Small-bowel capsule endoscopy with panoramic view: results of the first multicenter, observational study (with videos).

BACKGROUND AND AIMS: The first small-bowel video-capsule endoscopy (VCE) with 360° panoramic view has been recently developed. This new capsule has a wire-free technology, 4 high frame-rate cameras, and a long-lasting battery life. The present study was aimed at assessing performances and the safety profile of the 360° panoramic-view capsule in a large series of patients from a multicenter clinical practice setting. METHODS: Consecutive patients undergoing a 360° panoramic-view capsule procedure in 7 European Institutions between January 2011 and November 2015 were included. Both technical (ie, technical failures, completion rate) and clinical (ie, indication, findings, retention rate) data were collected by means of a structured questionnaire. VCE findings were classified according to the likelihood to explain reason for referral: P0-low, P1-intermediate and P2-high. RESULTS: Among 172 patients (94 men; median age: 68 years, IQR: 53-75), 142 underwent VCE for obscure (32 overt, 110 occult) GI bleeding (OGIB) and 28 for suspected (17) or established (2) Crohn's disease (CD). Overall, 560 findings were detected; 252 of them were P2. The overall diagnostic yield was 40.1%; 42.2% and 30.0% in patients with OGIB and CD, respectively. The rate of complete enteroscopy was 90.2%. All of the patients but one, who experienced capsule retention (1/172: 0.6%), excreted and retrieved the capsule. VCE failure occurred in 4 of 172 (2.3%) cases for technical problems. CONCLUSION: The present multicenter study, conducted in clinical practice setting and based on a large consecutive series of patients, showed that DY and safety profile of 360° panoramic-view capsule are similar to those of forward-view VCEs

KID Project:an internet-based digital video atlas of capsule endoscopy for research purposes

BACKGROUND AND AIMS: Capsule endoscopy (CE) has revolutionized small-bowel (SB) investigation. Computational methods can enhance diagnostic yield (DY); however, incorporating machine learning algorithms (MLAs) into CE reading is difficult as large amounts of image annotations are required for training. Current databases lack graphic annotations of pathologies and cannot be used. A novel database, KID, aims to provide a reference for research and development of medical decision support systems (MDSS) for CE. METHODS: Open-source software was used for the KID database. Clinicians contribute anonymized, annotated CE images and videos. Graphic annotations are supported by an open-access annotation tool (Ratsnake). We detail an experiment based on the KID database, examining differences in SB lesion measurement between human readers and a MLA. The Jaccard Index (JI) was used to evaluate similarity between annotations by the MLA and human readers. RESULTS: The MLA performed best in measuring lymphangiectasias with a JI of 81\u200a\ub1\u200a6\u200a%. The other lesion types were: angioectasias (JI 64\u200a\ub1\u200a11\u200a%), aphthae (JI 64\u200a\ub1\u200a8\u200a%), chylous cysts (JI 70\u200a\ub1\u200a14\u200a%), polypoid lesions (JI 75\u200a\ub1\u200a21\u200a%), and ulcers (JI 56\u200a\ub1\u200a9\u200a%). CONCLUSION: MLA can perform as well as human readers in the measurement of SB angioectasias in white light (WL). Automated lesion measurement is therefore feasible. KID is currently the only open-source CE database developed specifically to aid development of MDSS. Our experiment demonstrates this potential

I-scan optical enhancement for the in vivo prediction of diminutive colorectal polyp histology:results from a prospective three-phased multicentre trial

BACKGROUND AND AIMS:Dye-less chromoendoscopy is an emerging technology for colorectal polyp characterization. Herein, we investigated whether the newly introduced I-scan optical enhancement (OE) can accurately predict polyp histology in vivo in real-time. METHODS:In this prospective three-phased study, 84 patients with 230 diminutive colorectal polyps were included. During the first two study phases, five endoscopists assessed whether analysis of polyp colour, surface and vascular pattern under i-scan OE can differentiate in vivo between adenomatous and hyperplastic polyps. Finally, junior and experienced endoscopists (JE, EE, each n = 4) not involved in the prior study phases made a post hoc diagnosis of polyp histology using a static i-scan OE image database. Histopathology was used as a gold-standard in all study phases. RESULTS:The overall accuracy of i-scan OE for histology prediction was 90% with a sensitivity, specificity, positive (PPV) and negative prediction value (NPV) of 91%, 90%, 86% and 94%, respectively. In high confidence predictions, the diagnostic accuracy increased to 93% with sensitivity, specificity, PPV and NPV of 94%, 91%, 89% and 96%. Colonoscopy surveillance intervals were predicted correctly in ≥ 90% of patients. In the post hoc analysis EE predicted polyp histology under i-scan OE with an overall accuracy of 91%. After a single training session, JE achieved a comparable diagnostic performance for predicting polyp histology with i-scan OE. CONCLUSION:The histology of diminutive colorectal polyps can be accurately predicted with i-scan OE in vivo in real-time. Furthermore, polyp differentiation with i-scan OE appears to require only a short learning curve

High-definition endoscopy with digital chromoendoscopy for histologic prediction of distal colorectal polyps

Background Distal diminutive colorectal polyps are common and accurate endoscopic prediction of hyperplastic or adenomatous polyp histology could reduce procedural time, costs and potential risks associated with the resection. Within this study we assessed whether digital chromoendoscopy can accurately predict the histology of distal diminutive colorectal polyps according to the ASGE PIVI statement. Methods In this prospective cohort study, 224 consecutive patients undergoing screening or surveillance colonoscopy were included. Real time histology of 121 diminutive distal colorectal polyps was evaluated using high-definition endoscopy with digital chromoendoscopy and the accuracy of predicting histology with digital chromoendoscopy was assessed. Results The overall accuracy of digital chromoendoscopy for prediction of adenomatous polyp histology was 90.1 %. Sensitivity, specificity, positive and negative predictive values were 93.3, 88.7, 88.7, and 93.2 %, respectively. In high-confidence predictions, the accuracy increased to 96.3 % while sensitivity, specificity, positive and negative predictive values were calculated as 98.1, 94.4, 94.5, and 98.1 %, respectively. Surveillance intervals with digital chromoendoscopy were correctly predicted with >90 % accuracy. Conclusions High-definition endoscopy in combination with digital chromoendoscopy allowed real-time in vivo prediction of distal colorectal polyp histology and is accurate enough to leave distal colorectal polyps in place without resection or to resect and discard them without pathologic assessment. This approach has the potential to reduce costs and risks associated with the redundant removal of diminutive colorectal polyps

Patient recruitment and study phases.

<p>(A) Patient and polyp characteristics, SSA = sessile serrated adenoma (B) Exemplification of the study phases.</p