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Computer-Aided Detection of Colorectal Polyps at CT Colonography: Prospective Clinical Performance and Third-Party Reimbursement
- Source :
- American Journal of Roentgenology. 208:1244-1248
- Publication Year :
- 2017
- Publisher :
- American Roentgen Ray Society, 2017.
-
Abstract
- We assessed the initial clinical performance and third-party reimbursement rates of supplementary computer-aided detection (CAD) at CT colonography (CTC) for detecting colorectal polyps 6 mm or larger in routine clinical practice.We retrospectively assessed the prospective clinical performance of a U.S. Food and Drug Administration-approved CAD system in second-reader mode in 347 consecutive adults (mean age, 57.6 years; 205 women, 142 men) undergoing CTC evaluation over a 5-month period. The reference standard consisted of the prospective interpretation by experienced CTC radiologists combined with subsequent optical colonoscopy (OC), if performed. We also assessed third-party reimbursement for CAD for studies performed over an 18-month period.In all, 69 patients (mean [± SD] age, 59.0 ± 7.7 years; 32 men, 37 women) had 129 polyps ≥ 6 mm. Per-patient CAD sensitivity was 91.3% (63 of 69). Per-polyp CAD-alone sensitivity was 88.4% (114 of 129), including 88.3% (83 of 94) for 6- to 9-mm polyps and 88.6% (31 of 35) for polyps 10 mm or larger. On retrospective review, three additional polyps 6 mm or larger were seen at OC and marked by CAD but dismissed as CAD false-positives at CTC. The mean number of false-positive CAD marks was 4.4 ± 3.1 per series. Of 1225 CTC cases reviewed for reimbursement, 31.0% of the total charges for CAD interpretation had been recovered from a variety of third-party payers.In our routine clinical practice, CAD showed good sensitivity for detecting colorectal polyps 6 mm or larger, with an acceptable number of false-positive marks. Importantly, CAD is already being reimbursed by some third-party payers in our clinical CTC practice.
- Subjects :
- Male
medicine.medical_specialty
Reimbursement rates
Sensitivity and Specificity
030218 nuclear medicine & medical imaging
Machine Learning
03 medical and health sciences
0302 clinical medicine
medicine
Humans
Radiology, Nuclear Medicine and imaging
Reimbursement
Third party
business.industry
Clinical performance
Intestinal Polyps
Reproducibility of Results
Mean age
General Medicine
Cad system
United States
Computer aided detection
Optical colonoscopy
030220 oncology & carcinogenesis
Insurance, Health, Reimbursement
Radiographic Image Interpretation, Computer-Assisted
Female
Radiology
Colorectal Neoplasms
business
Colonography, Computed Tomographic
Subjects
Details
- ISSN :
- 15463141 and 0361803X
- Volume :
- 208
- Database :
- OpenAIRE
- Journal :
- American Journal of Roentgenology
- Accession number :
- edsair.doi.dedup.....34a58d0938d8cfe7f066588126dd8889