AI vs Other Interventions for Colonoscopy: How Do They Compare? - Medscape

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Colonoscopies with artificial quality (AI) show importantly amended adenoma detection rates (ADRs) than astir different endoscopic interventions, according to a caller report.

AI-based tools look to outperform different methods intended to summation ADRs, including distal attachment devices, dye-based/virtual chromoendoscopy, water-based techniques, and balloon-assisted devices, researchers recovered successful a systematic reappraisal and meta-analysis.

Dr Muhammad Aziz

"ADR is simply a precise important prime metric. The higher the ADR, the little apt the accidental of interval cancer," archetypal writer Muhammad Aziz, MD, co-chief gastroenterology chap astatine the University of Toledo, told Medscape Medical News. Interval crab refers to colorectal cancer that is diagnosed within 5 years of a patient's undergoing a antagonistic colonoscopy.

"Numerous interventions person been attempted and researched to spot the interaction connected ADR," helium said. "The caller kid connected the artifact — AI-assisted colonoscopy — is simply a game-changer. I knew that AI was impactful successful improving ADR, but I didn't cognize it would beryllium the best."

The survey was published online successful the Journal of Clinical Gastroenterology.

Analyzing Detection Rates

Current guidelines acceptable an ADR benchmark of 25% overall, with 30% for men and 20% for women undergoing screening colonoscopy. Every 1% summation successful ADR results successful a 3% simplification successful colorectal cancer, Aziz and his co-authors write.

Several methods tin amended ADR implicit modular colonoscopy. Computer-aided detection and AI methods, whch person emerged successful caller years, alert the endoscopist of imaginable lesions successful existent clip with ocular signals.

No nonstop comparative studies had been conducted, truthful to marque an indirect comparison, Aziz and colleagues undertook a systematic reappraisal and web meta-analysis of 94 randomized controlled trials that included 61,172 patients and 20 antithetic survey interventions.

The probe squad assessed the interaction of AI successful examination with different endoscopic methods utilizing comparative hazard for proportional outcomes and mean quality for continuous outcomes. About 63% of the colonoscopies were for screening and surveillance, and 37% were diagnostic. The effectiveness was ranked by P-score (the probability of being the champion treatment).

Overall, AI had the highest P-score (0.96), signifying the champion modality of each interventions for improving ADR, the survey authors write. A sensitivity investigation utilizing the fixed effects exemplary did not importantly change the effect measure.

The web meta-analysis showed importantly higher ADR for AI compared with autofluorescence imaging (relative hazard [RR], 1.33), dye-based chromoendoscopy (RR, 1.22), Endocap (RR, 1.32), Endocuff (RR, 1.19), Endocuff Vision (RR, 1.26), EndoRings (RR, 1.30), flexible spectral imaging colour enhancement (RR,1.26), full-spectrum endoscopy (RR, 1.40), high-definition (HD) colonoscopy (RR, 1.41), linked colour imaging ( 1.21), narrow-band imaging (RR, 1.33), h2o speech (RR, 1.22), and h2o immersion (RR, 1.47).

Among 34 studies of colonoscpies for screening oregon surveillance only, the ADR was importantly improved for linked colour imaging (RR, 1.18), I-Scan with opposition and aboveground enhancement (RR, 1.25), Endocuff (RR, 1.20), Endocuff Vision (RR, 1.13), and h2o speech (RR, 1.24), compared with HD colonoscopy. Only 1 AI survey was included successful this analysis, due to the fact that the others had importantly much patients who underwent colonoscopy for diagnostic indications. In this case, AI did not amended ADR successful examination with HD colonoscopy (RR, 1.44).

In addition, a importantly improved polyp detection complaint (PDR) was noted for AI compared with autofluorescence imaging (RR, 1.28), Endocap (RR, 1.18), Endocuff Vision (RR, 1.21), EndoRings (RR, 1.30), flexible spectral imaging colour enhancement (RR, 1.21), full-spectrum endoscopy (RR, 1.39), HD colonoscopy (RR, 1.34), linked colour imaging (RR, 1.19), and narrow-band imaging (RR, 1.21). Again, AI had the highest P-score (RR, 0.93).

Among 17 studies of colonoscopy for screening and surveillance, lone 1 AI survey was included for PDR. A importantly higher PDR was noted for AI arsenic compared with HD colonoscopy (RR, 1.33). None of the different interventions improved PDR implicit HD colonoscopy.

No AI Advantage for Serrated Polyps

Twenty-three studies evaluated detection for serrated polyps, including 3 AI studies. AI did not amended the serrated polyp detection complaint (SPDR) compared with different interventions. However, respective modalities did amended SPDR: G-EYE compared with full-spectrum endoscopy (RR, 3.93), linked colour imaging compared with full-spectrum endoscopy (RR, 1.88) and HD colonoscopy (RR, 1.71), and Endocuff Vision compared with HD colonoscopy (RR, 1.36). G-EYE had the highest P-score (0.93).

AI importantly improved adenomas per colonoscopy compared with full-spectrum endoscopy (mean quality [MD], 0.38), HD colonoscopy (MD, 0.18), and narrow-band imaging (MD, 0.13), the authors note. However, the fig of adenomas detected per colonoscopy was importantly little for AI compared with Endocap (-0.13). Endocap had the highest P-score (0.92).

Dr Jeremy Glissen Brown

"The strengths of this survey see the wide scope of endoscopic add-ons included, the fig of trials included, and the granularity of immoderate of the reporting data," Jeremy Glissen Brown, MD, a gastroenterologist and an adjunct prof of medicine astatine Duke University, told Medscape Medical News.

Glissen Brown, who wasn't progressive with this study, researches AI tools for polyp detection. He and colleagues person recovered that AI decreases adenoma miss rates and increases the fig of first-pass adenomas detected per colonoscopy.

"The limitations see important heterogeneity among galore of the comparisons, arsenic good arsenic a precocious hazard of bias, arsenic it is technically hard to execute blinding of supplier participants successful the device-based RCTs [randomized controlled trials] that this investigation was based on," helium said.

Additional Considerations

Aziz and colleagues enactment the request for further studies of AI-based detection, peculiarly for screening and surveillance. For wide adoption into objective practice, caller systems indispensable person higher specificity, sensitivity, accuracy, and efficiency, they write.

"AI exertion needs further optimization, arsenic determination is inactive the facet of having a batch of mendacious positives — lesions detected but not needfully adenomas that tin crook into cancer," Aziz said. "This decreases the ratio of the colonoscopy and increases the anesthesia and sedation time. In addition, antithetic AI systems person antithetic diagnostic yield, arsenic it each depends connected the images that were fed to the strategy oregon algorithm."

Glissen Brown besides pointed to the debased fig of AI-based studies involving serrated polyp lesion detection. Future probe could analyse whether computer-aided detection systems (CADe) alteration miss rates and summation detection rates for sessile serrated lesions, helium said.

For applicable objective purposes, Glissen Brown highlighted the imaginable complementary quality of the assorted colonoscopy tools. When utilized together, for instance, AI and Endocuff whitethorn summation ADRs adjacent further and alteration the fig of missed polyps done antithetic mechanisms, helium said.

"It is besides important successful instrumentality probe to interrogate the outgo vs payment of immoderate involution oregon operation of interventions," helium said. "I deliberation with CADe this is inactive thing that we are figuring out. We volition request to find caller ways of making these technologies affordable, particularly arsenic the statement of which clinically meaningful outcomes we analyse erstwhile it comes to AI continues to evolve."

No backing root for the survey was reported. Two authors person received assistance enactment from oregon person consulted for respective pharmaceutical and aesculapian instrumentality companies. Glissen Brown has disclosed nary applicable fiscal relationships.

J Clin Gastroenterol. Published online November 28, 2022. Abstract

Carolyn Crist is simply a wellness and aesculapian writer who reports connected the latest studies for Medscape, MDedge, and WebMD.

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