BASIC (BLI Adenoma Serrated International Classification) classification for colorectal polyp characterization with blue light imaging

Endoscopy ◽  
2017 ◽  
Vol 50 (03) ◽  
pp. 211-220 ◽  
Author(s):  
Raf Bisschops ◽  
Cesare Hassan ◽  
Pradeep Bhandari ◽  
Emmanuel Coron ◽  
Helmut Neumann ◽  
...  
Keyword(s):  
Blue Light ◽  
Interobserver Agreement ◽  
Colorectal Polyp ◽  
High Definition ◽  
Still Images ◽  
Heterogeneous Distribution ◽  
Modified Delphi ◽  
Optical Magnification ◽  
High Concordance ◽  
Video Library

Abstract Background and study aim Advanced endoscopic imaging has revolutionized the characterization of lesions during colonoscopy. The aim of this study was to create a new classification for differentiating subcentimetric hyperplastic and adenomatous polyps, and deeply invasive malignant lesions using blue-light imaging (BLI) with high definition, with and without optical magnification, as well as to assess its interobserver concordance. Methods A video library consisting of 48 videos/still images (with/without optical magnification) from 24 histologically verified polyps/cancer with BLI was prospectively created. In the first step, seven endoscopists with experience in electronic chromoendoscopy reviewed 12 BLI videos/still images with/without magnification representative of the different histotypes, and individually identified possible descriptors. In the second step, these descriptors were categorized and summarized with a modified Delphi methodology. In the third step, the seven endoscopists independently reviewed the remaining 36 videos/still images with/without optical magnification, and the interobserver agreement for the new descriptors was assessed. The interobserver agreement between endoscopists was assessed using Gwet’s AC1. Results By reviewing the initial 12 videos/still images, 43 descriptors were proposed. By a modified Delphi process, the endoscopists eventually agreed on summarizing 12 descriptors into three main domains. The main domains identified were: polyp surface (mucus, yes/no; regular/irregular; [pseudo]depressed, yes/no), pit appearance (featureless, yes/no; round/nonround with/without dark spots; homogeneous/heterogeneous distribution with/without focal loss), and vessels (present/absent, lacy, pericryptal, irregular). Interobserver agreement for the polyp surface domain appeared to be almost perfect for mucus (AC1 0.92 with and 0.88 without optical magnification), substantial for the regular/irregular surface (AC1 0.67 with and 0.66 without optical magnification). For the pit appearance domain, interobserver agreement was good for featureless (AC1 0.9 with and 0.8 without optical magnification), and round/nonround (AC1 0.77 with and 0.69 without optical magnification) descriptors, but less consistent for the homogeneity of distribution (AC1 with/without optical magnification 0.58). Agreement was almost perfect for the vessel domain (AC1 0.81 – 0.85). Conclusions The new BASIC classification takes into account both morphological features of the polyp, as well as crypt and vessel characteristics. A high concordance among the observers was shown for most of the summarized descriptors. Optical magnification had a beneficial effect in terms of interobserver agreement for most of the descriptors.

scholarly journals Predictive rules for optical diagnosis of < 10-mm colorectal polyps based on a dedicated software

Endoscopy ◽  
2019 ◽  
Vol 52 (01) ◽  
pp. 52-60 ◽  
Author(s):  
Cesare Hassan ◽  
Raf Bisschops ◽  
Pradeep Bhandari ◽  
Emmanuel Coron ◽  
Helmut Neumann ◽  
...  
Keyword(s):  
Area Under The Curve ◽  
Colorectal Polyp ◽  
Colorectal Polyps ◽  
Hyperplastic Polyps ◽  
High Confidence ◽  
Still Images ◽  
The Individual ◽  
Video Library ◽  
Leave One Out

Abstract Background The BASIC classification for predicting in vivo colorectal polyp histology incorporates both surface and pit/vessel descriptor domains. This study aimed to define new BASIC classes for adenomatous and hyperplastic polyps. Methods A video library (102 still images/videos of < 10-mm polyps using white-light [WLI] and blue-light imaging [BLI]) was reviewed by seven expert endoscopists. Polyps were rated according to the individual descriptors of the three BASIC domains (surface/pit/vessel). A model to predict polyp histology (adenomatous or hyperplastic) was developed using multivariable logistic regression and subsequent “leave-one-out” cross-validation. New BASIC rules were then defined by Delphi agreement. The overall accuracy of these rules when used by experts was evaluated according to the level of confidence and light type. Results The strength of prediction for adenomatous histology from 2175 observations assessed by area under the curve (AUC; 95 % confidence interval) was poor-to-fair for the surface descriptors (0.50 [0.33 – 0.69] for mucus; 0.68 [0.57 – 0.79] for irregular surface), but stronger for pits (0.87 [0.80 – 0.96] for featureless/round/not round) and vessels (0.80 [0.65 – 0.87] for not present/lacy/pericryptal). By combining the domains, a good-to-excellent prediction was shown (AUC 0.89 [0.81 – 0.96]). After the definition of new BASIC rules for adenomatous and hyperplastic polyps, accuracy for high confidence BLI predictions was 90.3 % (86.3 % – 93.2 %), which was superior to high confidence WLI (83.7 % [77.3 % – 87.7 %]) and low confidence BLI predictions (77.7 % [61.1 % – 88.6 %]). Conclusions Based on the strength of prediction, the new BASIC classes for adenomatous and hyperplastic histology show favorable results for accuracy and confidence levels.

scholarly journals Utility of the narrow-band imaging international colorectal endoscopic classification for optical diagnosis of colorectal polyp histology in clinical practice: a retrospective study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yasuhiko Hamada ◽  
Kyosuke Tanaka ◽  
Masaki Katsurahara ◽  
Noriyuki Horiki ◽  
Reiko Yamada ◽  
...  
Keyword(s):  
Narrow Band ◽  
Narrow Band Imaging ◽  
Colorectal Polyp ◽  
Colorectal Polyps ◽  
Optical Diagnosis ◽  
High Definition ◽  
Clinical Tool ◽  
Optical Magnification ◽  
High Level ◽  
Sensitivity Specificity

Abstract Background Narrow-band imaging (NBI) highlights the surface structures and vessels of colorectal polyps and is useful for determining the polyp histology. The narrow-band imaging international colorectal endoscopic (NICE) classification is a diagnostic tool for determining colorectal polyp histology based on NBI without optical magnification. In this study, we aimed to investigate the value of each type of the NICE classification for determining colorectal polyp histology using endoscopy data accumulated in a clinical setting. Methods Endoscopy data for 534 colorectal polyps (316 patients) treated at our facility were retrospectively analyzed. First, we investigated the diagnostic performance of each type of the NICE classification for the optical diagnosis of colorectal polyp histology. The procedures were performed by experienced endoscopists using high-definition colonoscopy without optical magnification. Second, inter-observer and intra-observer agreements were assessed after providing experts and non-experts with a short lecture on the NICE classification. Using 50 fine NBI images of colorectal polyps without optical magnification, the inter-observer and intra-observer agreements between five experts and five non-experts were assessed. Results The sensitivity, specificity, and accuracy values were 86.0%, 99.6%, and 98.5% for NICE type 1 lesions; 99.2%, 85.2%, and 97.8% for NICE type 2 lesions; and 81.8%, 99.6%, and 99.3% for NICE type 3 lesions, respectively. The inter-observer and intra-observer agreements ranged from substantial to excellent for both experts and non-experts. Conclusions The NICE classification had good diagnostic ability in terms of determining the polyp histology and demonstrated a high level of reproducibility among experts and non-experts. Thus, the NICE classification is a useful clinical tool that can be used without optical magnification.

scholarly journals Algorithm combining virtual chromoendoscopy features for colorectal polyp classification

2021 ◽  
Vol 09 (10) ◽  
pp. E1497-E1503
Author(s):  
Ramon-Michel Schreuder ◽  
Qurine E.W. van der Zander ◽  
Roger Fonollà ◽  
Lennard P.L. Gilissen ◽  
Arnold Stronkhorst ◽  
...  
Keyword(s):  
Predictive Value ◽  
Gold Standard ◽  
Network Architecture ◽  
Colorectal Polyp ◽  
Colorectal Polyps ◽  
Training Dataset ◽  
High Definition ◽  
Still Images ◽  
Novel Approach ◽  
Incidence And Mortality

Abstract Background and study aims Colonoscopy is considered the gold standard for decreasing colorectal cancer incidence and mortality. Optical diagnosis of colorectal polyps (CRPs) is an ongoing challenge in clinical colonoscopy and its accuracy among endoscopists varies widely. Computer-aided diagnosis (CAD) for CRP characterization may help to improve this accuracy. In this study, we investigated the diagnostic accuracy of a novel algorithm for polyp malignancy classification by exploiting the complementary information revealed by three specific modalities. Methods We developed a CAD algorithm for CRP characterization based on high-definition, non-magnified white light (HDWL), Blue light imaging (BLI) and linked color imaging (LCI) still images from routine exams. All CRPs were collected prospectively and classified into benign or premalignant using histopathology as gold standard. Images and data were used to train the CAD algorithm using triplet network architecture. Our training dataset was validated using a threefold cross validation. Results In total 609 colonoscopy images of 203 CRPs of 154 consecutive patients were collected. A total of 174 CRPs were found to be premalignant and 29 were benign. Combining the triplet network features with all three image enhancement modalities resulted in an accuracy of 90.6 %, 89.7 % sensitivity, 96.6 % specificity, a positive predictive value of 99.4 %, and a negative predictive value of 60.9 % for CRP malignancy classification. The classification time for our CAD algorithm was approximately 90 ms per image. Conclusions Our novel approach and algorithm for CRP classification differentiates accurately between benign and premalignant polyps in non-magnified endoscopic images. This is the first algorithm combining three optical modalities (HDWL/BLI/LCI) exploiting the triplet network approach.

Blue-light imaging compared with high-definition white light for real-time histology prediction of colorectal polyps less than 1 centimeter: a prospective randomized study

2019 ◽  
Vol 89 (3) ◽  
pp. 554-564.e1 ◽  
Author(s):  
Emanuele Rondonotti ◽  
Silvia Paggi ◽  
Arnaldo Amato ◽  
Giuseppe Mogavero ◽  
Alida Andrealli ◽  
...  
Keyword(s):  
Real Time ◽  
Blue Light ◽  
White Light ◽  
Randomized Study ◽  
Colorectal Polyps ◽  
Prospective Randomized Study ◽  
High Definition

Sa1569 Prediction of Colorectal Polyp Pathologic Lesions With High Definition and Virtual Chromoendoscopy With I-SCAN® 2 in Real Time; a Prospective Study

2015 ◽  
Vol 81 (5) ◽  
pp. AB265
Author(s):  
Miguel A. Ramírez-Ramírez ◽  
Luis A. Mejía Cuan ◽  
Claudia Martinez ◽  
Yolanda Zamorano-Orozco ◽  
Sinuhé Cisneros Vieyra
Keyword(s):  
Prospective Study ◽  
Real Time ◽  
Colorectal Polyp ◽  
High Definition ◽  
Pathologic Lesions ◽  
Virtual Chromoendoscopy ◽  
A Prospective Study

scholarly journals Seabed video and still images from the northern Weddell Sea and the western flanks of the Powell Basin

2021 ◽  
Vol 13 (2) ◽  
pp. 609-615
Author(s):  
Autun Purser ◽  
Simon Dreutter ◽  
Huw Griffiths ◽  
Laura Hehemann ◽  
Kerstin Jerosch ◽  
...  
Keyword(s):  
Digital Camera ◽  
Weddell Sea ◽  
Video Data ◽  
High Definition ◽  
Short Baseline ◽  
Still Images ◽  
Still Image ◽  
Topographic Complexity ◽  
Camera Systems ◽  
Quality Video

Abstract. Research vessels equipped with fibre optic and copper-cored coaxial cables support the live onboard inspection of high-bandwidth marine data in real time. This allows for towed still-image and video sleds to be equipped with latest-generation higher-resolution digital camera systems and additional sensors. During RV Polarstern expedition PS118 in February–April 2019, the recently developed Ocean Floor Observation and Bathymetry System (OFOBS) of the Alfred Wegener Institute was used to collect still-image and video data from the seafloor at a total of 11 predominantly ice-covered locations in the northern Weddell Sea and Powell Basin. Still images of 26-megapixel resolution and HD (high-definition) quality video data were recorded throughout each deployment. In addition to downward-facing video and still-image cameras, the OFOBS also mounted side-scanning and forward-facing acoustic systems, which facilitated safe deployment in areas of high topographic complexity, such as above the steep flanks of the Powell Basin and the rapidly shallowing, iceberg-scoured Nachtigaller Shoal. To localise collected data, the OFOBS system was equipped with a Posidonia transponder for ultra-short baseline triangulation of OFOBS positions. All images are available from: https://doi.org/10.1594/PANGAEA.911904 (Purser et al., 2020).

scholarly journals Video clips compared with high-definition still images for characterization of colorectal neoplastic lesions: a randomized comparative prospective study

2021 ◽  
Vol 09 (08) ◽  
pp. E1255-E1263
Author(s):  
Mathieu Pioche ◽  
Jérémie Jacques ◽  
Lucile Héroin ◽  
Jérôme Rivory ◽  
Thierry Ponchon ◽  
...  
Keyword(s):  
High Risk ◽  
Video Clip ◽  
Lesion Size ◽  
High Definition ◽  
Invasive Adenocarcinoma ◽  
Still Images ◽  
Video Clips ◽  
Significant Difference ◽  
Neoplastic Lesions

Abstract Background and study aims Accurate real-time characterization of colorectal neoplastic lesions (CNLs) during colonoscopy is important for deciding appropriate treatment. No studies have evaluated whether still images or video clips are better for characterization. We compared histological predictions and size estimations of CNLs between two groups of gastroenterologists: one viewing still images and the other viewing video clips. Materials and methods Participants were shown 20 CNLs as either 3–5 still images or a video clip. Three endoscopy experts obtained the images using high-definition white light and virtual chromoendoscopy without magnification. Stratified randomization was performed according to experience. For each lesion, participants assessed the size and histological subtype according to the CONECCT classification (hyperplastic polyp [IH], sessile serrated lesion [IS], adenoma [IIA], high-risk adenoma or superficial adenocarcinoma [IIC], or deeply invasive adenocarcinoma [III]). The correct histological status and size were defined by the pathology reports or combined criteria between histology and expert opinion for high-risk adenoma or superficial adenocarcinoma (CONECCT IIC). Results 332 participants were randomized and 233 performed the characterization. Participants comprised 118 residents, 75 gastroenterologists, and 40 endoscopy experts; 47.6 % were shown still images and 52.4 % viewed video clips. There was no statistically significant difference between the two groups in histological prediction, our primary end point. However, the lesion size was better assessed using still images than video clips (P = 0.03). Conclusions Video clips did not improve the histological prediction of CNLs compared with still images. Size was better assessed using still images.

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