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 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...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

You might also read

Related Articles

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

Sort by
Same author

Evaluating Osteoarthritis Management Programs: outcome domain recommendations from the OARSI Joint Effort Initiative.

Osteoarthritis and cartilageĀ·2023
Same author

Perspectives on joint EANM/SNMMI/ANZSNM practice guidelines/procedure standards for [<sup>18</sup>F]FDG PET/CT imaging during immunomodulatory treatments in patients with solid tumors.

Cancer imaging : the official publication of the International Cancer Imaging SocietyĀ·2022
Same author

The patient enablement instrument for back pain: reliability, content validity, construct validity and responsiveness.

Health and quality of life outcomesĀ·2021
Same author

Diabetic foot ulcer incidence and survival with improved diabetic foot services: an 18-year study.

Diabetic medicine : a journal of the British Diabetic AssociationĀ·2019
Same author

A comparison of drug substance predicted chemical stability with ICH compliant stability studies.

Drug development and industrial pharmacyĀ·2018
Same author

Implementing an electronic clinical handover system in a university teaching hospital.

Irish journal of medical scienceĀ·2017

Related Experiment Video

Updated: Jul 27, 2026

Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics

Published on: January 8, 2018

Centralized Clinical Trial Imaging Data Management: Practical Guidance from a Comprehensive Cancer Center's

Brandon Lee1, A Abbott2, S Davidson3

  • 1Department of Imaging and Center for Biomedical Imaging in Oncology, Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA, 02215, USA. Brandon_Lee1@dfci.harvard.edu.

Journal of Digital Imaging
|December 20, 2018
PubMed
Summary

Properly managed medical imaging data is crucial for accurate clinical trial results. Centralized data management ensures quality, consistency, and timely delivery of imaging data to sponsors.

Keywords:
Clinical trial and imaging data managementImaging de-identificationQuality improvementRelational databaseWeb formWorkflow

More Related Videos

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Related Experiment Videos

Last Updated: Jul 27, 2026

Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics

Published on: January 8, 2018

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Area of Science:

  • Clinical research
  • Medical imaging analysis
  • Data management in healthcare

Background:

  • Medical imaging is essential for clinical trials, requiring meticulous management for accurate and timely data delivery.
  • Standardized workflows are critical for high-quality clinical trial data management, minimizing protocol deviations and data transfer delays.

Purpose of the Study:

  • To describe the practical implementation of a centralized clinical trial imaging data management process.
  • To prevent task fragmentation across multiple research centers and staff.
  • To ensure the delivery of quality, accurate, and timely imaging data to clinical trial sponsors.

Main Methods:

  • Centralization of medical imaging data management.
  • Implementation of relational databases for data storage and retrieval.
  • Establishment of electronic workflows for standardized processes.

Main Results:

  • Improved consistency and accuracy of imaging data.
  • Reduced number of imaging protocol deviations.
  • Avoidance of delays in data transfer to sponsors.

Conclusions:

  • Centralized clinical trial imaging data management enhances data quality and efficiency.
  • Standardized electronic workflows and relational databases are key to successful implementation.
  • This approach ensures reliable imaging data crucial for clinical trial success.