White light computer-aided optical diagnosis of diminutive colorectal polyps in routine clinical practice.

Background and study aims Artificial Intelligence (AI) systems could make the optical diagnosis (OD) of diminutive colorectal polyps (DCPs) more reliable and objective. This study was aimed at prospectively evaluating feasibility and diagnostic performance of AI-standalone and AI-assisted OD of DCPs in a real-life setting by using a white light-based system (GI Genius, Medtronic Co, Minneapolis, Minnesota, United States). Patients and methods Consecutive colonoscopy outpatients with at least one DCP were evaluated by 11 endoscopists (5 experts and 6 non-experts in OD). DCPs were classified in real time by AI (AI-standalone OD) and by the endoscopist with the assistance of AI (AI-assisted OD), with histopathology as the reference standard. Results Of the 480 DCPs, AI provided the outcome "adenoma" or "non-adenoma" in 81.4% (95% confidence interval [CI]: 77.5-84.6). Sensitivity, specificity, positive and negative predictive value, and accuracy of AI-standalone OD were 97.0% (95% CI 94.0-98.6), 38.1% (95% CI 28.9-48.1), 80.1% (95% CI 75.2-84.2), 83.3% (95% CI 69.2-92.0), and 80.5% (95% CI 68.7-82.8%), respectively. Compared with AI-standalone, the specificity of AI-assisted OD was significantly higher (58.9%, 95% CI 49.7-67.5) and a trend toward an increase was observed for other diagnostic performance measures. Overall accuracy and negative predictive value of AI-assisted OD for experts and non-experts were 85.8% (95% CI 80.0-90.4) vs. 80.1% (95% CI 73.6-85.6) and 89.1% (95% CI 75.6-95.9) vs. 80.0% (95% CI 63.9-90.4), respectively. Conclusions Standalone AI is able to provide an OD of adenoma/non-adenoma in more than 80% of DCPs, with a high sensitivity but low specificity. The human-machine interaction improved diagnostic performance, especially when experts were involved.

GI genius endoscopy module: a clinical profile.

INTRODUCTION: The identification of early-stage colorectal cancers (CRC) and the resection of pre-cancerous neoplastic lesions through colonoscopy allows to decrease both CRC incidence and mortality. However, colonoscopy miss rates up to 26% for adenomas and 9% for advanced adenomas have been reported. In recent years, artificial intelligence (AI) systems have been emerging as easy-to-use tools, potentially lowering the risk of missing lesions. AREAS COVERED: This review paper focuses on GI Genius device (Medtronic Co. Minneapolis, MN, U.S.A.) a computer-assisted tool designed to assist endoscopists during standard white-light colonoscopies in detecting mucosal lesions. EXPERT OPINION: Randomized controlled trials (RCTs) suggest that GI Genius is a safe and effective tool for improving adenoma detection, especially in CRC screening and surveillance colonoscopies. However, its impact seems to be less significant among experienced endoscopists and in real-world clinical scenarios compared to the controlled conditions of RCTs. Furthermore, it appears that GI Genius mainly enhances the detection of non-advanced, small polyps, but does not significantly impact the identification of advanced and difficult-to-detect adenoma. When using GI Genius, no complications were documented. Only a small number of studies reported an increased in withdrawal time or the removal of non-neoplastic lesions.

The carbon cost of inappropriate endoscopy.

BACKGROUND AND AIMS: Digestive endoscopy is a resource-intensive activity with a conspicuous carbon footprint and an estimated rate of inappropriateness. However, the carbon costs of inappropriate endoscopic procedures still remain obscure. Here we evaluated the environmental impact of inappropriate endoscopic examinations. METHODS: We calculated the carbon cost of a standard endoscopic procedure (EGD and colonoscopy [CLS]), taking into account the items (eg, disposable materials, personal protective equipment) and energy required for the endoscopy procedure itself and the cleaning process. The rates of inappropriateness and the mortality cost of carbon (MCC) of endoscopic examinations in different scenarios were calculated. RESULTS: EGD and CLS presented a carbon cost of 5.43 kg and 6.71 kg of CO2, respectively. Different scenarios were evaluated, according to the number of endoscopic procedures performed in Italy per 1000 inhabitants and the reported data on their inappropriateness. The carbon cost of inappropriate EGD and CLS in Italy was 4133 CO2 metric tons per year (MCC, .93), ranging from 3527 to 4749, and equivalent to 1,760,446 L of gasoline consumed. Applying the same data to the European population, the estimated carbon footprint of inappropriate digestive endoscopy in Europe was 30,804 metric tons. CONCLUSIONS: The environmental impact of inappropriate endoscopic procedures in Europe is remarkable. These results highlight the need to adopt novel strategies aimed at reducing both the carbon footprint of digestive endoscopy and the rate of inappropriate procedures.

Scoring systems for risk stratification in upper and lower gastrointestinal bleeding.

Several scoring systems have been developed for both upper and lower GI bleeding to predict the bleeding severity and discriminate between low-risk patients, who may be suitable for outpatient management, and those who would likely need hospital-based interventions and are at high risk for adverse outcomes. Risk scores created to identify low-risk patients (namely the Glasgow Blatchford Score and the Oakland score) showed very good discriminative performances and their implementation has proven to be effective in reducing hospital admissions and healthcare burden. Conversely, the performances of risk scores in identifying specific adverse events to define high-risk patients are less accurate, and whether their integration into routine clinical practice has a tangible impact on patient management remains unproven. This review describes the existing risk score systems for GI bleeding, emphasizes key research findings, elucidates the circumstances in which their utilization can be beneficial, examines their constraints when considering routine clinical application, and discuss future development.

Reproducibility and accuracy of a pocket-size ultrasound device in assessing liver steatosis.

BACKGROUND: This diagnostic prospective study compared the feasibility and diagnostic accuracy of Pocket-size Ultrasound Devices (PUDs) against standard ultrasound (US) in detecting liver steatosis using the controlled attenuation parameter (CAP) and liver biopsy as reference standards. MATERIALS AND METHODS: Consecutive patients with chronic liver diseases were assessed for the presence of steatosis using PUD and US. A CAP cut-off value >275 dB/m was applied to establish ≥S1. A 26-patient subgroup underwent liver biopsy. PUD reproducibility was evaluated using Cohen's k statistic. Diagnostic accuracy of PUD and US was given as Sensibility (Sn), Specificity (Sp), Positive and Negative Predictive Values (PPV, NPV), positive and negative Likelihood Ratio (LR+, LR-). RESULTS: 81 consecutive patients (69% males) with multiple etiologies were enroled. PUD inter-observer agreement was good (k 0.77, 95%CI 0.62-0.93). PUD and US identified ≥S1 according to CAP values respectively with Sn 0.87, Sp 0.61, PPV 0.49, NPV 0.91, LR+ 2.04, LR- 0.07, AUROC 0.74 and Sn 0.96, Sp 0.54, PPV 0.47, NPV 0.97, LR+ 2.10, LR- 0.07, AUROC 0.75. CONCLUSIONS: PUD shows good reproducibility and diagnostic accuracy in ruling liver steatosis out, representing a useful point-of-care tool to avail of hepatologists interested in excluding NAFLD, but with basic US skills.

Reproducibility and diagnostic accuracy of pocket-sized ultrasound devices in ruling out compensated cirrhosis of mixed etiology.

OBJECTIVE: Fibrosis is the key prognostic factor in chronic liver disease patients. Liver surface nodularity (LSN) is the ultrasonographic sign with the highest accuracy to detect advanced liver fibrosis. The use of pocket-sized ultrasound devices (PUDs) has been assessed in several clinical settings but never as regards chronic liver disease (CLD) severity. Our study aimed at evaluating the feasibility, reproducibility, and diagnostic accuracy of PUD in LSN identification. METHODS: We enrolled all the consecutive adults referred for percutaneous liver biopsy. Two independent operators evaluated LSN by PUD; one sonographer used standard ultrasound (US). Transient elastography (TE) and liver biopsy were performed on all the patients. PUD reproducibility was evaluated by Cohen's k statistic. PUD, standard US, and TE results were compared with histology staging. RESULTS: A total of 104 consecutive patients (aged 54 ± 14 years) with mixed-etiology CLD were studied. Assessment by PUD was feasible in all the patients and showed very good inter-observer agreement with Cohen's k = 0.87 (95% CI 0.72-0.95). The diagnostic accuracy estimates for PUD in diagnosing compensated cirrhosis (F = 4) were 87.5% sensitivity, 76.8% specificity, positive likelihood ratio (LR) 3.78, and negative likelihood ratio (LR-) 0.16, while those for standard US and TE (> 12.5 kPa) were, respectively, 87.5% sensitivity, 72.6% specificity, LR+ 3.2, and LR- 0.17, and 87.5% sensitivity, 90.5% specificity, LR + 9.2, and LR- 0.13. CONCLUSIONS: PUD reproducibility in assessing LSN was excellent even with operators of different experience. PUD performed very well in excluding advanced CLD. PUD can be used as a first-line tool for screening patients to undergo more invasive techniques, thus shortening the time for clinical decision-making. KEY POINTS: • PUD is highly reproducible in assessing the sign of liver surface nodularity. • PUD showed high diagnostic accuracy in excluding the presence of advanced chronic liver disease. • PUD can be used as a first-line tool for screening patients with CLD who should undergo more invasive techniques.

CA.ME.LI.A. An epidemiological study on the prevalence of CArdiovascular, MEtabolic, LIver and Autoimmune diseases in Northern Italy.

BACKGROUND AND AIMS: CA.ME.LI.A (CArdiovascular risks, MEtabolic syndrome, LIver and Autoimmune disease) is a cross-sectional, epidemiological study performed between 2009-2011 in Abbiategrasso (Milan, Italy) to estimate the prevalence of cardiovascular risk factors, metabolic syndrome, liver and autoimmune diseases in the general adult population. This report focuses on the description and presentation of baseline characteristics of the population. METHODS AND RESULTS: Citizens were randomly selected from the city electoral registers (n = 30903), yielding a sample of 2554 subjects (M = 1257, F = 1297; age, 47 ± 15 yrs; range 18-77 yrs). Men had higher prevalence of overweight or obesity (60.8% vs 41.6%; p < 0.0001) and greater thickness of visceral adipose tissue (40 ± 19 vs 27 ± 17 mm; p < 0.0001); no gender difference was found in subcutaneous adipose tissue thickness. Men also showed higher levels of serum triglycerides, γ-GT, fasting blood glucose, insulin and Homa-IR Index, while HDL, CRP, and prevalence of elevated (>5.0 mg/L) CRP were lower. Compared to normal weight men, risk-ratio (RR) of CRP elevation was 1.32 (ns) in overweight and 2.68 (p < 0.0001) in obese subjects. The corresponding figures in females were 2.68 (p < 0.0001) and 5.18 (p < 0.0001). Metabolic syndrome was more frequent in men (32.7% vs 14.5%; RR: 2.24, p < 0.0001). Interadventitia common carotid artery diameter was higher in men and increased with age and BMI. CONCLUSIONS: The present study reports on the overall characteristics of a large population from Northern Italy. It aims to identify the associations among cardiovascular risk factors to prevent their development and progression, improve healthy lifestyle and identify subjects liable to pharmacological interventions.