Key result
Statistical quality assurance systems identify 50 potential quality-relevant changes in LV parameters over a decade.
Why the study?
CMR examinations require standardization for reproducible results, and industry-style quality control methods like statistical detection of long-time measurement drifts could be of essential value.
Observational (n=20,337)
No
Statistical quality assurance systems based on moving average control charts can detect long-term drifts in quantitative CMR parameters, highlighting the need for prospective quality control in clinical imaging.
Supports use of moving average charts for CMR quality monitoring; hypothesis-generating and needs prospective validation before changing practice.
Cardiac magnetic resonance (CMR) examinations require standardization to achieve reproducible results. Therefore, quality control as known as in other industries such as in-vitro diagnostics, could be of essential value. One such method is the statistical detection of long-time drifts of clinically relevant measurements. Starting in 2010, reports from all CMR examinations of a high-volume center were stored in a hospital information system. Quantitative parameters of the left ventricle were analyzed over time with moving averages of different window sizes. Influencing factors on the acquisition and on the downstream analysis were captured. 26,902 patient examinations were exported from the clinical information system. The moving median was compared to predefined tolerance ranges, which revealed an overall of 50 potential quality relevant changes ("alerts") in SV, EDV and LVM. Potential causes such as change of staff, scanner relocation and software changes were found not to be causal of the alerts. No other influencing factors were identified retrospectively. Statistical quality assurance systems based on moving average control charts may provide an important step towards reliability of quantitative CMR. A prospective evaluation is needed for the effective root cause analysis of quality relevant alerts.
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Riazy et al. (2023) conducted an observational in Cardiovascular Magnetic Resonance (CMR) examinations (n=20,337). Moving median control charts vs. Predefined tolerance ranges was evaluated on Potential quality relevant changes ('alerts') in SV, EDV and LVM. Statistical quality assurance systems based on moving average control charts identified 50 potential quality relevant changes in left ventricular parameters over a 10-year period.
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