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To develop a DL model to detect cardiac pathologies on cardiac MRI T1-mapping and late gadolinium phase sensitive inversion recovery (PSIR) sequences were used.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>Subjects in this study were either diagnosed with cardiac pathology (<jats:italic>n<\/jats:italic>\u2009=\u2009137) including acute and chronic myocardial infarction, myocarditis, dilated cardiomyopathy, and hypertrophic cardiomyopathy or classified as normal (<jats:italic>n<\/jats:italic>\u2009=\u200963). Cardiac MR imaging included T1-mapping and PSIR sequences. Subjects were split 65\/15\/20% for training, validation, and hold-out testing. The DL models were based on an ImageNet pretrained DenseNet-161 and implemented using PyTorch and fastai. Data augmentation with random rotation and mixup was applied. Categorical cross entropy was used as the loss function with a cyclic learning rate (1e-3). DL models for both sequences were developed separately using similar training parameters. The final model was chosen based on its performance on the validation set. Gradient-weighted class activation maps (Grad-CAMs) visualized the decision-making process of the DL model.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The DL model achieved a sensitivity, specificity, and accuracy of 100%, 38%, and 88% on PSIR images and 78%, 54%, and 70% on T1-mapping images. Grad-CAMs demonstrated that the DL model focused its attention on myocardium and cardiac pathology when evaluating MR images.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>The developed DL models were able to reliably detect cardiac pathologies on cardiac MR images. The diagnostic performance of T1 mapping alone is particularly of note since it does not require a contrast agent and can be acquired quickly.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12880-024-01217-4","type":"journal-article","created":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T15:02:28Z","timestamp":1707836548000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning"],"prefix":"10.1186","volume":"24","author":[{"given":"Aleksandra M.","family":"Paciorek","sequence":"first","affiliation":[]},{"given":"Claudio E.","family":"von Schacky","sequence":"additional","affiliation":[]},{"given":"Sarah C.","family":"Foreman","sequence":"additional","affiliation":[]},{"given":"Felix G.","family":"Gassert","sequence":"additional","affiliation":[]},{"given":"Florian T.","family":"Gassert","sequence":"additional","affiliation":[]},{"given":"Jan S.","family":"Kirschke","sequence":"additional","affiliation":[]},{"given":"Karl-Ludwig","family":"Laugwitz","sequence":"additional","affiliation":[]},{"given":"Tobias","family":"Geith","sequence":"additional","affiliation":[]},{"given":"Martin","family":"Hadamitzky","sequence":"additional","affiliation":[]},{"given":"Jonathan","family":"Nadjiri","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,13]]},"reference":[{"issue":"8","key":"1217_CR1","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1093\/eurheartj\/ehab892","volume":"43","author":"A Timmis","year":"2022","unstructured":"Timmis A, Vardas P, Townsend N, Torbica A, Katus H, De Smedt D, et al. 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The Institutional Review Board of the ethics committee of the Technical University of Munich waived written informed consent in view of the retrospective nature of the study. The requirement for informed consent was waived by the Ethics Committee of Technical University of Munich because of the retrospective nature of the study. Every process conducted in research involving human subjects conformed to the ethical protocols established by the institutional and national research committees, as well as the principles of the 1964 Helsinki declaration and its later alterations, or any analogous ethical standards.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"43"}}