Arthur Shiyovich

Dr. Arthur Shiyovich

Rabin Medical Center, Department of Cardiology, Israel
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
26 February 2024 in JACC
Verified
Journal Article
Closed access
ABAdam N. Berman
Adam N. Berman
DBDavid W. Biery
David W. Biery
SBStephanie A. Besser
Stephanie A. Besser
ASAvinainder Singh
Avinainder Singh
Arthur ShiyovichArthur Shiyovich
Arthur Shiyovich
RBRon Blankstein
Ron Blankstein

5 January 2024 in Diagnostics
Verified
Journal Article
Open access
PDF file
KAKhaled Abdelrahman
Khaled Abdelrahman
Arthur ShiyovichArthur Shiyovich
Arthur Shiyovich
DHDaniel M. Huck
Daniel M. Huck
ABAdam N Berman
Adam N Berman
BWBrittany Weber
Brittany Weber
RBRon Blankstein
Ron Blankstein
Coronary artery calcium (CAC) is a marker of coronary atherosclerosis, and the presence and severity of CAC have been shown to be powerful predictors of future cardiovascular events. Due to its value in risk discrimination and reclassification beyond traditional risk factors, CAC has been supported by recent guidelines, particularly for the purposes of informing shared decision-making regarding the use of preventive therapies. In addition to dedicated ECG-gated CAC scans, the presence and severity of CAC can also be accurately estimated on non-contrast chest computed tomography scans performed for other clinical indications. However, the presence of such “incidental” CAC is rarely reported. Advances in artificial intelligence have now enabled automatic CAC scoring for both cardiac and non-cardiac CT scans. Various AI approaches, from rule-based models to machine learning algorithms and deep learning, have been applied to automate CAC scoring. Convolutional neural networks, a deep learning technique, have had the most successful approach, with high agreement with manual scoring demonstrated in multiple studies. Such automated CAC measurements may enable wider and more accurate detection of CAC from non-gated CT studies, thus improving the efficiency of healthcare systems to identify and treat previously undiagnosed coronary artery disease.

9 October 2025 in JACC: Cardiovascular Imaging
Verified
Journal Article
Closed access
Arthur ShiyovichArthur Shiyovich
Arthur Shiyovich
ASAvinainder Singh
Avinainder Singh
CBCamila V. Blair
Camila V. Blair
RCRhanderson Cardoso
Rhanderson Cardoso
DHDaniel Huck
Daniel Huck
RBRon Blankstein
Ron Blankstein

1 June 2017 in Texas Heart Institute Journal
Verified
Journal Article
Closed access
Arthur ShiyovichArthur Shiyovich
Arthur Shiyovich
HGHarel Gilutz
Harel Gilutz
YPYgal Plakht
Ygal Plakht
We evaluated the association between white blood cell counts and long-term mortality rates in 2,129 patients (mean age, 65.3 ± 13.5 yr; 69% men) who had survived acute myocardial infarction. We obtained white blood cell counts and differential counts of white blood cell subtypes within the first 72 hours of hospital admission. The primary outcome was all-cause death at 1, 5, and 10 years after acute myocardial infarction. In regard to death in the long term, we found significant negative linear associations (lymphocytes), positive linear associations (neutrophils and the neutrophil-to-lymphocyte ratio), and nonlinear U-shaped associations (basophils, eosinophils, monocytes, and total white blood cell count). After multivariate adjustment for the Soroka Acute Myocardial Infarction risk score, lymphocytes (strongest association), neutrophil-to-lymphocyte ratio, and eosinophils were independently associated with death for up to 10 years after hospital discharge. The independent associations weakened over time. We conclude that lymphocyte count, neutrophil-to-lymphocyte ratio, and eosinophil count are independently and incrementally associated with death in the long term after acute myocardial infarction.

5 November 2021 in European Heart Journal - Cardiovascular Imaging
Verified
Journal Article
Closed access
Arthur ShiyovichArthur Shiyovich
Arthur Shiyovich
GWGuy Witberg
Guy Witberg
YAYaron Aviv
Yaron Aviv
AEAlon Eisen
Alon Eisen
KOKatia Orvin
Katia Orvin
AHAshraf Hamdan
Ashraf Hamdan
Aims: To describe the cardiac magnetic resonance (CMR) imaging findings of patients who developed myocarditis following messenger RNA (mRNA) coronavirus disease 2019 (COVID-19) vaccination. Methods and results: The present study retrospectively evaluated patients with clinically adjudicated myocarditis within 42 days of the first Pfizer-BNT162b2 mRNA COVID-19 vaccination, between 20 December 2020 and 24 May 2021 who underwent CMR. A total of 15 out 54 patients (28%) with myocarditis underwent a CMR and were included, 100% males, median age of 32 years (interquartile range = 22.5–40). Most patients presented with chest pain (87%) and had an abnormal electrocardiogram (79%). The severity of the disease was mild in 67% and intermediate in 33%. All patients survived and one patient was readmitted during the study period. CMR was performed at a median of 65 days (range 3–130 days) following diagnosis. Median ejection fraction was 58% (range 51–74%) global- and regional wall motion abnormalities were present in one and three patients, respectively. Native T1 was available in 13/15 patients (2/3 in 3 T and 11/12 in the 1.5 T), with increased values among 6/13. Late gadolinium enhancement (LGE) was found among 13/15 patients with a median of 2% (range 0–15%) with inferolateral wall being the most common location (8/13). The patterns of the LGE were: mid-wall in six patients; epicardial in five patients; and mid-wall and epicardial in two patients. Conclusions: Among patients who were diagnosed with post-vaccination clinical myocarditis, CMR imaging findings are mild and consistent with ‘classical myocarditis’. The short-term clinical course and outcomes were favourable.

1 October 2010 in The American Journal of the Medical Sciences
Verified
Journal Article
Closed access
Arthur ShiyovichArthur Shiyovich
Arthur Shiyovich
AWArik Wolak
Arik Wolak
LYLital Yacobovich
Lital Yacobovich
AGAviva Grosbard
Aviva Grosbard
AKAmos Katz
Amos Katz