Ultra Low Dose CT for CACS and AC of SPECT

其他：Standard dose CT, Ultra-low dose CT

Standard dose non-contrast enhanced CT (clinically indicated) and Ultra low dose non-contrast enhanced CT (as part of the trial)

设备：Ultra low dose non-contrast enhanced CT

Non-contrast enhanced CT for CACS and AC using a novel protocol for ultra low dose radiation dose exposure

设备：Standard dose non-contrast enhanced CT

Clinically indicated non-contrast enhanced CT for CACS and AC according to routine protocol

Agreement and Correlation of Coronary Artery Calcium Score Obtained From Ultra-low-dose and Standard CT

CAC and BA limits of agreement between coronary artery calcium score obtained from ultra-low-dose and standard CT.

Coronary artery calcium (CAC) is a measure for quantification of coronary artery calcification based on non-contrast enhanced CT, ranging from 0 (no calcifications) to infinite. It is an arbitrary unit. Increasing CAC means higher amounts of coronary artery calcifications and is associated with worse prognosis.

Bland-Altman (BA) analysis is a statistical method to compare two modalities or techniques assessing the same measure. Limits of agreement is defined as +/- twice the standard deviation of the differences between the reference method and the new modality/technique. Broader limits of agreement mean less accurate results obtained by the new modality/techniqe, while a 0 BA limit of agreement would theoretically reflect perfect agreement.

Intra-class Correlation Coefficient Between Segmental Relative Tracer Uptake From SPECT Datasets Reconstructed With AC Maps Based on Ultra-Low-Dose and Standard Dose CT

For every patient, the CT images from 120 and 70 kVp-CT scans were used to create CTAC maps which were then used to reconstruct SPECT images, displayed as a 17-segment model polar plot with normalized percent tracer uptake given for every segment. Intra-class correlation was then applied to compare segmental relative tracer uptake. Analysis and the resulting correlation coefficient of 0.987 basically demonstrates interchangeability between the two datasets.