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

Pleural Effusion II: Symptoms and Management01:28

Pleural Effusion II: Symptoms and Management

989
Pleural Effusion Overview
A pleural effusion is the abnormal collection of fluid between the parietal and visceral pleura layers of tissue that form the lining of the lungs and chest cavity. It can occur independently or due to surrounding parenchymal diseases, such as infection, malignancy, or inflammatory conditions.
Clinical Manifestations:
989
Pleural Effusion I: Introduction01:25

Pleural Effusion I: Introduction

5.3K
Pleural effusion is an abnormal fluid accumulation in the pleural cavity, a narrow space between the lungs and the chest wall. It is not a disease per se but rather a symptom or indication of an underlying disease. In normal circumstances, this space contains a small amount of fluid (5 to 15 mL), a lubricant facilitating the non-frictional movement of the pleural surfaces.
There are two main types of pleural effusion: transudative and exudative. They are differentiated using Light's...
5.3K

You might also read

Related Articles

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

Sort by
Same author

Prognostic indicators of acute transverse myelitis in 39 children.

Pediatric neurology·2013
Same author

Comparison of hepatitis B prophylactic outcomes in living donor liver transplantation recipients who meet the Milan or UCSF criteria.

Hepatobiliary & pancreatic diseases international : HBPD INT·2013
Same author

Structural basis of PP2A activation by PTPA, an ATP-dependent activation chaperone.

Cell research·2013
Same author

An effective retro-cycloaddition of M3N@C80 (M = Sc, Lu, Ho) metallofulleropyrrolidines.

Chemical communications (Cambridge, England)·2013
Same author

Dibutyl phthalate-induced neurotoxicity in the brain of immature and mature rat offspring.

Brain & development·2013
Same author

The graft polymers from different species of lignin and acrylic acid: synthesis and mechanism study.

International journal of biological macromolecules·2013

Related Experiment Video

Updated: Mar 19, 2026

Implantation and Monitoring by PET/CT of an Orthotopic Model of Human Pleural Mesothelioma in Athymic Mice
07:54

Implantation and Monitoring by PET/CT of an Orthotopic Model of Human Pleural Mesothelioma in Athymic Mice

Published on: December 21, 2019

7.4K

Development and multicenter validation of a predictive model for malignant pleural effusion recurrence.

Xin Hu1, Yongjie Jiang1,2, Yiluo Heibi3

  • 1Department of Respiratory and Critical Care Medicine, Inflammations & Allergic Diseases Research Unit, The Affiliated Hospital of Southwest Medical University, Luzhou, China.

Iscience
|March 18, 2026
PubMed
Summary

Predicting malignant pleural effusion (MPE) recurrence in lung cancer patients within 3 months is now possible. A new machine learning model uses routine clinical data to accurately identify high-risk patients for better management.

Keywords:
health scienceshealth technologymedical specialtymedicineoncology

More Related Videos

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

995
Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors
03:05

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors

Published on: February 16, 2024

1.6K

Related Experiment Videos

Last Updated: Mar 19, 2026

Implantation and Monitoring by PET/CT of an Orthotopic Model of Human Pleural Mesothelioma in Athymic Mice
07:54

Implantation and Monitoring by PET/CT of an Orthotopic Model of Human Pleural Mesothelioma in Athymic Mice

Published on: December 21, 2019

7.4K
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

995
Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors
03:05

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors

Published on: February 16, 2024

1.6K

Area of Science:

  • Oncology
  • Medical Informatics
  • Pulmonology

Background:

  • Malignant pleural effusion (MPE) recurrence significantly impacts lung cancer patient management.
  • Accurate prediction of MPE recurrence is crucial for timely therapeutic adjustments.

Purpose of the Study:

  • To develop and validate a machine learning model for predicting 3-month MPE recurrence risk in lung cancer.
  • To create a practical tool for stratifying patients based on recurrence risk.

Main Methods:

  • Utilized Elastic Net machine learning model trained on data from 221 lung cancer patients.
  • Validated the model using external cohorts totaling 237 patients.
  • Model based on four routine clinical features: treatment regimen, alanine aminotransferase, total pleural effusion volume, and tumor diameter.

Main Results:

  • Achieved excellent predictive performance with Area Under the Curve (AUC) of 0.848 and 0.940 in external validation.
  • The developed model significantly outperformed other machine learning approaches.
  • An interactive risk stratification tool was created, classifying patients into four risk groups.

Conclusions:

  • The developed machine learning model accurately predicts 3-month MPE recurrence risk in lung cancer patients.
  • The risk stratification tool enables early identification and individualized management of high-risk individuals.
  • This practical and generalizable solution aids clinical decision-making for MPE management.