New Imaging Signatures of Cardiac Alterations in Ischaemic Heart Disease and Cerebrovascular Disease Using CMR Radiomics
Background: Ischaemic heart disease (IHD) and cerebrovascular disease are two closely inter-related clinical entities. Cardiovascular magnetic resonance (CMR) radiomics may capture subtle cardiac changes associated with these two diseases providing new insights into the brain-heart interactions.Obje...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-09-01
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| Series: | Frontiers in Cardiovascular Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2021.716577/full |
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| author | Elisa Rauseo Elisa Rauseo Cristian Izquierdo Morcillo Zahra Raisi-Estabragh Zahra Raisi-Estabragh Polyxeni Gkontra Nay Aung Nay Aung Karim Lekadir Steffen E. Petersen Steffen E. Petersen Steffen E. Petersen Steffen E. Petersen |
| author_facet | Elisa Rauseo Elisa Rauseo Cristian Izquierdo Morcillo Zahra Raisi-Estabragh Zahra Raisi-Estabragh Polyxeni Gkontra Nay Aung Nay Aung Karim Lekadir Steffen E. Petersen Steffen E. Petersen Steffen E. Petersen Steffen E. Petersen |
| author_sort | Elisa Rauseo |
| collection | DOAJ |
| description | Background: Ischaemic heart disease (IHD) and cerebrovascular disease are two closely inter-related clinical entities. Cardiovascular magnetic resonance (CMR) radiomics may capture subtle cardiac changes associated with these two diseases providing new insights into the brain-heart interactions.Objective: To define the CMR radiomics signatures for IHD and cerebrovascular disease and study their incremental value for disease discrimination over conventional CMR indices.Methods: We analysed CMR images of UK Biobank's subjects with pre-existing IHD, ischaemic cerebrovascular disease, myocardial infarction (MI), and ischaemic stroke (IS) (n = 779, 267, 525, and 107, respectively). Each disease group was compared with an equal number of healthy controls. We extracted 446 shape, first-order, and texture radiomics features from three regions of interest (right ventricle, left ventricle, and left ventricular myocardium) in end-diastole and end-systole defined from segmentation of short-axis cine images. Systematic feature selection combined with machine learning (ML) algorithms (support vector machine and random forest) and 10-fold cross-validation tests were used to build the radiomics signature for each condition. We compared the discriminatory power achieved by the radiomics signature with conventional indices for each disease group, using the area under the curve (AUC), receiver operating characteristic (ROC) analysis, and paired t-test for statistical significance. A third model combining both radiomics and conventional indices was also evaluated.Results: In all the study groups, radiomics signatures provided a significantly better disease discrimination than conventional indices, as suggested by AUC (IHD:0.82 vs. 0.75; cerebrovascular disease: 0.79 vs. 0.77; MI: 0.87 vs. 0.79, and IS: 0.81 vs. 0.72). Similar results were observed with the combined models. In IHD and MI, LV shape radiomics were dominant. However, in IS and cerebrovascular disease, the combination of shape and intensity-based features improved the disease discrimination. A notable overlap of the radiomics signatures of IHD and cerebrovascular disease was also found.Conclusions: This study demonstrates the potential value of CMR radiomics over conventional indices in detecting subtle cardiac changes associated with chronic ischaemic processes involving the brain and heart, even in the presence of more heterogeneous clinical pictures. Radiomics analysis might also improve our understanding of the complex mechanisms behind the brain-heart interactions during ischaemia. |
| first_indexed | 2024-12-18T00:37:07Z |
| format | Article |
| id | doaj.art-233b91e9d5514f1d8bc405f32b342241 |
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| issn | 2297-055X |
| language | English |
| last_indexed | 2024-12-18T00:37:07Z |
| publishDate | 2021-09-01 |
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| series | Frontiers in Cardiovascular Medicine |
| spelling | doaj.art-233b91e9d5514f1d8bc405f32b3422412022-12-21T21:26:58ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2021-09-01810.3389/fcvm.2021.716577716577New Imaging Signatures of Cardiac Alterations in Ischaemic Heart Disease and Cerebrovascular Disease Using CMR RadiomicsElisa Rauseo0Elisa Rauseo1Cristian Izquierdo Morcillo2Zahra Raisi-Estabragh3Zahra Raisi-Estabragh4Polyxeni Gkontra5Nay Aung6Nay Aung7Karim Lekadir8Steffen E. Petersen9Steffen E. Petersen10Steffen E. Petersen11Steffen E. Petersen12William Harvey Research Institute, National Institute for Health Research Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, United KingdomBarts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service Trust, London, United KingdomDepartament de Matematiques i Informatica, Universitat de Barcelona, Artificial Intelligence in Medicine Lab, Barcelona, SpainWilliam Harvey Research Institute, National Institute for Health Research Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, United KingdomBarts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service Trust, London, United KingdomDepartament de Matematiques i Informatica, Universitat de Barcelona, Artificial Intelligence in Medicine Lab, Barcelona, SpainWilliam Harvey Research Institute, National Institute for Health Research Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, United KingdomBarts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service Trust, London, United KingdomDepartament de Matematiques i Informatica, Universitat de Barcelona, Artificial Intelligence in Medicine Lab, Barcelona, SpainWilliam Harvey Research Institute, National Institute for Health Research Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, United KingdomBarts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service Trust, London, United KingdomHealth Data Research UK, London, United KingdomAlan Turing Institute, London, United KingdomBackground: Ischaemic heart disease (IHD) and cerebrovascular disease are two closely inter-related clinical entities. Cardiovascular magnetic resonance (CMR) radiomics may capture subtle cardiac changes associated with these two diseases providing new insights into the brain-heart interactions.Objective: To define the CMR radiomics signatures for IHD and cerebrovascular disease and study their incremental value for disease discrimination over conventional CMR indices.Methods: We analysed CMR images of UK Biobank's subjects with pre-existing IHD, ischaemic cerebrovascular disease, myocardial infarction (MI), and ischaemic stroke (IS) (n = 779, 267, 525, and 107, respectively). Each disease group was compared with an equal number of healthy controls. We extracted 446 shape, first-order, and texture radiomics features from three regions of interest (right ventricle, left ventricle, and left ventricular myocardium) in end-diastole and end-systole defined from segmentation of short-axis cine images. Systematic feature selection combined with machine learning (ML) algorithms (support vector machine and random forest) and 10-fold cross-validation tests were used to build the radiomics signature for each condition. We compared the discriminatory power achieved by the radiomics signature with conventional indices for each disease group, using the area under the curve (AUC), receiver operating characteristic (ROC) analysis, and paired t-test for statistical significance. A third model combining both radiomics and conventional indices was also evaluated.Results: In all the study groups, radiomics signatures provided a significantly better disease discrimination than conventional indices, as suggested by AUC (IHD:0.82 vs. 0.75; cerebrovascular disease: 0.79 vs. 0.77; MI: 0.87 vs. 0.79, and IS: 0.81 vs. 0.72). Similar results were observed with the combined models. In IHD and MI, LV shape radiomics were dominant. However, in IS and cerebrovascular disease, the combination of shape and intensity-based features improved the disease discrimination. A notable overlap of the radiomics signatures of IHD and cerebrovascular disease was also found.Conclusions: This study demonstrates the potential value of CMR radiomics over conventional indices in detecting subtle cardiac changes associated with chronic ischaemic processes involving the brain and heart, even in the presence of more heterogeneous clinical pictures. Radiomics analysis might also improve our understanding of the complex mechanisms behind the brain-heart interactions during ischaemia.https://www.frontiersin.org/articles/10.3389/fcvm.2021.716577/fullcardiovascular magnetic resonanceradiomicsischaemic heart diseasemyocardial infarctioncerebrovascular diseasestroke |
| spellingShingle | Elisa Rauseo Elisa Rauseo Cristian Izquierdo Morcillo Zahra Raisi-Estabragh Zahra Raisi-Estabragh Polyxeni Gkontra Nay Aung Nay Aung Karim Lekadir Steffen E. Petersen Steffen E. Petersen Steffen E. Petersen Steffen E. Petersen New Imaging Signatures of Cardiac Alterations in Ischaemic Heart Disease and Cerebrovascular Disease Using CMR Radiomics Frontiers in Cardiovascular Medicine cardiovascular magnetic resonance radiomics ischaemic heart disease myocardial infarction cerebrovascular disease stroke |
| title | New Imaging Signatures of Cardiac Alterations in Ischaemic Heart Disease and Cerebrovascular Disease Using CMR Radiomics |
| title_full | New Imaging Signatures of Cardiac Alterations in Ischaemic Heart Disease and Cerebrovascular Disease Using CMR Radiomics |
| title_fullStr | New Imaging Signatures of Cardiac Alterations in Ischaemic Heart Disease and Cerebrovascular Disease Using CMR Radiomics |
| title_full_unstemmed | New Imaging Signatures of Cardiac Alterations in Ischaemic Heart Disease and Cerebrovascular Disease Using CMR Radiomics |
| title_short | New Imaging Signatures of Cardiac Alterations in Ischaemic Heart Disease and Cerebrovascular Disease Using CMR Radiomics |
| title_sort | new imaging signatures of cardiac alterations in ischaemic heart disease and cerebrovascular disease using cmr radiomics |
| topic | cardiovascular magnetic resonance radiomics ischaemic heart disease myocardial infarction cerebrovascular disease stroke |
| url | https://www.frontiersin.org/articles/10.3389/fcvm.2021.716577/full |
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