Detection of endoscopic looping during colonoscopy procedure by using embedded bending sensors

The impact of abdominal compression devices on colonoscopy outcomes: a systematic review and meta-analysis of randomized controlled trials

OBJECTIVE

Colonoscopy is the gold standard method for colorectal cancer screening. Looping occurs in 91% of cases undergoing colonoscopy and can cause patient discomfort, prolonged cecal intubation time (CIT), and colon perforation. This meta-analysis investigates the impact of abdominal compression devices (ACD) on colonoscopy outcomes.

METHODS

A systematic review and meta-analysis synthesizing randomized controlled trials (RCTs), retrieved by systematically searching: PubMed, EMBASE, WOS, SCOPUS, and Cochrane through February 2nd, 2023. Continuous and dichotomous outcomes were pooled using mean difference (MD) and risk ratio (RR) along with confidence interval (CI) using Revman. Our review protocol was prospectively published on PROSPERO with ID: CRD42023397344.

RESULTS

We included eight RCTs with a total of 1,889 patients. ACD was effective to decrease CIT (MD: -2.15 with a 95% CI [-3.49, -0.80], p = .002), postural change (RR: 0.57 with 95% CI [0.49, 0.66], p = .00001), and VAS pain score (MD: -1.49 with 95% CI [-1.81, -1.17], p = .0001). However, there was no difference between ACD and control groups regarding manual compression (RR: 0.65 with 95% CI [0.42, 1.00], p = .05), complete colonoscopy rate (CCR) (RR: 1.01 with 95% CI [0.99, 1.04], p = .31), and cecal intubation length (CIL) (MD: -2.25 with 95% CI [-7.64, 3.14], p = .41).

CONCLUSION

ACD during colonoscopy may enhance patient comfort by reducing CIT, pain, and postural changes. Nevertheless, additional RCTs are necessary to validate these results and determine the most suitable approach to utilize ACD for colonoscopy.

Impact of looping on premalignant polyp detection during colonoscopy

BACKGROUND

The presence of premalignant polyps on colonoscopy is an indicator of metachronous colorectal cancer. Looping during colonoscopy is associated with old age, female sex, and colonoscopy insertion time. However, the clinical significance of looping is not fully understood. We aimed to clarify the effect of looping on colorectal premalignant polyp detection.

AIM

To assess the effects of looping on premalignant polyp detection using logistic regression analyses.

METHODS

We retrospectively investigated patients who underwent colonoscopy at Toyoshima Endoscopy Clinic between May, 2017 and October, 2020. From the clinic’s endoscopy database, we extracted data on patient age, sex, endoscopist-assessed looping, colonoscopy duration, endoscopist experience, detection rate, and number of premalignant polyps.

RESULTS

We assessed 12259 patients (mean age, 53.6 years; men, 50.7%). Looping occurred in 54.3% of the patients. Mild and severe looping were noted in 4399 and 2253 patients, respectively. The detection rates of adenomas, advanced adenomas, high-risk adenomas, clinically significant serrated polyps (CSSPs), and sessile serrated lesions (SSLs) were 44.7%, 2.0%, 9.9%, 8.9% and 3.5%, respectively. The mean numbers of adenomas and SSLs were 0.82 and 0.04, respectively. The detection rates of adenomas, high-risk adenomas, and CSSPs increased with looping severity (all P < 0.001). The number of adenomas increased with looping severity (P < 0.001). Multivariate analyses found that detection of adenomas, high-risk adenomas, and CSSPs was associated with severe looping (P < 0.001, P < 0.001, and P = 0.007, respectively) regardless of age, sex, time required for colonoscope insertion and withdrawal, and endoscopist experience.

CONCLUSION

Looping severity was independently associated with high detection rates of premalignant polyps. Therefore, looping may predict the risk of metachronous colorectal cancer. Endoscopists should carefully examine the colorectum of patients with looping.

A Real-Time Endoscope Motion Tracker

OBJECTIVE

In colonoscopy, it is desirable to accurately localize the position of the endoscope's distal tip. Current tip localization techniques are not sufficient for recording the position and movement of the tip, nor is its rotation measured. We hypothesize that integration of multiple tracking modalities can effectively record the endoscope's motion in real time and continuously corrects cumulative errors.

METHODS

A dual modality tracking method is developed to measure the motion of the endoscope's insertion tube in real time, including insertion length, rotation angle, and their velocities. Optical trackballs were used to measure the endoscope insertion tube's motion and cameras were used to correct cumulative errors.

RESULTS

The accuracy of insertion length and rotational angle were measured. For speeds ≤ 10 mm/s, the median and 90th percentile insertion position errors were 0.88 mm and 2.2 mm, respectively. The insertion position error increases with the speed, reaching a maximum of 10 mm for speeds < 40 mm/s. 11° and 21° were the median and 90th percentile rotation angle errors for angular speeds < 40°/s. Cumulative errors are sufficiently reduced by the imaging modality.

CONCLUSION

The prototype device can precisely measure an unmodified endoscope's position, rotation, and motion in real time without significant accumulative error. The prototype device is small and compatible with existing commercial endoscopes as an add-on accessory, which could be used for reporting, localizing the lesions in follow up procedures, operational guidance, quality assurance, and training. Clinical and Translational Impact Statement-This preclinical research develops an endoscope tracker that can be integrated into colonoscopy training, automatically record endoscope motion, and be further developed to improve polyp and tumor localization during colonoscopy.

Progress and prospects of artificial intelligence in colonoscopy

Artificial intelligence (AI) is a branch of computer science. As a new technological science, it mainly develops and expands human intelligence through the research of intelligence theory, methods and technology. In the medical field, AI has bright application prospects (for example: imaging, diagnosis and treatment). The exploration of robotic gastroscopy and colonoscopy systems is not only a bold attempt, but also an inevitable trend of AI in the development of digestive endoscopy in the future. Based on the current research findings, this article summarizes the research progress of colonoscopy, and looking forward for the application of AI in colonoscopy.