ReviewMolecular oncology2021
Advances in optical gastrointestinal endoscopy: a technical review.
Review in Molecular oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Endoluminal Procedures and Devices for Esophageal Tract Investigation: A Critical Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Origami Robotics in Biomedical Applications: A Paradigm Shift in Design and Innovation.Annals of biomedical engineering · 2026Review
- Artificial intelligence in inflammatory bowel disease: From current evidence, clinical translation, and the road to precision medicine.Chinese medical journal · 2026Review
- Stray light analysis and suppression of an ultra-high-magnification zoom endoscopy.Biomedical optics express · 2026Article
- AI-Enhanced Vibrational Capsule for Minimally Invasive Detection of Abnormal Bowel Tissue.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Advances and Opportunities in NIR-II Endoscopy: From Diagnosis to Therapeutic Applications.Diagnostics (Basel, Switzerland) · 2026Review
- Challenges and Prospects of Using Novel Nonlinear Effects in Multimode Optical Fibers for Multiphoton Endomicroscopy.Diagnostics (Basel, Switzerland) · 2026Review
- A Bionic Multichannel Whisker System for Assisting Endoluminal Intervention.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Intraoperative endoscopy: A controversial tool or a necessity in modern esophagogastric surgery?World journal of gastrointestinal surgery · 2025Review
- Advancements in injection materials for submucosal lifting in endoscopic interventions.World journal of gastrointestinal surgery · 2025Review
- Optical Imaging Technologies and Clinical Applications in Gastrointestinal Endoscopy.Diagnostics (Basel, Switzerland) · 2025Review
- Development of deep learning-based narrow-band imaging endocytoscopic classification for predicting colorectal lesions from a retrospective study.Nature communications · 2025Article
- Artificial Intelligence in Upper Gastrointestinal Diagnosis.The Korean journal of helicobacter and upper gastrointestinal research · 2025Review
- Profiling plasma protease activity with charge-changing peptides enables detection and classification of gastrointestinal cancers.Scientific reports · 2025Article
- Identification and removal of system-induced autofluorescence in miniaturized fiber-optic fluorescence endoscopes.PNAS nexus · 2025Article
- Transforming Gastrointestinal Diagnosis with Molecular Endoscopy: Challenges and Opportunities.International journal of molecular sciences · 2025Review
- Comprehensive Analysis of Advancement in Optical Biosensing Techniques for Early Detection of Cancerous Cells.Biosensors · 2025Review
- Magnetically actuatable 3D-printed endoscopic microsystems.Communications engineering · 2025Article
- Multimodal esophageal cancer imaging: establishing data processing techniques and assessing diagnostic sensitivity.Biophotonics discovery · 2025Article
- Management of gastrointestinal bleed in the intensive care setting, an updated literature review.World journal of critical care medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Optical endoscopy is the primary diagnostic and therapeutic tool for management of gastrointestinal (GI) malignancies. Most GI neoplasms arise from precancerous lesions; thus, technical innovations to improve detection and diagnosis of precancerous lesions and early cancers play a pivotal role in improving outcomes. Over the last few decades, the field of GI endoscopy has witnessed enormous and focused efforts to develop and translate accurate, user-friendly, and minimally invasive optical imaging modalities. From a technical point of view, a wide range of novel optical techniques is now available to probe different aspects of light-tissue interaction at macroscopic and microscopic scales, complementing white light endoscopy. Most of these new modalities have been successfully validated and translated to routine clinical practice. Herein, we provide a technical review of the current status of existing and promising new optical endoscopic imaging technologies for GI cancer screening and surveillance. We summarize the underlying principles of light-tissue interaction, the imaging performance at different scales, and highlight what is known about clinical applicability and effectiveness. Furthermore, we discuss recent discovery and translation of novel molecular probes that have shown promise to augment endoscopists' ability to diagnose GI lesions with high specificity. We also review and discuss the role and potential clinical integration of artificial intelligence-based algorithms to provide decision support in real time. Finally, we provide perspectives on future technology development and its potential to transform endoscopic GI cancer detection and diagnosis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.