Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Background: Patients with STEMI are postulated to have different culprit lesion morphology compared to NSTEMI. The use of OCT in ACS can help delineate lesion morphology. The aim of this systematic review was to analyze the available data on culprit plaque morphology in ACS patients.
Methods: The available literature was systematically screened for studies on culprit lesion morphology in ACS patients. Data was extracted from the selected studies and analyzed for baseline characteristics as well as culprit lesion morphology on OCT. Lesion characteristics between STEMI and NSTEMI groups were compared.
Results: A total of 32 studies were selected for the final analysis. The average age of the study population was 62.4 years. Majority of patients (66.6%) had STEMI on presentation. NSTEMI patients had a higher prevalence of diabetes compared to STEMI. Both STEMI and NSTEMI patients had similar prevalence of thin-cap fibroatheroma (44.9%). The mean fibrous cap thickness was 84.2 μm in the study. STEMI patients had higher prevalence of lipid plaques, macrophages and luminal thrombus as compared to NSTEMI patients. Plaque rupture was the predominant culprit lesion morphology in both STEMI and NSTEMI groups, with higher prevalence in STEMI patients. Plaque erosion was also more common in STEMI patients (34.4% vs 13.2%).
Conclusion: Plaque rupture is the predominat culprit lesion morphology in both STEMI and NSTEMI patients, despite having differences in baseline characteristics. Use of OCT to determine plaque morphology in ACS patients can help guide management strategy in select cases. [PROSPERO CRD42021249742].
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069671 | PMC |
| http://dx.doi.org/10.37616/2212-5043.1329 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Out with the old - advancements and shortcomings of the updated 9th edition of the Tumor, Node, Metastasis (TNM) classification system for lung cancer.
J Bras Pneumol
September 2025
. Departamento de Pneumologia, Centro Hospitalar Universitário de São João, Porto, Portugal.
Objectives: The 9th edition of the Tumor, Node, Metastasis (TNM-9) lung cancer classification is set to replace the 8th edition (TNM-8) starting in 2025. Key updates include the splitting of the mediastinal nodal category N2 into single- and multiple-station involvement, as well as the classification of multiple extrathoracic metastatic lesions as involving a single organ system (M1c1) or multiple organ systems (M1c2). This study aimed to assess how the TNM-9 revisions affect the final staging of lung cancer patients and how these changes correlate with overall survival (OS).
View Article and Find Full Text PDFArtificial intelligence-assisted colonoscopy for colorectal lesion detection: a case-control study on diagnostic accuracy and histopathological agreement.
Arq Bras Cir Dig
September 2025
Universidade de São Paulo, Faculty of Medicine, Department of Gastroenterology, Colonoscopy Division - São Paulo (SP), Brazil.
Background: Artificial intelligence (AI)-assisted colonoscopy has emerged as a tool to enhance adenoma detection rates (ADRs) and improve lesion characterization. However, its performance in real-world settings, especially in developing countries, remains uncertain.
Aims: The aim of this study was to evaluate the impact of AI on ADRs and its concordance with histopathological diagnosis.
INTEROBSERVER AGREEMENT OF INTRAPAPILLARY CAPILLARY LOOPS CLASSIFICATION FOR SUPERFICIAL ESOPHAGEAL SQUAMOUS CELL CARCINOMA IN A WESTERN CENTER.
Arq Gastroenterol
September 2025
Faculdade de Medicina da Universidade de São Paulo, Departamento de Gastroenterologia, São Paulo, SP, Brasil.
Background: Accurate evaluation of the invasion depth of superficial esophageal squamous cell carcinoma (SESCC) is crucial for optimal treatment. While magnifying endoscopy (ME) using the Japanese Esophageal Society (JES) classification is reported as the most accurate method to predict invasion depth, its efficacy has not been tested in the Western world. This study aims to evaluate the interobserver agreement of the JES classification for SESCC and its accuracy in estimating invasion depth in a Brazilian tertiary hospital.
View Article and Find Full Text PDF[Mechanism and features of blood vessel damage around the gunshot wound canal].
Sud Med Ekspert
September 2025
Bureau of Forensic Medical Expertise, Saint-Petersburg, Russia.
Unlabelled: Forming wound canal is one of the main signs of gunshot wound. Its features are related to the following differential diagnostic signs: presence of gunshot wound, its intravitality, prescription, direction of projectile (bullet) movement, power of used weapon, etc.
Objective: To study the mechanisms of wound canal formation in gunshot injury, the pattern of damage to the biological tissues of its walls (mainly, blood vessels), the features of hemorrhages forming around it.
Quantitative MRI Dixon signal drop and fat fraction for differentiating bone marrow lesions: a two-center prospective analysis.
Eur Radiol Exp
September 2025
Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt.
Background: Bone marrow (BM) lesion differentiation remains challenging, and quantitative magnetic resonance imaging (MRI) may enhance accuracy over conventional methods. We evaluated the diagnostic value and inter-reader reliability of Dixon-based signal drop (%drop) and fat fraction percentage (%fat) as adjuncts to existing protocols.
Materials And Methods: In this prospective two-center study, 172 patients with BM signal abnormalities underwent standardized 1.