The quantity of data that is currently produced in everyday life and practically in every sector, is...
Imaging and Radiotherapy
Senior Clinical Lecturer at Queen Mary University of London, London (UK)
Education and Academic Background
Alexia Rossi qualified from Medical School of University of Trieste in 20014. She was awarded her certificate of completion of specialty training in Diagnostic Imaging in 2008. She spent the next four years at the Thoraxcentre/Erasmus MC University Medical Centre Rotterdam (the Netherlands) where she received her PhD in 2013 entitled “Quantification in non-invasive cardiac imaging: CT and MR”.
In April 2014, she was awarded a Training Grant by the European Society of Cardiology (ESC) which gave her the opportunity to move to London. In London she worked as a post-doctoral clinical research fellow at the Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute (WHRI) at the Barts Heart Centre for three years.
Since May 2017, she has been working as assistant professor in Diagnostic Imaging and Radiotherapy at Humanitas University.
Scientific and Research Interests
Her main clinical and academic interests are to broaden applications of four- dimensional CT in clinical practice and to investigate novel non-invasive imaging tests to detect cardiovascular disease. Future research projects will include radiomics and artificial intelligence applied to the cardiovascular field.
Dr. Alexia Rossi is author or co-author of 58 scientific manuscripts cited in PubMed. She has a h-index of 18 (Scopus).
- Rossi A, Wragg A, Klotz E, Pirro F, Moon JC, Nieman K, Pugliese F. Dynamic CT myocardial perfusion imaging: comparison of clinical analysis methods for the detection of vessel-specific ischaemia (2017) Circulation Cardiovascular Imaging; doi: 10.1161/CIRCIMAGING.116.005505. [Epub ahead of print]
- Coenen A, Rossi A, Lubbers MM, Kurata A, Kono AK, Chelu RG, Segreto S, Dijkshoorn ML, Wragg A, van Geuns RM, Pugliese F, Nieman K. Integrating CT Myocardial Perfusion and CT-FFR in the Work-Up of Coronary Artery Disease (2017) JACC Cardiovasc Imaging; doi: 10.1016/j.jcmg.2016.09.028. [Epub ahead of print]
- Rossi A, Dharampal A, Wragg A, Ceri Davies L, van Geuns RJ, Anagnostopoulos, Klotz E, Kitslaar P, Broersen A, Mathur A, Nieman K, Hunink MG, de Feyter, PJ, Petersen SE, Pugliese F. Diagnostic performance of hyperaemic myocardial blood flow index obtained by dynamic computed tomography: does it predict functionally significant coronary lesions? (2014) European Heart Journal Cardiovascular Imaging 15 (1): 85-94
- Rossi A, Papadopoulou SL, Pugliese F, Russo B, Dharampal AS, Dedic A, Kitslaar PH, Broersen A, Meijboom WB, van Geuns RJ, Wragg A, Ligthart J, Schultz C, Petersen SE, Nieman K, Krestin GP, de Feyter PJ. Quantitative CT Coronary Angiography: Does It Predict Functionally Significant Coronary Stenoses? (2014) Circulation Cardiovascular Imaging. 7 (1): 43-51
- Rossi A, Uitterdijk A, Dijkshoorn M, Klotz E, Dharampal A, van Straten M, van der Giessen WJ, Mollet N, van Geuns RJ, Krestin GP, Duncker DJ, de Feyter PJ, Merkus D. Quantification of myocardial blood flow by adenosine-stress CT perfusion imaging in pigs during various degrees of stenosis correlates well with coronary artery blood flow and fractional flow reserve (2013)European Heart Journal Cardiovascular Imaging 14 (4): 331-338
Academic honors, awards and prices:
- 2016: Runner up 10th Annual SIEMENS Outstanding Academic Research (SOAR) Award – Society of cardiovascular computed tomography (SCCT) with the scientific work “Dynamic CT perfusion imaging: perfusion parameters and analysis approach” – (1k dollars)
- 2014: European Society of Cardiology (ESC) training grant – (25k euros)
- 2013: Young Investigator Award Finalist – International Conference of Nuclear Cardiology and Cardiac CT (ICNC) with the scientific work “Dynamic computed tomography perfusion imaging for the detection of functionally significant lesions” – (500 euros)
- 2010: RSNA Certificate of Merit for the Education Exhibit entitled: “Clinical applications of dual energy CT” (LL-MSE-TU4B)