An artificial intelligence-based quality improvement system significantly improved the efficacy of computer-aided detection system in colonoscopy: A four group parallel study

Endoscopy ◽  
2021 ◽  
Author(s):  
Liwen Yao ◽  
Lihui Zhang ◽  
Jun Liu ◽  
Wei Zhou ◽  
Chunping He ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Detection System ◽  
Synergetic Effect ◽  
Colorectal Polyp ◽  
Controlled Study ◽  
Computer Aided Detection ◽  
Polyp Detection ◽  
Adenoma Detection ◽  
Significant Difference ◽  
Computer Aided

Background and study aims: Tandem colonoscopy studies have found that about one in five adenomas are missed at colonoscopy. It is still debatable whether the combination of a computer-aided detection (CADe) system for colorectal polyp detection with a computer-aided quality improvement (CAQ) system for real-time withdrawal speed monitoring may result in additional benefits in the task of adenoma detection or if the synergetic effect may be harmed due to excessive visual burden resulting from the information overload. This study aims to evaluate the interaction effect on improving the adenoma detection rate (ADR). Patients and methods: This is a single-center, randomized, four-group parallel controlled study, performed in Renmin Hospital of Wuhan University. Between July 1, 2020 and Oct 15, 2020, 1076 participants were randomly allocated into four treatment groups [control: 271, CADe: 268, CAQ: 269 and CADe plus CAQ (COMBO): 268]. The primary outcome was the ADR. Results: The average ADR in the control, CADe, CAQ and COMBO groups was 14.76% (95% C.I. 10.54-18.98), 21.27% (95% C.I. 16.37-26.17), 24.54% (95% C.I. 19.39-29.68) and 30.6% (95% C.I. 25.08-36.11), respectively. The ADR was higher in the COMBO group compared with the CADe group but not compared with the CAQ group (21.27% VS 30.6%, P=0.024, OR 1.284, 95%C.I. 1.033-1.596; 24.54%vs. 30.6%, P = 0.213, OR = 1.309, 95% C.I. 0.857-2, respectively). Conclusions: CAQ significantly improved the efficacy of CADe in a four-group parallel controlled study. No significant difference in the ADR or PDR was found between the CAQ and COMBO groups.

Real-Time Computer-Aided Detection for colorectal neoplasia or only small polyps? (Preprint)

2020 ◽  
Author(s):  
Mariusz Madalinski
Keyword(s):  
Quality Improvement ◽  
Real Time ◽  
Detection Rate ◽  
Colorectal Neoplasia ◽  
High Accuracy ◽  
Point Of View ◽  
Colorectal Cancers ◽  
Computer Aided Detection ◽  
Adenoma Detection ◽  
Computer Aided

UNSTRUCTURED Adenoma detection rate is the constant subject of research but quality improvement with a link to better attention to all polyps detection, has a chance to reduce interval colorectal cancers rates. Thus a presented point of view at an integrating computer-aided detection (CADe) of polyps with high-accuracy in real time colonoscopy challenges a quality improvement in performance of colonoscopy.

scholarly journals Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

Gut ◽  
2019 ◽  
Vol 68 (10) ◽  
pp. 1813-1819 ◽  
Author(s):  
Pu Wang ◽  
Tyler M Berzin ◽  
Jeremy Romek Glissen Brown ◽  
Shishira Bharadwaj ◽  
Aymeric Becq ◽  
...  
Keyword(s):  
Real Time ◽  
Detection System ◽  
Cost Benefit ◽  
Controlled Study ◽  
Hyperplastic Polyps ◽  
Polyp Detection ◽  
Detection Rates ◽  
Polyp Detection Rate ◽  
Adenoma Detection ◽  
Adenoma Detection Rates

ObjectiveThe effect of colonoscopy on colorectal cancer mortality is limited by several factors, among them a certain miss rate, leading to limited adenoma detection rates (ADRs). We investigated the effect of an automatic polyp detection system based on deep learning on polyp detection rate and ADR.DesignIn an open, non-blinded trial, consecutive patients were prospectively randomised to undergo diagnostic colonoscopy with or without assistance of a real-time automatic polyp detection system providing a simultaneous visual notice and sound alarm on polyp detection. The primary outcome was ADR.ResultsOf 1058 patients included, 536 were randomised to standard colonoscopy, and 522 were randomised to colonoscopy with computer-aided diagnosis. The artificial intelligence (AI) system significantly increased ADR (29.1%vs20.3%, p<0.001) and the mean number of adenomas per patient (0.53vs0.31, p<0.001). This was due to a higher number of diminutive adenomas found (185vs102; p<0.001), while there was no statistical difference in larger adenomas (77vs58, p=0.075). In addition, the number of hyperplastic polyps was also significantly increased (114vs52, p<0.001).ConclusionsIn a low prevalent ADR population, an automatic polyp detection system during colonoscopy resulted in a significant increase in the number of diminutive adenomas detected, as well as an increase in the rate of hyperplastic polyps. The cost–benefit ratio of such effects has to be determined further.Trial registration numberChiCTR-DDD-17012221; Results.

Sensitivity of a Direct Computer-aided Detection System in Full-field Digital Mammography for Detection of Microcalcifications Not Associated with Mass or Architectural Distortion

2010 ◽  
Vol 61 (3) ◽  
pp. 162-169 ◽  
Author(s):  
Anabel M. Scaranelo ◽  
Pavel Crystal ◽  
Karina Bukhanov ◽  
Thomas H. Helbich
Keyword(s):  
Digital Mammography ◽  
Breast Imaging ◽  
Detection System ◽  
Architectural Distortion ◽  
Computer Aided Detection ◽  
Full Field ◽  
Cad System ◽  
Full Field Digital Mammography ◽  
Significant Difference ◽  
Computer Aided

Purpose The purpose of this study was to evaluate the sensitivity of a direct computer-aided detection (CAD) system (d-CAD) in full-field digital mammography (FFDM) for the detection of microcalcifications not associated with mass or architectural distortion. Materials and Methods A database search of 1063 consecutive stereotactic core biopsies performed between 2002 and 2005 identified 196 patients with Breast Imaging-Reporting and Data System (BI-RADS) 4 and 5 microcalcifications not associated with mass or distortion detected exclusively by bilateral FFDM. A commercially available CAD system (Second Look, version 7.2) was retrospectively applied to the craniocaudal and mediolateral oblique views in these patients (mean age, 59 years; range, 35–84 years). Breast density, location and mammographic size of the lesion, distribution, and tumour histology were recorded and analysed by using χ2, Fisher exact, or McNemar tests, when applicable. Results When using d-CAD, 71 of 74 malignant microcalcification cases (96%) and 101 of 122 benign microcalcifications (83%) were identified. There was a significant difference ( P < .05) between CAD sensitivity on the craniocaudal view, 91% (68 of 75), vs CAD sensitivity on the mediolateral oblique view, 80% (60 of 75). The d-CAD sensitivity for dense breast tissue (American College of Radiology [ACR] density 3 and 4) was higher (97%) than d-CAD sensitivity (95%) for nondense tissue (ACR density 1 and 2), but the difference was not statically significant. All 28 malignant calcifications larger than 10 mm were detected by CAD, whereas the sensitivity for lesions small than or equal to 10 mm was 94%. Conclusions D-CAD had a high sensitivity in the depiction of asymptomatic breast cancers, which were seen as microcalcifications on FFDM screening, with a sensitivity of d-CAD on the craniocaudal view being significantly better. All malignant microcalcifications larger than 10 mm were detected by d-CAD.

scholarly journals Standard versus Endocuff versus cap-assisted colonoscopy for adenoma detection: A randomised controlled clinical trial

2020 ◽  
pp. 205064062098295
Author(s):  
Martin Floer ◽  
Laura Tschaikowski ◽  
Michael Schepke ◽  
Radoslaw Kempinski ◽  
Katarzyna Neubauer ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Cancer Screening ◽  
Controlled Clinical Trial ◽  
Polyp Detection ◽  
Withdrawal Time ◽  
Adenoma Detection ◽  
Significant Difference ◽  
Randomised Controlled Clinical Trial ◽  
Randomised Controlled ◽  
Standard Colonoscopy

Background and aims Adenoma detection rate (ADR) in colon cancer screening is most important for cancer prophylaxis. This work is the first three-armed randomised controlled clinical trial aimed at comparing a head-to-head setting standard colonoscopy (SC) with Endocuff-assisted colonoscopy (EC) and cap-assisted colonoscopy (CAC) for improvement of ADR. Methods Patients from Poland and Germany with independent indication for colonoscopy were randomised into three arms of this trial: EC, CAC and SC. Exclusion criteria were age <18 years, active Crohn’s disease or ulcerative colitis, known stenosis and post-colonic resection status. Results A total of 585 patients (195 SC, 189 EC and 186 CAC) were enrolled in this study. Indications were not different between the groups (colorectal cancer screening 51%, diagnostic colonoscopy in 31% and post polypectomy follow-up in 18%; p=0.94). Withdrawal time was a mean of seven minutes in all groups ( p=0.658), and bowel preparation did not differ between the groups. The time to reach the caecum was significantly reduced when using the cap (a mean of six minutes for CAC vs. seven minutes for SC; p=0.0001). There was no significant difference in the primary outcome of the ADR between the groups (EC 32%, CAC 30%, SC 30%; p=0.815). EC proved to be superior (EC vs. SC) in the sigmoid colon and transverse colon for polyp detection. Conclusion The use of EC increased the total number of polyps seen during colonoscopy. In contrast to recent studies, no significant improvement of the ADR was detected.

Accuracy of Segmentation of a Commercial Computer-aided Detection System for Mammography

Radiology ◽  
2005 ◽  
Vol 235 (2) ◽  
pp. 385-390 ◽  
Author(s):  
Jay A. Baker ◽  
Eric L. Rosen ◽  
Michele M. Crockett ◽  
Joseph Y. Lo
Keyword(s):  
Detection System ◽  
Computer Aided Detection ◽  
Computer Aided
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