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

You might also read

Related Articles

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

Sort by
Same author

Optimal composition of movement behaviours for healthy weight across the lifespan: a one-stage individual participant data meta-analysis of 11 studies.

Research square·2026
Same author

Varroa control strategies of different beekeeper groups and corresponding honey bee colony mortality in Central Europe.

Journal of advanced research·2026
Same author

Advancing eye movement analysis through compositional modeling: A new perspective on Yarbus' classic study.

Behavior research methods·2026
Same author

Batch-dependent safety signal: Nationwide analysis of suspected adverse events following COVID-19 vaccination in Germany.

The International journal of risk & safety in medicine·2026
Same author

FLIPI24: A Modern Prognostic Model and Clinical Trial Enrichment Tool for Newly Diagnosed Follicular Lymphoma.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2025
Same author

Changes in retinal vessel oxygen saturation using automated retinal oximetry in patients with significant carotid stenosis.

Frontiers in neurology·2025

Related Experiment Video

Updated: Jan 18, 2026

Transperineal Prostate Biopsy Using a Cone-shaped Double-hole Method with Dual-plane Probe Guidance
05:35

Transperineal Prostate Biopsy Using a Cone-shaped Double-hole Method with Dual-plane Probe Guidance

Published on: June 6, 2025

1.3K

When less is more: a simple predictive model for repeated prostate biopsy outcomes.

Ondrej Vencalek1, Kamila Facevicova, Tomas Furst

  • 1Dpt. Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacky University in Olomouc, 17. listopadu 12, 772 00 Olomouc, Czech Republic.

Cancer Epidemiology
|October 8, 2013
PubMed
Summary

A new predictive model for repeated prostate biopsy outcomes uses prostate-specific antigen (PSA) levels and transitional zone volume. This simple model accurately identifies patients needing repeat biopsies, reducing unnecessary procedures.

Keywords:
NomogramProstate cancerProstate-specific antigenRepeated biopsyTransitory zone

More Related Videos

Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking
07:34

Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking

Published on: November 17, 2023

1.2K
Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking
05:49

Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking

Published on: October 10, 2019

7.0K

Related Experiment Videos

Last Updated: Jan 18, 2026

Transperineal Prostate Biopsy Using a Cone-shaped Double-hole Method with Dual-plane Probe Guidance
05:35

Transperineal Prostate Biopsy Using a Cone-shaped Double-hole Method with Dual-plane Probe Guidance

Published on: June 6, 2025

1.3K
Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking
07:34

Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking

Published on: November 17, 2023

1.2K
Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking
05:49

Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking

Published on: October 10, 2019

7.0K

Area of Science:

  • Urology
  • Medical Diagnostics
  • Biostatistics

Background:

  • Repeated prostate biopsies are crucial for diagnosing prostate cancer after initial negative results.
  • Existing predictive models often lack practicality due to complexity or limited accessibility.
  • There is a need for a straightforward and reliable tool to guide decisions on repeat prostate biopsies.

Purpose of the Study:

  • To introduce a novel, simplified predictive model for outcomes of repeated prostate biopsies.
  • To address practical challenges associated with selecting appropriate predictive models in clinical practice.
  • To develop a model with minimal explanatory variables and an easily interpretable graphical output.

Main Methods:

  • A retrospective cohort study was conducted with 221 patients undergoing their first repeat prostate biopsy.
  • Data were collected from December 2006 to June 2011 at the University Hospital in Olomouc, Czech Republic.
  • Logistic regression analysis was employed, utilizing prostate-specific antigen (PSA) levels and prostate volume as key parameters.

Main Results:

  • Prostate cancer was diagnosed in 13% (29/221) of patients upon repeat biopsy.
  • The final model, incorporating PSA level and transitional zone volume, achieved 76.4% accuracy.
  • A specific cut-off point (0.0687) demonstrated 95% sensitivity, potentially preventing 42% of unnecessary biopsies.

Conclusions:

  • The developed model's accuracy is comparable to more complex, multi-predictor models.
  • Its reliance on only two routinely measured variables enhances its accessibility for practitioners.
  • The straightforward graphical output further increases the model's clinical utility and appeal.