Related Experiment Video

Updated: Nov 5, 2025

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

306

Correction: Comparative performance of lung cancer risk models to define lung screening eligibility in the United

Hilary A Robbins1, Karine Alcala2, Anthony J Swerdlow3

  • 1International Agency for Research on Cancer, Lyon, France. robbinsh@iarc.fr.

British Journal of Cancer
|May 18, 2021
PubMed
Abstract

No abstract available in PubMed .

More Related Videos

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
08:14

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening

Published on: October 26, 2017

15.9K
Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
07:56

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

Published on: November 11, 2020

4.5K

Related Experiment Videos

Last Updated: Nov 5, 2025

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

306
MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
08:14

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening

Published on: October 26, 2017

15.9K
Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
07:56

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

Published on: November 11, 2020

4.5K

Related Concept Videos

Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

666
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
666

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

Recommendations of the American Cancer Society workshop on design, conduct, analysis, and reporting of multicancer early detection trials with late-stage incidence end points and post-trial ongoing evaluation-The Peachtree Consensus.

Cancer·2026

Structured triage of incidental findings in lung cancer screening: Outcomes from a UK programme.

Lung cancer (Amsterdam, Netherlands)·2026

Social support and country-level factors associated with cancer screening participation in 18 European countries: a multilevel analysis of the European Health Interview Survey.

Archives of public health = Archives belges de sante publique·2026

Education and training in low-dose CT lung cancer screening across Europe: a survey study.

Insights into imaging·2026

Recruitment strategies for lung cancer screening; a randomised trial in the 4-IN-THE-LUNG-RUN study.

Lung cancer (Amsterdam, Netherlands)·2026

Performance of Lung Cancer Risk Prediction Models in Different Racial and Ethnic Groups in the United States: Results From the Lung Cancer Cohort Consortium.

Annals of internal medicine·2026

LAIR1 suppresses phagocytosis via SHP2/USP22-mediated MYH9 degradation in glioma-associated microglia/macrophages to drive immunosuppression.

British journal of cancer·2026

Trends in incidence and prevalence of patients living long-term with de novo metastatic incurable cancer: a retrospective cohort study.

British journal of cancer·2026

Integrated spatial and single-cell transcriptomics uncover IFI6⁺ regulatory T-cells and SPP1⁺ macrophages immunosuppressive niches in colorectal cancer.

British journal of cancer·2026

Clinical significance of circulating macrophage markers across different stages of prostate cancer: highlighting soluble CD163.

British journal of cancer·2026

Abundant CD8+ tumor-infiltrating lymphocytes in glioblastoma harbor distinct exhaustion signatures in potentially reactive subsets.

British journal of cancer·2026

From initial complete response to recurrence: ENPP1 mutation drives cisplatin resistance through STING/NF-κB/IL-6 axis in hypopharyngeal squamous cell carcinoma.

British journal of cancer·2026
See all related articles
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
Jove
Visualize
Contact Us