Recent advances in nanomedicines for imaging and therapy of myocardial ischemia-reperfusion injury

J Wang, Y Liu, Y Liu, H Huang, S Roy, Z Song… - Journal of Controlled …, 2023 - Elsevier
Myocardial ischemia-reperfusion injury (IRI) is becoming a typical cardiovascular disease
with increasing worldwide incidence. It is usually induced by the restoration of normal blood …

Present and future innovations in AI and cardiac MRI

MA Morales, WJ Manning, R Nezafat - Radiology, 2024 - pubs.rsna.org
Cardiac MRI is used to diagnose and treat patients with a multitude of cardiovascular
diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and …

Radiomics of late gadolinium enhancement reveals prognostic value of myocardial scar heterogeneity in hypertrophic cardiomyopathy

AS Fahmy, EJ Rowin, N Jaafar, RH Chan… - Cardiovascular …, 2024 - jacc.org
Background Late gadolinium enhancement (LGE) scar burden by cardiac magnetic
resonance is a major risk factor for sudden cardiac death (SCD) in hypertrophic …

[HTML][HTML] Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy

AS Fahmy, EJ Rowin, A Arafati, T Al-Otaibi… - Journal of …, 2022 - Elsevier
Background Myocardial scar burden quantified using late gadolinium enhancement (LGE)
cardiovascular magnetic resonance (CMR), has important prognostic value in hypertrophic …

Machine learning phenotyping of scarred myocardium from cine in hypertrophic cardiomyopathy

J Mancio, F Pashakhanloo… - European Heart …, 2022 - academic.oup.com
Aims Cardiovascular magnetic resonance (CMR) with late-gadolinium enhancement (LGE)
is increasingly being used in hypertrophic cardiomyopathy (HCM) for diagnosis, risk …

Emerging techniques in cardiac magnetic resonance imaging

R Guo, S Weingärtner, P Šiurytė… - Journal of Magnetic …, 2022 - Wiley Online Library
Cardiovascular disease is the leading cause of death and a significant contributor of health
care costs. Noninvasive imaging plays an essential role in the management of patients with …

Image resampling and discretization effect on the estimate of myocardial radiomic features from T1 and T2 mapping in hypertrophic cardiomyopathy

D Marfisi, C Tessa, C Marzi, J Del Meglio… - Scientific Reports, 2022 - nature.com
Radiomics is emerging as a promising and useful tool in cardiac magnetic resonance (CMR)
imaging applications. Accordingly, the purpose of this study was to investigate, for the first …

ComBat harmonization of myocardial radiomic features sensitive to cardiac MRI acquisition parameters

S Priya, DD Dhruba, E Sorensen, PY Aher… - Radiology …, 2023 - pubs.rsna.org
Purpose To investigate the effect of ComBat harmonization methods on the robustness of
cardiac MRI–derived radiomic features to variations in imaging parameters. Materials and …

Predicting survival in patients with brain tumors: Current state-of-the-art of AI methods applied to MRI

C Di Noia, JT Grist, F Riemer, M Lyasheva, M Fabozzi… - Diagnostics, 2022 - mdpi.com
Given growing clinical needs, in recent years Artificial Intelligence (AI) techniques have
increasingly been used to define the best approaches for survival assessment and …

[HTML][HTML] Non-contrast cine cardiac magnetic resonance derived-radiomics for the prediction of left ventricular adverse remodeling in patients with ST-segment …

A Xin, M Liu, T Chen, F Chen, G Qian… - Korean Journal of …, 2023 - ncbi.nlm.nih.gov
Objective To investigate the predictive value of radiomics features based on cardiac
magnetic resonance (CMR) cine images for left ventricular adverse remodeling (LVAR) after …