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

Inflammatory Bowel Disease III: Diagnostic Studies and Management I-Nutritional Therapy01:30

Inflammatory Bowel Disease III: Diagnostic Studies and Management I-Nutritional Therapy

Various diagnostic tests are employed in the diagnostic process for Inflammatory Bowel Disease (IBD), particularly to differentiate between Crohn's disease and ulcerative colitis.
Diagnostic studies
A colonoscopy is the definitive screening test, distinguishing ulcerative colitis from other colon diseases with similar symptoms. During a colonoscopy test, inflamed mucosa with exudate ulcerations can be observed, and biopsies are taken to determine the histologic characteristics of the colonic...
Inflammatory Bowel Disease II: Ulcerative Colitis01:20

Inflammatory Bowel Disease II: Ulcerative Colitis

Ulcerative colitis is a chronic inflammatory disorder of the colon characterized by continuous mucosal inflammation that typically begins in the rectum and extends proximally in a uniform pattern. Its pathogenesis involves a complex interplay of genetic predisposition, immune dysregulation, and environmental influences. These factors converge to impair the colon’s epithelial defenses and promote an exaggerated inflammatory response against luminal contents.Breakdown of the Mucosal BarrierA...

You might also read

Related Articles

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

Sort by
Same author

<b>Swarming microbombyliids (Diptera, Mythicomyiidae) in amber from Ukraine: a new species and a new synonymy</b>.

Zootaxa·2026
Same author

Decoding motor imagery related to major mimetic muscles from electroencephalography.

Journal of neuroengineering and rehabilitation·2026
Same author

Exploring the Relationship Between Academic Stress and Academic Engagement in Chemistry Laboratory Learning: The Mediating Role of Learning Burnout and the Differentiated Roles of Stress Sources.

Behavioral sciences (Basel, Switzerland)·2026
Same author

Chrysophanol is associated with reduced inflammation and oxidative stress in sepsis-associated acute kidney injury.

Naunyn-Schmiedeberg's archives of pharmacology·2026
Same author

Surface energy-driven perpendicular gradient structure in flexible composite dielectrics for high-temperature capacitive energy storage.

Nature communications·2026
Same author

Mouse Oocyte In Vitro Maturation, Fertilization, and Culture of Preimplantation Embryos.

Journal of visualized experiments : JoVE·2026

Related Experiment Video

Updated: Jun 7, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

An Interpretable CT-based Prediction Model Assists in Predicting Length of Stay in Ulcerative Colitis Patients: A

Jun Lu1, Hongzhe Zhao2, Junlin Li3

  • 1Department of Radiology, Beijing Friendship Hospital, Capital Medical University, China (J.L., H.X., J.Z., T.C., X.H., Y.W., X.M., J.J., Z.W., L.X., Z.Y.); State Key Laboratory of Digestive Health, China (J.L., H.X., Z.W., L.X., Z. Y.).

Academic Radiology
|June 5, 2026
PubMed
Summary

A new model combining CT imaging and lab tests accurately predicts prolonged hospital stays for ulcerative colitis (UC) patients. Visceral adipose tissue density is a key predictor, improving early intervention strategies for UC management.

Keywords:
Body compositionComputed tomographyLength of stayUlcerative colitis

Related Experiment Videos

Last Updated: Jun 7, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

Area of Science:

  • Radiology and Imaging
  • Gastroenterology
  • Predictive Analytics

Background:

  • Ulcerative colitis (UC) management requires accurate prediction of prolonged hospital stays (LOS).
  • Current prediction methods may not fully leverage multimodal data.
  • Identifying early indicators of extended LOS is crucial for resource allocation and patient care.

Purpose of the Study:

  • To develop and validate an interpretable prediction model for prolonged LOS in UC patients.
  • To integrate CT-derived imaging biomarkers and clinical laboratory parameters.
  • To identify key predictors of extended hospital stay in UC.

Main Methods:

  • A multi-center retrospective study involving 273 UC patients.
  • Development of imaging, clinical, and combined prediction models using logistic regression.
  • Evaluation of model performance using Area Under the Curve (AUC), Integrated Discrimination Improvement (IDI), and Net Reclassification Improvement (NRI).
  • Application of Shapley Additive Explanation (SHAP) for feature contribution analysis.

Main Results:

  • The combined model achieved AUCs of 0.862 (training) and 0.867 (validation) for predicting LOS ≥ 14 days.
  • Key predictors included visceral adipose tissue (VAT) density, visceral obesity, bowel wall thickening, CRP, ESR, and albumin.
  • VAT density was identified as the most influential feature by SHAP analysis.
  • The combined model significantly outperformed imaging-only and clinical-only models.

Conclusions:

  • The developed combined prediction model shows promise for predicting prolonged LOS in UC patients.
  • Visceral adipose tissue (VAT) density is an independent and highly influential predictor of prolonged hospital stay in UC.
  • Integrating CT imaging biomarkers with clinical data enhances prediction accuracy for UC patient outcomes.