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

Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

6.0K
Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
6.0K
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.8K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.8K

You might also read

Related Articles

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

Sort by
Same author

Editor's Notebook: November 2024.

AJR. American journal of roentgenology·2025
Same author

Editor's Notebook: September 2024.

AJR. American journal of roentgenology·2025
Same author

Editor's Notebook: October 2024.

AJR. American journal of roentgenology·2025
Same author

Editor's Notebook: December 2024.

AJR. American journal of roentgenology·2025
Same author

Editor's Notebook: April 2025.

AJR. American journal of roentgenology·2025
Same author

Editor's Notebook: February 2025.

AJR. American journal of roentgenology·2025
Same journal

Vessel Wall Imaging in 1.5 T MRI Using Deep Learning Reconstruction: Prospective Evaluation of Interchangeability With Standard 3 T MRI.

Investigative radiology·2026
Same journal

Accelerated Deep-Learning-Based Image Reconstruction for 3D T2 Dark-Fluid in Imaging of Multiple Sclerosis.

Investigative radiology·2026
Same journal

3D Freehand Ultrasound Imaging of Optic Nerve Sheath.

Investigative radiology·2026
Same journal

Iodinated Contrast Media Hypersensitivity in 115,966 Patients: Risk Factors, Severity Profiles, and the Impact of Iodine Concentration on Reaction Risk.

Investigative radiology·2026
Same journal

Improvement of Lung Nodule Volumetric Accuracy with Photon-counting Computed Tomography Over Energy-integrating Computed Tomography in Low-dose Screening: A Phantom Study.

Investigative radiology·2026
Same journal

Photon-counting CT in Anterior Cervical Discectomy and Fusion: Improved Metal Artifact Reduction and Impact on Bone Fusion Assessment.

Investigative radiology·2026
See all related articles

Related Experiment Video

Updated: Mar 7, 2026

How to Study Basement Membrane Stiffness as a Biophysical Trigger in Prostate Cancer and Other Age-related Pathologies or Metabolic Diseases
13:18

How to Study Basement Membrane Stiffness as a Biophysical Trigger in Prostate Cancer and Other Age-related Pathologies or Metabolic Diseases

Published on: September 20, 2016

10.3K

Time-Dependent Diffusion in Prostate Cancer.

Gregory Lemberskiy1, Andrew B Rosenkrantz, Jelle Veraart

  • 1From the *Center for Biomedical Imaging, Department of Radiology, and †Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine; and ‡Division of Urologic Oncology, New York University Langone Medical Center, New York, NY.

Investigative Radiology
|February 11, 2017
PubMed
Summary
This summary is machine-generated.

Varying diffusion time in prostate MRI reveals time-dependent apparent diffusion coefficient (ADC) changes, aiding in prostate cancer grading and improving biomarker development.

More Related Videos

MR Molecular Imaging of Prostate Cancer with a Small Molecular CLT1 Peptide Targeted Contrast Agent
06:54

MR Molecular Imaging of Prostate Cancer with a Small Molecular CLT1 Peptide Targeted Contrast Agent

Published on: September 3, 2013

11.8K
A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
07:25

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer

Published on: March 6, 2018

14.0K

Related Experiment Videos

Last Updated: Mar 7, 2026

How to Study Basement Membrane Stiffness as a Biophysical Trigger in Prostate Cancer and Other Age-related Pathologies or Metabolic Diseases
13:18

How to Study Basement Membrane Stiffness as a Biophysical Trigger in Prostate Cancer and Other Age-related Pathologies or Metabolic Diseases

Published on: September 20, 2016

10.3K
MR Molecular Imaging of Prostate Cancer with a Small Molecular CLT1 Peptide Targeted Contrast Agent
06:54

MR Molecular Imaging of Prostate Cancer with a Small Molecular CLT1 Peptide Targeted Contrast Agent

Published on: September 3, 2013

11.8K
A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
07:25

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer

Published on: March 6, 2018

14.0K

Area of Science:

  • Radiology
  • Biophysics
  • Oncology

Background:

  • Prostate diffusion-weighted MRI (DW-MRI) typically focuses on b-value and diffusion directions.
  • The impact of diffusion time (t) on diffusion coefficient (D) in prostate cancer remains underexplored.

Purpose of the Study:

  • To investigate the time-dependent diffusion coefficient D(t) in prostate cancer.
  • To explore D(t) as a potential new dimension for prostate cancer biomarkers.

Main Methods:

  • 3-T MRI with STEAM DTI was performed on 38 prostate cancer patients.
  • Diffusion times (t) from 20.8 to 350 ms were acquired.
  • Tumors were classified by Gleason score (GS): low (3+3), intermediate (3+4), and high (≥4+3).

Main Results:

  • Apparent diffusion coefficient D(t) decreased with increasing diffusion time (t) in all prostate zones.
  • Shorter diffusion times (t) improved differentiation of tumor grades.
  • Fractional anisotropy (FA) increased with t, with highest FA observed in low-grade (GS 3+3) tumors.

Conclusions:

  • Prostate cancer ADC exhibits measurable time dependence related to tissue type and Gleason score.
  • Optimal selection of diffusion time (t) may enhance tumor grade prediction using ADC.
  • Exploring D(t) offers potential for novel diffusion-derived biomarkers and improved MRI reproducibility.