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

Deep learning-derived pericardial adipose tissue by electrocardiogram-gated cardiac computed tomography predicts cardiovascular events beyond coronary calcium score.

American journal of preventive cardiology·2026
Same author

A call for action: The need to quantify the "-itis" in primary sclerosing cholangitis.

Journal of hepatology·2026
Same author

MRI Deep Learning for Differentiating Glioblastoma, IDH Wild-type from Central Nervous System Diffuse Large B-cell Lymphoma.

Cancer research communications·2026
Same author

EchoAtlas: A Conversational, Multi-View Vision-Language Foundation Model for Echocardiography Interpretation and Clinical Reasoning.

medRxiv : the preprint server for health sciences·2026
Same author

Approach to Patient: Stalk Lesions of the Pituitary Gland.

The Journal of clinical endocrinology and metabolism·2026
Same author

State of the AI: Post-Deployment Monitoring of Radiology-Focused Internally Developed AI.

Mayo Clinic proceedings. Digital health·2026
Same journal

Single-cell spatial landscape of aggrephagy activity stratifies hepatocellular carcinoma neutrophils and delivers a 5-gene diagnostic panel for patient stratification.

Translational oncology·2026
Same journal

Patient stratification in exercise oncology: matching exercise modalities to immune phenotypes to optimize immunotherapy response.

Translational oncology·2026
Same journal

REG4 serves as a prognostic biomarker for pancreatic cancer with long-standing diabetes mellitus by modulating chemoresistance.

Translational oncology·2026
Same journal

Integrated multi-omics and single-cell analysis of galectins and immune associations in triple-negative breast cancer.

Translational oncology·2026
Same journal

DAZAP2, regulated by miR-125b, contributes to inflammation-related non-small cell lung cancer progression.

Translational oncology·2026
Same journal

Single-cell and machine learning-based neural regulation signature for prognosis prediction and immunotherapy response in lung adenocarcinoma.

Translational oncology·2026
See all related articles

Related Experiment Video

Updated: Apr 30, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

1.5K

Multisite Image Data Collection and Management Using the RSNA Image Sharing Network.

Bradley J Erickson1, Patricio Fajnwaks1, Steve G Langer1

  • 1Department of Radiology, Mayo Clinic, Rochester, MN.

Translational Oncology
|April 29, 2014
PubMed
Summary
This summary is machine-generated.

The Clinical Trials Processor (CTP) reliably removes protected health information and transfers images in multisite trials. Consider CTP for efficient image data handling during trial design.

More Related Videos

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy
09:57

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Published on: July 25, 2022

3.8K
Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection
07:42

Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection

Published on: February 24, 2026

775

Related Experiment Videos

Last Updated: Apr 30, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

1.5K
Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy
09:57

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Published on: July 25, 2022

3.8K
Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection
07:42

Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection

Published on: February 24, 2026

775

Area of Science:

  • Clinical research methodology
  • Medical imaging informatics

Background:

  • Multisite clinical trials often involve extensive image data collection.
  • Ensuring patient privacy and data integrity during image transfer is critical.

Purpose of the Study:

  • To evaluate the Clinical Trials Processor (CTP) for its effectiveness in managing imaging data in multisite trials.
  • To highlight CTP's capabilities in de-identification and secure image transfer.

Main Methods:

  • The study focuses on the functionalities of the Clinical Trials Processor (CTP).
  • CTP's role in removing protected health information (PHI) from images was assessed.
  • CTP's reliability in transferring image data to a central review site was examined.

Main Results:

  • CTP demonstrated high reliability in removing protected health information from trial images.
  • CTP provided dependable transfer of images to a central review location.

Conclusions:

  • The Clinical Trials Processor (CTP) is a highly reliable tool for managing imaging data in multisite trials.
  • CTP facilitates secure and efficient handling of de-identified images for central review, recommending its use in trial design.