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 III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

760
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...
760
Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

775
Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
775

You might also read

Related Articles

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

Sort by
Same author

(Cost-)effectiveness of focal therapy versus radical therapy (standard of care) in the treatment of men with intermediate-risk prostate cancer: study protocol for the ENFORCE focal randomised controlled trial.

BMJ open·2026
Same author

Chimeric antigen receptor-natural killer cell therapy in first-relapse epithelial ovarian cancer: an early health-economic evaluation in the Netherlands.

Cytotherapy·2026
Same author

Diagnostic Performance of FAPI PET in Patients with Breast Cancer: A Systematic Review.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2026
Same author

Biopsy with same-session MRI-guided laser interstitial thermal therapy versus biopsy alone in patients with primary unresectable glioblastoma: a multicentre randomised controlled trial.

The Lancet regional health. Europe·2026
Same author

Mapping the mRS Into the EQ-5D-5L in Patients With Ischemic Stroke.

Stroke·2026
Same author

Leveraging the Potential of Ultra-High Resolution Photon Counting Detector CT Angiography of the Cerebral Vasculature by Using Low kVp and Sharp Kernels.

Investigative radiology·2026

Related Experiment Video

Updated: Apr 12, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

1.1K

Cost-effectiveness modelling in diagnostic imaging: a stepwise approach.

Anna M Sailer1,2, Wim H van Zwam3, Joachim E Wildberger3

  • 1Department of Radiology, Maastricht University Medical Center, P.O. Box 5800, P.Debyelaan 25, Maastricht, 6202 AZ, The Netherlands. anni.sailer@mumc.nl.

European Radiology
|May 25, 2015
PubMed
Summary
This summary is machine-generated.

Diagnostic imaging (DI) influences healthcare costs and decisions. This study offers a framework and six-step method for cost-effectiveness analysis (CEA) in DI, aiding radiologists in research and practice.

Keywords:
Cost EffectivenessDecision ModellingDiagnostic ImagingEconomicsTechnology Assessment

More Related Videos

Dynamic Contrast Enhanced Magnetic Resonance Imaging of an Orthotopic Pancreatic Cancer Mouse Model
06:24

Dynamic Contrast Enhanced Magnetic Resonance Imaging of an Orthotopic Pancreatic Cancer Mouse Model

Published on: April 18, 2015

15.9K
Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.8K

Related Experiment Videos

Last Updated: Apr 12, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

1.1K
Dynamic Contrast Enhanced Magnetic Resonance Imaging of an Orthotopic Pancreatic Cancer Mouse Model
06:24

Dynamic Contrast Enhanced Magnetic Resonance Imaging of an Orthotopic Pancreatic Cancer Mouse Model

Published on: April 18, 2015

15.9K
Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.8K

Area of Science:

  • Radiology and Medical Imaging
  • Health Economics
  • Decision Analysis

Background:

  • Diagnostic imaging (DI) is a rapidly expanding area of medical expenditure.
  • DI plays a crucial role in clinical decision-making.
  • The proliferation of new imaging technologies necessitates robust cost-effectiveness analysis (CEA).

Purpose of the Study:

  • To present a comprehensive framework for conducting CEA in diagnostic imaging.
  • To outline a practical, six-step methodology for decision analytic modeling in DI.
  • To equip radiologists with the skills to perform and interpret CEA.

Main Methods:

  • Development of a framework detailing direct and indirect effects for CEA in DI.
  • Explanation of decision analytic modeling methodology in six distinct steps.
  • Practical demonstration of CEA principles for clinical research application.

Main Results:

  • A structured approach to CEA in DI, applicable across all imaging modalities.
  • A clear, step-by-step guide for implementing cost-effectiveness modeling.
  • Enhanced understanding and application of CEA for radiologists.

Conclusions:

  • Diagnostic imaging significantly impacts medical decisions, costs, and health outcomes.
  • A comprehensive framework for CEA in DI is established.
  • A six-step methodology for cost-effectiveness modeling is proposed for practical use.