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 Experiment Video

Updated: Jun 11, 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

A new formula for prostate cancer lymph node risk.

James B Yu1, Danil V Makarov, Cary Gross

  • 1Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT 06520, USA. james.b.yu@yale.edu

International Journal of Radiation Oncology, Biology, Physics
|July 3, 2010
PubMed
Summary

A new Yale formula (YF) improves prostate cancer lymph node (LN) risk prediction. The YF better identifies patients with high-risk regional lymph node involvement compared to existing Roach and Nguyen formulas.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

QIM26-284: Practice-Level Variation in ECOG Performance Status Documentation in Advanced Non-Small Cell Lung Cancer.

Journal of the National Comprehensive Cancer Network : JNCCN·2026
Same author

Prostate Cancer Imaging Stewardship: a multimodal, physician-centered intervention for guideline-concordant imaging.

Journal of the National Cancer Institute·2025
Same author

Patterns of Outpatient Urinalysis Testing and the Detection of Microscopic Hematuria.

Urology·2025
Same author

Fertility counseling in early-onset colorectal cancer and the impact of patient characteristics.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2025
Same author

SIREN 2025 National Research Meeting: Advancing the Science of Social Care.

Health services research·2025
Same author

Efficacy of a Clinical Decision Support Tool to Promote Guideline-Concordant Evaluations in Patients With High-Risk Microscopic Hematuria: A Cluster Randomized Quality Improvement Project.

The Journal of urology·2025

Area of Science:

  • Urology
  • Oncology
  • Medical Statistics

Background:

  • Accurate estimation of regional lymph node (LN) involvement is crucial for effective prostate cancer treatment.
  • The Roach formula (RF) has been noted to overestimate LN risk.
  • The Nguyen formula (NF) is a modification of the RF using simplified adjustment ratios.

Purpose of the Study:

  • To develop and validate a new formula for predicting lymph node metastasis risk in prostate cancer patients.
  • To compare the performance of the new Yale formula (YF) against the Roach formula (RF) and Nguyen formula (NF).

Main Methods:

  • Utilized the National Cancer Institute Surveillance, Epidemiology, and End Results database (2004-2006).
  • Included patients with radical prostatectomy, at least 10 examined LNs, cT1c or cT2 disease, and prostate-specific antigen (PSA) <26 ng/ml (N = 2,930).

More Related Videos

A New Technique for Treating Low-risk Prostate Cancer&#8212;Super Active Surveillance
05:19

A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance

Published on: November 7, 2025

Enhancing Prostate Tumor Biobanking Reliability with Improved Sampling Technique and Histological Characterization
07:34

Enhancing Prostate Tumor Biobanking Reliability with Improved Sampling Technique and Histological Characterization

Published on: November 17, 2023

Related Experiment Videos

Last Updated: Jun 11, 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

A New Technique for Treating Low-risk Prostate Cancer&#8212;Super Active Surveillance
05:19

A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance

Published on: November 7, 2025

Enhancing Prostate Tumor Biobanking Reliability with Improved Sampling Technique and Histological Characterization
07:34

Enhancing Prostate Tumor Biobanking Reliability with Improved Sampling Technique and Histological Characterization

Published on: November 17, 2023

  • Derived the Yale formula (YF) from a subset (n = 1,460) and validated it on the remaining subset (n = 1,470).

    • Main Results:

    • The Yale formula (YF) demonstrated superior accuracy in predicting lymph node positivity (%LN+).
    • YF showed increased sensitivity (39.0% vs. 13.6%) in identifying high-risk patients (>15% %LN+ risk) compared to NF, with comparable specificity (94.9% vs. 98.8%).
    • The NF was overly restrictive, classifying only 2% of patients as high-risk.

    Conclusions:

    • The Yale formula (YF) outperforms both the Roach formula (RF) and Nguyen formula (NF) in predicting lymph node involvement risk.
    • YF is more effective in differentiating prostate cancer patients at high risk for lymph node metastasis.