Items where authors include "Borlotti, A"

Article

Alkhalil, M, Borlotti, A, De Maria, GL et al. (13 more authors) (2020) Hyper-acute cardiovascular magnetic resonance T1 mapping predicts infarct characteristics in patients with ST elevation myocardial infarction. Journal of Cardiovascular Magnetic Resonance, 22 (1). 3. ISSN 1097-6647

Borlotti, A, Jerosch-Herald, M, Liu, D et al. (11 more authors) (2019) Acute Microvascular Impairment Post-Reperfused STEMI Is Reversible and Has Additional Clinical Predictive Value: A CMR OxAMI Study. JACC: Cardiovascular Imaging, 12 (9). pp. 1783-1793. ISSN 1936-878X

Wamil, M, Borlotti, A, Liu, D et al. (12 more authors) (2019) Combined T1-mapping and tissue tracking analysis predicts severity of ischemic injury following acute STEMI—an Oxford Acute Myocardial Infarction (OxAMI) study. International Journal of Cardiovascular Imaging, 35 (7). pp. 1297-1308. ISSN 1569-5794

De Maria, GL, Alkhalil, M, Wolfrum, M et al. (13 more authors) (2019) Index of Microcirculatory Resistance as a Tool to Characterize Microvascular Obstruction and to Predict Infarct Size Regression in Patients With STEMI Undergoing Primary PCI. JACC: Cardiovascular Imaging, 12 (5). pp. 837-848. ISSN 1936-878X

Alkhalil, M, Borlotti, A, De Maria, GL et al. (9 more authors) (2018) Dynamic changes in injured myocardium, very early after acute myocardial infarction, quantified using T1 mapping cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance, 20. ARTN 82. ISSN 1097-6647

De Maria, GL, Alkhalil, M, Borlotti, A et al. (9 more authors) (2018) Index of microcirculatory resistance-guided therapy with pressure-controlled intermittent coronary sinus occlusion improves coronary microvascular function and reduces infarct size in patients with ST-elevation myocardial infarction: the Oxford Acute Myocardial Infarction - Pressure-controlled Intermittent Coronary Sinus Occlusion study (OxAMI-PICSO study). EuroIntervention, 14 (3). e352-e359. ISSN 1774-024X

De Maria, GL, Alkhalil, M, Wolfrum, M et al. (13 more authors) (2017) The ATI score (age-thrombus burden-index of microcirculatory resistance) determined during primary percutaneous coronary intervention predicts final infarct size in patients with ST-elevation myocardial infarction: a cardiac magnetic resonance validation study. EuroIntervention, 13 (8). pp. 935-943. ISSN 1774-024X

Liu, D, Borlotti, A, Viliani, D et al. (16 more authors) (2017) CMR Native T1 Mapping Allows Differentiation of Reversible Versus Irreversible Myocardial Damage in ST-Segment–Elevation Myocardial Infarction. Circulation: Cardiovascular Imaging, 10 (8). ISSN 1941-9651

Proceedings Paper

Alkhalil, M, Borlotti, A, De Maria, GL et al. (9 more authors) (2018) Dynamic changes of injured myocardium very early after acute myocardial infarction quantified using T1 mapping cardiovascular magnetic resonance technique. In: Heart. Joint Meeting of the British-Society-of-Cardiovascular-Imaging/British-Society-of-Cardiovascular-CT, British-Society-of-Cardiovascular-Magnetic-Resonance and British-Nuclear-Cardiac-Society on British Cardiovascular Imaging, 02-04 May 2018, Edinburgh. BMJ Publishing Group , A8-A8.

Raman, B, Ariga, R, Mahmod, M et al. (9 more authors) (2017) Adenosine stress CMR T1 mapping detects impaired perfusion and inducible myocardial ischaemia without gadolinium contrast or ionizing radiation in hypertrophic cardiomyopathy. In: European Heart Journal. ESC Congress 2017, 26-30 Aug 2017. Oxford University Press , p. 1069.

Raman, B, Ariga, R, Mahmod, M et al. (9 more authors) (2017) Adenosine stress T1 mapping: a novel contrast free method to assess myocardial perfusion and ischaemia in hypertrophic cardiomyopathy. In: Heart. 12th BSCMR Annual Meeting, 29 Mar 2017, Manchester, UK. BMJ Publishing Group , A8-A9.

Popescu, IA, Irving, B, Borlotti, A et al. (2 more authors) (2017) Myocardial Scar Quantification Using SLIC Supervoxels - Parcellation Based on Tissue Characteristic Strains. In: STACOM 2016: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. International Workshop on Statistical Atlases and Computational Models of the Heart, 17 Oct 2016, Athens, Greece. Springer , pp. 182-190. ISBN 978-3-319-52717-8