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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.
Mang, Thomas; Bogoni, Luca; Anand, Vikram X; Chandra, Dass; Curtin, Andrew J; Lev-Toaff, Anna S; Hermosillo, Gerardo; Noah, Ralph; Raykar, Vikas; Salganicoff, Marcos; Shaw, Robert; Summerton, Susan; Tappouni, Rafel F R; Ringel, Helmut; Weber, Michael; Wolf, Matthias; Obuchowski, Nancy A.
Affiliation
  • Mang T; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria, thomas.mang@meduniwien.ac.at.
Eur Radiol ; 24(7): 1466-76, 2014 Jul.
Article in En | MEDLINE | ID: mdl-24816931
ABSTRACT

OBJECTIVES:

To assess the effectiveness of computer-aided detection (CAD) as a second reader or concurrent reader in helping radiologists who are moderately experienced in computed tomographic colonography (CTC) to detect colorectal polyps.

METHODS:

Seventy CTC datasets (34 patients 66 polyps ≥6 mm; 36 patients no abnormalities) were retrospectively reviewed by seven radiologists with moderate CTC experience. After primary unassisted evaluation, a CAD second read and, after a time interval of ≥4 weeks, a CAD concurrent read were performed. Areas under the receiver operating characteristic (ROC) curve (AUC), along with per-segment, per-polyp and per-patient sensitivities, and also reading times, were calculated for each reader with and without CAD.

RESULTS:

Of seven readers, 86% and 71% achieved a higher accuracy (segment-level AUC) when using CAD as second and concurrent reader respectively. Average segment-level AUCs with second and concurrent CAD (0.853 and 0.864) were significantly greater (p < 0.0001) than average AUC in the unaided evaluation (0.781). Per-segment, per-polyp, and per-patient sensitivities for polyps ≥6 mm were significantly higher in both CAD reading paradigms compared with unaided evaluation. Second-read CAD reduced readers' average segment and patient specificity by 0.007 and 0.036 (p = 0.005 and 0.011), respectively.

CONCLUSIONS:

CAD significantly improves the sensitivities of radiologists moderately experienced in CTC for polyp detection, both as second reader and concurrent reader. KEY POINTS • CAD helps radiologists with moderate CTC experience to detect polyps ≥6 mm. • Second and concurrent read CAD increase the radiologist's sensitivity for detecting polyps ≥6 mm. • Second read CAD slightly decreases specificity compared with an unassisted read. • Concurrent read CAD is significantly more time-efficient than second read CAD.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiology / Colonic Polyps / Diagnosis, Computer-Assisted / Clinical Competence / Colonography, Computed Tomographic Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2014 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiology / Colonic Polyps / Diagnosis, Computer-Assisted / Clinical Competence / Colonography, Computed Tomographic Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2014 Document type: Article