The American Society for Gastrointestinal Endoscopy PIVI (Preservation and Incorporation of Valuable Endoscopic Innovations) on real-time endoscopic assessment of the histology of diminutive colorectal polyps
Abstract
The PIVI (Preservation and Incorporation of Valuable endoscopic Innovations) initiative is an ASGE program whose objectives are to identify important clinical questions related to endoscopy and to establish a priori diagnostic and/or therapeutic thresholds for endoscopic technologies designed to resolve these clinical questions. Additionally, PIVIs may also outline the data and or the research study design required for proving an established threshold is met. Once endoscopic technologies meet an established PIVI threshold, those technologies are appropriate to incorporate into clinical practice presuming the appropriate training in that endoscopic technology has been achieved. The ASGE encourages and supports the appropriate use of technologies that meet its established PIVI thresholds. The PIVI initiative was developed primarily to direct endoscopic technology development toward resolving important clinical issues in endoscopy. The PIVI initiative is also designed to minimize the possibility that potentially valuable innovations are prematurely abandoned due to lack of utilization and to avoid widespread use of an endoscopic technology before clinical studies documenting their effectiveness have been performed. The following document, or PIVI, is one of a series of statements defining the diagnostic or therapeutic threshold that must be met for a technique or device to become considered appropriate for incorporation into clinical practice. It is also meant to serve as a guid…
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Beginners often find it challenging to differentiate between high-confidence and low-confidence decisions owing to the absence of a clear definition or standardized process, resulting in variability and uncertainty in optical diagnosis.
“However, beginners often find it challenging to differentiate between HC and low-confidence decisions owing to the absence of a clear definition or standardized process, resulting in variability and uncertainty in optical diagnosis.2”
From Structured Integration of an Artificial Intelligence-Based System for the Optical Diagnosis of Colorectal Polyps (2026) · cites this paper as [2]
Attaining proficiency in optical diagnosis and meeting the SODA or PIVI standards can be particularly challenging for novices.
“Attaining proficiency in optical diagnosis and meeting the accurate standards established by Simple Optical Diagnosis Accuracy (SODA) or Preservation and Incorporation of Valuable Endoscopic Innovations (PIVI) can be particularly challenging for novices.2,7,8”
From Structured Integration of an Artificial Intelligence-Based System for the Optical Diagnosis of Colorectal Polyps (2026) · cites this paper as [2]
Achieving PIVI and SODA competencies depends on the accuracy of high-confidence diagnoses, as these criteria are solely based on HC cases.
“Achieving PIVI and SODA competencies depends on the accuracy of high-confidence (HC) diagnoses, as these criteria are solely based on HC cases.2,8”
From Structured Integration of an Artificial Intelligence-Based System for the Optical Diagnosis of Colorectal Polyps (2026) · cites this paper as [2]
Computer-aided diagnosis (CADx) systems based on artificial intelligence (AI) can help endoscopists in the optical diagnosis of colorectal polyps by predicting the histopathology.
“Computer-aided diagnosis (CADx) systems based on artificial intelligence (AI) can help endoscopists in the optical diagnosis of colorectal polyps by predicting the histopathology.”
From Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction (2024) · cites this paper as [1]
The stand-alone performance of CADx systems and comparisons of CADx performances with thresholds for clinical implementation have been evaluated and show promising results.
“The stand-alone performance of CADx systems and comparisons of CADx performances with thresholds for clinical implementation have been evaluated and show promising results.[1][2][3][4][5][6][7]”
From Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction (2024) · cites this paper as [1]
Despite a significant increase in endoscopists' performance measures after reviewing CADx predictions, the joint performance does not meet the thresholds for implementing treatment strategies based on optical diagnosis (NPV of >90%) set by the American Society for Gastrointestinal Endoscopy.
“Despite a significant increase in endoscopists' performance measures after reviewing CADx predictions, the joint performance does not meet the thresholds for implementing treatment strategies based on optical diagnosis (NPV of >90%) set by the American Society for Gastrointestinal Endoscopy. 1”
From Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction (2024) · cites this paper as [1]
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- Authors
- Rex, D. K., Kahi, C., O'Brien, M., Levin, T. R., Pohl, H., Rastogi, A., Burgart, L., Imperiale, T., Ladabaum, U., Cohen, J., & Lieberman, D. A.
- ORCID
- Venue
- Gastrointestinal Endoscopy
- Publisher
- Elsevier BV
- Published
- 2011-03
- Volume
- 73
- Issue
- 3
- Pages
- 419-422
- ISSN
- 0016-5107 (ISSN-L)
- OpenAlex
- W2019397787
- Cited by
- 629
- References
- 0
- Citations by year
- 2026: 33 · 2025: 36 · 2024: 37 · 2023: 40 · 2022: 53 · 2021: 49 · 2020: 48 · 2019: 43 · 2018: 40 · 2017: 43 · 2016: 31 · 2015: 61 · 2014: 36 · 2013: 50 · 2012: 21
- FWCI
- 16.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Gastrointestinal Endoscopy (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
- Health Sciences › Medicine › Pathology and Forensic Medicine › Genetic factors in colorectal cancer
- Health Sciences › Medicine › Oncology › Colorectal Cancer Surgical Treatments
- Keywords
- diminutive colorectal polyps
- MeSH terms
- Colonoscopy, Humans, Intestinal Polyps, Colorectal Neoplasms, Practice Guidelines as Topic, Evidence-Based Medicine, Standard of Care
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