Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Assessment of the Rectum and Anus01:25

Assessment of the Rectum and Anus

2.1K
Evaluating the rectum and anus plays a crucial role in conducting a thorough physical examination of the gastrointestinal system. Although it may be uncomfortable and often embarrassing for the patient, it holds immense diagnostic value, particularly in detecting gastrointestinal diseases and abnormalities. This guide will explain how to perform this assessment using inspection and palpation methods.
Rectal Inspection
Begin by inspecting the perianal and anal areas for color, texture, rashes,...
2.1K
Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy01:26

Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy

681
This lesson explores three gastrointestinal imaging techniques: radionuclide testing, colonic transit studies, and virtual colonoscopy.
Radionuclide Testing
Radionuclide testing is a sophisticated medical technique for assessing gastrointestinal motility. It focuses on gastric emptying and colonic transit time. Radioactive markers track the movement of food through the digestive system, providing insights into gastrointestinal disorders.
In gastric emptying studies, a meal's liquid and...
681

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

TRPM2 Deficiency Attenuates Allergic Rhinitis-Like Inflammation With Altered Ca<sup>2+</sup>-NFAT Signaling, Treg Responses, and sIgE Production.

Immunity, inflammation and disease·2026
Same author

Salidroside alleviates age-related metaphase II oocyte aging by enhancing mitochondrial complex I-mediated oxidative phosphorylation.

Cellular signalling·2026
Same author

Screening and validating HBV mother-to-child transmission-related lncRNAs based on the lncRNA-mRNA co-expression network.

Frontiers in immunology·2026
Same author

Maternal hyperhomocysteinemia compromises female offspring fertility through overactivation of primordial follicles.

iScience·2026
Same author

Design strategy, functional mechanism and antibacterial applications of metal-organic framework-hyaluronic acid composite.

International journal of biological macromolecules·2026
Same author

Prediction of cognitive impairment in epilepsy with spike-and-wave activation in sleep based on EEG.

Therapeutic advances in neurological disorders·2026

Related Experiment Video

Updated: May 5, 2026

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
15:17

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing

Published on: September 25, 2011

14.1K

Colorectal mucosal exposure area assessment using artificial intelligence: a multicenter prospective observational

Jialing Li1,2,3,4, Li Huang1,2,3,4, Chaijie Luo1,2,3,4

  • 1Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.

Endoscopy
|September 3, 2025
PubMed
Summary

A new deep learning system, cumulative colorectal mucosal exposure area (CCMEA), improves colonoscopy quality. The CCMEA-qualified group demonstrated significantly higher adenoma detection rates, enhancing patient care.

More Related Videos

Murine Endoscopy for In Vivo Multimodal Imaging of Carcinogenesis and Assessment of Intestinal Wound Healing and Inflammation
09:42

Murine Endoscopy for In Vivo Multimodal Imaging of Carcinogenesis and Assessment of Intestinal Wound Healing and Inflammation

Published on: August 26, 2014

18.8K
Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection
07:35

Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection

Published on: June 8, 2020

7.0K

Related Experiment Videos

Last Updated: May 5, 2026

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
15:17

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing

Published on: September 25, 2011

14.1K
Murine Endoscopy for In Vivo Multimodal Imaging of Carcinogenesis and Assessment of Intestinal Wound Healing and Inflammation
09:42

Murine Endoscopy for In Vivo Multimodal Imaging of Carcinogenesis and Assessment of Intestinal Wound Healing and Inflammation

Published on: August 26, 2014

18.8K
Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection
07:35

Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection

Published on: June 8, 2020

7.0K

Area of Science:

  • Gastroenterology
  • Medical Technology
  • Artificial Intelligence in Medicine

Background:

  • Colonoscopy quality is crucial for detecting colorectal neoplasia.
  • Current quality indicators may not fully capture mucosal exposure during the procedure.
  • A novel indicator, cumulative colorectal mucosal exposure area (CCMEA), was developed using deep learning.

Purpose of the Study:

  • To introduce and validate the cumulative colorectal mucosal exposure area (CCMEA) as a novel quality control indicator for colonoscopy.
  • To assess the performance of a deep learning-based CCMEA system in a clinical setting.
  • To determine if CCMEA can differentiate colonoscopies based on adenoma detection rates.

Main Methods:

  • A deep learning system utilizing ResNet50 and UNet++ was developed to calculate CCMEA.
  • A CCMEA threshold of 2000 was established based on the 25% adenoma detection rate (ADR) quality benchmark.
  • A multi-center prospective observational study evaluated 510 patients, comparing ADR and other detection rates between CCMEA-qualified and unqualified groups.

Main Results:

  • The CCMEA system classified 270 patients as qualified and 240 as unqualified (CCMEA threshold: 2000).
  • The qualified group exhibited a significantly higher ADR (53.70% vs. 14.17%, aOR=7.97), particularly for small adenomas (42.22% vs. 10.00%).
  • Higher polyp detection rates (89.63% vs. 40.00%), adenoma counts (1.00 vs 0.17), and polyp counts (5.79 vs 1.32) were observed in the qualified group.

Conclusions:

  • The cumulative colorectal mucosal exposure area (CCMEA) system, with a threshold of 2000, effectively identifies higher quality colonoscopies.
  • CCMEA-qualified colonoscopies are associated with significantly improved adenoma detection rates.
  • CCMEA shows promise as a valuable objective indicator for colonoscopy quality control.