Computer-Aided Detection Improves Adenomas per Colonoscopy for Screening and Surveillance Colonoscopy: A Randomized Trial.

BACKGROUND & AIMS: Colonoscopy for colorectal cancer screening is endoscopist dependent, and colonoscopy quality improvement programs aim to improve efficacy. This study evaluated the clinical benefit and safety of using a computer-aided detection (CADe) device in colonoscopy procedures. METHODS: This randomized study prospectively evaluated the use of a CADe device at 5 academic and community centers by US board-certified gastroenterologists (n = 22). Participants aged ≥40 scheduled for screening or surveillance (≥3 years) colonoscopy were included; exclusion criteria included incomplete procedure, diagnostic indication, inflammatory bowel disease, and familial adenomatous polyposis. Patients were randomized by endoscopist to the standard or CADe colonoscopy arm using computer-generated, random-block method. The 2 primary endpoints were adenomas per colonoscopy (APC), the total number of adenomas resected divided by the total number of colonoscopies; and true histology rate (THR), the proportion of resections with clinically significant histology divided by the total number of polyp resections. The primary analysis used a modified intention-to-treat approach. RESULTS: Between January and September 2021, 1440 participants were enrolled to be randomized. After exclusion of participants who did not meet the eligibility criteria, 677 in the standard arm and 682 in the CADe arm were included in a modified intention-to-treat analysis. APC increased significantly with use of the CADe device (standard vs CADe: 0.83 vs 1.05, P = .002; total number of adenomas, 562 vs 719). There was no decrease in THR with use of the CADe device (standard vs CADe: 71.7% vs 67.4%, P for noninferiority < .001; total number of non-neoplastic lesions, 284 vs 375). Adenoma detection rate was 43.9% and 47.8% in the standard and CADe arms, respectively (P = .065). CONCLUSIONS: For experienced endoscopists performing screening and surveillance colonoscopies in the United States, the CADe device statistically improved overall adenoma detection (APC) without a concomitant increase in resection of non-neoplastic lesions (THR). CLINICALTRIALS: gov registration: NCT04754347.

Improvement in adenoma detection using a novel artificial intelligence-aided polyp detection device.

Background and study aims Detecting colorectal neoplasia is the goal of high-quality screening and surveillance colonoscopy, as reflected by high adenoma detection rate (ADR) and adenomas per colonoscopy (APC). The aim of our study was to evaluate the performance of a novel artificial intelligence (AI)-aided polyp detection device, Skout, with the primary endpoints of ADR and APC in routine colonoscopy. Patients and methods We compared ADR and APC in a cohort of outpatients undergoing routine high-resolution colonoscopy with and without the use of a real-time, AI-aided polyp detection device. Patients undergoing colonoscopy with Skout were enrolled in a single-arm, unblinded, prospective trial and the results were compared with a historical cohort. All resected polyps were examined histologically. Results Eighty-three patients undergoing screening and surveillance colonoscopy at an outpatient endoscopy center were enrolled and outcomes compared with 283 historical control patients. Overall, ADR with and without Skout was 54.2 % and 40.6 % respectively ( P  = 0.028) and 53.6 % and 30.8 %, respectively, in screening exams ( P  = 0.024). Overall, APC rate with and without Skout was 1.46 and 1.01, respectively, ( P  = 0.104) and 1.18 and 0.50, respectively, in screening exams ( P  = 0.002). Overall, true histology rate (THR) with and without Skout was 73.8 % and 78.4 %, respectively, ( P  = 0.463) and 75.0 % and 71.0 %, respectively, in screening exams ( P  = 0.731). Conclusion We have demonstrated that our novel AI-aided polyp detection device increased the ADR in a cohort of patients undergoing screening and surveillance colonoscopy without a significant concomitant increase in hyperplastic polyp resection. AI-aided colonoscopy has the potential for improving the outcomes of patients undergoing colonoscopy.

Prospective study of acetaminophen use and newly diagnosed asthma among women.

Acetaminophen decreases glutathione levels in the lung, which may predispose to oxidative injury and bronchospasm. Acetaminophen use has been associated with asthma in cross-sectional studies and a birth cohort. We hypothesized that acetaminophen use would be associated with newly diagnosed adult-onset asthma in the Nurses' Health Study, a prospective cohort study of 121,700 women. Participants were first asked about frequency of acetaminophen use in 1990. Cases with asthma were defined as those with a new physician diagnosis of asthma between 1990 and 1996 plus reiteration of the diagnosis and controller medication use. Proportional hazard models included age, race, socioeconomic status, body mass index, smoking, other analgesic use, and postmenopausal hormone use. During 352,719 person-years of follow-up, 346 participants reported a new physician diagnosis of asthma meeting diagnostic criteria. Increasing frequency of acetaminophen use was positively associated with newly diagnosed asthma (p for trend = 0.006). The multivariate rate ratio for asthma for participants who received acetaminophen for more than 14 days per month was 1.63 (95% confidence interval, 1.11-2.39) compared with nonusers. It would be premature to recommend acetaminophen avoidance for patients with asthma, but further research on pulmonary responses to acetaminophen is necessary to confirm or refute these findings and to identify subgroups whose asthma may be modified by acetaminophen.

Patient factors and medication guideline adherence among older women with asthma.

BACKGROUND: Asthma guidelines are well established but often followed poorly. Determinants of adherence among older persons may differ from younger persons and have not been well characterized. OBJECTIVES: To assess adherence to asthma medication guidelines among older women with asthma and evaluate predictors of adherence with emphasis on asthma characteristics, comorbid medical conditions, work-related factors, social supports, caregiving, and emotional well-being. METHODS: We assessed adherence to the National Asthma Education and Prevention Program medication guidelines among participants in the Nurses' Health Study who reported a physician diagnosis of asthma and reconfirmed the diagnosis on a separate questionnaire, excluding those with chronic obstructive pulmonary disease. RESULTS: Among 121 700 participants in the Nurses' Health Study, 5107 reported physician-diagnosed asthma meeting inclusion criteria. Mean +/- SD age was 63 +/- 7 years in 1998. Adherence with asthma medication guidelines was 57% for mild persistent, 55% for moderate persistent, and 32% for severe persistent asthma (P =.001). In multivariate analysis, nonadherence was associated with severe asthma, increasing age, lower socioeconomic status, current smoking, earlier onset of asthma, and number of comorbid medical conditions. Measures of social isolation, caregiving, and emotional well-being were not associated with nonadherence. CONCLUSIONS: Asthma is undertreated among older women, even those who are health care professionals. Women with advanced age and severe asthma were particularly at risk. Given that the greatest increase in asthma mortality has occurred among older women, further research is needed to examine physician prescribing patterns and patient beliefs in this vulnerable population.