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In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
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The Western Denmark Myocardial Perfusion Imaging Registry: A Review and Validation Study
Jacob Hartmann Søby1, Morten Schmidt1,2, Louise Nissen1
1University Clinic for Cardiovascular Research, Department of Cardiology, Gødstrup Hospital, Herning, Denmark.
Clinical Epidemiology
|December 10, 2024
Summary
The Western Denmark Heart Registry for Myocardial Perfusion Imaging (WDHR-MPI) shows high data completeness and validity. This large dataset supports cardio-epidemiological research potential.
Area of Science:
- Cardiology
- Medical Imaging
- Health Informatics
Background:
- The Western Denmark Heart Registry (WDHR) established a sub-registry (WDHR-MPI) in 2017 for myocardial perfusion imaging (MPI) procedures.
- MPI utilizes single photon emission computed tomography and positron emission tomography.
Purpose of the Study:
- To evaluate the content, quality, and research utility of the WDHR-MPI.
- To assess the completeness and validity of key variables within the WDHR-MPI.
Main Methods:
- Procedure registration completeness was calculated against the Danish National Patient Registry (DNPR).
- Variable completeness was assessed by the proportion of non-missing values for 38 key variables.
- Data validity was determined using positive predictive values (PPV) and negative predictive values (NPV) from 300 patient records.
Main Results:
- 19,084 procedures in 17,871 patients were identified across seven cardiac centers.
- Overall procedure registration completeness increased from 14% in 2017 to 98% in 2021.
- Mean variable completeness was 89%, with high PPV (95%) and NPV (94%) for key variables.
Conclusions:
- The WDHR-MPI represents one of the largest systematic MPI cohorts.
- The registry demonstrates high data completeness and validity.
- These findings support the WDHR-MPI's significant potential for cardio-epidemiological research.
Keywords:
cardiac imagingchronic coronary syndromesdatabaseischemic heart diseaseregistriesvalidation
