{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T16:41:13Z","timestamp":1792428073654,"version":"4.5.0"},"reference-count":13,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T00:00:00Z","timestamp":1792368000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T00:00:00Z","timestamp":1792368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging. Inform. med."],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    The aim of this study was to investigate the effects of gadolinium-based contrast agents on cardiac MRI radiomic features across different magnetic field strengths. With Institutional Review Board (IRB) approval, eight healthy volunteers (38.5\u2009\u00b1\u200915.4\u00a0years; 4 males) underwent four consecutive cardiac MRI examinations using a Modified Look-Locker Inversion Recovery (MOLLI) sequence at 1.5T and 3T, with and without two contrast agents, gadopentetate dimeglumine (Gd-DTPA), and gadofosveset trisodium. Radiomic features were extracted from the myocardium and blood pool at the mid-ventricular level of the left ventricle using the first raw MOLLI image, corresponding to the shortest inversion time. Before contrast administration, switching from 1.5 to 3\u00a0T resulted in significant changes in 52% of myocardial and 56% of blood pool radiomic features. Contrast administration further altered radiomic feature values. At 1.5T, Gd-DTPA altered 42% of myocardial and 63% of blood pool features, whereas gadofosveset altered 73% and 85%, respectively. Similar patterns were observed at 3\u00a0T, with gadofosveset producing a greater proportion of altered features than Gd-DTPA (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.05). Blood pool features were generally more sensitive to contrast administration than myocardial features. At 10\u00a0min after contrast administration, significant differences between the two contrast agents were observed in 48% of myocardial and 23% of blood pool features at 1.5T and in 72% and 60%, respectively, at 3\u00a0T. In conclusion, the administration and type of gadolinium-based contrast agents significantly alter cardiac MRI radiomic features across different magnetic field strengths. Future research should prioritize normalization strategies and evaluate feature robustness across larger patient populations to enhance the generalizability of cardiac radiomics.\n                  <\/jats:p>","DOI":"10.1007\/s10278-026-02406-z","type":"journal-article","created":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T16:07:01Z","timestamp":1792426021000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Impact of Field Strength and Contrast Agents on Cardiac MRI Radiomic Features of the Myocardium and Blood Pool"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0540-4077","authenticated-orcid":false,"given":"Kai","family":"Lin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberto","family":"Sarnari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel Z.","family":"Gordon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James C.","family":"Carr","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,10,19]]},"reference":[{"key":"2406_CR1","doi-asserted-by":"publisher","first-page":"488","DOI":"10.2967\/jnumed.118.222893","volume":"61","author":"ME Mayerhoefer","year":"2020","unstructured":"Mayerhoefer ME, Materka A, Langs G et al. Introduction to Radiomics. J Nucl Med 2020;61:488\u2013495.","journal-title":"J Nucl Med"},{"key":"2406_CR2","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1002\/jmri.28572","volume":"58","author":"K Lin","year":"2023","unstructured":"Lin K, Sarnari R, Carr JC, Markl M. Cine MRI-Derived Radiomics Features of the Cardiac Blood Pool: Periodicity, Specificity, and Reproducibility. J Magn Reson Imaging 2023;58:807\u2013814.","journal-title":"J Magn Reson Imaging"},{"key":"2406_CR3","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1161\/CIRCULATIONAHA.123.067107","volume":"150","author":"S Nakamori","year":"2024","unstructured":"Nakamori S, Amyar A, Fahmy AS et al. Cardiovascular Magnetic Resonance Radiomics to Identify Components of the Extracellular Matrix in Dilated Cardiomyopathy. Circulation 2024;150:7\u201318.","journal-title":"Circulation"},{"key":"2406_CR4","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.231269","volume":"310","author":"MA Morales","year":"2024","unstructured":"Morales MA, Manning WJ, Nezafat R. Present and Future Innovations in AI and Cardiac MRI. Radiology 2024;310:e231269.","journal-title":"Radiology"},{"key":"2406_CR5","doi-asserted-by":"crossref","unstructured":"Lin K, Lloyd-Jones DM, Spottiswoode B et al. T1 contrast in the myocardium and blood pool: a quantitative assessment of gadopentetate dimeglumine and gadofosveset trisodium at 1.5 and 3 T. Invest Radiol 2014;49:243\u20138.","DOI":"10.1097\/RLI.0000000000000024"},{"key":"2406_CR6","doi-asserted-by":"publisher","first-page":"1501","DOI":"10.1007\/s10554-024-03131-w","volume":"40","author":"K Lin","year":"2024","unstructured":"Lin K, Sarnari R, Gordon DZ, Markl M, Carr JC. Radiomics features of the cardiac blood pool to indicate hemodynamic changes in pulmonary hypertension (PH) due to heart failure with preserved ejection fraction (PH-HFpEF). The international journal of cardiovascular imaging 2024;40:1501\u20131509.","journal-title":"The international journal of cardiovascular imaging"},{"key":"2406_CR7","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1007\/s10554-023-03007-5","volume":"40","author":"K Lin","year":"2024","unstructured":"Lin K, Sarnari R, Gordon DZ, Markl M, Carr JC. Cine MRI-derived radiomics features indicate hemodynamic changes in the pulmonary artery. Int J Cardiovasc Imaging 2024;40:287\u2013294.","journal-title":"Int J Cardiovasc Imaging"},{"key":"2406_CR8","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2020.541663","volume":"10","author":"S Ammari","year":"2020","unstructured":"Ammari S, Pitre-Champagnat S, Dercle L et al. Influence of Magnetic Field Strength on Magnetic Resonance Imaging Radiomics Features in Brain Imaging, an In Vitro and In Vivo Study. Front Oncol 2020;10:541663.","journal-title":"Front Oncol"},{"key":"2406_CR9","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/s10554-024-03312-7","volume":"41","author":"P Yamlome","year":"2025","unstructured":"Yamlome P, Jordan JH. Effect of magnetic field strength and segmentation variability on the reproducibility and repeatability of radiomic texture features in cardiovascular magnetic resonance parametric mapping. Int J Cardiovasc Imaging 2025;41:325\u2013337.","journal-title":"Int J Cardiovasc Imaging"},{"key":"2406_CR10","doi-asserted-by":"publisher","first-page":"1321","DOI":"10.2967\/jnumed.117.199935","volume":"59","author":"F Orlhac","year":"2018","unstructured":"Orlhac F, Boughdad S, Philippe C et al. A Postreconstruction Harmonization Method for Multicenter Radiomic Studies in PET. J Nucl Med 2018;59:1321\u20131328.","journal-title":"J Nucl Med"},{"key":"2406_CR11","doi-asserted-by":"crossref","unstructured":"Zanardo M, Sardanelli F, Rainford L et al. Technique and protocols for cardiothoracic time-resolved contrast-enhanced magnetic resonance angiography sequences: a systematic review. Clin Radiol 2021;76:156 e9\u2013156 e18.","DOI":"10.1016\/j.crad.2020.08.028"},{"key":"2406_CR12","doi-asserted-by":"crossref","unstructured":"Watzenboeck ML, Beer L, Kifjak D et al. Contrast Agent Dynamics Determine Radiomics Profiles in Oncologic Imaging. Cancers 2024;16.","DOI":"10.3390\/cancers16081519"},{"key":"2406_CR13","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1148\/radiol.2020191145","volume":"295","author":"A Zwanenburg","year":"2020","unstructured":"Zwanenburg A, Vallieres M, Abdalah MA et al. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. Radiology 2020;295:328\u2013338.","journal-title":"Radiology"}],"container-title":["Journal of Imaging Informatics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-026-02406-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-026-02406-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-026-02406-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T16:07:03Z","timestamp":1792426023000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-026-02406-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,19]]},"references-count":13,"alternative-id":["2406"],"URL":"https:\/\/doi.org\/10.1007\/s10278-026-02406-z","relation":{},"ISSN":["2948-2933"],"issn-type":[{"value":"2948-2933","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,19]]},"assertion":[{"value":"7 August 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 September 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 October 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 October 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Northwestern University IRB.","order":1,"name":"Ethics","label":"Ethics Approval","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Written informed consent was obtained from all individual participants included in the study.\u00a0","order":2,"name":"Ethics","label":"Consent to Participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors affirm that human research participants provided informed consent for publication of the related images.","order":3,"name":"Ethics","label":"Consent for Publication","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"James C. Carr has disclosure: Siemens: research grant to institution, advisory board. Bayer: research grant to institution, advisory board, speaker. Bracco: advisory board. Guerbet: research grant to institution. Other authors have nothing to disclose.","order":4,"name":"Ethics","label":"Competing Interests","group":{"name":"EthicsHeading","label":"Declarations"}}]}}