Virtual dissection CT colonography: evaluation of learning curves and reading times with and without computer-aided detection.

Full Abstract

PURPOSE:
To prospectively evaluate the learning curves and reading times of inexperienced readers who used the virtual dissection reading method for retrospective computed tomographic (CT) colonography data sets, with and without concurrent computer-aided detection (CAD).

MATERIALS AND METHODS:
An Institutional Review Board approved this study; informed consent was waived. Four radiologists without experience in CT colonography evaluated 100 optical colonoscopy-proved data sets of 100 patients (49 men, 51 women; mean age, 59 years +/- 13 [standard deviation]; range, 21-85 years) by using the virtual dissection reading method. Two readers used concurrent CAD. Data sets were read during five consecutive 1-day sessions (20 data sets per session). Polyp detection and false-positive rates, receiver operating characteristics (ROCs), and reading times were calculated for individual, CAD group, and non-CAD group readings. Diagnostic values were compared by calculating the 95% confidence intervals (CIs) around the relative risk. Areas under ROC curves (AUCs) (Hanley and McNeil for paired analysis and z statistics for unpaired analysis) and reading times (Wilcoxon signed rank test) were compared across the sessions, within each session and for the whole study.

RESULTS:
The range of detection rates was 79 of 111 (.71 [95%

CI:
.61, .79]) to 91 of 111 (.82 [95%

CI:
.73, .88]). The range of false-positive rates was 17 of 111 (.15 [95%

CI:
.09, .23]) to 22 of 111 (.20 [95%

CI:
.12, .28]). All readers' AUCs rose from session 1 to session 4; this rise was significant (P < .05) for the non-CAD group. Only during session 1 was the CAD group AUC (.83) higher than the non-CAD group AUC (.54) (P < .05). Comparison of CAD and non-CAD reading times showed no significant difference for the whole study or during each session (P > .05).

CONCLUSION:
The virtual dissection reading technique allows short learning curves, which may be improved by the concurrent use of CAD, without significant effect on average reading time.RSNA, 2008

Learn Faster Today Improve your study skills

Author information

Author/s: Hock, Danielle (D); Ouhadi, Roxanne (R); Materne, Roland (R); Aouchria, Amir-Samy (AS); Mancini, Isabelle (I); Broussaud, Thomas (T); Magotteaux, Paul (P); Nchimi, Alain (A);

Affiliation: Department of Medical Imaging, Clinique Saint-Joseph, Rue de Hesbaye, 75, 4000 Liège, Belgium. Danielle.hock(-atsign-)chc.be

Journal and publication information

Publication Type: Evaluation Studies; Journal Article

Journal: Radiology (Radiology), published in United States. (Language: eng)

Reference: 2008-Sep; vol 248 (issue 3) : pp 860-8

Dates: Created 2008/08/19; Completed 2008/09/15;

PMID: 18710980, status: MEDLINE (last retrieval date: 11/6/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

External Links for this article (including full text providers, if available):

Click Electronic Full-text Provider Links to see options for finding the electronic full text links to this article. Note there may be a subscription or fee required for access to the full text. See our FAQ for information on finding FREE full text articles.

This article may also be located in paper journal collections available in many libraries. Use the Journal and Publication Information above to find the full article.

MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Adult
Aged
Aged, 80 and over
Artificial Intelligence
Colonic Polyps - radiography
Colonography, Computed Tomographic - methods
Female
Humans
Male

Middle Aged
Observer Variation
Professional Competence
Radiographic Image Interpretation, Computer-Assisted - methods
Reproducibility of Results
Sensitivity and Specificity
Task Performance and Analysis
Time Factors
User-Computer Interface

These are the highest related articles currently in the database:

See 100+ related articles.