AGA White Paper: Challenges and Gaps in Innovation for the Performance of Colonoscopy for Screening and Surveillance of Colorectal Cancer

Prevalence of "one and done" phenomenon in adenoma detection within a large community-based healthcare system

BACKGROUND AND AIMS

Adenoma detection rate (ADR) is a key quality metric in colonoscopy, reflecting the ability to detect adenomas. However, concerns remain regarding the robustness of ADR as a benchmark. In particular, the "one and done" phenomenon may exist in which physicians are less motivated to find additional adenomas after discovery of the first adenoma. To investigate this topic further, our goal was to understand the relationship between single and multiple adenoma detection.

METHODS

A retrospective cohort study was conducted by using data from 89,587 screening colonoscopies performed by 32 endoscopists within the Sutter Health-Palo Alto Medical Foundation between 2015 and 2020. ADR, single adenoma detection rate (ADR1), and multiple adenoma detection rate (ADR2+) were analyzed by using multivariate logistic regression and linear regression models. Endoscopists were then fit into 4 categories based on median ADR1 and ADR2+ (low ADR1, high ADR2+ ["all or none"], low ADR1, low ADR2+ ["none and done"], high ADR1, high ADR2+ ["all and done"], or high ADR1, low ADR2+ ["one and done"]).

RESULTS

The overall ADR was 45.4%. ADR, ADR1, and ADR2+ were significantly associated with similar factors, including older age, male sex, higher body mass index, smoking status, high-risk colonoscopies, Medicare insured, use of mucosal assist devices, longer withdrawal times, adequate preparation, and procedures performed by high-volume, female endoscopists with a longer duration in practice. The median ADR1 and ADR2+ were 23.95% and 21.29%, respectively. ADR1 and ADR2+ were positively correlated (Pearson correlation coefficient [r], .701; P < .001). Only 4 of 32 endoscopists fit our "one and done" category.

CONCLUSIONS

These findings suggest that ADR1 correlates with ADR2+. Despite concerns, the "one and done" phenomenon is not commonly seen in clinical practice. ADR remains a good surrogate marker for multiple adenoma detection.

Socioeconomic differences in discrepancies between expected and experienced discomfort from colonoscopy and colon capsule endoscopy

Background

Social inequalities in colorectal cancer screening participation are evident. Barriers to screening participation include discomfort from diagnostic modalities. We aimed to describe the discomfort experienced from colonoscopy and colon capsule endoscopy (CCE) and investigate the discrepancy between expected and experienced discomfort stratified by socioeconomic status.

Methods

A randomised controlled trial was conducted offering half of the colorectal cancer screening invitees the choice between CCE and colonoscopy after a positive faecal immunochemical test. This paper includes those who elected to undergo CCE. A positive CCE elicited referral for a therapeutic colonoscopy. Participants reported their discomfort from CCE and from any following colonoscopies in electronically distributed questionnaires. Discomfort was measured using visual analogue scales and compared between socioeconomic subgroups determined by educational level and income.

Results

The experienced discomfort from CCE and colonoscopy differed significantly between educational levels but not income levels. The bowel preparation contributed the most to the experienced discomfort in both CCE and colonoscopy. The discrepancy between expected and experienced discomfort from colonoscopy increased with increasing educational and income levels. A similar trend was seen in CCE between educational levels but not income levels.

Conclusions

None of the results indicated a higher discomfort in lower socioeconomic subgroups. Regardless of the investigation modality, the bowel preparation was the main contributor to experienced discomfort. The discrepancy between expected and experienced discomfort did not seem to be larger in lower socioeconomic subgroups, indicating that this is not a major barrier causing inequalities in screening uptake. This is the first study investigating individual discomfort discrepancy in both CCE and colonoscopy, while being able to stratify by socioeconomic status.

The projected health and economic impact of increased colorectal cancer screening participation among Canadians by income quintile

OBJECTIVES

Disparities in colorectal cancer (CRC) screening uptake by socioeconomic status have been observed in Canada. We used the OncoSim-Colorectal model to evaluate the health and economic outcomes associated with increasing the participation rates of CRC screening programs to 60% among Canadians in different income quintiles.

METHODS

Baseline CRC screening participation rates were obtained from the 2017 Canadian Community Health Survey. The survey participants were categorized into income quintiles using their reported household income and 2016 Canadian Census income quintile thresholds. Within each quintile, the participation rate was the proportion of respondents aged 50-74 who reported having had a fecal test in the past two years. Using the OncoSim-Colorectal model, we simulated an increase in CRC screening uptake to 60% across income quintiles to assess the effects on CRC incidence, mortality, and associated economic costs from 2024 to 2073.

RESULTS

Increasing CRC screening participation rates to 60% across all income quintiles would prevent 69,100 CRC cases and 36,600 CRC deaths over 50 years. The improvement of clinical outcomes would also translate to increased person-years and health-adjusted person-years. The largest impact was observed in the lowest income group, with 22,200 cases and 11,700 deaths prevented over 50 years. Increased participation could lead to higher screening costs ($121 million CAD more per year) and lower treatments costs ($95 million CAD less per year), averaged over the period 2024-2073.

CONCLUSION

Increased screening participation will improve clinical outcomes across all income groups while alleviating associated treatment costs. The benefits of increased participation will be strongest among the lowest income quintile.

Immune-like sandwich multiple hotspots SERS biosensor for ultrasensitive detection of NDKA biomarker in serum

Developing the rapid, specific, and sensitive tumor marker NDKA biosensor has become an urgent need in the field of early diagnosis of colorectal cancer (CRC). Surface-enhanced Raman spectroscopy (SERS) with the advantages of high sensitivity, high resolution as well as providing sample fingerprint, enables rapid and sensitive detection of tumor markers. However, many SERS biosensors rely on boosting the quantity of Raman reporter molecules on individual nanoparticle surfaces, which can result in nanoparticle agglomeration, diminishing the stability and sensitivity of NDKA detection. Here, we proposed an immune-like sandwich multiple hotspots SERS biosensor for highly sensitive and stable analysis of NDKA in serum based on molecularly imprinted polymers and NDKA antibody. The SERS biosensor employs an array of gold nanoparticles, which are coated with a biocompatible polydopamine molecularly imprinted polymer as a substrate to specifically capture NDKA. Then the biosensor detects NDKA through Raman signals as a result of the specific binding of NDKA to the SERS nanotag affixed to the capture substrate along with the formation of multiple hotspots. This SERS biosensor not only avoids the aggregation of nanoparticles but also presents a solution to the obstacles encountered in immune strategies for certain proteins lacking multiple antibody or aptamer binding sites. Furthermore, the practical application of the SERS biosensor is validated by the detection of NDKA in serum with the lower limit of detection (LOD) of 0.25 pg/mL, meanwhile can detect NDKA of 10 ng/mL in mixed proteins solution, illustrating high sensitivity and specificity. This immune-like sandwich multiple hotspots biosensor makes it quite useful for the early detection of CRC and also provides new ideas for cancer biomarker sensing strategy in the future.

Trends in Detection of Adenoma and Sessile Serrated Lesions Over a Decade in a Community-Based Healthcare System

INTRODUCTION

Adenoma detection rate (ADR) is an accepted benchmark for screening colonoscopy. Factors driving ADR and its relationship with sessile serrated lesions detection rate (SSLDR) over time remain unclear. We aim to explore patient, physician, and procedural influences on ADR and SSLDR trends.

METHODS

Using a large healthcare system in northern California from January 2010 to December 2020, a total of 146,818 screening colonoscopies performed by 33 endoscopists were included. ADR and SSLDR were calculated over time using natural language processing. Logistic regression was used to calculate the odd ratios of patient demographics, physician attributes, and procedural details over time.

RESULTS

Between 2010 and 2020, ADR rose from 19.4% to 44.4%, whereas SSLDR increased from 1.6% to 11.6%. ADR increased by 2.7% per year (95% confidence interval 1.9%-3.4%), and SSLDR increased by 1.0% per year (95% confidence interval 0.8%-1.2%). Higher ADR was associated with older age, male sex, higher body mass index, current smoker, higher comorbidities, and high-risk colonoscopy. By contrast, SSLDR was associated with younger age, female sex, white race, and fewer comorbidities. Patient and procedure characteristics did not significantly change over time ( P -interaction >0.05). Longer years in practice and male physician were associated with lower ADR and SSLDR in 2010, but significantly attenuated over time ( P -interaction <0.05).

DISCUSSION

Both ADR and SSLDR have increased over time. Patient and procedure factors did not significantly change over time. Male endoscopist and longer years in practice had lower initial ADR and SSLDR, but significantly lessened over time.

The Utility of Narrow-Band Imaging International Colorectal Endoscopic Classification in Predicting the Histologies of Diminutive Colorectal Polyps Using I-Scan Optical Enhancement: A Prospective Study

(1) Background: This study aimed to evaluate the accuracy of predicting the histology of diminutive colonic polyps (DCPs) (≤5 mm) using i-scan optical enhancement (OE) based on the narrow-band imaging international colorectal endoscopic (NICE) classification. The study compared the diagnostic accuracy between experts who were already familiar with the NICE classification and trainees who were not, both before and after receiving brief training on the NICE classification. (2) Method: This prospective, single-center clinical trial was conducted at the Dong-A University Hospital from March 2020 to August 2020 and involved two groups of participants. The first group comprised two experienced endoscopists who were proficient in using i-scan OE and had received formal training in optical diagnosis and dye-less chromoendoscopy (DLC) techniques. The second group consisted of three endoscopists in the process of training in internal medicine at the Dong-A University Hospital. Each endoscopist examined the polyps and evaluated them using the NICE classification through i-scan OE. The results were not among the participants. Trained endoscopists were divided into pre- and post-training groups. (3) Results: During the study, a total of 259 DCPs were assessed using i-scan OE by the two expert endoscopists. They made real-time histological predictions according to the NICE classification criteria. For the trainee group, before training, the area under the receiver operating characteristic curves (AUROCs) for predicting histopathological results using i-scan OE were 0.791, 0.775, and 0.818. However, after receiving training, the AUROCs improved to 0.935, 0.949, and 0.963, which were not significantly different from the results achieved by the expert endoscopists. (4) Conclusions: This study highlights the potential of i-scan OE, along with the NICE classification, in predicting the histopathological results of DCPs during colonoscopy. In addition, this study suggests that even an endoscopist without experience in DLC can effectively use i-scan OE to improve diagnostic performance with only brief training.