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

Serum Laboratory Studies, Stool Test, Breath Test01:30

Serum Laboratory Studies, Stool Test, Breath Test

297
Gastrointestinal (GI) diagnostic studies are pivotal in confirming, ruling out, diagnosing, or staging various diseases, including cancers. Following diagnosis, allocating time for discussions with the patient and providing informational resources is crucial. Diagnostic assessments of the GI tract often occur in outpatient settings like endoscopy suites or GI labs. Preparation for these tests may include dietary restrictions, fasting, liquid bowel preparations, laxatives, enemas, and the...
297
Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

771
Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...
771

You might also read

Related Articles

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

Sort by
Same author

Factors Influencing Caregivers' Intention to Use Transfer-care Robots: A Sequential Explanatory Mixed-methods Study.

Computers, informatics, nursing : CIN·2026
Same author

Prediction of Visual Field Progression in Myopic Normal Tension Glaucoma Using a Nomogram-Based Model.

Journal of clinical medicine·2026
Same author

Visual Ordinal Coronary Calcium Scoring on Routine PET/CT for Predicting Perioperative Major Clinical Events After Noncardiac Surgery.

AJR. American journal of roentgenology·2026
Same author

Association between Allergen Sensitization and Open-Angle Glaucoma: An Analysis Using 2010 Korea National Health and Nutrition Examination Survey (KNHANES) Data.

Korean journal of ophthalmology : KJO·2026
Same author

Different intraocular pressure-lowering effects of latanoprostene bunod across glaucoma subtypes: a 12-month real-world clinical study.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie·2025
Same author

Reply.

Diseases of the colon and rectum·2025

Related Experiment Video

Updated: May 24, 2025

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

6.9K

Development of a Predictive Model for Colorectal Cancer Using Exhaled Volatile Organic Compounds.

Se-Jin Baek1, Hosub Lim2, Selim Oh2

  • 1Division of Colon and Rectal Surgery, Department of Surgery, Korea University College of Medicine, Seoul, South Korea.

Diseases of the Colon and Rectum
|March 5, 2025
PubMed
Summary
This summary is machine-generated.

Diagnosing colorectal cancer may soon be possible using exhaled breath. This study developed a predictive model combining volatile organic compounds (VOCs) and clinical data, achieving high accuracy in differentiating patients from healthy individuals.

Keywords:
BiomarkerColorectal neoplasmDiagnosisExhaled breathVolatile organic compound

More Related Videos

Capturing Actively Produced Microbial Volatile Organic Compounds from Human-Associated Samples with Vacuum-Assisted Sorbent Extraction
09:19

Capturing Actively Produced Microbial Volatile Organic Compounds from Human-Associated Samples with Vacuum-Assisted Sorbent Extraction

Published on: June 1, 2022

4.0K
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

201

Related Experiment Videos

Last Updated: May 24, 2025

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

6.9K
Capturing Actively Produced Microbial Volatile Organic Compounds from Human-Associated Samples with Vacuum-Assisted Sorbent Extraction
09:19

Capturing Actively Produced Microbial Volatile Organic Compounds from Human-Associated Samples with Vacuum-Assisted Sorbent Extraction

Published on: June 1, 2022

4.0K
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

201

Area of Science:

  • Biomarkers and Diagnostics
  • Respiratory Medicine
  • Oncology

Background:

  • Colorectal cancer (CRC) diagnosis lacks noninvasive and efficient markers.
  • Volatile organic compounds (VOCs) in exhaled breath show promise as disease indicators.

Purpose of the Study:

  • To establish a predictive model for colorectal cancer (CRC) diagnosis using exhaled VOCs.
  • To identify specific VOCs and clinical variables for differentiating CRC patients from healthy controls.

Main Methods:

  • Prospective comparative study involving 112 CRC patients and 51 healthy controls.
  • Exhaled breath collected under controlled conditions (e.g., diet, smoking).
  • Analysis of 53 VOCs using thermal desorption-gas chromatography/mass spectrometry (TD-GC/MS).

Main Results:

  • Four predictive models were developed incorporating clinical variables (age, sex, diet, etc.) and 8 specific VOCs.
  • Models demonstrated high diagnostic performance: sensitivity (84.0%–98.2%), specificity (89.2%–93.8%), and AUC (92.1%–98.3%).
  • Significant differences in 8 VOC levels were observed between CRC patients and controls.

Conclusions:

  • Exhaled VOC profiles differ significantly between colorectal cancer patients and healthy individuals.
  • A combined model of VOCs and clinical variables shows strong potential for noninvasive CRC diagnosis.
  • Further research is needed, acknowledging demographic differences between study groups.