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The Analysis Study of Relationship of Breast Arterial Calcifications on Mammography to Predict Elevated Risk of Coronary Artery Disease: A Comprehensive Systematic Review Rendi Rafsanjani; Bintara Ayu Putri; Mutiara Nurul Mahabbah
The International Journal of Medical Science and Health Research Vol. 9 No. 4 (2025): The International Journal of Medical Science and Health Research
Publisher : International Medical Journal Corp. Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70070/h5w89t63

Abstract

Background: Breast arterial calcifications (BAC) are medial arterial calcifications visualized as linear "tram-track" deposits in the breast vasculature on mammograms. Women with BAC have been found to have higher coronary artery calcium (CAC) scores and increased prevalence of cardiovascular risk factors such as diabetes, hypertension, and chronic kidney disease. This systematic review aims to comprehensively evaluate the current evidence on the relationship between BAC and CAD risk.  Methods: The study followed PRISMA 2020 guidelines, reviewing English-language publications from 2015 to 2025. Editorials, duplicate reviews from the same journal, and papers lacking a DOI were excluded. The literature search was conducted using PubMed, SagePub, SpringerLink, and Google Scholar. Result: A total of 2,172 articles were initially identified through online databases (PubMed, SagePub, SpringerLink, and Google Scholar). After three rounds of screening, eight relevant studies were selected for full-text analysis. Conclusion: The relationship between BAC and CAD is well-supported by retrospective studies, demonstrating significant associations with coronary calcification, cardiovascular risk factors, and disease severity. While BAC may not serve as a standalone diagnostic tool, its potential as an adjunct marker for CAD risk stratification is promising.
The Analysis Study of Diagnostic Imaging Performance and Accuracy of Congestive Heart Failure: A Comprehensive Systematic Review Mutiara Nurul Mahabbah; Rendi Rafsanjani; Bintara Ayu Putri
The Indonesian Journal of General Medicine Vol. 9 No. 2 (2025): The Indonesian Journal of General Medicine
Publisher : International Medical Journal Corp. Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70070/2617x988

Abstract

Background: Congestive heart failure (CHF) diagnosis requires accurate imaging techniques like echocardiography, magnetic resonance imaging (MRI), and computed tomography (CT). However, challenges persist in diagnostic accuracy due to factors like operator dependency and radiation exposure. This review aims to systematically evaluate the performance and accuracy of various diagnostic imaging modalities in the context of CHF. Methods: This systematic review adhered to PRISMA 2020 guidelines, focusing exclusively on full-text articles published in English between 2014 and 2024. Editorials and review articles without a DOI were excluded to ensure the utilization of high-quality sources. A literature review was conducted utilizing reputable databases including ScienceDirect, PubMed, and SagePub to identify relevant studies. Result: The initial database search identified over 1,000 relevant publications. Through a rigorous three-stage screening process, eight studies met the predefined inclusion criteria for in-depth analysis. Each study underwent a comprehensive critical evaluation, ensuring a high-quality evidence base for assessing the diagnostic imaging performance and accuracy in congestive heart failure. This systematic approach strengthened the study’s relevance, providing meaningful insights into the strengths and limitations of various imaging modalities. Conclusion: Echocardiography, cardiac CT, and cardiac MRI are essential imaging modalities for diagnosing and managing CHF. Echocardiography offers real-time imaging, while cardiac CT provides high-resolution insights. MRI, the gold standard for myocardial tissue characterization, offers unparalleled prognostic value. Integrating these technologies enhances patient outcomes.