OC.20.3 DIMINUTIVE COLORECTAL POLYPS: THE LEARNING CURVE OF YOUNG ENDOSCOPISTS FOR THE CHARACTERIZATION OF LESIONS WITH I-SCAN TECHNOLOGY

2014 ◽  
Vol 46 ◽  
pp. S43
Author(s):  
A. Maimone ◽  
G. Bersani ◽  
A. Guida ◽  
C. Amella ◽  
R. Arena ◽  
...  
Keyword(s):  
Learning Curve ◽  
Colorectal Polyps

Su1744 DIAGNOSTIC ACCURACY AND LEARNING CURVE IN THE CHARACTERIZATION OF COLORECTAL POLYPS FOR FIRST YEAR GASTROINTESTINAL ENDOSCOPY TRAINEES

2019 ◽  
Vol 89 (6) ◽  
pp. AB404
Author(s):  
César Tróchez Mejía ◽  
Martha C. Galindo Orozco ◽  
Katia Picazo Ferrera ◽  
Cesar Jaurrieta Rico ◽  
Miguel Ángel Herrera ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Learning Curve ◽  
Gastrointestinal Endoscopy ◽  
Colorectal Polyps ◽  
First Year

scholarly journals A simplified table using validated diagnostic criteria is effective to improve characterization of colorectal polyps: the CONECCT teaching program

2019 ◽  
Vol 07 (10) ◽  
pp. E1197-E1206 ◽  
Author(s):  
Martin Fabritius ◽  
Jean-Michel Gonzalez ◽  
Aymeric Becq ◽  
Xavier Dray ◽  
Emmanuel Coron ◽  
...  
Keyword(s):  
Colorectal Polyp ◽  
Colorectal Polyps ◽  
Treatment Choice ◽  
Teaching Program ◽  
Appropriate Treatment ◽  
Post Test ◽  
Choice Of Treatment ◽  
Attending Physicians ◽  
The Impact

Abstract Introduction and study aims Accurate real-time endoscopic characterization of colorectal polyps is key to choosing the most appropriate treatment. Mastering the currently available classifications is challenging. We used validated criteria for these classifications to create a single table, named CONECCT, and evaluated the impact of a teaching program based on this tool. Methods A prospective multicenter study involving GI fellows and attending physicians was conducted. During the first session, each trainee completed a pretest consisting in histological prediction and choice of treatment of 20 colorectal polyps still frames. This was followed by a 30-minute course on the CONECCT table, before taking a post-test using the same still frames reshuffled. During a second session at 3 – 6 months, a last test (T3 M) was performed, including these same still frames and 20 new ones. Results A total 419 participants followed the teaching program between April 2017 and April 2018. The mean proportion of correctly predicted/treated lesions improved significantly from pretest to post-test and to T3 M, from 51.0 % to 74.0 % and to 66.6 % respectively (P < 0.001). Between pretest and post-test, 343 (86.6 %) trainees improved, and 153 (75.4 %) at T3 M. Significant improvement occurred for each subtype of polyp for fellows and attending physicians. Between the two sessions, trainees continued to progress in the histology prediction and treatment choice of polyps CONECCT IIA. Over-treatment decreased significantly from 30.1 % to 15.5 % at post-test and to 18.5 % at T3 M (P < 0.001). Conclusion The CONECCT teaching program is effective to improve the histology prediction and the treatment choice by gastroenterologists, for each subtype of colorectal polyp.

Advanced Endoscopic Technologies to Improve the Diagnosis of Colorectal Polyps

2022 ◽  
Author(s):  
Maria Daca Alvarez ◽  
Liseth Rivero-Sanchez ◽  
Maria Pellisé
Keyword(s):  
Gold Standard ◽  
Detection Rate ◽  
Colorectal Polyps ◽  
Diagnostic Colonoscopy ◽  
Risk Of Death ◽  
The Past ◽  
Technological Advances ◽  
Adenoma Detection ◽  
Neoplastic Lesions

AbstractColonoscopy is the gold standard for colorectal cancer (CRC) prevention. The main quality indicator of colonoscopy is the adenoma detection rate, which is inversely associated with the risk of interval CRC and the risk of death from this neoplasia. In the setting of CRC prevention, diagnostic colonoscopy has undergone a remarkable evolution in the past 20 years. Hand in hand with the implementation of CRC prevention programs and technological advances, we are now able to identify tiny and subtle neoplastic lesions and predict their histology with great efficiency. In this article, we briefly review the endoscopy technologies that can be used to improve the detection and characterization of colorectal polyps.

Mo1070 Durability of Training for Histologic Characterization of Diminutive Colorectal Polyps Using Narrow Band Imaging (NBI): Implications for the Resect and Discard Strategy

2013 ◽  
Vol 144 (5) ◽  
pp. S-568-S-569
Author(s):  
Swati G. Patel ◽  
Amit Rastogi ◽  
Gregory L. Austin ◽  
Matthew Hall ◽  
Brittany A. Siller ◽  
...  
Keyword(s):  
Narrow Band ◽  
Narrow Band Imaging ◽  
Colorectal Polyps

Tu1653 Community Gastroenterologists Can Easily Learn Characterization of Diminutive Colorectal Polyps With Narrow Band Imaging (NBI)

2012 ◽  
Vol 75 (4) ◽  
pp. AB477
Author(s):  
Amit Rastogi ◽  
Neil Gupta ◽  
Deepthi S. Rao ◽  
Sachin Wani ◽  
Prateek Sharma ◽  
...  
Keyword(s):  
Narrow Band ◽  
Narrow Band Imaging ◽  
Colorectal Polyps

scholarly journals Artificial intelligence for identification and characterization of colonic polyps

2021 ◽  
Vol 14 ◽  
pp. 263177452110146
Author(s):  
Nasim Parsa ◽  
Michael F. Byrne
Keyword(s):  
Artificial Intelligence ◽  
Colorectal Cancer ◽  
Computer Aided Design ◽  
Colorectal Polyps ◽  
Optical Biopsy ◽  
Machine Learning Techniques ◽  
Withdrawal Time ◽  
Adenoma Detection ◽  
Computer Aided

Colonoscopy remains the gold standard exam for colorectal cancer screening due to its ability to detect and resect pre-cancerous lesions in the colon. However, its performance is greatly operator dependent. Studies have shown that up to one-quarter of colorectal polyps can be missed on a single colonoscopy, leading to high rates of interval colorectal cancer. In addition, the American Society for Gastrointestinal Endoscopy has proposed the “resect-and-discard” and “diagnose-and-leave” strategies for diminutive colorectal polyps to reduce the costs of unnecessary polyp resection and pathology evaluation. However, the performance of optical biopsy has been suboptimal in community practice. With recent improvements in machine-learning techniques, artificial intelligence–assisted computer-aided detection and diagnosis have been increasingly utilized by endoscopists. The application of computer-aided design on real-time colonoscopy has been shown to increase the adenoma detection rate while decreasing the withdrawal time and improve endoscopists’ optical biopsy accuracy, while reducing the time to make the diagnosis. These are promising steps toward standardization and improvement of colonoscopy quality, and implementation of “resect-and-discard” and “diagnose-and-leave” strategies. Yet, issues such as real-world applications and regulatory approval need to be addressed before artificial intelligence models can be successfully implemented in clinical practice. In this review, we summarize the recent literature on the application of artificial intelligence for detection and characterization of colorectal polyps and review the limitation of existing artificial intelligence technologies and future directions for this field.

scholarly journals The introduction of colorectal endoscopic submucosal hydrodissection at a Western Center: results and learning curve

2019 ◽  
Author(s):  
Felipe Ramos-Zabala ◽  
Adolfo Parra-Blanco ◽  
Sabina Beg ◽  
Marian García-Mayor ◽  
Ana Domínguez-Pino ◽  
...  
Keyword(s):  
Learning Curve ◽  
Conversion Rate ◽  
Curative Resection ◽  
En Bloc Resection ◽  
Bloc Resection ◽  
Colorectal Polyps ◽  
Incomplete Resection ◽  
Resection Rate ◽  
En Bloc ◽  
The Impact

Abstract Background Colorectal endoscopic submucosal dissection (CR-ESD) is an evolving technique in Western countries. The use of hydrodissection has been established as an effective technique for safe resection. However, it is unknown if the adoption of this technique can help a novice perform ESD safely without prior experience or formal tutorial. Here we aimed to determine the results of the introduction of endoscopic submucosal hydrodissection for the treatment of complex colorectal polyps and establish the learning curve for this technique, at a European tertiary hospital. Methods This study included data from 80 consecutive CR-ESDs performed for complex colorectal polyps, by a single endoscopist within a structured training program. The main outcome was en bloc resection rate, while secondary outcomes included complications (perforation and bleeding), knife en bloc (KEB) resection rate, knife-snare en bloc resection rate, conversion rate to endoscopic piecemeal mucosal resection (EPMR), complete resection rate, curative resection rate. To explore the impact of experience, procedures were divided into 4 groups of 20 each, with outcomes measures compared between these. Results The overall en bloc resection rate was 75%. KEB resection was obtained in 15%, 25%, 50%, and 80% cases in the consecutive periods (period 1 vs 4, p<0.001; periods 1, 2 and 3 vs 4, p<0.001). Conversion rate to EPMR was obtained in 40%, 25%, 25% and 5% respectively (period 1,2 and 3 vs 4; p=0.031). Curative resection was achieved in 55%, 75%, 70% and 95% respectively (p=0.037). Series results were 75% R0 resection, 23.7% conversion to EPMR, and 1.2% incomplete resection. Complications included perforations (7.5%) and bleeding (3.75%), there was no significant difference in the 4 periods of training. Multivariate analysis revealed factors more likely to result in non-en bloc versus en bloc resection were polyp size > 35 mm [70% vs. 23.4%; OR 13.2 (95% CI: 1.7-100.9); p=0. 013], severe fibrosis [40% vs. 11.7%; OR 10.2 (95% CI: 1.2-86.3); p= 0.033] and non-use of CO2 [65% vs. 30%; OR 0.09 (95% CI: 0.01-0.53); p= 0.008]. Conclusions CR-ESD by hydrodissection can be implemented in a western centre and offers safe and effective treatment for complex polyps.

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