Literature DB >> 18661210

Computer-aided detection in computed tomography colonography: current status and problems with detection of early colorectal cancer.

Tsuyoshi Morimoto1, Gen Iinuma, Junji Shiraishi, Yasuaki Arai, Noriyuki Moriyama, Gareth Beddoe, Yasuo Nakijima.   

Abstract

PURPOSE: The aim of this study was to evaluate the usefulness of computer-aided detection (CAD) in diagnosing early colorectal cancer using computed tomography colonography (CTC).
MATERIALS AND METHODS: A total of 30 CTC data sets for 30 early colorectal cancers in 30 patients were retrospectively reviewed by three radiologists. After primary evaluation, a second reading was performed using CAD findings. The readers evaluated each colorectal segment for the presence or absence of colorectal cancer using five confidence rating levels. To compare the assessment results, the sensitivity and specificity with and without CAD were calculated on the basis of the confidence rating, and differences in these variables were analyzed by receiver operating characteristic (ROC) analysis.
RESULTS: The average sensitivities for the detection without and with CAD for the three readers were 81.6% and 75.6%, respectively. Among the three readers, only one reader improved sensitivity with CAD compared to that without. CAD decreased specificity in all three readers. CAD detected 100% of protruding lesions but only 69.2% of flat lesions. On ROC analysis, the diagnostic performance of all three readers was decreased by use of CAD.
CONCLUSION: Currently available CAD with CTC does not improve diagnostic performance for detecting early colorectal cancer. An improved CAD algorithm is required for detecting flat lesions and reducing the false-positive rate.

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Year:  2008        PMID: 18661210     DOI: 10.1007/s11604-007-0224-5

Source DB:  PubMed          Journal:  Radiat Med        ISSN: 0288-2043


  35 in total

1.  Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults.

Authors:  Perry J Pickhardt; J Richard Choi; Inku Hwang; James A Butler; Michael L Puckett; Hans A Hildebrandt; Roy K Wong; Pamela A Nugent; Pauline A Mysliwiec; William R Schindler
Journal:  N Engl J Med       Date:  2003-12-01       Impact factor: 91.245

2.  Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population.

Authors:  Ronald M Summers; Jianhua Yao; Perry J Pickhardt; Marek Franaszek; Ingmar Bitter; Daniel Brickman; Vamsi Krishna; J Richard Choi
Journal:  Gastroenterology       Date:  2005-12       Impact factor: 22.682

3.  Improved confidence intervals for the difference between binomial proportions based on paired data.

Authors:  R G Newcombe
Journal:  Stat Med       Date:  1998-11-30       Impact factor: 2.373

4.  Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs.

Authors:  T Kobayashi; X W Xu; H MacMahon; C E Metz; K Doi
Journal:  Radiology       Date:  1996-06       Impact factor: 11.105

5.  False-negative results at multi-detector row CT colonography: multivariate analysis of causes for missed lesions.

Authors:  Seong Ho Park; Hyun Kwon Ha; Min-Jeong Kim; Kyoung Won Kim; Ah Young Kim; Dong Hyun Yang; Moon-Gyu Lee; Pyo Nyun Kim; Yong Moon Shin; Suk-Kyun Yang; Seung-Jae Myung; Young Il Min
Journal:  Radiology       Date:  2005-03-15       Impact factor: 11.105

6.  Computed tomographic colonography: assessment of radiologist performance with and without computer-aided detection.

Authors:  Steve Halligan; Douglas G Altman; Susan Mallett; Stuart A Taylor; David Burling; Mary Roddie; Lesley Honeyfield; Justine McQuillan; Hamdan Amin; Jamshid Dehmeshki
Journal:  Gastroenterology       Date:  2006-10-01       Impact factor: 22.682

7.  Computer-aided detection of colonic polyps at CT colonography using a Hessian matrix-based algorithm: preliminary study.

Authors:  Se Hyung Kim; Jeong Min Lee; Joon-Goo Lee; Jong Hyo Kim; Philippe A Lefere; Joon Koo Han; Byung Ihn Choi
Journal:  AJR Am J Roentgenol       Date:  2007-07       Impact factor: 3.959

8.  Virtual colonoscopy using oral contrast compared with colonoscopy for the detection of patients with colorectal polyps.

Authors:  Benoit C Pineau; Electra D Paskett; G John Chen; Mark A Espeland; Kim Phillips; James P Han; Claudia Mikulaninec; David J Vining
Journal:  Gastroenterology       Date:  2003-08       Impact factor: 22.682

9.  Computer-aided detection in CT colonography: initial clinical experience using a prototype system.

Authors:  A Graser; F T Kolligs; T Mang; C Schaefer; S Geisbüsch; M F Reiser; C R Becker
Journal:  Eur Radiol       Date:  2007-02-16       Impact factor: 5.315

10.  CT colonography of colorectal polyps: a metaanalysis.

Authors:  Jacob Sosna; Martina M Morrin; Jonathan B Kruskal; Philip T Lavin; Max P Rosen; Vassilios Raptopoulos
Journal:  AJR Am J Roentgenol       Date:  2003-12       Impact factor: 3.959

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  3 in total

Review 1.  Automation bias: a systematic review of frequency, effect mediators, and mitigators.

Authors:  Kate Goddard; Abdul Roudsari; Jeremy C Wyatt
Journal:  J Am Med Inform Assoc       Date:  2011-06-16       Impact factor: 4.497

2.  Efficacy of computer-aided diagnosis in lung cancer screening with low-dose spiral computed tomography: receiver operating characteristic analysis of radiologists' performance.

Authors:  Suzushi Kusano; Toru Nakagawa; Takatoshi Aoki; Takeshi Nawa; Kuniyoshi Nakashima; Yoshihiro Goto; Yukunori Korogi
Journal:  Jpn J Radiol       Date:  2010-11-27       Impact factor: 2.374

3.  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

  3 in total

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