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

Dosage Regimen Designs: Nomograms and Tabulations01:23

Dosage Regimen Designs: Nomograms and Tabulations

72
Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
72

You might also read

Related Articles

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

Sort by
Same author

Fluorine-18-Labeled Nucleotide Analogs Targeting Ecto-5'-Nucleotidase (CD73) for Positron Emission Tomography Imaging of Solid Tumors.

Angewandte Chemie (International ed. in English)·2026
Same author

Continuous tobacco smoking increases mortality in diffuse large B-cell lymphoma but not follicular lymphoma, a Finnish population-based study.

Acta oncologica (Stockholm, Sweden)·2025
Same author

Breast cancer remodels lymphatics in sentinel lymph nodes.

Nature communications·2025
Same author

HSF2 drives breast cancer progression by acting as a stage-specific switch between proliferation and invasion.

Science advances·2025
Same author

Secreted Clever-1 modulates T cell responses and impacts cancer immunotherapy efficacy.

Theranostics·2025
Same author

Macrophage sensitivity to bexmarilimab-induced reprogramming is shaped by the tumor microenvironment.

Journal for immunotherapy of cancer·2025

Related Experiment Video

Updated: Nov 14, 2025

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

500

Are Breast Cancer Nomograms Still Valid to Predict the Need for Axillary Dissection?

Vilma Madekivi1, Antti Karlsson2, Pia Boström3

  • 1Department of Oncology, University of Turku and Turku University Hospital, Turku, Finland, vlmade@utu.fi.

Oncology
|March 10, 2021
PubMed
Summary

This study validates existing breast cancer nomograms for predicting nodal status in node-negative patients. The findings confirm these tools remain accurate for estimating axillary lymph node metastases in external populations.

Keywords:
Axillary lymph node dissectionBreast cancerNomogramsSentinel lymph nodes

More Related Videos

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

328
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.5K

Related Experiment Videos

Last Updated: Nov 14, 2025

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

500
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

328
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.5K

Area of Science:

  • Oncology
  • Surgical Oncology
  • Biostatistics

Background:

  • Nomograms aid in estimating nodal status for clinically node-negative breast cancer patients.
  • The long-term validity of these nomograms in external cohorts is not well-established.
  • Accurate preoperative nodal staging can help decide the necessity of axillary dissection.

Purpose of the Study:

  • To validate three established nomograms for predicting four or more axillary lymph node metastases.
  • To assess the current applicability of existing predictive models in a contemporary patient cohort.

Main Methods:

  • The risk of ≥4 lymph node metastases was assessed in 529 breast cancer patients.
  • Utilized nomograms from Chagpar et al., Katz et al., and Meretoja et al.
  • Evaluated nomogram validity through discrimination (AUC) and calibration analyses.

Main Results:

  • Area Under the Curve (AUC) values were 0.79 (Chagpar), 0.87 (Katz), and 0.82 (Meretoja).
  • All nomograms demonstrated good discrimination between patients with and without high nodal burdens.
  • The models showed continued predictive accuracy in an external patient group.

Conclusions:

  • The study supports the continued use of established breast cancer nomograms.
  • Existing nomograms for predicting nodal burden retain their validity in external populations.
  • These validated tools can aid in clinical decision-making regarding axillary staging.