherry; Brandon Peplinski; Lauren Kim; Shijun Wang; Le Lu; Weidong Zhang; Jianfei Liu; Zhuoshi Wei; Ronald M Summers
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6.  CT colonography: effect of computer-aided detection of colonic polyps as a second and concurrent reader for general radiologists with moderate experience in CT colonography.

Authors:  Thomas Mang; Luca Bogoni; Vikram X Anand; Dass Chandra; Andrew J Curtin; Anna S Lev-Toaff; Gerardo Hermosillo; Ralph Noah; Vikas Raykar; Marcos Salganicoff; Robert Shaw; Susan Summerton; Rafel F R Tappouni; Helmut Ringel; Michael Weber; Matthias Wolf; Nancy A Obuchowski
Journal:  Eur Radiol       Date:  2014-05-10       Impact factor: 5.315

7.  Comparative performance of a primary-reader and second-reader paradigm of computer-aided detection for CT colonography in a low-prevalence screening population.

Authors:  Mototaka Miyake; Gen Iinuma; Stuart A Taylor; Steve Halligan; Tsuyoshi Morimoto; Tamaki Ichikawa; Hideto Tomimatsu; Gareth Beddoe; Kazuro Sugimura; Yasuaki Arai
Journal:  Jpn J Radiol       Date:  2013-02-19       Impact factor: 2.374

8.  Time-efficient CT colonography interpretation using an advanced image-gallery-based, computer-aided "first-reader" workflow for the detection of colorectal adenomas.

Authors:  Thomas Mang; Gerardo Hermosillo; Matthias Wolf; Luca Bogoni; Marcos Salganicoff; Vikas Raykar; Helmut Ringl; Michael Weber; Christina Mueller-Mang; Anno Graser
Journal:  Eur Radiol       Date:  2012-08-18       Impact factor: 5.315

9.  Towards a framework for analysis of eye-tracking studies in the three dimensional environment: a study of visual search by experienced readers of endoluminal CT colonography.

Authors:  E Helbren; S Halligan; P Phillips; D Boone; T R Fanshawe; S A Taylor; D Manning; A Gale; D G Altman; S Mallett
Journal:  Br J Radiol       Date:  2014-02-20       Impact factor: 3.039

10.  Do prevalence expectations affect patterns of visual search and decision-making in interpreting CT colonography endoluminal videos?

Authors:  Thomas R Fanshawe; Peter Phillips; Andrew Plumb; Emma Helbren; Steve Halligan; Stuart A Taylor; Alastair Gale; Susan Mallett
Journal:  Br J Radiol       Date:  2016-02-23       Impact factor: 3.039

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