Document Detail

Effect of computer-aided detection for CT colonography in a multireader, multicase trial.
MedLine Citation:
PMID:  20663975     Owner:  NLM     Status:  MEDLINE    
PURPOSE: To assess the effect of using computer-aided detection (CAD) in second-read mode on readers' accuracy in interpreting computed tomographic (CT) colonographic images.
MATERIALS AND METHODS: The contributing institutions performed the examinations under approval of their local institutional review board, with waiver of informed consent, for this HIPAA-compliant study. A cohort of 100 colonoscopy-proved cases was used: In 52 patients with findings positive for polyps, 74 polyps of 6 mm or larger were observed in 65 colonic segments; in 48 patients with findings negative for polyps, no polyps were found. Nineteen blinded readers interpreted each case at two different times, with and without the assistance of a commercial CAD system. The effect of CAD was assessed in segment-level and patient-level receiver operating characteristic (ROC) curve analyses.
RESULTS: Thirteen (68%) of 19 readers demonstrated higher accuracy with CAD, as measured with the segment-level area under the ROC curve (AUC). The readers' average segment-level AUC with CAD (0.758) was significantly greater (P = .015) than the average AUC in the unassisted read (0.737). Readers' per-segment, per-patient, and per-polyp sensitivity for all polyps of 6 mm or larger was higher (P < .011, .007, .005, respectively) for readings with CAD compared with unassisted readings (0.517 versus 0.465, 0.521 versus 0.466, and 0.477 versus 0.422, respectively). Sensitivity for patients with at least one large polyp of 10 mm or larger was also higher (P < .047) with CAD than without (0.777 versus 0.743). Average reader sensitivity also improved with CAD by more than 0.08 for small adenomas. Use of CAD reduced specificity of readers by 0.025 (P = .05).
CONCLUSION: Use of CAD resulted in a significant improvement in overall reader performance. CAD improves reader sensitivity when measured per segment, per patient, and per polyp for small polyps and adenomas and also reduces specificity by a small amount.
Abraham H Dachman; Nancy A Obuchowski; Jeffrey W Hoffmeister; J Louis Hinshaw; Michael I Frew; Thomas C Winter; Robert L Van Uitert; Senthil Periaswamy; Ronald M Summers; Bruce J Hillman
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Publication Detail:
Type:  Journal Article     Date:  2010-07-27
Journal Detail:
Title:  Radiology     Volume:  256     ISSN:  1527-1315     ISO Abbreviation:  Radiology     Publication Date:  2010 Sep 
Date Detail:
Created Date:  2010-08-19     Completed Date:  2010-09-30     Revised Date:  2011-09-13    
Medline Journal Info:
Nlm Unique ID:  0401260     Medline TA:  Radiology     Country:  United States    
Other Details:
Languages:  eng     Pagination:  827-35     Citation Subset:  AIM; IM    
Copyright Information:
(c) RSNA, 2010.
Department of Radiology, MC2026, the University of Chicago, Chicago, IL 60637, USA.
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MeSH Terms
Area Under Curve
Colonic Polyps / radiography*
Colonography, Computed Tomographic / methods*
Middle Aged
ROC Curve
Radiographic Image Interpretation, Computer-Assisted / methods*
Sensitivity and Specificity

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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