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However, as with any new technique available to practitioners in routine practice, it is essential to provide clinicians and future users with the validity criteria they need to master for an appropriate interpretation of their results. This pragmatic review is aimed at providing clinicians and future users with a comprehensive understanding of the medical and technical conditions necessary for the accurate interpretation of DTI\u2010derived metrics. Although DTI offers significant potential, its reliability can be influenced by various factors, including previous neurological disorders, acquisition artifacts, and data preprocessing failures. This review highlights the importance of considering classical MRI contraindications and the impact of physiological conditions such as age and the timing of MRI scans. Additionally, it discusses the influence of preexisting neurological disorders and associated lesions on DTI metrics, which can lead to classification biases and prognostication errors. Technical considerations, including the necessity for rigorous quality control and preprocessing steps, are also emphasized to ensure the precision and accuracy of DTI metrics. By addressing these factors, this review is aimed at enhancing the interpretability and clinical utility of DTI in neuroprognostication, ultimately facilitating more informed decision\u2010making for intensive care unit patients. 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