CC BY-NC-ND 4.0 · Endosc Int Open 2024; 12(03): E463-E466
DOI: 10.1055/a-2280-7096
Editorial

Standard screening high-definition colonoscopy without any optimization device is no longer relevant: Time to move to optimized screening colonoscopy

1   Digestive Endoscopy Unit, Clinique Paris-Bercy, Charenton-le-Pont, France (Ringgold ID: RIN568079)
2   Centre d'Explorations Digestives, Paris, France
› Author Affiliations
 

Abstract

Optimizing the adenoma detection rate (ADR) is a major goal in colorectal cancer (CCR) screening, as it has long been established that ADR is inversely proportional to the risk of post-colonoscopy CRC occurrence. To achieve this goal, many optimization devices have been developed, and numerous randomized controlled trials have been conducted to evaluate the benefits of these devices compared with a "standard arm," which corresponds to date to high-definition white light (HD-WLI) colonoscopy. Numerous studies have confirmed the positive impact of various optimization devices, such as caps, computer-aided detection, and contrast-enhanced technologies. Moreover, the different ways in which the devices can impact ADR make them complementary. However, despite substantial and consistent data, practices remain unchanged, and HD-WLI colonoscopy, considered the "standard," is still routinely performed without any optimization devices. The objective of this viewpoint is to understand the barriers to change and to show why standard screening colonoscopy without the use of any optimization devices should no longer be considered relevant in 2024.


#

Introduction

Optimizing the adenoma detection rate (ADR) is a major goal in colorectal cancer (CRC) screening, because it has long been established that ADR is inversely proportional to the risk of post-colonoscopy CRC occurrence [1]. To achieve this goal, many optimization devices have been developed, and numerous randomized controlled trials (RCTs) have been conducted to evaluate the benefits of these devices compared with a “standard arm,” which corresponds to date to high-definition white light (HD-WLI) colonoscopy. The main devices are listed below and their impact on ADR is described ([Table 1]).

Table 1 Synthesis on the impact of optimization devices on adenoma detection and adenoma miss rates.

ADR

AMR

ADR, adenoma detection rate; AMR, adenoma miss rate.

Caps (Endocuff Vision, Olympus)

Computer-aided colonoscopy systems

Contrast enhancement devices

  • LCI, Fujifilm

  • TXI, Olympus

No available data

Caps + Computer-aided colonoscopy systems

↗↗

No available data

Contrast enhancement devices + Computer-aided colonoscopy systems

↗↗

No available data


#

Caps

To explore colonic mucosa behind folds and thus avoid blind spots, caps can be attached at the tip of the colonoscope. Among them, Endocuff Vision (ECV) – which has been studied in large RCTs – has been shown to significantly increase ADR in routine colonoscopy (even in physicians whose ADR is already high), thus suggesting the systematic use of ECV in routine colonoscopy [2] [3]. In contrast to the questionable impact of caps and the first generation of the Endocuff, an approximately 10% increase in ADR has been observed with ECV, and the device has been found to be useful in all colon locations, except for the rectum [3]. Other caps have yielded lower results when compared with ECV, which appears to be the best of the caps developed to date, and for which the literature is abundant [4] [5].


#

Computer-aided colonoscopy systems

Artificial intelligence systems recently developed to outperform human vision in polyp detection have been evaluated in many RCTs to date, with a significant increase of approximately 5% to 10% in ADR observed in routine colonoscopy thanks to computer-aided detection (CADe), even in non-academic units [6] [7] [8] [9] [10]. The benefit of CADe seems to be maximal in lower detectors, decreasing linearly in higher detectors [6]. The device, therefore, can help all endoscopists to maintain a high ADR – even at the end of an endoscopy session – and to avoid a decrease in vigilance when hunger or fatigue sets in. However, no one could reasonably claim to maintain high vigilance throughout the entire duration of a real-life endoscopy session. Moreover, CADe has been found to have a positive effect on ADR regardless of endoscopist experience in colonoscopy [9]. There are no reliable data for comparing the different CADe systems, and the fact the systems are constantly evolving due to software updates makes comparison difficult.


#

Contrast enhancement devices

Contrast enhancement devices have also been developed by many endoscopy companies. Among them, linked color imaging (LCI, Fujifilm) – the most promising – has been shown to have a positive impact on ADR in numerous RCTs [11], as well as on the sessile serrated lesion (SSL) detection rate [12]. However, conflicting data on the impact on proximal adenoma and SSL miss rates, which are strongly suspected to be implicated in post-colonoscopy CRC, mean that LCI could only have a moderate impact or not yet be the optimization contrast enhancement device of choice [13]. Contrast enhancement devices developed by other companies – such as new-generation narrow-band imaging (NBI, Olympus), I-scan (Pentax) or, more recently, texture and color enhancement imaging (TXI, Olympus) – also seem to yield good results when compared with HD-WLI colonoscopy [14] [15]. Few studies have compared contrast enhancement devices among themselves [16] [17]. In any case, every endoscopy unit has its own endoscope fleet from one of the aforementioned companies and is fairly captive to this company as regards the choice of the contrast enhancement device.


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Combining the optimization devices

The optimization devices described above, each of which has been shown to have benefits in terms of ADR when compared with HD-WLI colonoscopy, seem to optimize ADR in three different ways. The first family of devices involves exposing more mucosal surface by unfolding the mucosa, as seen with Endocuff Vision. The second family is designed to enhance operator vigilance, thus helping every endoscopist maintain a high ADR throughout a real-life endoscopy session, as exemplified by CADe colonoscopy. The third aims to provide better visibility of invisible polyps by increasing the contrast between them and the normal mucosa, as achieved with contrast enhancement devices.

Arguably, combining these three different and complementary device families would have a synergistic effect on lesion detection. Some studies have attempted to pit them against each other to compare their impact on ADR [18], but such competition is arguably neither useful nor reflective of the reality of an endoscopy unit, which can use the devices in combination. Only a few studies to date have evaluated device combinations, with some examining the CADe-contrast-enhaced system pair [19] and others the “CADe-ECV” pair [20] [21] [22], with the latter pair demonstrating not only a significant increase in ADR but even a notable significant increase in advanced ADR when compared to HD-WLI alone [20].


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Toward a change in practices

In light of the above, it is arguably no longer permissible to perform screening HD-WLI colonoscopy without the use of at least one ADR optimization device. However, optimization devices are still not systematically used in routine practice, and their use is still not recommended [23] [24]. Barriers to their use undoubtedly stem from economic factors, such as the purchase of expensive equipment by healthcare facilities (e.g., CADe) or patient reimbursement (e.g., for the use of ECV). There are also human factors, such as endoscopist reluctance to change their habits. To overcome these barriers, the authorities need to be convinced to cover the additional cost of optimization devices and endoscopists need to be convinced of the benefits and ease of their use in routine practice. To act on these two fronts (authorities and endoscopists), new recommendations about the quality criteria for screening colonoscopy, specifically regarding the use of optimization devices, should be issued now. We should not wait for publication of many more RCTs about the benefits of combining the three types of optimization devices to make these recommendations and finally use the devices in routine practice. Furthermore, due to the diversity and complementarity of the devices, only an impractical eight-arm RCT study comparing the different “device families” could provide an answer. This study would become extremely complex, with numerous arms comparing various combinations of devices, all while the best CADe systems and the best contrast enhancement devices have yet to be determined. In the past, not so many RCTs were necessary to switch from non-HD to HD colonoscopy and to establish recommendations, probably because changes in image quality and definition were immediately visible to the endoscopist, and under-diagnosis with non-HD colonoscopes was obvious [25] [26]. In contrast, the benefit of optimization devices is not as immediately and obviously perceptible by human vision on the day of the procedure. Nevertheless, the literature on ADR optimization devices is already extensive enough to conclude that a “standard colonoscopy” represents a missed opportunity for patients. Of course, because ADR is influenced by a multitude of other factors (endoscopist education and training, bowel preparation, withdrawal time, and other colonoscopy quality criteria), using optimization devices will not make much sense if these quality criteria are not already fulfilled.

On the other hand, one could argue that increasing ADR is not a goal, or ask questions about the usefulness of diminutive polyp resection in reducing CRC incidence and mortality, and the risk of “overdiagnosis.” As a counter argument, a recent retrospective study involving nearly 750,000 patients found that, compared with ADRs below the median of 28.3%, detection rates at or above the median were significantly associated with a reduced risk of post-colonoscopy CRC and related deaths [27]. And although the most relevant modalities for CRC screening are still being debated to date [28] [29], the objective of achieving optimal clearance of precancerous lesions in patients screened by colonoscopy, by detecting and removing all lesions on the day of their colonoscopy, cannot be criticized, especially in light of recommendations to reduce the frequency of screening colonoscopy [30].

Lastly, given that a minimum ADR threshold of 25% for a screening colonoscopy meeting quality criteria has been determined for “standard HD-WLI screening colonoscopy” [24], and that each device taken independently significantly increases ADR, the minimum threshold should be at least 35% for “optimized screening colonoscopy: combining the individual benefit of each optimization device.


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Conclusions

To conclude, optimization devices represent a new step in screening colonoscopy, which can work in tandem with the standard procedure following the relevant quality parameters (with an already definite role in screening and surveillance procedures) to improve results. The literature and data available to date on the impact of optimization devices show that standard screening colonoscopy without any optimization devices should no longer be considered relevant in 2024. “Optimized screening colonoscopy” with the systematic use and combination of optimization devices will undoubtedly raise the minimum threshold of 25% required for “standard HD-WLI screening colonoscopy.” While the use of ADR optimization devices represents an additional step in the contribution that colonoscopy makes to CRC screening, it is essential to improve access to and acceptance of screening programs, as there is no worse screening colonoscopy than a colonoscopy that is not performed.


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Conflict of Interest

David Karsenti, MD: Consultant for OLYMPUS, COVIDEN and NORGINE; Support for attending meetings from ALFASIGMA, COOK and FUJIFILM

  • References

  • 1 Corley DA, Jensen CD, Marks AR. et al. Adenoma detection rate and risk of colorectal cancer and death. N Engl J Med 2014; 370: 1298-306
  • 2 Ngu WS, Bevan R, Tsiamoulos ZP. et al. Improved adenoma detection with Endocuff Vision: the ADENOMA randomised controlled trial. Gut 2019; 68: 280-288
  • 3 Karsenti D, Tharsis G, Perrot B. et al. Adenoma detection by Endocuff-assisted versus standard colonoscopy in routine practice: a cluster-randomised crossover trial. Gut 2020; 69: 2159-2164
  • 4 Weissman S, Mehta TI, Stein DJ. et al. Comparative efficacy of endoscopic assist devices on colonic adenoma detection: A systematic review with network meta-analysis. J Clin Gastroenterol 2022; 56: 889-894
  • 5 Thayalasekaran S, Bhattacharyya R, Chedgy F. et al. Randomized controlled trial of EndoRings assisted colonoscopy versus standard colonoscopy. Dig Endosc 2023; 35: 354-360
  • 6 Karsenti D, Tharsis G, Perrot B. et al. Effect of real-time computer-aided detection of colorectal adenoma in routine colonoscopy (COLO-GENIUS): a single-centre randomised controlled trial. Lancet Gastroenterol Hepatol 2023; 8: 726-734
  • 7 Patel HK, Chandrasekar VT, Srinivasan S. et al. Second-generation distal attachment cuff improves adenoma detection rate: meta-analysis of randomized controlled trials. Gastrointest Endosc 2021; 93: 544-553
  • 8 Xu H, Tang RSY, Lam TYT. et al. Artificial intelligence-assisted colonoscopy for colorectal cancer screening: A multicenter randomized controlled trial. Clin Gastroenterol Hepatol 2023; 21: 337-346
  • 9 Repici A, Spadaccini M, Antonelli G. et al. Artificial intelligence and colonoscopy experience: lessons from two randomised trials. Gut 2022; 71: 757-765
  • 10 Hassan C, Spadaccini M, Iannone A. et al. Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis. Gastrointest Endosc 2021; 93: 77-85
  • 11 Wang J, Ye C, Wu K. et al. The effect of linked color imaging for adenoma detection: A meta-analysis of randomized controlled studies. J Gastrointest Liver Dis 2022; 31: 67-73
  • 12 Li J, Zhang D, Wei Y. et al. Colorectal sessile serrated lesion detection using linked color imaging: A multicenter, parallel randomized controlled trial. Clin Gastroenterol Hepatol 2023; 21: 328-336
  • 13 Karsenti D, Perrod G, Perrot B. et al. Impact of linked color imaging on the proximal adenoma miss rate: a multicenter tandem randomized controlled trial. The COCORICO trial. Endoscopy 2024 (In press).
  • 14 Aziz M, Ahmed Z, Haghbin H. et al. Does i-scan improve adenoma detection rate compared to high-definition colonoscopy? A systematic review and meta-analysis. Endosc Int Open 2022; 10: E824-E831
  • 15 Antonelli G, Bevivino G, Pecere S. et al. Texture and color enhancement imaging versus high definition white-light endoscopy for detection of colorectal neoplasia: a randomized trial. Endoscopy 2023; 55: 1072-1080
  • 16 Li L, Ou Y, Yue H. et al. Comparison of the detection of colorectal lesions in different endoscopic modalities: A network meta-analysis and systematic review. Exp Ther Med 2019; 18: 154-162
  • 17 Li J, Chen K, Wei Y. et al. Colorectal sessile serrated lesion detection using linked-color imaging versus narrow-band imaging: a parallel randomized controlled trial. Endoscopy 2023; 55: 546-554
  • 18 Aziz M, Haghbin H, Sayeh W. et al. Comparison of artificial intelligence with other interventions to improve adenoma detection rate for colonoscopy: A network meta-analysis. J Clin Gastroenterol 2024; 58: 143-155
  • 19 Neumann H, Kreft A, Sivanathan V. et al. Evaluation of novel LCI CAD EYE system for real time detection of colon polyps. PLoS One 2021; 16: e0255955
  • 20 Aniwan S, Mekritthikrai K, Kerr SJ. et al. Computer-aided detection, mucosal exposure device, their combination, and standard colonoscopy for adenoma detection: a randomized controlled trial. Gastrointest Endosc 2023; 97: 507-516
  • 21 Spadaccini M, Hassan C, Rondonotti E. et al. Combination of mucosa-exposure device and computer-aided detection for adenoma detection during colonoscopy: a randomized trial. Gastroenterology CERTAIN Study Group 2023; 165: 244-251
  • 22 Ahmad A, Wilson A, Haycock A. et al. Evaluation of a real-time computer-aided polyp detection system during screening colonoscopy: AI-DETECT study. Endoscopy 2023; 55: 313-319
  • 23 Rembacken B, Hassan C, Riemann JF. et al. Quality in screening colonoscopy: position statement of the European Society of Gastrointestinal Endoscopy (ESGE). Endoscopy 2012; 44: 957-68
  • 24 Kaminski MF, Thomas-Gibson S, Bugajski M. et al. Performance measures for lower gastrointestinal endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative. Endoscopy 2017; 49: 378-397
  • 25 Zimmermann-Fraedrich K, Groth S, Sehner S. et al. Effects of two instrument-generation changes on adenoma detection rate during screening colonoscopy: results from a prospective randomized comparative study. Endoscopy 2018; 50: 878-885
  • 26 Pioche M, Denis A, Allescher HD. et al. Impact of 2 generational improvements in colonoscopes on adenoma miss rates: results of a prospective randomized multicenter tandem study. Gastrointest Endosc 2018; 88: 107-116
  • 27 Schottinger JE, Jensen CD, Ghai NR. et al. Association of physician adenoma detection rates with postcolonoscopy Colorectal Cancer. JAMA 2022; 327: 2114-2122
  • 28 Ladabaum U, Dominitz JA, Kahi C. et al. Strategies for colorectal cancer screening. Gastroenterology 2020; 158: 418-432
  • 29 Shaukat A, Kahi CJ, Burke CA. et al. ACG Clinical Guidelines: Colorectal Cancer Screening 2021. Am J Gastroenterol 2021; 116: 458-479
  • 30 Hassan C, Antonelli G, Dumonceau JM. et al. Post-polypectomy colonoscopy surveillance: European Society of Gastrointestinal Endoscopy (ESGE) Guideline - Update 2020. Endoscopy 2020; 52: 687-700

Correspondence

Dr. David Karsenti
Digestive Endoscopy Unit, Clinique Paris-Bercy
Charenton-le-Pont
France   

Publication History

Received: 03 January 2024

Accepted after revision: 16 February 2024

Article published online:
28 March 2024

© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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Rüdigerstraße 14, 70469 Stuttgart, Germany

  • References

  • 1 Corley DA, Jensen CD, Marks AR. et al. Adenoma detection rate and risk of colorectal cancer and death. N Engl J Med 2014; 370: 1298-306
  • 2 Ngu WS, Bevan R, Tsiamoulos ZP. et al. Improved adenoma detection with Endocuff Vision: the ADENOMA randomised controlled trial. Gut 2019; 68: 280-288
  • 3 Karsenti D, Tharsis G, Perrot B. et al. Adenoma detection by Endocuff-assisted versus standard colonoscopy in routine practice: a cluster-randomised crossover trial. Gut 2020; 69: 2159-2164
  • 4 Weissman S, Mehta TI, Stein DJ. et al. Comparative efficacy of endoscopic assist devices on colonic adenoma detection: A systematic review with network meta-analysis. J Clin Gastroenterol 2022; 56: 889-894
  • 5 Thayalasekaran S, Bhattacharyya R, Chedgy F. et al. Randomized controlled trial of EndoRings assisted colonoscopy versus standard colonoscopy. Dig Endosc 2023; 35: 354-360
  • 6 Karsenti D, Tharsis G, Perrot B. et al. Effect of real-time computer-aided detection of colorectal adenoma in routine colonoscopy (COLO-GENIUS): a single-centre randomised controlled trial. Lancet Gastroenterol Hepatol 2023; 8: 726-734
  • 7 Patel HK, Chandrasekar VT, Srinivasan S. et al. Second-generation distal attachment cuff improves adenoma detection rate: meta-analysis of randomized controlled trials. Gastrointest Endosc 2021; 93: 544-553
  • 8 Xu H, Tang RSY, Lam TYT. et al. Artificial intelligence-assisted colonoscopy for colorectal cancer screening: A multicenter randomized controlled trial. Clin Gastroenterol Hepatol 2023; 21: 337-346
  • 9 Repici A, Spadaccini M, Antonelli G. et al. Artificial intelligence and colonoscopy experience: lessons from two randomised trials. Gut 2022; 71: 757-765
  • 10 Hassan C, Spadaccini M, Iannone A. et al. Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis. Gastrointest Endosc 2021; 93: 77-85
  • 11 Wang J, Ye C, Wu K. et al. The effect of linked color imaging for adenoma detection: A meta-analysis of randomized controlled studies. J Gastrointest Liver Dis 2022; 31: 67-73
  • 12 Li J, Zhang D, Wei Y. et al. Colorectal sessile serrated lesion detection using linked color imaging: A multicenter, parallel randomized controlled trial. Clin Gastroenterol Hepatol 2023; 21: 328-336
  • 13 Karsenti D, Perrod G, Perrot B. et al. Impact of linked color imaging on the proximal adenoma miss rate: a multicenter tandem randomized controlled trial. The COCORICO trial. Endoscopy 2024 (In press).
  • 14 Aziz M, Ahmed Z, Haghbin H. et al. Does i-scan improve adenoma detection rate compared to high-definition colonoscopy? A systematic review and meta-analysis. Endosc Int Open 2022; 10: E824-E831
  • 15 Antonelli G, Bevivino G, Pecere S. et al. Texture and color enhancement imaging versus high definition white-light endoscopy for detection of colorectal neoplasia: a randomized trial. Endoscopy 2023; 55: 1072-1080
  • 16 Li L, Ou Y, Yue H. et al. Comparison of the detection of colorectal lesions in different endoscopic modalities: A network meta-analysis and systematic review. Exp Ther Med 2019; 18: 154-162
  • 17 Li J, Chen K, Wei Y. et al. Colorectal sessile serrated lesion detection using linked-color imaging versus narrow-band imaging: a parallel randomized controlled trial. Endoscopy 2023; 55: 546-554
  • 18 Aziz M, Haghbin H, Sayeh W. et al. Comparison of artificial intelligence with other interventions to improve adenoma detection rate for colonoscopy: A network meta-analysis. J Clin Gastroenterol 2024; 58: 143-155
  • 19 Neumann H, Kreft A, Sivanathan V. et al. Evaluation of novel LCI CAD EYE system for real time detection of colon polyps. PLoS One 2021; 16: e0255955
  • 20 Aniwan S, Mekritthikrai K, Kerr SJ. et al. Computer-aided detection, mucosal exposure device, their combination, and standard colonoscopy for adenoma detection: a randomized controlled trial. Gastrointest Endosc 2023; 97: 507-516
  • 21 Spadaccini M, Hassan C, Rondonotti E. et al. Combination of mucosa-exposure device and computer-aided detection for adenoma detection during colonoscopy: a randomized trial. Gastroenterology CERTAIN Study Group 2023; 165: 244-251
  • 22 Ahmad A, Wilson A, Haycock A. et al. Evaluation of a real-time computer-aided polyp detection system during screening colonoscopy: AI-DETECT study. Endoscopy 2023; 55: 313-319
  • 23 Rembacken B, Hassan C, Riemann JF. et al. Quality in screening colonoscopy: position statement of the European Society of Gastrointestinal Endoscopy (ESGE). Endoscopy 2012; 44: 957-68
  • 24 Kaminski MF, Thomas-Gibson S, Bugajski M. et al. Performance measures for lower gastrointestinal endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative. Endoscopy 2017; 49: 378-397
  • 25 Zimmermann-Fraedrich K, Groth S, Sehner S. et al. Effects of two instrument-generation changes on adenoma detection rate during screening colonoscopy: results from a prospective randomized comparative study. Endoscopy 2018; 50: 878-885
  • 26 Pioche M, Denis A, Allescher HD. et al. Impact of 2 generational improvements in colonoscopes on adenoma miss rates: results of a prospective randomized multicenter tandem study. Gastrointest Endosc 2018; 88: 107-116
  • 27 Schottinger JE, Jensen CD, Ghai NR. et al. Association of physician adenoma detection rates with postcolonoscopy Colorectal Cancer. JAMA 2022; 327: 2114-2122
  • 28 Ladabaum U, Dominitz JA, Kahi C. et al. Strategies for colorectal cancer screening. Gastroenterology 2020; 158: 418-432
  • 29 Shaukat A, Kahi CJ, Burke CA. et al. ACG Clinical Guidelines: Colorectal Cancer Screening 2021. Am J Gastroenterol 2021; 116: 458-479
  • 30 Hassan C, Antonelli G, Dumonceau JM. et al. Post-polypectomy colonoscopy surveillance: European Society of Gastrointestinal Endoscopy (ESGE) Guideline - Update 2020. Endoscopy 2020; 52: 687-700