Related Experiment Video

Updated: Jan 23, 2026

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
06:08

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

1.2K

Can We Improve the Preoperative Prediction of Prostate Cancer Recurrence With Multiparametric MRI?

Paolo Capogrosso1, Emily A Vertosick2, Nicole E Benfante2

  • 1Memorial Sloan Kettering Cancer Center, New York, NY; Division of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.

Clinical Genitourinary Cancer
|June 16, 2019
PubMed
Abstract

Insights

Pre-biopsy multiparametric MRI (mpMRI) lesion score did not improve prostate cancer (PCa) recurrence prediction models. Further investigation with larger datasets is needed to confirm the value of mpMRI in preoperative risk assessment for PCa.

Area of Science:

  • Urology
  • Radiology
  • Oncology

Background:

  • Multiparametric magnetic resonance imaging (mpMRI) is increasingly used for prostate cancer (PCa) assessment.
  • Pre-biopsy mpMRI lesion scores are routinely available but their impact on predictive models is unclear.

Purpose of the Study:

  • To evaluate if preoperative mpMRI lesion score enhances the performance of established predictive models for PCa recurrence.
  • To assess the association between mpMRI scores and biochemical recurrence risk after radical prostatectomy.

Main Methods:

  • Analysis of 372 PCa patients treated with radical prostatectomy (2012-2017) with pre-biopsy mpMRI.
  • Standardized 5-point scoring of suspicious mpMRI lesions.
  • Cox regression analysis to assess mpMRI score association with recurrence, using Kattan and D'Amico models.

Main Results:

  • 53% and 30% of patients had lesions scored 4 or 5, respectively.
  • mpMRI score showed a wide range of 2-year recurrence risk (5% for score 1-2 vs. 29% for score 5).
  • Adjusted hazard ratios for scores 3, 4, and 5 were 1.66, 1.96, and 2.71, but confidence intervals were wide and included 1.

Conclusions:

  • Preoperative mpMRI lesion score did not significantly improve commonly used PCa risk prediction models.
  • The utility of pre-biopsy mpMRI in refining preoperative risk stratification warrants further study in larger cohorts.
Keywords:
MRIPSAPredictive toolProstate cancerRecurrence

More Related Videos

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy09:11

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy

Published on: April 9, 2019

22.3K
Focal Laser Ablation of Prostate Cancer: An Office Procedure11:07

Focal Laser Ablation of Prostate Cancer: An Office Procedure

Published on: March 30, 2021

8.4K

Related Concept Videos

Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries
45.5K
Prediction Intervals01:03

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.3K
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
1.2K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
1.2K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
10.4K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
838