We aimed to evaluate the usefulness and acceptability of CapsoCam Plus (CapsoCam) in Japanese patients.

This retrospective single-center study enrolled 930 patients with suspected small-bowel bleeding (SSBB) who underwent capsule endoscopy. Thirty-three patients using CapsoCam and PillCam SB3 (SB3) were matched using propensity score matching. The diagnostic yield and the acceptability of CapsoCam were evaluated.

There was no SSBB case where capsule endoscopy was performed within 48 h of bleeding. CapsoCam had a significantly higher observation rate of the entire small bowel (97% vs. 73%, p = 0.006) and Vater's papilla (82% vs. 15%, p < 0.001) than SB3. The reading time of CapsoCam was significantly longer than that of SB3 (30 vs. 25 min, p < 0.001), and CapsoCam's time from the capsule endoscopy swallowing to read completion was longer than that of SB3 (37 vs. 12 h, p < 0.001). The two groups showed no difference in the capsule endoscopy findings according to the P classification. Notably, 85% of the patients using CapsoCam reported examination distress as "not at all" or "almost not," and 94% reported swallowing difficulty as "very easy" or "easy."

CapsoCam took time to read; however, it is a well-tolerated examination with a high observation rate of Vater's papilla and entire small-bowel mucosa. Detectability of bleeding sources was comparable in both modalities for cases of occult SSBB and overt SSBB more than 48 h after bleeding. CapsoCam is a useful modality for patients with SSBB.

Optimization of bowel preparation for small bowel capsule endoscopy (SBCE) is debated. Guidelines recommend 2 L of iso-osmolar polyethylene glycol (PEG) to improve SBCE visibility. We compared the efficacy of the standard 2 L PEG solution with a 1 L PEG plus ascorbate (PEG-ASC) preparation, which has already been established for large-bowel preparation.

Between October 2020 and February 2022, patients undergoing SBCE were assigned to receive 2 L PEG or 1 L PEG-ASC bowel preparation on an even- or odd-day basis. Bowel cleanliness was evaluated using the small bowel mucosal visibility scoring system (SBMVSS).

Following propensity score matching using a random forest method, two comparable populations of patients treated with 2 L PEG (n=74, male 41%, 53±17 years) and 1 L PEG-ASC (n=74, male 42%, 55±21 years) were obtained from the original cohort of 221 consecutive SBCE patients. Our results showed a trend towards more frequent adequate mucosal visibility with 1 L PEG-ASC compared to 2 L PEG (small bowel mucosal visibility ≥2 in all three small bowel tertiles, p=0.07), as per the SBMVSS score. No significant differences were observed in the diagnostic yield (p=1.00), visibility score=9 (p=0.85), SBCE completeness (p=0.33), or adequate mucosal visibility in each tertile (p=0.61, p=0.74, and p=0.70 for the first, second, and third tertiles, respectively).

Our study suggests the non-inferiority of the 1 L PEG-ASC solution over the standard 2 L PEG for SBCE preparation.

Glasgow-Blachford (GBS) and Rockall scores are recognized tools to prioritize patients with upper gastrointestinal bleeding. Their utility in predicting findings on capsule endoscopy (CE) in patients with overt small bowel bleeding (OSBB) remains unclear. The aim was to assess use of these scores in predicting relevant findings on CE and outcome among patients with suspected OSBB.

A retrospective analysis was performed from January 2019 to June 2022. Clinical parameters and scores were collected at presentation and at 24 hours. Univariate analysis used simple logistic regression, chi-squared test or Mann-Whitney as needed. ROC analysis was performed selecting the optimal cut-off point maximized by the Youden index.

Seventy-nine patients were included, 62% of whom had relevant findings. The predictor showing the highest discrimination ability was the initial GBS (area under the curve [AUC] 0.625; 95% confidence interval [CI] 0.49-0.76). The optimal cut-off point was at least 4, with sensitivity 98%, specificity 30%, and accuracy 72%. Multivariable regression analysis showed inpatient status on CE (odds ratio [OR] 117.27; 95% CI 11.32-4492.93; P = 0.001), shorter time to CE (OR 1.02; CI 1.01-1.04; P = 0.018), higher initial GBS (OR 1.22; CI 1.06-1.43; P = 0.009), and higher GBS within 24 hours (OR 1.19; CI 1.04-1.37; P = 0.013) were predictive factors for relevant findings on CE, with a model AUC 0.802, sensitivity 91.8%, and specificity 63.3%.

GBS and Rockall scores were useful in predicting relevant findings on CE in this cohort of patients with suspected OSBB. In patients with GBS 5 or higher, early CE during the same admission is warranted.

Capsule endoscopy has been proven as an efficient and accurate tool in the diagnosing and monitoring patients with inflammatory bowel disease, especially Crohn's disease (CD). The current European Crohn's and Colitis Organization guidelines recommend small bowel disease assessment in newly diagnosed CD, wherein small bowel capsule endoscopy (SBCE) is of prime importance. SBCE plays an essential role in assessing mucosal healing in patients with CD, serving as a monitoring tool in a treat to target strategy, and is capable of identifying high-risk patients for future flares.

Small bowel bleeding (SBB) is the main indication for videocapsule endoscopy (VCE); the diagnostic yield (DY) could be influenced by antithrombotic therapies. We explored the effects of these therapies on SBB.

Consecutive patients from two centers (Milan, Italy and Sheffield, UK) who underwent VCE between March 2001 and July 2020 were considered. Demographic data, clinical parameters, drug therapy, and technical characteristics of the procedure were collected. VCE findings and DY were evaluated.

In total, 957 patients (1,052 VCEs) underwent VCE for SBB (DY 50.6%, no retention); 27 patients (27 VCEs) received direct oral anticoagulants, 87 (88 VCEs) received other anticoagulants, 115 (135 VCEs) received antiplatelet therapy, 198 (218 VCEs) received monotherapy, and 31 (32 VCEs) received combined therapy. There were no differences in the completion rate, findings, and DYs between each subgroup or between monotherapy and combined therapy. The overt bleeding rate was similar in all groups, even when comparing antithrombotic users versus those not on therapy (p=0.59) or monotherapy versus combined therapy (p=0.34).

VCE is safe and has a high clinical impact on SBB. Antithrombotic therapies did not affect DY or overt bleeding rate and, consequently, can be considered safe in terms of SBB risk.

Capsule endoscopy (CE) is a minimally invasive exam suitable of panendoscopic evaluation of the gastrointestinal (GI) tract. Nevertheless, CE is time-consuming with suboptimal diagnostic yield in the upper GI tract. Convolutional neural networks (CNN) are human brain architecture-based models suitable for image analysis. However, there is no study about their role in capsule panendoscopy.

Our group developed an artificial intelligence (AI) model for panendoscopic automatic detection of pleomorphic lesions (namely vascular lesions, protuberant lesions, hematic residues, ulcers, and erosions). 355,110 images (6,977 esophageal, 12,918 gastric, 258,443 small bowel, 76,772 colonic) from eight different CE and colon CE (CCE) devices were divided into a training and validation dataset in a patient split design. The model classification was compared to three CE experts' classification. The model's performance was evaluated by its sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and area under the precision-recall curve.

The binary esophagus CNN had a diagnostic accuracy for pleomorphic lesions of 83.6%. The binary gastric CNN identified pleomorphic lesions with a 96.6% accuracy. The undenary small bowel CNN distinguished pleomorphic lesions with different hemorrhagic potentials with 97.6% accuracy. The trinary colonic CNN (detection and differentiation of normal mucosa, pleomorphic lesions, and hematic residues) had 94.9% global accuracy.

We developed the first AI model for panendoscopic automatic detection of pleomorphic lesions in both CE and CCE from multiple brands, solving a critical interoperability technological challenge. Deep learning-based tools may change the landscape of minimally invasive capsule panendoscopy.

Deciding which patients with suspected small bowel bleeding (SSB) would benefit most from small bowel capsule endoscopy (SBCE) is challenging. Our aim was to perform an external validation of the recently developed SSB Capsule Diagnostic (Dx) score that includes 3 variables (hospital admission with overt bleeding, hemoglobin <6.4 g/dL and age <54 years) and has been shown to be potentially useful in limiting the use of SBCE in SSB low-risk patients.

Retrospectively included all adult patients submitted to SBCE for SSB between November 2007 and December 2019. Patients' demographic, clinical and laboratorial data at the time of SBCE were recorded. Small bowel lesions were classified according to Saurin classification. The SSB Capsule Dx score was calculated, and its calibration and discrimination ability were assessed.

We assessed 473 SBCEs for SSB. Patients' mean age was 61.2 ± 17.9 years and 65.8% were female. P2 lesions were present in 36.2% of SBCEs. There was a significant association between the score and P2 lesions (p < 0.001). Mean score was -0.21 ± 0.87 having a fair accuracy toward the outcome (C-statistic 0.700; 95% confidence interval, 0.652-0.749; p < 0.001). A cutoff value of 0 was found to have a high sensitivity (86.0%) and negative predictive value (84.9%) for the diagnosis of P2 lesions at SBCE.

Patients with a SSB Capsule Dx score <0 are unlikely to have a significant lesion on SBCE, thus its routine use in the clinical practice may be useful in the identification of low-risk SSB patients.

Background: Small bowel capsule endoscopy (SBCE) is an established non-invasive diagnostic modality for a variety of small bowel pathologies and has a significant role in altering the treatment course. The diagnostic yield of SBCE in the published literature varies widely between 45 and 75%. Furthermore, it is unclear if any patient-related factors predict higher diagnostic yield. The aim of this study is to report the diagnostic yield of SBCE for suspected small bowel disease and identify any predictive factors for identifying significant pathology on SBCE. Method: A retrospective study was conducted at Mubarak Al-Kabeer Hospital in Kuwait for patients who underwent SBCE between October 2013 and February 2022. All patients underwent upper and lower endoscopy prior to referral for SBCE. Patients' medical records were reviewed to determine SBCE indications, results, and complications. The significance of the SBCE finding was classified according to the Saurin system. A logistic regression was performed to characterize baseline predictors for identifying significant pathology on SBCE. Results: Overall, 210 patients underwent SBCE and were included in the analysis. The mean age was 57.9 years (SD 18.5), and 129 (61.4%) were males. The most common indication for SBCE was obscure occult gastrointestinal bleed (75.7%), obscure overt gastrointestinal bleed (28.6%), and investigating gastrointestinal symptoms (7.6%). Adequate bowel preparation was achieved in most patients (88.1%), imaging of the entire small bowel was achieved in 194 patients (92.4%), and no adverse events were recorded. The overall diagnostic yield of SBCE for small bowel disease was 68.1%. The most common findings were vascular lesions in the small bowel (40.0%), small bowel ulcers (22.9%), and erosions (22.9%). On multivariate regression analysis, melena at baseline was significantly associated with increased odds of identifying high-risk lesions (Saurin class P2) (OR 2.1, 95%CI 1.03-4.30, p = 0.04). Conclusions: SBCE is an effective and safe tool for investigating small bowel pathology with a diagnostic yield of 68.1% in carefully selected patients undergoing such a test. Melena at baseline is the strongest predictor of identifying high-risk lesions, and patients with which should be prioritized for SBCE.

Capsule endoscopy (CE) is useful for managing patients with suspected small bowel diseases. However, the effect of prolonged CE examination time on CE performance is unknown.

To evaluate the completeness and diagnostic yield of prolonged CE imaging in patients with suspected small bowel bleeding.

We reviewed consecutive records of adult CE examinations via an overnight protocol from Jan 2016 to Dec 2020 at a tertiary center in Taiwan. We subcategorized the CE records by recording length into within 8 h, within 12 h and throughout the whole procedure and compared the completion rate and diagnostic yield between the groups. Cochran's Q test was used for statistical analysis.

A total of 88 patients were enrolled with 78.4% inpatients (median age 72 years). The small bowel evaluation completion rate was 93.2%, which was significantly greater than the 79.5% rate within 12 h (p = 0.025) and the 58% rate within 8 h (p < 0.001). The diagnostic yield was 83% in the whole-course overnight study, which was significantly greater than the 71.6% diagnostic yield within 8 h (p < 0.001) and similar to the 81.8% diagnostic yield within 12 h.

Prolonged overnight CE examination can improve the completion rate and diagnostic yield and should be considered for routine clinical practice.

Small-bowel (SB) capsule endoscopy (CE) is a first-line procedure for exploring the SB. Endoscopic GI PlacemenT (EGIPT) of SB CE is sometimes necessary. Although experience with EGIPT is considerable in pediatric populations, we aimed to describe the safety, efficacy, and outcomes of EGIPT of SB CE in adult patients.

The international CApsule endoscopy REsearch (iCARE) group set up a retrospective multicenter study. Patients over age 18 years who underwent EGIPT of SB CE before May 2022 were included. Data were collected from medical records and capsule recordings. The primary endpoint was the technical success rate of the EGIPT procedures.

Of 39,565 patients from 29 centers, 630 (1.6%) were included (mean age, 62.5 years; 55.9% women). The technical success of EGIPT was achieved in 610 procedures (96.8%). Anesthesia (moderate to deep sedation or general anesthesia) and centers with intermediate or high procedure loads were independent factors of technical success. Severe adverse events occurred in 3 patients (.5%). When technically successful, EGIPT was associated with a high SB CE completion rate (84.4%) and with a substantial diagnostic yield (61.1%). The completion rate was significantly higher when the capsule was delivered in the SB compared with when it was delivered in the stomach.

EGIPT of SB CE is highly feasible and safe, with a high completion rate and diagnostic yield. When indicated, it should be performed with patients under anesthesia, and the capsule should be delivered in the duodenum rather than the stomach for better SB examination outcomes.

Small bowel gastrointestinal bleeding (GIB) is associated with multiple blood transfusions, prolonged and/or multiple hospital admissions, utilization of significant healthcare resources, and negative effects on patient quality of life. There is a well-recognized association between antithrombotic medications and small bowel GIB. We aimed to identify the diagnostic yield of small bowel capsule endoscopy (SBCE) in patients on antithrombotic medications and the impact of SBCE on treatment course.

The electronic medical records of nineteen hundred eighty-six patients undergoing SBCE were retrospectively reviewed.

The diagnostic yield for detecting stigmata of recent bleeding and/or actively bleeding lesions in SBCE was higher in patients that were on antiplatelet agents (21.6%), patients on anticoagulation (22.5%), and in patients that had their SBCE performed while they were inpatient (21.8%), when compared to the patients not on antiplatelet agents (12.1%), patients not on anticoagulation (13.5%), and with patients that had their SBCE performed in the outpatient setting (12%). Of 318 patients who had stigmata of recent bleeding and/or actively bleeding lesion(s) identified on SBCE, SBCE findings prompted endoscopic evaluation (small bowel enteroscopy, esophagogastroduodenoscopy (EGD), and/or colonoscopy) in 25.2%, with endoscopic hemostasis attempted in 52.5%.

Our study, the largest conducted to date, emphasizes the importance of performing SBCE as part of the evaluation for suspected small bowel bleeding, particularly in patients taking antithrombotic therapy, and especially during their inpatient hospital stay.

Capsule endoscopy reading is time consuming, and readers are required to maintain attention so as not to miss significant findings. Deep convolutional neural networks can recognise relevant findings, possibly exceeding human performances and reducing the reading time of capsule endoscopy. Our primary aim was to assess the non-inferiority of artificial intelligence (AI)-assisted reading versus standard reading for potentially small bowel bleeding lesions (high P2, moderate P1; Saurin classification) at per-patient analysis. The mean reading time in both reading modalities was evaluated among the secondary endpoints.

Patients aged 18 years or older with suspected small bowel bleeding (with anaemia with or without melena or haematochezia, and negative bidirectional endoscopy) were prospectively enrolled at 14 European centres. Patients underwent small bowel capsule endoscopy with the Navicam SB system (Ankon, China), which is provided with a deep neural network-based AI system (ProScan) for automatic detection of lesions. Initial reading was performed in standard reading mode. Second blinded reading was performed with AI assistance (the AI operated a first-automated reading, and only AI-selected images were assessed by human readers). The primary endpoint was to assess the non-inferiority of AI-assisted reading versus standard reading in the detection (diagnostic yield) of potentially small bowel bleeding P1 and P2 lesions in a per-patient analysis. This study is registered with ClinicalTrials.gov, NCT04821349.

From Feb 17, 2021 to Dec 29, 2021, 137 patients were prospectively enrolled. 133 patients were included in the final analysis (73 [55%] female, mean age 66·5 years [SD 14·4]; 112 [84%] completed capsule endoscopy). At per-patient analysis, the diagnostic yield of P1 and P2 lesions in AI-assisted reading (98 [73·7%] of 133 lesions) was non-inferior (p<0·0001) and superior (p=0·0213) to standard reading (82 [62·4%] of 133; 95% CI 3·6-19·0). Mean small bowel reading time was 33·7 min (SD 22·9) in standard reading and 3·8 min (3·3) in AI-assisted reading (p<0·0001).

AI-assisted reading might provide more accurate and faster detection of clinically relevant small bowel bleeding lesions than standard reading.

ANKON Technologies, China and AnX Robotica, USA provided the NaviCam SB system.

A retrospective study in patients who underwent video capsule endoscopy (VCE) between 2006 and 2016 was conducted in the Clinic for gastroenterology and Hepatology, University Clinical Center of Serbia. A total of 245 patients underwent VCE. In 198 patients the indication was obscure gastrointestinal bleeding (OGIB), with 92 patients having overt and the other 106 occult bleeding. The remaining 47 patients underwent VCE due to suspected small bowel (SB) disease (i.e., Von Hippel-Lindau syndrome, familial adenomatous polyposis, Peutz Jeghers syndrome, Crohn's disease, prolonged diarrhea, abdominal pain, congenital lymphangiectasia, protein-losing enteropathy, tumors, refractory celiac disease, etc.). VCE identified a source of bleeding in 38.9% of patients (in the obscure overt group in 48.9% of patients, and in the obscure occult group in 30.2% of patients). The most common findings were angiodysplasias, tumors, Meckel's diverticulum and Crohn's disease. In the smaller group of patients with an indication other than OGIB, 38.3% of patients had positive VCE findings. The most common indication is OGIB, and the best candidates are patients with overt bleeding; patients with IBD should be evaluated in this setting.

This study aimed to evaluate the use of video capsule endoscopy (VCE) in patients with obscure gastrointestinal bleeding (OGIB), compare cases of overt and occult OGIB, assess the rates of balloon-assisted enteroscopy (BAE) interventions and rebleeding, and identify predictive markers of positive VCE findings.

Medical records of 430 patients who underwent VCE for OGIB between 2004 and 2022 were analyzed. Occult OGIB was defined as IDA or positive fecal occult blood, whereas overt OGIB was defined as clinically imperceptible bleeding. We retrospectively analyzed demographics, VCE findings based on Saurin classification (P0, P1, and P2), outcome of BAE interventions, and rebleeding rates.

A total of 253 patients with overt OGIB and 177 with occult OGIB were included. P1 findings were predominant in both groups, with a similar distribution. The percentage of patients receiving conservative therapy was higher in P1 than in P2 for both overt and occult OGIB. BAE was more frequently performed in P2 than in P1 VCE (83.0% vs. 35.3% in overt OGIB, 84.4% vs. 24.4% in occult OGIB). The percentage of positive findings and intervention in total BAE performed patients were comparable in P1 and P2 of overt OGIB, whereas these percentages in P2 were more than P1 of occult OGIB.

VCE effectively identified OGIB lesions requiring intervention, particularly occult OGIB lesions, potentially reducing unnecessary BAE. Rebleeding rates varied according to the VCE findings, emphasizing the importance of follow-up in high-risk patients.

Background and study aims Capsule endoscopy (CE) is commonly used as the initial exam for suspected mid-gastrointestinal bleeding after normal upper and lower endoscopy. Although the assessment of the small bowel is the primary focus of CE, detecting upstream or downstream vascular lesions may also be clinically significant. This study aimed to develop and test a convolutional neural network (CNN)-based model for panendoscopic automatic detection of vascular lesions during CE. Patients and methods A multicentric AI model development study was based on 1022 CE exams. Our group used 34655 frames from seven types of CE devices, of which 11091 were considered to have vascular lesions (angiectasia or varices) after triple validation. We divided data into a training and a validation set, and the latter was used to evaluate the model's performance. At the time of division, all frames from a given patient were assigned to the same dataset. Our primary outcome measures were sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and an area under the precision-recall curve (AUC-PR). Results Sensitivity and specificity were 86.4% and 98.3%, respectively. PPV was 95.2%, while the NPV was 95.0%. Overall accuracy was 95.0%. The AUC-PR value was 0.96. The CNN processed 115 frames per second. Conclusions This is the first proof-of-concept artificial intelligence deep learning model developed for pan-endoscopic automatic detection of vascular lesions during CE. The diagnostic performance of this CNN in multi-brand devices addresses an essential issue of technological interoperability, allowing it to be replicated in multiple technological settings.

Background and study aims In 2019, the European Society of Gastrointestinal Endoscopy (ESGE) created a working group to develop technical and quality standards for small-bowel capsule endoscopy (SBCE) to improve the daily practice of endoscopy services. They developed 10 quality parameters, which have yet to be tested in a real-life setting. Our study aimed to evaluate the accomplishment of the quality standards in SBCE established by the ESGE in several Spanish centers. Materials and methods An online survey of 11 multiple-choice questions related to the ESGE performance measures was sent to Spanish centers with experience in SBCE. In order to participate and obtain reliable data, at least 100 questionnaires had to be answered per center because that is the minimum number established by ESGE. Results 20 centers participated in the study, compiling 2049 SBCEs for the analysis. Only one of 10 performance measures (cecal visualization) reached the minimum standard established by the ESGE. In five of 10 performance measures (Indication, lesion detection rate, terminology, and retention rate) the minimum standard was nearly achieved. Conclusions Our study is the first multicenter study regarding SBCE quality performance measures in a real setting. Our results show that the minimum standard is hardly reached in most procedures, which calls into question their clinical applicability in real life. We suggest performing similar studies in other countries to evaluate whether there is a need for quality improvement programs or a need to reevaluate the minimum and target values published so far.

Background and study aims The diagnostic yield of small-bowel capsule endoscopy (SBCE) in suspected small bowel bleeding (SSBB) is highly variable. Different reimbursement systems and equipment costs also limit SBCE use in clinical practice. Thus, minimizing non-diagnostic procedures is advisable. This study aimed to assess the SBCE diagnostic yield and identify factors predicting diagnostic findings in a cohort of patients with SSBB. Patients and methods In this retrospective cohort study, we analyzed the medical records of patients who consecutively underwent SBCE for SSBB over 9 years. By logistic regression, we identified covariates predicting diagnostic findings at SBCE. Finally, we performed a post-hoc cost analysis based on previous gastroenterologist or endoscopist consultations versus direct SBCE ordering by other specialists. Results The final analysis included 584 patients. Most SBCEs were ordered by a gastroenterologist or endoscopist (74%). The number of SBCEs without any finding was significantly lower in the gastroenterologist/endoscopist group P <0.001). The SBCE diagnostic yield ordered by a gastroenterologist or endoscopist was significantly higher than that by other specialists (63% vs 52%, odds ratio [OR] 1.57; 95% confidence interval [CI] 1.07-2.26, P =0.019). At multivariate analysis, older age (OR 1.7, 95%CI 1.2-2.4, P =0.005), anemia (OR 4.9, 95%CI 1.9-12, P =0.001), small bowel transit time (OR 1, 95%CI 1-1.02, P =0.039), and referring physician (OR 1.8, 95%CI 1.1-2.7, P =0.003) independently predicted diagnostic findings. Implementing prior gastroenterologist or endoscopist referral vs direct SBCE ordering would reduce medical expenditures by 16%. Conclusions The professional background of referring physicians significantly improves the diagnostic yield of SBCE and contributes to controlling public health costs.

Deep learning provides an efficient automatic image recognition method for small bowel (SB) capsule endoscopy (CE) that can assist physicians in diagnosis. However, the existing deep learning models present some unresolved challenges.

To propose a novel and effective classification and detection model to automatically identify various SB lesions and their bleeding risks, and label the lesions accurately so as to enhance the diagnostic efficiency of physicians and the ability to identify high-risk bleeding groups.

The proposed model represents a two-stage method that combined image classification with object detection. First, we utilized the improved ResNet-50 classification model to classify endoscopic images into SB lesion images, normal SB mucosa images, and invalid images. Then, the improved YOLO-V5 detection model was utilized to detect the type of lesion and its risk of bleeding, and the location of the lesion was marked. We constructed training and testing sets and compared model-assisted reading with physician reading.

The accuracy of the model constructed in this study reached 98.96%, which was higher than the accuracy of other systems using only a single module. The sensitivity, specificity, and accuracy of the model-assisted reading detection of all images were 99.17%, 99.92%, and 99.86%, which were significantly higher than those of the endoscopists' diagnoses. The image processing time of the model was 48 ms/image, and the image processing time of the physicians was 0.40 ± 0.24 s/image (P < 0.001).

The deep learning model of image classification combined with object detection exhibits a satisfactory diagnostic effect on a variety of SB lesions and their bleeding risks in CE images, which enhances the diagnostic efficiency of physicians and improves the ability of physicians to identify high-risk bleeding groups.

The faecal immunochemical test (FIT) is an immunoassay used to detect human blood in the stool. The role of FIT as a screening tool for small bowel pathology remains unclear.

This study aimed to investigate the role of FIT in predicting small bowel pathology in patients with iron deficiency anaemia (IDA).

This was a single tertiary centre prospective study. The inclusion criterion was adults (⩾18 years and <80 years) with IDA who were referred to secondary care for endoscopic investigations.

All patients had a FIT test done in primary care. Eligible patients were invited to have a small bowel capsule endoscopy (SBCE) prior to endoscopy. Patients with subsequent upper or lower gastrointestinal tract malignancy were excluded from the study. IDA was defined as a Hb < 131 g/L for men and <110 g/L for women with ferritin <30 µg/L and/or iron levels <11 µmol/L. A further 100 patients with recurrent/refractory IDA who did not have a FIT test done and had an SBCE were used as the control group.

In total 179 patients were included in the final analysis with a median age of 64.5 years (interquartile range (IQR 51-75)); haemoglobin 101 (IQR 90-111) and ferritin 11(7-20). In the prospective FIT group of 79 patients, there were 35 (44%) patients with significant findings on SBCE which was classed as contributing to IDA. These findings included angioectasia in n = 21 (26.6%) patients which was the most common finding. The other findings included erosions and ulcers = 5 (7.6%); inflammatory strictures = 3 (3.8%); active Crohn's n = 1 (1.3%); visible blood with no clear source n = 3 (3.8%) and bleeding angioectasia n = 1 (1.3%). A positive FIT (>10) had a sensitivity, specificity, positive predictive value and negative predictive value of 34.29%, 54.55%, 37.5% and 51.08%, respectively. In the control group (n = 100), 37% of the patients had significant pathology on SBCE. On logistic regression, age (OR 1.06; 95% CI: 1.03-1.11) was the only factor related to the probability of having a positive finding on SBCE.

Over a third of the patients with IDA have significant findings on SBCE. However, in this study, we did not find that FIT conferred any additional benefit in the detection of small bowel pathology.

Convolutional neural network (CNN) systems that automatically detect abnormalities from small-bowel capsule endoscopy (SBCE) images are still experimental, and no studies have directly compared the clinical usefulness of different systems. We compared endoscopist readings using an existing and a novel CNN system in a real-world SBCE setting.

Thirty-six complete SBCE videos, including 43 abnormal lesions (18 mucosal breaks, 8 angioectasia, and 17 protruding lesions), were retrospectively prepared. Three reading processes were compared: (A) endoscopist readings without CNN screening, (B) endoscopist readings after an existing CNN screening, and (C) endoscopist readings after a novel CNN screening.

The mean number of small-bowel images was 14 747 per patient. Among these images, existing and novel CNN systems automatically captured 24.3% and 9.4% of the images, respectively. In this process, both systems extracted all 43 abnormal lesions. Next, we focused on the clinical usefulness. The detection rates of abnormalities by trainee endoscopists were not significantly different across the three processes: A, 77%; B, 67%; and C, 79%. The mean reading time of the trainees was the shortest during process C (10.1 min per patient), followed by processes B (23.1 min per patient) and A (33.6 min per patient). The mean psychological stress score while reading videos (scale, 1-5) was the lowest in process C (1.8) but was not significantly different between processes B (2.8) and A (3.2).

Our novel CNN system significantly reduced endoscopist reading time and psychological stress while maintaining the detectability of abnormalities. CNN performance directly affects clinical utility and should be carefully assessed.

Although small-bowel capsule endoscopy (CE) is widely used for obscure gastrointestinal bleeding (OGIB), long-term outcomes for OGIB patients after negative CE remain unclear. Herein, we defined negative CE as P0 (no bleeding potential) or P1 (less likely to bleed), based on the P classification using CE. We aimed to clarify long-term outcomes of patients with OGIB after negative CE.

This single-center observational study enrolled 461 consecutive patients with OGIB who underwent CE from March 2014 to October 2021 and were followed up for >1 year. We examined rebleeding rates and predictive factors.

Two hundred and twenty-four (49%) patients had P0, and 237 (51%) had P1 findings. Rebleeding occurred in 9% and 16% of patients in the P0 and P1 groups, respectively. Two patients in the P0 group and 15 in the P1 group showed rebleeding from the small bowel. The rate of small-bowel rebleeding was significantly lower in the P0 group than that in the P1 group (1% vs 6%, P = 0.002), as was the cumulative rebleeding rate (P = 0.004). In the multivariate analysis, history of endoscopic hemostasis (hazard ratio [HR] = 15.958, 95% confidence interval [CI]:4.950-51.447, P < 0.001) and P1 CE findings (HR = 9.989, 95% CI: 2.077-48.030, P = 0.004) were independently predicted small-bowel rebleeding.

OGIB with P0 CE findings rarely showed rebleeding from the small bowel. Rebleeding may occur in patients with OGIB. Patients with history of endoscopic hemostasis for small-bowel lesions or P1 CE findings should be followed up intensively.

Capsule endoscopy (CE) is the first-choice exploration in case of overt small bowel bleeding (SBB). An early CE is known to increase diagnostic yield, but long reading times may delay therapeutics. The study evaluates the diagnostic performance of the artificial intelligence tool TOP100 in patients with overt SBB undergoing early CE with Pillcam SB3.

Patients who underwent early CE (up to 14 days from the bleeding episode) for suspected overt SBB were included. One experienced endoscopist prospectively performed standard reading (SR) and a second blind experienced endoscopist performed a TOP100-based reading (TR). The primary endpoint was TR diagnostic accuracy for lesions with high bleeding potential (P2).

A total of 111 patients were analyzed. The most common clinical presentation was melena (64%). CE showed angiodysplasias in 40.5% of patients (45/111). In per-patient analysis, TR showed a sensitivity of 90.48% (95% CI 82.09-95.80), specificity of 100% (95% CI 87.23-100) with a PPV of 100% (95% CI 94.01-100), NPV of 77.14% (95% CI 63.58-86.71) and diagnostic accuracy of 92.79 (86.29-96.84). At multivariate analysis, adequate intestinal cleansing was the only independent predictor of concordance between TR and SR (OR 2.909, p = 0.019). The median reading time for SR and TR was 23 min (18.0-26.8) and 1.9 min (range 1.7-2.1), respectively (p < 0.001).

TOP100 provides a fast-reading mode for early CE in case of overt small bowel bleeding. It identifies most patients with active bleeding and angiodysplasias, aiding in the prioritization of therapeutic procedures. However, its accuracy in detecting ulcers, varices and P1 lesions seems insufficient.

Video capsule endoscopy (VCE) of the small-bowel has been proven to accurately diagnose small-bowel inflammation and to predict future clinical flares among patients with Crohn's disease (CD). In 2017, the panenteric capsule (PillCam Crohn's system) was introduced for the first time, enabling a reliable evaluation of the whole small and large intestines. The great advantage of visualization of both parts of the gastrointestinal tract in a feasible and single procedure, holds a significant promise for patients with CD, enabling determination of the disease extent and severity, and potentially optimize disease management. In recent years, applications of machine learning, for VCE have been well studied, demonstrating impressive performance and high accuracy for the detection of various gastrointestinal pathologies, among them inflammatory bowel disease lesions. The use of artificial neural network models has been proven to accurately detect/classify and grade CD lesions, and shorten the VCE reading time, resulting in a less tedious process with a potential to minimize missed diagnosis and better predict clinical outcomes. Nevertheless, prospective, and real-world studies are essential to precisely examine artificial intelligence applications in real-life inflammatory bowel disease practice.

Bleeding from the gastrointestinal tract can contribute to the development of iron deficiency anemia (IDA) among individuals without another obvious source of bleeding. In order to identify patients most likely to benefit from examination of the small bowel, our aim was to create a risk score for positive video capsule endoscopy (VCE) in IDA utilizing a multicenter collection of studies.

We performed a retrospective multicenter study utilizing VCE studies performed for an indication of IDA between 1/1/2005 and 7/31/2018. VCE findings were graded based on the P0-P2 grading system. The primary outcome of interest was a positive (P2) VCE. Data were analyzed with Student's t test for continuous variables and the Fisher's exact test for categorical variables. Logistic regression was used to identify independent associations with positive VCE.

In total, 765 VCE procedures were included with 355 (46.5%) male subjects and a median age of 63.2 (SD 15.3) years. One hundred ninety studies (24.8%) were positive (P2) for small bowel bleeding. Four variables associated with positive VCE which were incorporated into a point scoring system: (+) 1 for age ≥ 66 years, active smoking and cardiac arrythmia and (-) 1 for preceding hemoglobin level ≥ 8.5. The risk probabilities for positive VCE-assigned scores - 1, 0, 1, and 2 + were 12.3% (95% CI 7.3-17.3%), 20% (14.9-25.1%), 34.8% (28.6-41%), and 39% (30-47.8%).

In order to improve the diagnostic yield of capsule examinations, risk factors should be applied to clinical decision-making. We created a risk score for positive VCE in IDA, including the risk factors of age, smoking, history of cardiac arrythmia, and preceding hemoglobin level.

Small-bowel (SB) bleeding is a challenging problem for the clinician, presenting many pitfalls in both diagnosis and subsequent treatment. Videocapsule endoscopy (VCE) and device-assisted enteroscopy (DAE) have revolutionized the approach to the patient with SB bleeding, allowing for the endoscopic diagnosis and management of what was previously only a surgical matter. The patients' assessment in SB bleeding is of foremost importance, as treatment success relies on a detailed evaluation of clinical history, suspicion for underlying lesions, and a careful selection and timing of diagnostic and therapeutic tools. This review will summarize current state-of-the-art evidence and practice points, to provide the clinician with a comprehensive guide towards the management of SB bleeding.

The European Society of Gastrointestinal Endoscopy (ESGE) identified the need to benchmark the quality of small bowel capsule endoscopy (SBCE) and produced a set of performance measures (PM). The aim of this study is to critically evaluate the accordance of the PM for SBCE in two Portuguese centers with different SBCE platforms.

The authors conducted a cross-sectional analysis of consecutive SBCE performed in an 18-month period in 2 Portuguese centers that used two different SBCE platforms Mirocam® (IntroMedic, Seoul, South Korea) and PillCam® (Medtronic, Yokneam, Israel). A total of 10 PM (6 key, 4 minor) were evaluated and compared between the 2 centers.

A total of 493 SBCE were included. The minimum standard established by ESGE was reached in 3/6 key PM (complete visualization, lesion detection rate, and capsule retention rate), and none of the 4 minor PM. PM compliance significantly differed between the 2 centers: complete small bowel visualization 95.9 and 90% (p = 0.01), diagnostic yield 50.6 and 63% (p = 0.005), adequate small bowel cleansing level according to Brotz scale 69.54 and 84.6% (p ≤ 0.001), patients with high risk of capsule retention offered a patency capsule 4.2 and 73% (p ≤ 0.001), respectively.

This study highlights and critically discusses technical and organizational issues that should be considered in defining more realistic PM thresholds, aiming to improve SBCE quality.

Videocapsule endoscopy (VCE) is considered the gold standard for overt and obscure gastrointestinal bleeding (OGIB), after negative upper and lower endoscopy. Nonetheless, VCE's diagnostic yield is suboptimal, and it represents a costly, time-consuming, and often not easily available technique. In order to evaluate bleeding risk in patients with atrial fibrillation, several scoring systems have been proposed, but their utilization outside the original clinical setting has rarely been explored. The aim of the study is to evaluate potential role of bleeding risk scoring systems in predicting the occurrence of positive findings at VCE examination, and therefore in increasing VCE diagnostic yield.

Data from consecutive patients undergoing VCE between April 2015 and June 2020 were retrospectively retrieved, and clinical and demographic characteristics were collected. HAS-BLED, ATRIA, and ORBIT scores were calculated, and patients were considered at low or high risk of bleeding accordingly. Discriminative ability of the scores for positive VCE findings has been evaluated by area under receiver operator characteristic curve (AUC) calculation. Diagnostic yield of scores in high- and low-risk patients was calculated.

A total of 413 patients underwent VCE examination, among which 368 (89%) for OGIB. Positive findings were observed in 246 patients (67%), with angiodysplasias being the most frequent lesion (92%). The three scores displayed similar consistent discriminative ability for positive VCE findings (mean AUC = 0.69), and identified high-risk group of patients in which VCE has a higher diagnostic yield.

In the present retrospective study, bleeding scores accurately discriminated patients with higher probability of positive findings at VCE examination. Bleeding scores utilization may help in the management of patients with OGIB, with a potential consistent resource optimization and cost-saving.

capsule endoscopy (CE) revolutionized the study of the small intestine. Nevertheless, reviewing CE images is time-consuming and prone to error. Artificial intelligence algorithms, particularly convolutional neural networks (CNN), are expected to overcome these drawbacks. Protruding lesions of the small intestine exhibit enormous morphological diversity in CE images. This study aimed to develop a CNN-based algorithm for the automatic detection small bowel protruding lesions.

a CNN was developed using a pool of CE images containing protruding lesions or normal mucosa from 1,229 patients. A training dataset was used for the development of the model. The performance of the network was evaluated using an independent dataset, by calculating its sensitivity, specificity, accuracy, positive and negative predictive values.

a total of 18,625 CE images (2,830 showing protruding lesions and 15,795 normal mucosa) were included. Training and validation datasets were built with an 80 %/20 % distribution, respectively. After optimizing the architecture of the network, our model automatically detected small-bowel protruding lesions with an accuracy of 92.5 %. CNN had a sensitivity and specificity of 96.8 % and 96.5 %, respectively. The CNN analyzed the validation dataset in 53 seconds, at a rate of approximately 70 frames per second.

we developed an accurate CNN for the automatic detection of enteric protruding lesions with a wide range of morphologies. The development of these tools may enhance the diagnostic efficiency of CE.

Although bowel preparation influences small bowel visibility for small bowel capsule endoscopy (SBCE), the optimal timing for bowel preparation has not been established yet. Thus, the aim of the study was to evaluate the optimal timing of polyethylene glycol (PEG) for small bowel preparation before SBCE. This multicenter prospective observational study was conducted on patients who underwent SBCE following bowel preparation with polyethylene glycol (PEG). Patients were categorized into three groups according to the time used for completing PEG ingestion: group A, within 6 h; group B, 6-12 h; and group C, over 12 h. The percentage of unclean segment in small bowel (unclean image duration / small bowel transit time × 100) and small bowel visibility quality (SBVQ) were evaluated according to the time interval between the last ingestion of PEG and swallowing of small bowel capsule endoscope. A total of 90 patients were enrolled and categorized into group A (n = 40), group B (n = 27), and group C (n = 23). The percentage of unclean segment in the entire small bowel increased gradually from group A to C (6.6 ± 7.6% in group A, 11.3 ± 11.8% in group B, and 16.2 ± 10.7% in group C, p = 0.001), especially in the distal small bowel (11.4 ± 13.6% in group A, 20.7 ± 18.7% in group B, and 29.5 ± 16.4% in group C, p < 0.001). The proportion of patients with adequate SBVQ in group A was significantly (p < 0.001) higher (30/40, 75.0%) than that in group B (17/27, 63.0%) or group C (5/23, 21.7%). In multivariate analysis, group A was associated with an increased likelihood of adequate SBVQ compared with group C (odds ratio [OR]: 13.05; 95% confidence interval [CI]: 3.53-48.30, p < 0.001). Completing PEG ingestion within 6 h prior to SBCE could enhance small bowel visibility.

Patients with obscure gastrointestinal bleeding undergo small bowel capsule endoscopy (SBCE), but often return for recurrent bleeding or anemia. The RHEMITT score evaluates patients based on 7 variables (heart failure, chronic kidney disease, Saurin P1/P2 lesions, major bleeding, incomplete SBCE, smoking status, and endoscopic treatment) and seeks to predict the risk of rebleeding.

This study aims to perform an external validation of the RHEMITT score in the United States.

SBCEs performed to evaluate anemia or GI bleeding from a tertiary-care center's PillCam database between 1/22/2018 and 7/21/2020 were reviewed. Variables based on the RHEMITT score were collected. The primary outcome was rebleeding, defined as (1) melena or hematochezia or (2) hemoglobin drop of 2 g/dL. Patient were categorized into low, intermediate, and high-risk categories based on RHEMITT score. The accuracy of the RHEMITT score for predicting rebleeding was assessed.

A total of 361 SBCEs were included in the study. Age, indication for SBCE, endoscopic treatment, antiplatelet use, cirrhosis, heart failure, chronic kidney disease, and major bleeding were significantly associated with risk of rebleed (p < 0.05). Each increasing risk category for the RHEMITT score predicted increased probability of this study's primary outcome, rebleeding (p < 0.001). There was a significant association between RHEMITT risk category and rebleeding-free survival (log-rank p < 0.001). An area under the receiver operating characteristic curve for the RHEMITT score was 0.790 (p < 0.001).

Our findings validate the RHEMITT score and confirm acceptable performance for predicting rebleeding at a tertiary referral center in the United States.

Enteroscopy plays an important role in the management of small bowel bleeding. However, current guidelines are not specifically designed for small bowel bleeding and recommendations from different international societies do not always align. Consequently, there is heterogeneity in the definitions of clinical entities, clinical practice policies, and adherence to guidelines among clinicians. This represents an obstacle to providing the best patient care and to obtain homogeneous data for clinical research.

The aims of the study were to establish a consensus on the definitions of bleeding entities and on the role of enteroscopy in the management of small bowel bleeding using a Delphi process.

A core group of eight experts in enteroscopy identified five main topics of small bowel bleeding management and drafted statements on each topic. An expert panel of nine gastroenterologists participated in three rounds of the Delphi process, together with the core group.

A total of 33 statements were approved after three rounds of Delphi voting.

This Delphi consensus proposes clear definitions and a unifying strategy to standardize the management of small bowel bleeding. Furthermore, it provides a useful guide in daily practice for both clinical and technical issues of enteroscopy.

The incidence of rebleeding in obscure GI bleeding (OGIB) remains unclear. This study used capsule endoscopy (CE) to determine the long-term rebleeding rate and predictive factors for rebleeding in patients with OGIB.

This single-center, observational study enrolled consecutive patients with OGIB who underwent CE as the first small intestinal examination between March 2004 and December 2015 and were followed up through medical records or letters.

Three hundred eighty-nine patients were included in the analysis. Survival curve analysis showed that the overall cumulative rebleeding rate in OGIB during the 5 years was 41.7%. Multivariate analysis using the Cox proportional hazards model revealed that overt OGIB (hazard ratio [HR], 2.017; 95% confidence interval [CI], 1.299-3.131; P = .002), anticoagulants (HR, 1.930; 95% CI, 1.093-3.410; P = .023), positive balloon-assisted enteroscopy findings after CE (HR, 2.927; 95% CI, 1.791-4.783; P < .001), and iron supplements without therapeutic intervention (HR, 2.202; 95% CI, 1.386-3.498; P = .001) were associated with rebleeding, whereas a higher minimum hemoglobin level (HR, .902; 95% CI, .834-.975; P = .009) and therapeutic intervention (HR, .288; 95% CI, .145-.570; P < .001) significantly reduced the risk of rebleeding. Among the Charlson Comorbidity Index components, liver cirrhosis was an independent predictor associated with rebleeding in patients with OGIB (HR, 4.362; 95% CI, 2.622-7.259; P < .001) and in patients with negative CE findings (HR, 8.961; 95% CI, 4.424-18.150; P < .001).

Rebleeding is common during the long-term follow-up of patients with OGIB. Careful follow-up is required for patients with liver cirrhosis or previous massive bleeding.