4.6 Review

Computer-aided diagnosis in predicting the invasion depth of early colorectal cancer: a systematic review and meta-analysis of diagnostic test accuracy

Related references

Note: Only part of the references are listed.
Article Gastroenterology & Hepatology

Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video)

Zihua Lu et al.

Summary: This study aimed to construct and validate a 2-modal deep learning-based system, incorporated with both white light and image-enhanced endoscopy images, in estimating the invasion depth of colorectal cancer. The results showed that the system had a high accuracy and could be well applied in clinical practice.

GASTROINTESTINAL ENDOSCOPY (2022)

Article Computer Science, Artificial Intelligence

The role of AI technology in prediction, diagnosis and treatment of colorectal cancer

Chaoran Yu et al.

Summary: Artificial intelligence, incorporating machine learning and neural networks, shows great potential in aiding the fight against colorectal cancer by improving diagnostics, treatments, and information gathering methods. The implementation of AI in various tools and approaches promises better and personalized therapeutic recommendations for patients in need.

ARTIFICIAL INTELLIGENCE REVIEW (2022)

Review Gastroenterology & Hepatology

Artificial Intelligence in Endoscopy

Yutaka Okagawa et al.

Summary: AI is rapidly developing in various medical fields, particularly in gastrointestinal endoscopy where research is increasing. The application of convolutional neural network has the potential to revolutionize the field, with focuses on cancer detection, depth of cancer invasion, and various diseases in esophagus, stomach, CE, and colonoscopy. Most studies are still in the preclinical stages, but video-based prospective studies are needed to advance the field for daily clinical practice.

DIGESTIVE DISEASES AND SCIENCES (2022)

Article Gastroenterology & Hepatology

Endoscopic submucosal dissection for superficial gastrointestinal lesions: European Society of Gastrointestinal Endoscopy (ESGE) Guideline - Update 2022

Pedro Pimentel-Nunes et al.

Summary: This guideline provides recommendations for the evaluation and treatment of superficial gastrointestinal lesions. It suggests that experienced endoscopists should use high definition white-light and chromoendoscopy for evaluation and recommends endoscopic submucosal dissection for most lesions. Different treatment approaches are suggested for specific situations. The guideline also provides recommendations for post-resection surveillance and treatment.

ENDOSCOPY (2022)

Article Gastroenterology & Hepatology

Development of multi-class computer-aided diagnostic systems using the NICE/JNET classifications for colorectal lesions

Yuki Okamoto et al.

Summary: The study developed CADx systems based on NICE and JNET classifications with good diagnostic performance for colorectal lesions. The CADx systems may assist in educating non-expert endoscopists and aid in diagnosing lesions.

JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY (2022)

Article Computer Science, Information Systems

Artificial Intelligence for Colonoscopy: Past, Present, and Future

Wallapak Tavanapong et al.

Summary: This article summarizes the development of image analysis methods for colonoscopy and focuses on two categories of AI technologies used in clinical trials. The survey includes traditional machine learning algorithms and recent deep-learning methods. The article also discusses the gap between current technology and clinical needs, and presents future directions for technology development.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2022)

Article Oncology

Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer

Hang Qiu et al.

Summary: This article reviews the research progress and clinical application value of artificial intelligence technologies in the screening, diagnosis, treatment, and prognosis of colorectal cancer. The limitations and challenges in the clinical implementation of AI are also discussed.

CURRENT ONCOLOGY (2022)

Article Gastroenterology & Hepatology

Computer-aided diagnosis system using only white-light endoscopy for the prediction of invasion depth in colorectal cancer

Mamoru Tokunaga et al.

Summary: The study developed and evaluated a novel CAD system for determining the appropriateness of endoscopic treatment for colorectal lesions using only white-light endoscopy. The CAD system demonstrated high sensitivity, specificity, and accuracy in distinguishing treatable and untreatable lesions, performing comparably to experts and better than trainees. Assistants using the CAD system showed diagnostic capabilities comparable to those of experts.

GASTROINTESTINAL ENDOSCOPY (2021)

Article Oncology

Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

Hyuna Sung et al.

Summary: The global cancer burden in 2020 saw an estimated 19.3 million new cancer cases and almost 10.0 million cancer deaths. Female breast cancer surpassed lung cancer as the most commonly diagnosed cancer, while lung cancer remained the leading cause of cancer death. These trends are expected to rise in 2040, with transitioning countries experiencing a larger increase compared to transitioned countries due to demographic changes and risk factors associated with globalization and a growing economy. Efforts to improve cancer prevention measures and provision of cancer care in transitioning countries will be crucial for global cancer control.

CA-A CANCER JOURNAL FOR CLINICIANS (2021)

Review Gastroenterology & Hepatology

Artificial intelligence-assisted colonoscopy: A review of current state of practice and research

Mahsa Taghiakbari et al.

Summary: Colonoscopy is an effective screening procedure in colorectal cancer prevention programs, and AI-assisted decision support systems show promise in improving the detection and classification of colorectal polyps and cancer. However, challenges remain in determining their real-time application value in clinical practice due to limitations in model design, validation, and testing under real-life conditions.

WORLD JOURNAL OF GASTROENTEROLOGY (2021)

Article Gastroenterology & Hepatology

Artificial intelligence-enhanced white-light colonoscopy with attention guidance predicts colorectal cancer invasion depth

Xiaobei Luo et al.

Summary: An AI-enhanced WLC system has been developed to differentiate noninvasive or superficial submucosal invasive neoplasms from deeply invasive CRC with high accuracy, sensitivity, and specificity.

GASTROINTESTINAL ENDOSCOPY (2021)

Review Gastroenterology & Hepatology

Computer-aided detection versus advanced imaging for detection of colorectal neoplasia: a systematic review and network meta-analysis

Marco Spadaccini et al.

Summary: Based on systematic review and network meta-analysis, it was found that CADe has a higher detection rate for colorectal neoplasia compared to other techniques (such as chromoendoscopy or tools that increase mucosal visualization), supporting greater incorporation of CADe strategies into community endoscopy services.

LANCET GASTROENTEROLOGY & HEPATOLOGY (2021)

Review Medicine, General & Internal

Screening and prevention of colorectal cancer

Priyanka Kanth et al.

Summary: Mortality from colorectal cancer can be reduced through screening and early detection; current efforts and tools for screening have been advancing, but overall screening rates in the US are suboptimal.

BMJ-BRITISH MEDICAL JOURNAL (2021)

Article Gastroenterology & Hepatology

Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis

Julia Arribas et al.

Summary: Studies have evaluated the diagnostic performance of artificial intelligence in detecting and characterizing upper gastrointestinal lesions, showing a high overall accuracy for diagnosing any neoplastic lesion of the upper GI tract independently of the underlying condition.
Review Gastroenterology & Hepatology

Application of Artificial Intelligence to Gastroenterology and Hepatology

Catherine Le Berre et al.

GASTROENTEROLOGY (2020)

Article Gastroenterology & Hepatology

Computer-aided diagnosis for characterization of colorectal lesions: comprehensive software that includes differentiation of serrated lesions

Leonardo Zorron Cheng Tao Pu et al.

GASTROINTESTINAL ENDOSCOPY (2020)

Article Gastroenterology & Hepatology

Endoscopic Removal of Colorectal Lesions-Recommendations by the US Multi-Society Task Force on Colorectal Cancer

Tonya Kaltenbach et al.

GASTROINTESTINAL ENDOSCOPY (2020)

Article Multidisciplinary Sciences

Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model

Eun Mi Song et al.

SCIENTIFIC REPORTS (2020)

Article Gastroenterology & Hepatology

Endoscopic prediction of deeply submucosal invasive carcinoma with use of artificial intelligence

Thomas K. L. Lui et al.

ENDOSCOPY INTERNATIONAL OPEN (2019)

Editorial Material Gastroenterology & Hepatology

Japan NBI Expert Team classification: Narrow-band imaging magnifying endoscopic classification of colorectal tumors

Yasushi Sano et al.

DIGESTIVE ENDOSCOPY (2018)

Review Medicine, General & Internal

Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies The PRISMA-DTA Statement

Matthew D. F. McInnes et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2018)

Article Gastroenterology & Hepatology

Global patterns and trends in colorectal cancer incidence and mortality

Melina Arnold et al.

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Gastroenterology & Hepatology

Narrow-band imaging with dual focus magnification in differentiating colorectal neoplasia

Rajvinder Singh et al.

DIGESTIVE ENDOSCOPY (2013)

Article Medicine, General & Internal

Long-Term Colorectal-Cancer Incidence and Mortality after Lower Endoscopy

Reiko Nishihara et al.

NEW ENGLAND JOURNAL OF MEDICINE (2013)

Article Gastroenterology & Hepatology

SANO'S CAPILLARY PATTERN CLASSIFICATION FOR NARROW-BAND IMAGING OF EARLY COLORECTAL LESIONS

Toshio Uraoka et al.

DIGESTIVE ENDOSCOPY (2011)

Article Gastroenterology & Hepatology

A prospective, multicenter study of 1111 colorectal endoscopic submucosal dissections

Yutaka Saito et al.

GASTROINTESTINAL ENDOSCOPY (2010)

Article Gastroenterology & Hepatology

Diagnosis of depth of invasion for early colorectal cancer using magnifying colonoscopy

Hisatomo Ikehara et al.

JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY (2010)

Article Gastroenterology & Hepatology

Narrow band imaging with magnifying colonoscopy as diagnostic tool for predicting histology of early colorectal neoplasia

A. Katagiri et al.

ALIMENTARY PHARMACOLOGY & THERAPEUTICS (2008)

Article Gastroenterology & Hepatology

Efficacy of the Invasive/Non-invasive Pattern by Magnifying Chromoendoscopy to Estimate the Depth of Invasion of Early Colorectal Neoplasms

Takahisa Matsuda et al.

AMERICAN JOURNAL OF GASTROENTEROLOGY (2008)

Article Mathematical & Computational Biology

Prevalence-dependent diagnostic accuracy measures

Jialiang Li et al.

STATISTICS IN MEDICINE (2007)

Article Medicine, General & Internal

Measuring inconsistency in meta-analyses

JPT Higgins et al.

BMJ-BRITISH MEDICAL JOURNAL (2003)

Article Medicine, General & Internal

Statistics Notes - Interaction revisited: the difference between two estimates

DG Altman et al.

BMJ-BRITISH MEDICAL JOURNAL (2003)