Article
Oncology
Hongliu Du, Zehua Dong, Lianlian Wu, Yanxia Li, Jun Liu, Chaijie Luo, Xiaoquan Zeng, Yunchao Deng, Du Cheng, Wenxiu Diao, Yijie Zhu, Xiao Tao, Junxiao Wang, Chenxia Zhang, Honggang Yu
Summary: A deep-learning system named ENDOANGEL-MM was constructed in this study for real-time diagnosis of gastric neoplasms using white light and weak-magnifying data. The system showed good accuracy and has the potential to be used in clinical practice.
Article
Multidisciplinary Sciences
Alexandre Arnoult, Jonathan Colin
Summary: The MIC method is a new approach to measure curvature changes of optically reflecting surfaces based on the magnification factor of the virtual image size. This method demonstrates high precision, accuracy, and significant advantages for real-time growth monitoring, making it suitable for various applications.
SCIENTIFIC REPORTS
(2021)
Article
Gastroenterology & Hepatology
Eladio Rodriguez-Diaz, Gyorgy Baffy, Wai-Kit Lo, Hiroshi Mashimo, Gitanjali Vidyarthi, Shyam S. Mohapatra, Satish K. Singh
Summary: A novel in situ CADx approach using deep learning models was developed for real-time histology of colonic polyps, achieving high sensitivity and specificity in distinguishing neoplastic from non-neoplastic polyps and providing a histology map of the polyp's surface. The model's capability may enhance interpretability of AI-based RTH and offer intuitive, accurate, and user-friendly guidance in clinical management and documentation of optical histology results.
GASTROINTESTINAL ENDOSCOPY
(2021)
Article
Oncology
Yusuke Horiuchi, Toshiaki Hirasawa, Naoki Ishizuka, Hiroyuki Hatamori, Yohei Ikenoyama, Junki Tokura, Mitsuaki Ishioka, Yoshitaka Tokai, Ken Namikawa, Shoichi Yoshimizu, Akiyoshi Ishiyama, Toshiyuki Yoshio, Tomohiro Tsuchida, Junko Fujisaki
Summary: The study demonstrated that the diagnostic performance of endocytoscopy with narrow-band imaging was superior to magnifying endoscopy with narrow-band imaging in diagnosing gastric cancer. These results may potentially impact the choice of diagnostic techniques for gastric cancer.
Review
Medicine, General & Internal
Andrej Wagner, Stephan Zandanell, Tobias Kiesslich, Daniel Neureiter, Eckhard Klieser, Josef Holzinger, Frieder Berr
Summary: Endoscopic characterization of gastrointestinal neoplasias using image-enhanced and magnification endoscopy shows diagnostic accuracy over 90%, but further prospective clinical studies are needed for validation in various types of neoplasms.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Gastroenterology & Hepatology
Melissa Gruner, Angelique Denis, Claude Masliah, Morgane Amil, Elodie Metivier-Cesbron, Dominique Luet, Medhi Kaasis, Emmanuel Coron, Marc Le Rhun, Stephane Lecleire, Michel Antonietti, Jean-Louis Legoux, Laurent Lefrou, Pascal Renkes, Anne-Laure Tarreirias, Philippe Balian, Philippe Rey, Benedicte Prost, Christophe Cellier, Gabriel Rahmi, Elia Samaha, Serge Fratte, Beatrice Guerrier, Verena Landel, Sandrine Touzet, Thierry Ponchon, Mathieu Pioche
Summary: This study demonstrated that in current gastroenterology practice, NBI was more specific than Lugol for the detection of early SCC, suggesting that combined approaches with both NBI and Lugol could improve the detection of squamous neoplasia.
Review
Medicine, General & Internal
Kaname Uno, Tomoyuki Koike, Waku Hatta, Masahiro Saito, Mizuki Tanabe, Atsushi Masamune
Summary: This article reviews the recent developments in advanced imaging and molecular imaging for monitoring Barrett's esophagus neoplasia. It emphasizes the limitations of current surveillance methods and introduces new technologies such as advanced imaging systems and molecular biomarkers that have the potential to improve early detection and provide information for precision medicine.
Article
Gastroenterology & Hepatology
Yuto Shimamura, Haruhiro Inoue, Enrique Rodriguez de Santiago, Mary Raina Angeli Abad, Yusuke Fujiyoshi, Akiko Toshimori, Mayo Tanabe, Kazuya Sumi, Yugo Iwaya, Haruo Ikeda, Manabu Onimaru, Miki Kushima, Kenichi Goda
Summary: This study aimed to evaluate the diagnostic yield of the fourth-generation EC for esophageal squamous lesions, revealing acceptable diagnostic accuracy and reliability in both experts and non-experts, especially when diagnosing SCC lesions.
DIGESTIVE ENDOSCOPY
(2021)
Article
Biology
Wentao Yu, Lei Kang, Victor T. C. Tsang, Yan Zhang, Ivy H. M. Wong, Terence T. W. Wong
Summary: TRUST is a fast, cost-effective, and robust multicolor whole-organ 3D imaging method that achieves fluorescence imaging of exogenous molecular-specific and endogenous autofluorescence simultaneously. It offers fast and high-content multicolor 3D imaging capability for vital organs and developmental biology samples.
Article
Gastroenterology & Hepatology
Yusuke Horiuchi, Toshiaki Hirasawa, Naoki Ishizuka, Junki Tokura, Mitsuaki Ishioka, Yoshitaka Tokai, Ken Namikawa, Shoichi Yoshimizu, Akiyoshi Ishiyama, Toshiyuki Yoshio, Junko Fujisaki
Summary: The study found that evaluating endocytoscopy with narrow-band imaging based solely on the microvascular pattern is a more accurate diagnostic method for gastric cancer compared to the microsurface pattern, with better diagnostic performance.
Article
Gastroenterology & Hepatology
Maarten R. Struyvenberg, Albert J. de Groof, Joost van der Putten, Fons van der Sommen, Francisco Baldaque-Silva, Masami Omae, Roos Pouw, Raf Bisschops, Michael Vieth, Erik J. Schoon, Wouter L. Curvers, Peter H. de With, Jacques J. Bergman
Summary: The research demonstrated the feasibility of a deep-learning CAD system for tissue characterization of NBI zoom imagery in Barrett's esophagus, achieving promising diagnostic accuracy in predicting the presence/absence of Barrett's neoplasia.
GASTROINTESTINAL ENDOSCOPY
(2021)
Article
Biochemical Research Methods
Joan E. Nichols, Sasha R. Azar
Summary: The combined modality allows real-time imaging of mouse lungs at both whole-organ and cellular scales.
Review
Radiology, Nuclear Medicine & Medical Imaging
Krishna S. Nayak, Yongwan Lim, Adrienne E. Campbell-Washburn, Jennifer Steeden
Summary: Real-time magnetic resonance imaging (RT-MRI) is an imaging technique that allows for imaging dynamic processes without the need for repetition or synchronization. It has unique diagnostic value in areas of the body that undergo irregular motion, such as the heart and gastrointestinal system, and plays an important role in image guidance of invasive procedures requiring soft-tissue contrast and flow information.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Acoustics
Maxime Bilodeau, Felix-Antoine Amyot, Patrice Masson, Nicolas Quaegebeur
Summary: The paper presents the application of the Correlation-Based (CB) imaging method in estimating the phase of complex reflection coefficients. The resulting Correlation-Based Phase Imaging (CBPI) method can be used to segment and identify different features or tissue elasticity variations in a given medium. Numerical validation and experimental datasets demonstrate the potential of CBPI on scatterers and specular reflectors.
Article
Gastroenterology & Hepatology
Shraddha Gulati, Andrew Emmanuel, Mark Ong, Polychronis Pavlidis, Mehul Patel, Tareq El-Menabawey, Zuzana Vackova, Patrick Dubois, Alberto Murino, Jan Martinek, Amrita Sethi, Helmut Neumann, Amyn Haji, Bu'Hussain Hayee
Summary: The study developed and validated a novel NF-NBI classification for reliably diagnosing VA in suspected CD, which was found to be useful for both expert and nonexpert endoscopists, utilizing readily available equipment and requiring minimal training.
GASTROINTESTINAL ENDOSCOPY
(2021)
Review
Gastroenterology & Hepatology
Keng Hoong Chiam, Seon Ho Shin, Kun Cheong Choi, Florencia Leiria, Mariana Militz, Rajvinder Singh
Summary: Recent advances in endoscopic imaging of the esophagus have greatly improved the diagnostic capability for detecting premalignant changes and early esophageal malignancy. This article focuses on the practical application of narrow-band imaging in diseases of the esophagus, such as Barrett's esophagus, adenocarcinoma, and squamous cell carcinoma.
Article
Gastroenterology & Hepatology
Iddo Bar-Yishay, Neal Shahidi, Sunil Gupta, Sergei Vosko, W. Arnout van Hattem, Scott Schoeman, Mayenaaz Sidhu, David J. Tate, Luke F. Hourigan, Rajvinder Singh, Alan Moss, Spiro C. Raftopoulos, Gregor Brown, Simon Zanati, Steven J. Heitman, Eric Y. T. Lee, Nicholas Burgess, Stephen J. Williams, Karen Byth, Michael J. Bourke
Summary: The study evaluated the outcomes of intra-procedural deep mural injury (DMI) in large non-pedunculated colorectal polyps (LNPCPs) undergoing endoscopic mucosal resection (EMR). It found that significant DMI can be managed endoscopically with high success rates and does not impact technical success or recurrence.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2022)
Article
Gastroenterology & Hepatology
Honggang Yu, Rajvinder Singh, Seon Ho Shin, Khek Yu Ho
Summary: AI has recently been introduced to assist endoscopists in the detection and diagnosis of upper GI neoplasia. However, current AI studies for upper GI endoscopy are smaller pilot studies, and researchers lack large volume, well-annotated datasets.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
(2021)
Article
Gastroenterology & Hepatology
Sergei Vosko, Neal Shahidi, Mayenaaz Sidhu, W. Arnout van Hattem, Iddo Bar-Yishay, Scott Schoeman, David J. Tate, Luke F. Hourigan, Rajvinder Singh, Alan Moss, Karen Byth, Eric Y. T. Lee, Nicholas G. Burgess, Michael J. Bourke
Summary: This study found significant differences in optical evaluation performance between flat and nodular large nonpedunculated colorectal polyps. Flat lesions can be presumed benign and managed accordingly, while nodular lesions are more likely to be missed for submucosal invasive cancer.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2021)
Article
Oncology
Guan Sen Kew, Alex Yu Sen Soh, Yeong Yeh Lee, Takuji Gotoda, Yan-Qing Li, Yan Zhang, Yiong Huak Chan, Kewin Tien Ho Siah, Daniel Tong, Simon Ying Kit Law, Andrew Ruszkiewicz, Ping-Huei Tseng, Yi-Chia Lee, Chi-Yang Chang, Duc Trong Quach, Chika Kusano, Shobna Bhatia, Justin Che-Yuen Wu, Rajvinder Singh, Prateek Sharma, Khek-Yu Ho
Summary: There is significant variation in the preferred diagnosis and management practices of Barrett's esophagus within Asia, with Japan and other countries showing stark differences in the choice of endoscopic landmarks, use of Prague criteria, and adherence to the Seattle protocol. Lack of standardization, education, and research may be contributing factors.
WORLD JOURNAL OF GASTROINTESTINAL ONCOLOGY
(2021)
Review
Endocrinology & Metabolism
Enrik John T. Aguila, Ian Homer Y. Cua, Rajvinder Singh
Summary: The SARS-CoV-2 virus affects the gastrointestinal tract, pancreas, and hepatobiliary system, leading to various GI manifestations. Patients with preexisting digestive diseases are more susceptible to developing severe illness from COVID-19. Along with medical therapy, optimizing nutrition care is crucial for these patients.
CURRENT OPINION IN CLINICAL NUTRITION AND METABOLIC CARE
(2021)
Review
Gastroenterology & Hepatology
Omer Eljyli Hajelssedig, Leonardo Zorron Cheng Tao Pu, Jacqueline Y. Thompson, Anton Lord, Iman El Sayed, Chase Meyer, Faisal Shaukat Ali, Hebatullah M. Abdulazeem, Ammar O. Kheir, Timo Siepmann, Rajvinder Singh
Summary: The study evaluated the diagnostic accuracy of NBI-guided targeted biopsies for detecting dysplasia in BE patients, showing high sensitivity, specificity, positive predictive value, and negative predictive value. The results suggest that NBI-guided biopsy could be a valid substitute for random biopsies in endoscopic surveillance for dysplasia in BE.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
(2021)
Review
Gastroenterology & Hepatology
Edward Young, Hamish Philpott, Rajvinder Singh
Summary: Gastric cancer is a significant global health concern, with effective screening and treatment strategies in high prevalence regions, but challenges remain in lower prevalence areas. Advances in endoscopic imaging and the potential of artificial intelligence are promising for improving detection and treatment of early gastric cancer.
WORLD JOURNAL OF GASTROENTEROLOGY
(2021)
Article
Gastroenterology & Hepatology
Edward H. Tsoi, Puneet Mahindra, Georgina Cameron, Richard Williams, Richard Norris, Paul Desmond, Spiro Raftopoulos, Darren Pavey, Arti Rattan, Luke F. Hourigan, Richard Lee, Michael J. Bourke, Naaz Sidhu, Rajvinder Singh, Andrew Chan, Sudarshan Krishnamurthi, Andrew C. F. Taylor
Summary: This study aimed to determine the proportion of prevalent HGD or EAC detected in Barrett's esophagus (BE) patients referred from the community with a recent diagnosis of low-grade dysplasia (LGD). The results showed that BERU assessment endoscopy identified more visible lesions than community referral endoscopy and identified HGD or EAC in 27% of patients referred from the community with a recent diagnosis of LGD. Reported progression rates from LGD to HGD or EAC may be overestimated.
GASTROINTESTINAL ENDOSCOPY
(2021)
Editorial Material
Gastroenterology & Hepatology
E. Young, A. Ruszkiewicz, R. Singh
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
(2022)
Review
Gastroenterology & Hepatology
Chika Kusano, Rajvinder Singh, Yeong Yeh Lee, Yu Sen Alex Soh, Prateek Sharma, Khek-Yu Ho, Takuji Gotoda
Summary: Endoscopic diagnosis is crucial for early detection of esophageal adenocarcinoma and esophagogastric junction cancer. However, there are significant differences in diagnostic methods for Barrett's esophagus among international guidelines. Clarifying the location of the gastroesophageal junction is important for defining Barrett's esophagus, but it can be difficult due to air entry or reflux esophagitis. Non-targeted biopsies are commonly used to detect intestinal metaplasia, dysplasia, and cancer in Barrett's esophagus. Advanced imaging technologies and artificial intelligence have shown promising results in diagnosing Barrett's esophagus.
DIGESTIVE ENDOSCOPY
(2022)
Article
Gastroenterology & Hepatology
Fabian Emura, Viveksandeep Thoguluva Chandrasekar, Cesare Hassan, David Armstrong, Helmut Messmann, Vitor Arantes, Raul Araya, Oscar Barrera-Leon, Jacques J. G. H. M. Bergman, Pradeep Bandhari, Michael J. Bourke, Cecilio Cerisoli, Philip Wai-Yan Chiu, Madhav Desai, Mario Dinis-Ribeiro, Gary W. Falk, Mitsuhiro Fujishiro, Srinivas Gaddam, Kenichi Goda, Seth Gross, Rehan Haidry, Lawrence Ho, Prasad G. Iyer, Sergey Kashin, Shivangi Kothari, Yeong Yeh Lee, Koji Matsuda, Horst Neuhaus, Tsuneo Oyama, Krish Ragunath, Alessandro Repici, Nicholas Shaheen, Rajvinder Singh, Sergio Sobrino-Cossio, Kenneth K. Wang, Irving Waxman, Prateek Sharma
Summary: This study developed evidence-based, consensus-driven statements on endoscopic landmarks, definitions, and classifications of Barrett's esophagus (BE). These recommendations may facilitate global uniform reporting in BE.
Article
Gastroenterology & Hepatology
Dave J. Gibson, Mayenaaz Sidhu, Simon Zanati, David J. Tate, Dileep Mangira, Alan Moss, Rajvinder Singh, Luke F. Hourigan, Spiro Raftopoulos, Alan Pham, Phil Kostos, M. Priyanthi Kumarasinghe, Andrew Ruszkiewicz, Duncan McLeod, Gregor J. E. Brown, Michael J. Bourke
Summary: For patients with covert submucosal invasive cancer (SMIC) discovered after piecemeal endoscopic mucosal resection (pEMR) of large non-pedunculated colorectal polyps, the majority will have no residual malignancy. The risk of residual malignancy can be determined by three key variables: poor differentiation (PD), lymphovascular invasion (LVI), and R1 deep margin.
Article
Computer Science, Artificial Intelligence
Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Summary: Unsupervised anomaly detection (UAD) is an important medical image analysis method for disease screening. However, training with only normal images may result in ineffective image representations that cannot detect unseen abnormal lesions. This paper proposes a new self-supervised pre-training method (PMSACL) that improves the accuracy of UAD methods by forming dense clusters for synthesized abnormal images.
MEDICAL IMAGE ANALYSIS
(2023)
Proceedings Paper
Engineering, Biomedical
David Butler, Yuan Zhang, Tim Chen, Seon Ho Shin, Rajvinder Singh, Gustavo Carneiro
Summary: Real-time and robust automatic detection of polyps from colonoscopy videos is an essential task. The current focus is on accurate but inefficient detectors, but we advocate the development of simple and efficient detectors combined with effective trackers for real-time detection. This paper proposes a Kalman filtering tracker that can work with powerful and efficient detectors, achieving state-of-the-art detection accuracy and real-time processing.
2022 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (IEEE ISBI 2022)
(2022)
