The perivascular fat gradient in HIV-infected patients
- PMID: 31996600
- DOI: 10.1097/QAD.0000000000002449
The perivascular fat gradient in HIV-infected patients
Comment on
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Coronary atherosclerosis characteristics in HIV-infected patients on long-term antiretroviral therapy: insights from coronary computed tomography-angiography.AIDS. 2019 Oct 1;33(12):1853-1862. doi: 10.1097/QAD.0000000000002297. AIDS. 2019. PMID: 31259763
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The Fat Attenuation Index in HIV-infected patients.AIDS. 2020 Mar 1;34(3):489-490. doi: 10.1097/QAD.0000000000002448. AIDS. 2020. PMID: 31996599 No abstract available.
References
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- West HW, Antoniades C. The Fat Attenuation Index in HIV-infected patients. AIDS 2020; 34:171–172.
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- Oikonomou EK, Marwan M, Desai MY, Mancio J, Alashi A, Hutt Centeno E, et al. Noninvasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a posthoc analysis of prospective outcome data. Lancet 2018; 392:929–939.
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- Antoniades C, Antonopoulos AS, Deanfield J. Imaging residual inflammatory cardiovascular risk. Eur Heart J 2019.
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- Oikonomou EK, Williams MC, Kotanidis CP, Desai MY, Marwan M, Antonopoulos AS, et al. A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography. Eur Heart J 2019; 40:3529–3543.
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- Kolossváry M, De Cecco CN, Feuchtner G, Maurovich-Horvat P. Advanced atherosclerosis imaging by CT: radiomics, machine learning and deep learning. J Cardiovasc Comput Tomogr 2019; pii: S1934-5925(18)30615-4. doi: 10.1016/j.jcct.2019.04.007. [Epub ahead of print]. - DOI
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