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Several studies suggest that radiomics of non-contrast cine balanced steady-state free precession (bSSFP) images allows to detect myocardial infarct patients. Relevant radiomic features vary however without clear knowledge of the underlying causes. Most studies rely on time consuming manual contouring on use end-diastolic images while it was shown that features vary through the heart cycle. In this study we show that radiomics of end-systolic images result in a higher classification accuracy than for end-diastolic images and produce the same result when relying on commercial automated contouring.
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Dresselaers et al. (2024) studied this question.
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