Clinical Endoscopy

Original Article

Clinicopathological and endoscopic features of Helicobacter pylori infection-negative gastric cancer in Japan: a retrospective study: Kentaro Imamura, Kenshi Yao, Satoshi Nimura, Takao Kanemitsu, Masaki Miyaoka, Yoichiro Ono, Toshiharu Ueki, Hiroshi Tanabe; Clin Endosc 2024;57(4):486-494. Published online March 22, 2024; DOI: https://doi.org/10.5946/ce.2023.258

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Background
/Aims: Helicobacter pylori infection-negative gastric cancer (HPNGC) has not been systematically investigated in consecutive patients. Hence, this study aimed to investigate the clinicopathological and endoscopic features of HPNGC.
Methods
This single-center retrospective study selected participants from patients with gastric cancer who were treated at the Fukuoka University Chikushi Hospital between January 2013 and December 2021. Only patients diagnosed with HPNGC were enrolled, and their clinicopathological and endoscopic features were analyzed in detail.
Results
The prevalence of HPNGC in the present study was 2.6% (54/2112). The types of HPNGC observed in each gastric region were as follows: advanced gastric cancer was observed in the cardia; gastric adenocarcinoma of fundic-gland differentiation, gastric adenocarcinoma of foveolar-type presenting with whitish elevation and raspberry-like foveolar-type gastric adenocarcinoma, gastric adenocarcinoma arising in polyposis, and gastric adenocarcinoma with autoimmune gastritis were observed in the fundic gland region ranging from the gastric fornix to the gastric body; signet-ring cell carcinoma was observed in the gastric-pyloric transition region ranging from the lower gastric body to the gastric angle; and well-differentiated tubular adenocarcinoma with low-grade atypia was observed in the antrum.
Conclusions
This study revealed that tumors from each gastric region exhibited distinct macroscopic and histological types in HPNGC.

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Is your endoscopist qualified enough to detect Helicobacter pylori-naive status?
Sun-Young Lee
Clinical Endoscopy.2024; 57(4): 466. CrossRef

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Review

Application of artificial intelligence for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging: Yusuke Horiuchi, Toshiaki Hirasawa, Junko Fujisaki; Clin Endosc 2024;57(1):11-17. Published online January 5, 2024; DOI: https://doi.org/10.5946/ce.2023.173

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Although magnifying endoscopy with narrow-band imaging is the standard diagnostic test for gastric cancer, diagnosing gastric cancer using this technology requires considerable skill. Artificial intelligence has superior image recognition, and its usefulness in endoscopic image diagnosis has been reported in many cases. The diagnostic performance (accuracy, sensitivity, and specificity) of artificial intelligence using magnifying endoscopy with narrow band still images and videos for gastric cancer was higher than that of expert endoscopists, suggesting the usefulness of artificial intelligence in diagnosing gastric cancer. Histological diagnosis of gastric cancer using artificial intelligence is also promising. However, previous studies on the use of artificial intelligence to diagnose gastric cancer were small-scale; thus, large-scale studies are necessary to examine whether a high diagnostic performance can be achieved. In addition, the diagnosis of gastric cancer using artificial intelligence has not yet become widespread in clinical practice, and further research is necessary. Therefore, in the future, artificial intelligence must be further developed as an instrument, and its diagnostic performance is expected to improve with the accumulation of numerous cases nationwide.

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Pitfalls in Endoscopic Submucosal Dissection for Early Gastric Cancer with Papillary Adenocarcinoma
Gwang Ha Kim
Gut and Liver.2024; 18(3): 368. CrossRef

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Original Article

Artificial Intelligence-Based Colorectal Polyp Histology Prediction by Using Narrow-Band Image-Magnifying Colonoscopy: Istvan Racz, Andras Horvath, Noemi Kranitz, Gyongyi Kiss, Henriett Regoczi, Zoltan Horvath; Clin Endosc 2022;55(1):113-121. Published online September 23, 2021; DOI: https://doi.org/10.5946/ce.2021.149

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Background
/Aims: We have been developing artificial intelligence based polyp histology prediction (AIPHP) method to classify Narrow Band Imaging (NBI) magnifying colonoscopy images to predict the hyperplastic or neoplastic histology of polyps. Our aim was to analyze the accuracy of AIPHP and narrow-band imaging international colorectal endoscopic (NICE) classification based histology predictions and also to compare the results of the two methods.
Methods
We studied 373 colorectal polyp samples taken by polypectomy from 279 patients. The documented NBI still images were analyzed by the AIPHP method and by the NICE classification parallel. The AIPHP software was created by machine learning method. The software measures five geometrical and color features on the endoscopic image.
Results
The accuracy of AIPHP was 86.6% (323/373) in total of polyps. We compared the AIPHP accuracy results for diminutive and non-diminutive polyps (82.1% vs. 92.2%; p=0.0032). The accuracy of the hyperplastic histology prediction was significantly better by NICE compared to AIPHP method both in the diminutive polyps (n=207) (95.2% vs. 82.1%) (p<0.001) and also in all evaluated polyps (n=373) (97.1% vs. 86.6%) (p<0.001)
Conclusions
Our artificial intelligence based polyp histology prediction software could predict histology with high accuracy only in the large size polyp subgroup.

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Colon polyps: updates in classification and management
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Employing deep learning for predicting the thermal properties of water and nano-encapsulated phase change material
Saihua Xu, Ali Basem, Hasan A Al-Asadi, Rishabh Chaturvedi, Gulrux Daminova, Yasser Fouad, Dheyaa J Jasim, Javid Alhoee
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AI-powered medical devices for practical clinicians including the diagnosis of colorectal polyps
Donghwan Kim, Eunsun Kim
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Artificial Intelligence-Based Colorectal Polyp Histology Prediction: High Accuracy in Larger Polyps
Naoki Muguruma, Tetsuji Takayama
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Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice
Ji Young Chang
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Response to Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice
Istvan Racz, Andras Horvath, Zoltán Horvath
Clinical Endoscopy.2022; 55(5): 701. CrossRef

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Focused Review Series: Image-Enhanced Endoscopy: Update on Clinical Practice

Current Status of Image-Enhanced Endoscopy for Early Identification of Esophageal Neoplasms: Shin Hee Kim, Su Jin Hong; Clin Endosc 2021;54(4):464-476. Published online July 26, 2021; DOI: https://doi.org/10.5946/ce.2021.186

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Advanced esophageal cancer is known to have a poor prognosis. The early detection of esophageal neoplasms, including esophageal dysplasia and early esophageal cancer, is highly important for the accurate treatment of the disease. However, esophageal dysplasia and early esophageal cancer are usually subtle and can be easily missed. In addition to the early detection, proper pretreatment evaluation of the depth of invasion of esophageal cancer is very important for curative treatment. The progression of non-invasive diagnosis via image-enhanced endoscopy techniques has been shown to aid the early detection and estimate the depth of invasion of early esophageal cancer and, as a result, may provide additional opportunities for curative treatment. Here, we review the advancement of image-enhanced endoscopy-related technologies and their role in the early identification of esophageal neoplasms.

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Magnifying Endoscopy with Narrow-Band Imaging for Duodenal Neuroendocrine Tumors
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Sang Pyo Lee
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Original Articles

Comparative Study of Narrow-Band Imaging and i-scan for Predicting the Histology of Intermediate-to-Large Colorectal Polyps: A Prospective, Randomized Pilot Study: Joon Seop Lee, Seong Woo Jeon, Yong Hwan Kwon; Clin Endosc 2021;54(6):881-887. Published online January 6, 2021; DOI: https://doi.org/10.5946/ce.2020.257

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Background
/Aims: To date, no reports have compared the diagnostic efficacy of narrow-band imaging (NBI) and i-scan for the histologic prediction of intermediate-to-large colorectal polyps. We aimed to compare the diagnostic accuracy of NBI and i-scan in predicting histology, and their inter-/intra-observer agreement.
Methods
We performed a prospective, randomized study that included 66 patients (NBI, n=33 vs. i-scan, n=33) with colorectal polyps (size >10 mm but <50 mm) who underwent colonoscopic resection. During the procedure, three endoscopists documented their prediction using the Japan NBI Expert Team (JNET) classification. Two months after study completion, the endoscopists reviewed still images and video clips for analysis.
Results
The overall diagnostic accuracies in the NBI and i-scan groups were 73.7% (73/99) and 75.8% (75/99), respectively, and there was no statistical significance between the two groups (p=0.744). The JNET classification as applied to NBI and i-scan showed substantial inter-observer agreement (NBI κ-value 0.612, p=0.001 vs. i-scan κ-value 0.662, p=0.002). Additionally, the κ-values of intra-observer agreement were in the range of 0.385–0.660 with NBI and 0.364–0.741 with i-scan.
Conclusions
NBI and i-scan have similar diagnostic accuracies for the histologic prediction of intermediate-to-large colorectal polyps. Furthermore, the inter-/intra-observer agreement was acceptable for both modalities when the JNET classification was applied.

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Ultra-minimally invasive endoscopic techniques and colorectal diseases: Current status and its future
Nalini Kanta Ghosh, Ashok Kumar
Artificial Intelligence in Gastrointestinal Endoscopy.2024;[Epub] CrossRef
The Utility of Narrow-Band Imaging International Colorectal Endoscopic Classification in Predicting the Histologies of Diminutive Colorectal Polyps Using I-Scan Optical Enhancement: A Prospective Study
Yeo Wool Kang, Jong Hoon Lee, Jong Yoon Lee
Diagnostics.2023; 13(16): 2720. CrossRef
Detecting colorectal lesions with image-enhanced endoscopy: an updated review from clinical trials
Mizuki Nagai, Sho Suzuki, Yohei Minato, Fumiaki Ishibashi, Kentaro Mochida, Ken Ohata, Tetsuo Morishita
Clinical Endoscopy.2023; 56(5): 553. CrossRef
Classification and endoscopic diagnosis of colorectal polyps
Ji Hyun Kim, Sung Chul Park
Journal of the Korean Medical Association.2023; 66(11): 633. CrossRef
Usefulness of optical enhancement endoscopy combined with magnification to improve detection of intestinal metaplasia in the stomach
Sergio Sobrino-Cossío, Oscar Teramoto-Matsubara, Fabian Emura, Raúl Araya, Vítor Arantes, Elymir S. Galvis-García, Marisi Meza-Caballero, Blanca Sinahi García-Aguilar, Arturo Reding-Bernal, Noriya Uedo
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Aasma Shaukat, Anne Tuskey, Vijaya L. Rao, Jason A. Dominitz, M. Hassan Murad, Rajesh N. Keswani, Fateh Bazerbachi, Lukejohn W. Day
Gastrointestinal Endoscopy.2022; 96(2): 171. CrossRef
A modified fujinon intelligent color enhancement (FICE) in the diagnostics of superficial epithelial neoplasms of the colon
V. A. Duvanskiy, A. V. Belkov
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Mucosal imaging in colon polyps: New advances and what the future may hold
Edward John Young, Arvinf Rajandran, Hamish Lachlan Philpott, Dharshan Sathananthan, Sophie Fenella Hoile, Rajvinder Singh
World Journal of Gastroenterology.2022; 28(47): 6632. CrossRef
Commentary on “Comparative Study of Narrow-Band Imaging and i-scan for Predicting the Histology of Intermediate-to-Large Colorectal Polyps: A Prospective, Randomized Pilot Study”
Yunho Jung, Masayuki Kato
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Histological Architecture of Gastric Epithelial Neoplasias That Showed Absent Microsurface Patterns, Visualized by Magnifying Endoscopy with Narrow-Band Imaging: Kenta Chuman, Kenshi Yao, Takao Kanemitsu, Takashi Nagahama, Masaki Miyaoka, Haruhiko Takahashi, Kentaro Imamura, Rino Hasegawa, Toshiharu Ueki, Hiroshi Tanabe, Seiji Haraoka, Akinori Iwashita; Clin Endosc 2021;54(2):222-228. Published online November 24, 2020; DOI: https://doi.org/10.5946/ce.2020.090

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Background
/Aims: The objective of this study was to elucidate the histological structure of the absent microsurface patterns (MSPs) that were visualized by magnifying endoscopy with narrow-band imaging (M-NBI).
Methods
The study included consecutive gastric epithelial neoplasias for which M-NBI findings and histological findings could be compared on a one-to-one basis. The lesions were classified as absent MSPs and present MSPs based on the findings obtained using M-NBI. Of the histopathological findings for each lesion that corresponded to M-NBI findings, crypt opening densities, crypt lengths, crypt opening diameters, intercrypt distances, and crypt angles were measured and compared.
Results
Thirty-six lesions were included in the analysis; of these, 17 lesions exhibited absent MSP and 19 lesions exhibited present MSP. Comparing the histological measurements for absent MSPs vs. present MSPs, median crypt opening density was 0.9 crypt openings/mm vs. 4.8 crypt openings/mm (p<0.001), respectively. The median crypt length, median crypt opening diameter, median intercrypt distance, and median crypt angle were 80.0 μm vs. 160 μm (p<0.001), 40.0 μm vs. 44.2 μm (p=0.09), 572.5 μm vs. 166.7 μm (p<0.001), and 21.6 degrees vs. 15.5 degrees (p<0.001), respectively.
Conclusions
Histological findings showed that lesions exhibiting absent MSPs had lower crypt opening density, shorter crypt length, greater intercrypt distance, and larger crypt angle.

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The staining results of early gastric cancer by indigo carmine chromoendoscopy associated with histological structure: a retrospective study
Xiaosa Jiang, Lingzhi Qin, Yujie Hao, Qian Yang, Yueqin Zheng, Baicang Zou, Lei Dong, Na Liu, Jinhai Wang, Bin Qin
BMC Cancer.2024;[Epub] CrossRef
Magnifying Endoscopy with Narrow-Band Imaging for Duodenal Neuroendocrine Tumors
Gwang Ha Kim, Kiyoun Yi, Dong Chan Joo, Moon Won Lee, Hye Kyung Jeon, Bong Eun Lee
Journal of Clinical Medicine.2023; 12(9): 3106. CrossRef

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Focused Review Series: Endoscopic Submucosal Dissection for Colorectal Tumors

Estimation of Invasion Depth: The First Key to Successful Colorectal ESD: Bo-In Lee, Takahisa Matsuda; Clin Endosc 2019;52(2):100-106. Published online March 27, 2019; DOI: https://doi.org/10.5946/ce.2019.012

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Colorectal tumors with superficial submucosal invasion, which cannot be removed by snaring, are one of the most optimal indications for colorectal endoscopic submucosal dissection (ESD). Therefore, estimation of the invasion depth is the first key to successful colorectal ESD. Although estimation of the invasion depth based on the gross morphology may be useful in selected cases, its diagnostic accuracy could not reach the clinical requirement. The Japan Narrow-band Imaging (NBI) Expert Team (JNET) classification of NBI magnifying endoscopy findings is a useful method for histologic prediction and invasion depth estimation. However, magnifying chromoendoscopy is still necessary for JNET type 2B lesions to reach a satisfactory diagnostic accuracy. Endocytoscopy with artificial intelligence is a promising technology in invasion depth estimation; however, more data are needed for its clinical application.

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Zixiang Yu, Dongxian Jiang, Wen Huang, Rongkui Luo, Haixing Wang, Jieakesu Su, Jia Liu, Chen Xu, Yingyong Hou
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Mizuki Nagai, Sho Suzuki, Yohei Minato, Fumiaki Ishibashi, Kentaro Mochida, Ken Ohata, Tetsuo Morishita
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Focused Review Series: Current Statuses of Image-Enhanced Endoscopy (IEE)

Role of Image-Enhanced Endoscopy in Pancreatobiliary Diseases: Yun Nah Lee, Jong Ho Moon, Hyun Jong Choi; Clin Endosc 2018;51(6):541-546. Published online November 30, 2018; DOI: https://doi.org/10.5946/ce.2018.203

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Recent advances in cholangiopancreatoscopy technology permit image-enhanced endoscopy (IEE) for pancreatobiliary diseases. There are limitations in endoscopy performance and in the study of the clinical role of IEE in bile duct or pancreatic duct diseases. However, currently available IEEs during cholangiopancreatoscopy including traditional dye-aided chromoendoscopy, autofluorescence imaging, narrow-band imaging, and i-Scan have been evaluated and reported previously. Although the clinical role of IEE in pancreatobiliary diseases should be verified in future studies, IEE is a useful promising tool in the evaluation of bile duct or pancreatic duct mucosal lesions.

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Detecting colorectal lesions with image-enhanced endoscopy: an updated review from clinical trials
Mizuki Nagai, Sho Suzuki, Yohei Minato, Fumiaki Ishibashi, Kentaro Mochida, Ken Ohata, Tetsuo Morishita
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Il Sang Shin, Jong Ho Moon, Yun Nah Lee, Hee Kyung Kim, Tae Hoon Lee, Jae Kook Yang, Sang-Woo Cha, Young Deok Cho, Sang-Heum Park
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Image-Enhanced Endoscopy in Lower Gastrointestinal Diseases: Present and Future: Han Hee Lee, Bo-In Lee; Clin Endosc 2018;51(6):534-540. Published online November 30, 2018; DOI: https://doi.org/10.5946/ce.2018.187

Abstract PDF PubReader ePub

From dye-assisted conventional chromoendoscopy to novel virtual chromoendoscopy, image-enhanced endoscopy (IEE) is continuously evolving to meet clinical needs and improve the quality of colonoscopy. Dye-assisted chromoendoscopy using indigo carmine or crystal violet, although slightly old-fashioned, is still useful to emphasize the pit patterns of the colonic mucosa and predict the histological structures of relevant lesions. Equipment-based virtual chromoendoscopy has the advantage of being relatively easy to use. There are several types of virtual chromoendoscopy that vary depending on the manufacturer and operating principle. IEE plays distinctive roles with respect to histologic characterization of colorectal polyps and prediction of the invasion depth of colorectal cancers. In addition, the newest models of IEE have the potential to increase adenoma and polyp detection rates in screening colonoscopy.

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Original Article

Bimodal Chromoendoscopy with Confocal Laser Endomicroscopy for the Detection of Early Esophageal Squamous Cell Neoplasms: Piyapan Prueksapanich, Thanawat Luangsukrerk, Rapat Pittayanon, Anapat Sanpavat, Rungsun Rerknimitr; Clin Endosc 2019;52(2):144-151. Published online October 5, 2018; DOI: https://doi.org/10.5946/ce.2018.091

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Background
/Aims: This study aimed to evaluate the diagnostic accuracy of dual-focus narrow-band imaging (dNBI) and Lugol’schromoendoscopy (LCE) combined with probe-based confocal laser endomicroscopy (pCLE) to screen for esophageal squamous cell neoplasms (ESCNs) in patients with a history of head and neck cancer.
Methods
From March to August 2016, dNBI was performed. Next, LCE was performed, followed by pCLE and biopsy. Histology has historically been the gold standard to diagnose ESCN. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of dNBI and LCE adjunct with pCLE were determined.
Results
Twenty-four patients were included. Ten ESCNs were found in 8 patients (33%). Forty percent of high-graded intraepithelial neoplasias and all low-grade intraepithelial neoplasias were overlooked by dNBI. The sensitivity, specificity, PPV, NPV, and accuracy of dNBI vs. LCE combined with pCLE were 50% vs. 80%, 62% vs. 67%, 36% vs. 44%, 75% vs. 91%, and 83% vs. 70%, respectively.
Conclusions
The use of dNBI to detect ESCN was suboptimal. LCE with pCLE following dNBI had additional value for detecting esophageal dysplasia not detected by dNBI. The use of pCLE to detect dNBI-missed lesions yielded a high NPV, while pCLE-guided biopsy could reduce the number of unnecessary biopsies.

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Focused Review Series: Image Enhanced Endoscopy

Advanced Imaging Technology in Biliary Tract Diseases:Narrow-Band Imaging of the Bile Duct: Hyun Jong Choi, Jong Ho Moon, Yun Nah Lee; Clin Endosc 2015;48(6):498-502. Published online November 30, 2015; DOI: https://doi.org/10.5946/ce.2015.48.6.498

Abstract PDF PubReader ePub

Newly introduced direct peroral cholangioscopy and the development of video choledochoscopes have enabled more defined observation of bile duct mucosal lesions with clearer images. Narrow-band imaging (NBI) is a unique endoscopic imaging technology that provides enhanced endoscopic images of surface mucosal structures and its superficial microvessels. Advanced cholangioscopy and NBI are expected to be useful for precise evaluation and correct diagnosis of biliary tract diseases. However, the diagnostic value of advanced bile duct imaging with cholangioscopy requires further evaluation.

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The Usefulness of Magnifying Endoscopy and Narrow-Band Imaging in Measuring the Depth of Invasion before Endoscopic Submucosal Dissection: Jae Young Jang; Clin Endosc 2012;45(4):379-385. Published online November 30, 2012; DOI: https://doi.org/10.5946/ce.2012.45.4.379

Abstract PDF PubReader ePub

With the widespread application of endoscopic submucosal dissection for the treatment of gastrointestinal neoplasms, accurate determination of the invasion depth prior to intervention has become an indispensable part of treatment planning. Narrow-band imaging (NBI) is a novel endoscopic technique that may enhance the accuracy of diagnosis. Magnifying endoscopy with NBI has been shown to be effective for determining invasion depth for intrapapillary capillary loop classification of esophageal cancer and microvascular pattern of stomach cancer. Such precise pre-treatment staging of early neoplastic lesions in the gastrointestinal tract warrants timely initiation of disease-tailored treatment and, ultimately, better quality of life and improved patient survival.

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Review

Recent Advances in Image-enhanced Endoscopy: Won Young Cho, Jae Young Jang, Don Haeng Lee, The Endoscopic Technology and Investigation Study Group; Clin Endosc 2011;44(2):65-75. Published online December 31, 2011; DOI: https://doi.org/10.5946/ce.2011.44.2.65

Abstract PDF PubReader ePub

The desire to better recognized such malignancies, which may be difficult to distinguish from inflammation or trauma, has accelerated the development of endoscopy with new optical technologies. Narrow-band imaging is a novel endoscopic technique that may enhance the accuracy of diagnosis using narrow-bandwidth filters in a red-green-blue sequential illumination system. Autofluorescence imaging is based on the detection of natural tissue fluorescence emitted by endogenous molecules. I-scan technology using a digital filter that modifies normal images through software functions, is the newly developed image-enhanced endoscopic technology from PENTAX. Flexible spectral imaging color enhancement enhances the visualization of mucosal structure and microcirculation by the selection of spectral transmittance with a dedicated wavelength. Confocal laser endomicroscopy images were collected with an argon beam with a scanning depth of 0 (epithelium) to 250 µm (lamina propria) and analyzed using the reflected light.

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Original Article

Bimodal Chromoendoscopy with Confocal Laser Endomicroscopy for the Detection of Early Esophageal Squamous Cell Neoplasms: Published online November 30, 1999

Abstract: Background
/Aims: This study aimed to evaluate the diagnostic accuracy of dual-focus narrow-band imaging (dNBI) and Lugol’schromoendoscopy (LCE) combined with probe-based confocal laser endomicroscopy (pCLE) to screen for esophageal squamous cell neoplasms (ESCNs) in patients with a history of head and neck cancer.
Methods
From March to August 2016, dNBI was performed. Next, LCE was performed, followed by pCLE and biopsy. Histology has historically been the gold standard to diagnose ESCN. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of dNBI and LCE adjunct with pCLE were determined.
Results
Twenty-four patients were included. Ten ESCNs were found in 8 patients (33%). Forty percent of high-graded intraepithelial neoplasias and all low-grade intraepithelial neoplasias were overlooked by dNBI. The sensitivity, specificity, PPV, NPV, and accuracy of dNBI vs. LCE combined with pCLE were 50% vs. 80%, 62% vs. 67%, 36% vs. 44%, 75% vs. 91%, and 83% vs. 70%, respectively.
Conclusions
The use of dNBI to detect ESCN was suboptimal. LCE with pCLE following dNBI had additional value for detecting esophageal dysplasia not detected by dNBI. The use of pCLE to detect dNBI-missed lesions yielded a high NPV, while pCLE-guided biopsy could reduce the number of unnecessary biopsies.

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