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

Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...

You might also read

Related Articles

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

Sort by
Same author

Association Between Cribriform Architecture and Tertiary Gleason Pattern 5 in Prostate Cancer: A Cross-Sectional Study of Radical Prostatectomy Specimens.

Journal of clinical medicine·2026
Same author

HSD3B1 links ileal steroid metabolism to bile acid regulation in patients with prostate cancer.

The Journal of clinical investigation·2026
Same author

Perioperative Apalutamide in High-Risk Localized Prostate Cancer.

The New England journal of medicine·2026
Same author

Testosterone and docetaxel treatment effect on mortality risk in nonmetastatic high-risk prostate cancer: A predictive biomarker analysis.

Cancer·2026
Same author

Immune Spatial Organization Predicts Distant Metastasis Risk in Aggressive Localized Prostate Cancer.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

Trends in Primary- and Metastasis-Directed Radiotherapy Uptake and Survival in Metastatic Prostate Cancer.

Journal of clinical medicine·2026
Same journal

Noncontrast Abbreviated MRI for Post-TACE Treatment Response Monitoring of Hepatocellular Carcinoma Based on Ancillary Features from LI-RADS.

Radiology·2026
Same journal

Response Evaluation Criteria in Bone Metastases: Performance and Association of Response Classifications with Survival Outcomes.

Radiology·2026
Same journal

Entropy for Prediction of MACEs in Myocarditis: A Cardiac MRI-based Biomarker of Myocardial Tissue Heterogeneity.

Radiology·2026
Same journal

AI for Radiology: A Primer Part II. Interacting with AI Results.

Radiology·2026
Same journal

Hyperdense Capsule Sign at Noncontrast CT as an Indication for Middle Meningeal Artery Embolization for Nonacute Subdural Hematomas: A MAGIC-MT Trial Post Hoc Analysis.

Radiology·2026
Same journal

Sawtooth Cardiomyopathy: The Tiger Heart.

Radiology·2026
See all related articles

Related Experiment Video

Updated: Jun 14, 2026

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator
10:48

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

Published on: December 28, 2017

9.5K

AI-derived Tumor Volume from Multiparametric MRI and Outcomes in Localized Prostate Cancer.

David D Yang1, Leslie K Lee1, James M G Tsui1

  • 1From the Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, 75 Francis St, Boston, MA 02115 (D.D.Y., J.E.L., A.S., C.V.G., K.W.M., N.E.M., P.F.O., P.L.N., A.V.D., K.Y.S., K.N.L., M.T.K.); Departments of Radiology (L.K.L.) and Urology (Q.D.T.), Brigham and Women's Hospital, Boston, Mass; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Ma (H.M.M., M.E.T.); and Department of Radiation Oncology, McGill University, Montreal, Canada (J.M.G.T.).

Radiology
|October 29, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) segmentation of intraprostatic tumor volume (VAI) offers prognostic value in localized prostate cancer. This AI-based method independently predicts metastasis risk in patients treated with radiation therapy or radical prostatectomy.

More Related Videos

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
09:11

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy

Published on: April 9, 2019

21.4K
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

140

Related Experiment Videos

Last Updated: Jun 14, 2026

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator
10:48

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

Published on: December 28, 2017

9.5K
Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
09:11

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy

Published on: April 9, 2019

21.4K
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

140

Area of Science:

  • Oncology
  • Radiology
  • Artificial Intelligence in Medicine

Background:

  • Magnetic resonance imaging (MRI) data can be utilized with artificial intelligence (AI) to measure intraprostatic tumor volume.
  • AI-based tumor volume measurement may offer valuable prognostic information for localized prostate cancer.

Purpose of the Study:

  • To determine if AI-generated intraprostatic tumor volume (VAI) provides independent prognostic information.
  • To evaluate VAI in patients with localized prostate cancer undergoing radiation therapy (RT) or radical prostatectomy (RP).

Main Methods:

  • Retrospective single-center study of 732 patients with cT1-3N0M0 prostate cancer treated with RT or RP (January 2021-August 2023).
  • AI segmentation algorithm trained on MRI data to delineate PI-RADS 3-5 lesions.
  • Cox regression models assessed the association between VAI and time to metastasis, adjusted for clinical and radiologic factors.

Main Results:

  • VAI was significantly associated with metastasis in both the combined RT group (AHR, 1.09; P = .001) and the RP group (AHR, 1.22; P = .001).
  • AI-segmented volume demonstrated superior predictive performance compared to NCCN risk categorization for 7-year metastasis in the RT group (AUC, 0.84 vs 0.74).
  • For the RP group, VAI also showed higher predictive accuracy for 5-year metastasis (AUC, 0.89 vs 0.79).

Conclusions:

  • AI-derived intraprostatic tumor volume (VAI) is an independent prognostic factor in localized prostate cancer.
  • This AI-based approach enhances prediction of metastasis risk following RT or RP.