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Article ; Online: Can we REFINE stress-only SPECT MPI protocols using machine learning?

Elwazir, Mohamed Y / Chareonthaitawee, Panithaya

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology

2021 Volume 29, Issue 5, Page(s) 2308–2310

MeSH term(s)	Coronary Artery Disease/diagnostic imaging ; Humans ; Machine Learning ; Myocardial Perfusion Imaging/methods ; Tomography, Emission-Computed, Single-Photon/methods
Language	English
Publishing date	2021-10-19
Publishing country	United States
Document type	Editorial ; Comment
ZDB-ID	1212505-2
ISSN	1532-6551 ; 1071-3581
ISSN (online)	1532-6551
ISSN	1071-3581
DOI	10.1007/s12350-021-02822-4
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Zs.A 4121: Show issues

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Article ; Online: Utilization of cardiac imaging in sarcoidosis.

Elwazir, Mohamed Y / Bois, John P / Chareonthaitawee, Panithaya

Expert review of cardiovascular therapy

2022 Volume 20, Issue 4, Page(s) 253–266

Abstract: Introduction: Cardiac sarcoidosis (CS) is the cardiac, and occasionally the only manifestation, of a systemic disease of unknown etiology inherently challenging to definitively diagnose due to the lack of a reliable gold standard, the current being ... ...

Abstract	Introduction: Cardiac sarcoidosis (CS) is the cardiac, and occasionally the only manifestation, of a systemic disease of unknown etiology inherently challenging to definitively diagnose due to the lack of a reliable gold standard, the current being endomyocardial biopsy, the yield of which is low owing to the patchy nature of involvement. Societal guidelines employ specific criteria to make a probabilistic diagnosis, integrating clinical assessment with conventional and advanced cardiac imaging. Areas covered: This review begins with an introduction to CS, followed by a discussion of diagnostic guidelines commonly used, then delves into an in-depth review of the imaging modalities currently available to assess for CS. Particular attention is made to discussing findings, strengths, limitations, and future directions for each modality. Expert opinion: The burden of CS may be significantly larger than previously thought. With the low yield of endomyocardial biopsy, advanced cardiac imaging is increasingly employed to determine CS likelihood. Cardiac magnetic resonance is adept at detecting myocardial scar and able to differentiate between CS and other cardiomyopathies. F-18 Fluorodeoxyglucose positron emission tomography is superior at detecting active disease (myocardial inflammation) which may be amenable to immunosuppressive treatment, as well as detecting extracardiac involvement and identifying potential biopsy sites.
MeSH term(s)	Cardiomyopathies/diagnostic imaging ; Fluorodeoxyglucose F18 ; Humans ; Magnetic Resonance Imaging/methods ; Myocarditis ; Positron-Emission Tomography/methods ; Sarcoidosis/diagnostic imaging
Chemical Substances	Fluorodeoxyglucose F18 (0Z5B2CJX4D)
Language	English
Publishing date	2022-05-01
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	2192343-7
ISSN	1744-8344 ; 1477-9072
ISSN (online)	1744-8344
ISSN	1477-9072
DOI	10.1080/14779072.2022.2069560
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Zs.A 6107: Show issues

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Article ; Online: Artificial Intelligence in COVID-19 Ultrastructure.

Elwazir, Mohamed Y / Hosny, Somaya

Journal of microscopy and ultrastructure

2020 Volume 8, Issue 4, Page(s) 146–147

Abstract: Artificial intelligence has found its way into numerous fields of medicine in the past decade, spurred by the availability of big data and powerful processors. For the COVID-19 pandemic, aside from predicting its onset, artificial intelligence has been ... ...

Abstract	Artificial intelligence has found its way into numerous fields of medicine in the past decade, spurred by the availability of big data and powerful processors. For the COVID-19 pandemic, aside from predicting its onset, artificial intelligence has been used to track disease spread, detect pulmonary involvement in computed tomography scans, risk-stratify patients, and model virtual protein structure and potential therapeutic agents. This mini-review briefly discusses the potential applications of artificial intelligence in COVID-19 microscopy.
Language	English
Publishing date	2020-12-10
Publishing country	India
Document type	Journal Article ; Review
ISSN	2213-8803
ISSN (online)	2213-8803
DOI	10.4103/JMAU.JMAU_28_20
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Article ; Online: Can mobilization of bone marrow stem cells be an alternative regenerative therapy to stem cell injection in a rat model of chronic kidney disease?

Morsy, Shereen / Mansour, Mona F / Abdo, Mohamed / El-Wazir, Yasser

Physiological reports

2022 Volume 10, Issue 17, Page(s) e15448

Abstract: Chronic kidney disease (CKD) is a priority health problem affecting 36% of Egyptians. Adipose-derived mesenchymal stem cells (ADMSCs) have multidifferentiation capacity and the ability to restore several types of cells including damaged renal cells. ... ...

Abstract	Chronic kidney disease (CKD) is a priority health problem affecting 36% of Egyptians. Adipose-derived mesenchymal stem cells (ADMSCs) have multidifferentiation capacity and the ability to restore several types of cells including damaged renal cells. Granulocyte colony-stimulating factor (G-CSF) is known to mobilize hematopoietic stem cells from bone marrow to the peripheral circulation. The aim of this study was to compare the effect of endogenous CD34
MeSH term(s)	Albumins ; Animals ; Bone Marrow Cells ; Creatinine ; Disease Models, Animal ; Doxorubicin/pharmacology ; Granulocyte Colony-Stimulating Factor/pharmacology ; Granulocyte Colony-Stimulating Factor/therapeutic use ; Hematopoietic Stem Cell Transplantation ; Hematopoietic Stem Cells/metabolism ; Male ; Rats ; Renal Insufficiency, Chronic/chemically induced ; Renal Insufficiency, Chronic/therapy ; Urea
Chemical Substances	Albumins ; Granulocyte Colony-Stimulating Factor (143011-72-7) ; Doxorubicin (80168379AG) ; Urea (8W8T17847W) ; Creatinine (AYI8EX34EU)
Language	English
Publishing date	2022-09-05
Publishing country	United States
Document type	Journal Article
ZDB-ID	2724325-4
ISSN	2051-817X ; 2051-817X
ISSN (online)	2051-817X
ISSN	2051-817X
DOI	10.14814/phy2.15448
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Article ; Online: Adapting and evaluating a deep learning language model for clinical why-question answering.

Wen, Andrew / Elwazir, Mohamed Y / Moon, Sungrim / Fan, Jungwei

JAMIA open

2020 Volume 3, Issue 1, Page(s) 16–20

Abstract: Objectives: To adapt and evaluate a deep learning language model for answering why-questions based on patient-specific clinical text.: Materials and methods: Bidirectional encoder representations from transformers (BERT) models were trained with ... ...

Abstract	Objectives: To adapt and evaluate a deep learning language model for answering why-questions based on patient-specific clinical text. Materials and methods: Bidirectional encoder representations from transformers (BERT) models were trained with varying data sources to perform SQuAD 2.0 style why-question answering (why-QA) on clinical notes. The evaluation focused on: (1) comparing the merits from different training data and (2) error analysis. Results: The best model achieved an accuracy of 0.707 (or 0.760 by partial match). Training toward customization for the clinical language helped increase 6% in accuracy. Discussion: The error analysis suggested that the model did not really perform deep reasoning and that clinical why-QA might warrant more sophisticated solutions. Conclusion: The BERT model achieved moderate accuracy in clinical why-QA and should benefit from the rapidly evolving technology. Despite the identified limitations, it could serve as a competent proxy for question-driven clinical information extraction.
Language	English
Publishing date	2020-02-04
Publishing country	United States
Document type	Journal Article
ISSN	2574-2531
ISSN (online)	2574-2531
DOI	10.1093/jamiaopen/ooz072
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Article ; Online: Imaging cardiac sarcoidosis and infiltrative diseases: diagnosis and therapeutic response.

Elwazir, Mohamed Y / Bois, John P / Abouezzeddine, Omar F / Chareonthaitawee, Panithaya

The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of...

2020 Volume 64, Issue 1, Page(s) 51–73

Abstract: Infiltrative heart disease is an encompassing term referring to different pathological entities that involve infiltration of the myocardium by either abnormal substances or inflammatory cells. These infiltrates can impair cellular function, induce ... ...

Abstract	Infiltrative heart disease is an encompassing term referring to different pathological entities that involve infiltration of the myocardium by either abnormal substances or inflammatory cells. These infiltrates can impair cellular function, induce necrosis and fibrosis, or otherwise disrupt myocardial architecture resulting in a wide spectrum of structural and functional impairment. Depending on the specific disorder and stage of disease, patients may present with minimal cardiac abnormalities, or may have findings of advanced restrictive and/or dilated cardiomyopathy. Furthermore, patients may often be misdiagnosed with more common conditions such as hypertensive, hypertrophic or ischemic cardiomyopathies. Correlation of cardiac findings with clinical, serologic or pathologic data is critical in many of these conditions. While cardiac involvement may be detected by echocardiography, other imaging modalities such as cardiac magnetic resonance, single-photon emission computed tomography, or positron emission tomography provide additional critical diagnostic, prognostic and therapeutic information. Advanced imaging modalities also provide quantitative data that can further risk stratify patients, monitor disease progression, and guide management. In this review we provide an overview of infiltrative heart disease from an imaging perspective, with a particular focus on cardiac sarcoidosis and cardiac amyloidosis.
MeSH term(s)	Cardiomyopathies/diagnostic imaging ; Cardiomyopathies/therapy ; Humans ; Sarcoidosis/diagnostic imaging ; Sarcoidosis/therapy ; Treatment Outcome
Language	English
Publishing date	2020-01-24
Publishing country	Italy
Document type	Journal Article ; Review
ZDB-ID	1281687-5
ISSN	1827-1936 ; 0392-0208 ; 1125-0135 ; 1824-4661 ; 1824-4785
ISSN (online)	1827-1936
ISSN	0392-0208 ; 1125-0135 ; 1824-4661 ; 1824-4785
DOI	10.23736/S1824-4785.20.03235-5
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Zs.A 18: Show issues

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Article ; Online: Value of a Right Ventricular-Specific Longitudinal Systolic Strain Software Package in Risk Prediction in Patients With Known or Suspected Pulmonary Hypertension.

Salama, Abdalla A / Padang, Ratnasari / Thaden, Jeremy J / Kane, Conor J / Elwazir, Mohamed Y / Anand, Vidhu / McCully, Robert B / Pislaru, Cristina / Pislaru, Sorin V / Kane, Garvan C

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

2023 Volume 36, Issue 6, Page(s) 667–670

MeSH term(s)	Humans ; Hypertension, Pulmonary/diagnostic imaging ; Systole ; Echocardiography ; Software ; Ventricular Dysfunction, Right/diagnostic imaging ; Ventricular Dysfunction, Right/etiology ; Ventricular Function, Right
Language	English
Publishing date	2023-01-18
Publishing country	United States
Document type	Journal Article
ZDB-ID	1035622-8
ISSN	1097-6795 ; 0894-7317
ISSN (online)	1097-6795
ISSN	0894-7317
DOI	10.1016/j.echo.2022.12.027
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Zs.A 2638: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
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Article ; Online: Association of Angio-LncRNAs MIAT rs1061540/MALAT1 rs3200401 Molecular Variants with Gensini Score in Coronary Artery Disease Patients Undergoing Angiography.

Elwazir, Mohamed Y / Hussein, Mohammad H / Toraih, Eman A / Al Ageeli, Essam / Esmaeel, Safya E / Fawzy, Manal S / Faisal, Salwa

Biomolecules

2022 Volume 12, Issue 1

Abstract: Long non-coding RNAs (lncRNAs) have emerged as essential biomolecules with variable diagnostic and/or prognostic utility in several diseases, including coronary artery disease (CAD). We aimed for the first time to investigate the potential association of ...

Abstract	Long non-coding RNAs (lncRNAs) have emerged as essential biomolecules with variable diagnostic and/or prognostic utility in several diseases, including coronary artery disease (CAD). We aimed for the first time to investigate the potential association of five angiogenesis-related lncRNAs (PUNISHER, SENCR, MIAT, MALAT1, and GATA6-AS) variants with CAD susceptibility and/or severity. TaqMan Real-Time genotyping for PUNISHER rs12318065A/C, SENCR rs12420823C/T, MIAT rs1061540C/T, MALAT1 rs3200401T/C, and GATA6-AS1 rs73390820A/G were run on the extracted genomic DNA from 100 unrelated patients with stable CAD undergoing diagnostic coronary angiography and from 100 controls. After adjusting covariates, the studied variants showed no association with disease susceptibility; however, MIATT/T genotype was associated with a more severe Gensini score. In contrast, MALAT1T/C heterozygosity was associated with a lower score. The lipid profile, and to a lesser extent smoking status, male sex, weight, hypertension, and MALAT1 (T > C) (negative correlation), explained the variance between patients/control groups via a principal component analysis. Incorporating the principal components into a logistic regression model to predict CAD yielded a 0.92 AUC. In conclusion: MIAT rs1061540 and MALAT1 rs3200401 variants were associated with CAD severity and Gensini score in the present sample of the Egyptian population. Further large multi-center and functional analyses are needed to confirm the results and identify the underlying molecular mechanisms.
MeSH term(s)	Coronary Angiography ; Coronary Artery Disease/diagnostic imaging ; Coronary Artery Disease/genetics ; Genotype ; Humans ; Male ; Neovascularization, Pathologic ; RNA, Long Noncoding/genetics
Chemical Substances	Miat long non-coding RNA ; RNA, Long Noncoding
Language	English
Publishing date	2022-01-15
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2701262-1
ISSN	2218-273X ; 2218-273X
ISSN (online)	2218-273X
ISSN	2218-273X
DOI	10.3390/biom12010137
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Article ; Online: Imaging and Quantification of Cardiac Sarcoidosis.

Elwazir, Mohamed Y / Bois, John P / Abou Ezzeddine, Omar F / Chareonthaitawee, Panithaya

Seminars in nuclear medicine

2020 Volume 50, Issue 4, Page(s) 283–294

Abstract: Cardiac sarcoidosis (CS) refers to the increasingly recognized cardiac involvement of an incompletely understood systemic disease entity-sarcoidosis. Endomyocardial biopsy can provide definitive diagnosis but is limited by its invasiveness and poor ... ...

Abstract	Cardiac sarcoidosis (CS) refers to the increasingly recognized cardiac involvement of an incompletely understood systemic disease entity-sarcoidosis. Endomyocardial biopsy can provide definitive diagnosis but is limited by its invasiveness and poor sensitivity. In the absence of a reliable gold standard, a combination of clinical, electrocardiographic, imaging, and histologic criteria are relied upon to provide probabilistic diagnosis. Within the last few years, societal documents have included advanced cardiovascular imaging modalities,
MeSH term(s)	Cardiomyopathies/diagnostic imaging ; Humans ; Magnetic Resonance Imaging ; Molecular Imaging ; Positron Emission Tomography Computed Tomography ; Sarcoidosis/diagnostic imaging
Language	English
Publishing date	2020-04-25
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	120248-0
ISSN	1558-4623 ; 0001-2998
ISSN (online)	1558-4623
ISSN	0001-2998
DOI	10.1053/j.semnuclmed.2020.03.005
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Article ; Online: The Mechanism and Natural History of Mitral Regurgitation in Cardiac Sarcoidosis.

Sykora, Daniel / Young, Kathleen A / Elwazir, Mohamed Y / Bois, John P / Arment, Courtney A / Chareonthaitawee, Panithaya / Kolluri, Nikhil / Ezzeddine, Omar F Abou / Cooper, Leslie T / Rosenbaum, Andrew N

The American journal of cardiology

2023 Volume 191, Page(s) 84–91

Abstract: Cardiac sarcoidosis (CS) is an infl/ammatory cardiomyopathy that can present with mitral regurgitation (MR), but few studies describe the mechanisms and natural history of MR in CS. We queried an institutional registry of 512 patients with CS for ... ...

Abstract	Cardiac sarcoidosis (CS) is an infl/ammatory cardiomyopathy that can present with mitral regurgitation (MR), but few studies describe the mechanisms and natural history of MR in CS. We queried an institutional registry of 512 patients with CS for moderate or greater MR at diagnosis. Baseline demographic and echocardiography (TTE) data were collected. MR was classified by Carpentier type. Positron emission tomography was analyzed for 2-deoxy-2-[fluorine-18] fluoro-d-glucose (FDG) avidity of anterolateral and posteromedial papillary muscles. Follow-up TTE and positron emission tomography imaging of patients treated with immunosuppression was analyzed for MR severity and FDG avidity changes. Fifty-four patients were identified. Mean left ventricular ejection fraction was 39.3%, effective regurgitant orifice 0.34 cm
MeSH term(s)	Humans ; Mitral Valve Insufficiency/complications ; Mitral Valve Insufficiency/diagnostic imaging ; Stroke Volume ; Fluorodeoxyglucose F18 ; Ventricular Function, Left ; Myocarditis ; Severity of Illness Index ; Sarcoidosis/diagnosis ; Sarcoidosis/diagnostic imaging
Chemical Substances	Fluorodeoxyglucose F18 (0Z5B2CJX4D)
Language	English
Publishing date	2023-01-18
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	80014-4
ISSN	1879-1913 ; 0002-9149
ISSN (online)	1879-1913
ISSN	0002-9149
DOI	10.1016/j.amjcard.2023.01.002
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