scholarly journals Limitations of Coronary Computed Tomography Angiography in Predicting Acute Coronary Syndrome in a Low to Intermediate-risk Patient with Chest Pain

Cureus ◽  
2018 ◽  
Author(s):  
Ahmed Zaghloul ◽  
Corina Iorgoveanu ◽  
Kathir Balakumaran ◽  
Dinu V Balanescu ◽  
Teodora Donisan
Keyword(s):  
Computed Tomography ◽  
Acute Coronary Syndrome ◽  
Chest Pain ◽  
Computed Tomography Angiography ◽  
Coronary Computed Tomography Angiography ◽  
Risk Patient ◽  
Intermediate Risk ◽  
Coronary Computed Tomography ◽  
Coronary Syndrome ◽  
Intermediate Risk Patient

scholarly journals Prediction of acute coronary syndrome within 3 years using radiomics signature of pericoronary adipose tissue based on coronary computed tomography angiography

2021 ◽  
Author(s):  
Jin Shang ◽  
Shaowei Ma ◽  
Yan Guo ◽  
Linlin Yang ◽  
Qian Zhang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Acute Coronary Syndrome ◽  
Adipose Tissue ◽  
Computed Tomography Angiography ◽  
Predictive Models ◽  
Coronary Computed Tomography Angiography ◽  
Plaque Score ◽  
Coronary Computed Tomography ◽  
Coronary Syndrome ◽  
Radiomics Signature

Abstract Objectives To evaluate whether radiomics signature of pericoronary adipose tissue (PCAT) based on coronary computed tomography angiography (CCTA) could improve the prediction of future acute coronary syndrome (ACS) within 3 years. Methods We designed a retrospective case-control study that patients with ACS (n = 90) were well matched to patients with no cardiac events (n = 1496) during 3 years follow-up, then which were randomly divided into training and test datasets with a ratio of 3:1. A total of 107 radiomics features were extracted from PCAT surrounding lesions and 14 conventional plaque characteristics were analyzed. Radiomics score, plaque score, and integrated score were respectively calculated via a linear combination of the selected features, and their performance was evaluated with discrimination, calibration, and clinical application. Results Radiomics score achieved superior performance in identifying patients with future ACS within 3 years in both training and test datasets (AUC = 0.826, 0.811) compared with plaque score (AUC = 0.699, 0.640), with a significant difference of AUC between two scores in the training dataset (p = 0.009); while the improvement of integrated score discriminating capability (AUC = 0.838, 0.826) was non-significant. The calibration curves of three predictive models demonstrated a good fitness respectively (all p > 0.05). Decision curve analysis suggested that integrated score added more clinical benefit than plaque score. Stratified analysis revealed that the performance of three predictive models was not affected by tube voltage, CT version, different sites of hospital. Conclusion CCTA-based radiomics signature of PCAT could have the potential to predict the occurrence of subsequent ACS. Radiomics-based integrated score significantly outperformed plaque score in identifying future ACS within 3 years. Key Points • Plaque score based on conventional plaque characteristics had certain limitations in the prediction of ACS. • Radiomics signature of PCAT surrounding plaques could have the potential to improve the predictive ability of subsequent ACS. • Radiomics-based integrated score significantly outperformed plaque score in the identification of future ACS within 3 years.

scholarly journals Coronary computed tomography angiography vs.standard of care for evaluation of NSTE-ACS: a systematic review and meta-analysis

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
A Elzanaty ◽  
A Maraey ◽  
M Khalil ◽  
E Elsheikh ◽  
Z Nesheiwat ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Chest Pain ◽  
Computed Tomography Angiography ◽  
Coronary Computed Tomography Angiography ◽  
Meta Analysis ◽  
Comparable Efficacy ◽  
Cardiac Markers ◽  
Coronary Computed Tomography ◽  
Coronary Syndrome ◽  
Significant Difference

Abstract Background Non-ST elevation acute coronary syndrome (NSTE-ACS) is one of the common cardiac emergencies that pose a diagnostic challenge, especially in the absence of EKG changes or elevation in cardiac markers. Coronary computed tomography angiography (CT) has an established role in the evaluation of stable chest pain with ESC giving it class I recommendation. The role of CCTA in the management of NSTE-ACS is less clear. Purpose To evaluate the hypothesis of CT efficacy in identifying and managing patients with NSTE-ACS in comparison to the standard of care (SOC). Methods We searched MEDLINE, EMBASE, and Cochrane Central for randomized controlled trials (RCT) that compared initial CT utilization vs SOC in patients presenting with acute chest pain with suspected or confirmed NSTE-ACS. SOC arm included initial evaluation and triaging by treating physician including but not limited to clinical observation, serial cardiac markers, stress testing, and invasive coronary angiography (ICA). Studies with follow-up data of 1 month or more were included. Outcomes evaluated were incidence of rehospitalization/ER visits post index visit, referral to ICA, and presence of significant lesion during ICA requiring revascularization. Results A total of 6,862 patients (3,663 in the CT arm and 3,199 in the SOC) were analyzed from 13 RCTs. No statistically significant difference was noted between two intervention arms with regards to repeat hospital visits [Odds ratio (OR): 1.02; 95% CI: 0.85–1.24; P=0.82; I2=0%], and referral to ICA (OR: 1.32: 95% CI: 0.95–1.83; P=0.10; I2=66). CT was however more likely to uncover significant lesions requiring revascularization compared to SOC arm (OR: 1.77; 95% CI: 1.32–2.37; P=0.0001; I2=23%]. Conclusion Our meta-analysis showed that in patients with suspected NSTE-ACS, CT is associated with similar rates of ICA referral and re-admissions albeit being more likely to uncover hemodynamically significant lesions that require revascularization. These findings are consistent with the finding of the recently published VERDICT trial that showed comparable efficacy between coronary CT and ICA. Further studies evaluating the long term cardiovascular outcomes are warranted. FUNDunding Acknowledgement Type of funding sources: None.

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