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Coronary Artery Anomalies Detected by Multi-Detector Computed Tomography: A Single Centre Experience
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作者 Basma Hammad Eman El-sharkawy +6 位作者 Yasser Morsi Noha Shabaan Salah Eltahan Mohamed Elshafi Shady Abohashem tanveer mir Mostafa Elwany 《World Journal of Cardiovascular Diseases》 2023年第6期261-274,共14页
Background: Coronary artery anomalies (CAA) prevalence represents less than 1% of congenital heart diseases. It includes anomalies in origin, course, and termination. Its detection has been easier with advances i... Background: Coronary artery anomalies (CAA) prevalence represents less than 1% of congenital heart diseases. It includes anomalies in origin, course, and termination. Its detection has been easier with advances in imaging techniques using multi-detector computed tomography (MDCT). MDCT helps not only detection of the anomalous origin, but it allows delineation of the course and termination of the arteries, differentiation between benign and malignant courses, and guiding therapeutic interventions. Results: There were consecutive patients with a low-to-intermediate probability of coronary artery disease scanned with 128 MDCT. Each patient underwent a non-contrast prospective gating acquisition for coronary calcium scoring followed by contrast-enhanced helical retrospective gated scans for the detection of coronary artery origin, course, termination, and detection of concomitant atherosclerosis. We scanned 1000 patients with a mean age of 57.5 ± 8.3, and 68% were males. Thirty-two anomalies were noted (3.2%) including;nineteen (1.9%) anomalous origin from the opposite sinus, three (0.3%) anomalous left coronary arteries from the pulmonary artery (ALCAPA), one (0.1%) super dominant left anterior descending artery (LAD) giving origin to the posterior descending artery (PDA), three single coronary arteries (0.3%)in which the left main (LM) and right coronary arteries were originating with a common stem from the right coronary sinus (RCS)and the LM took a pre-pulmonic course. Along with six (0.6%) dual LAD including five (0.5%) patients with type I (short LAD and long diagonal), there was one (0.1%) type 4 with an extra LAD originating from the RCS with a pre-pulmonic course. Conclusions: MDCT allows easy detection of coronary anomalies with high spatial resolution and overcomes limitations in conventional invasive coronary angiography. Based on our study we recommend the use of MDCT as an efficient and feasible modality for the diagnosis of coronary anomalies once this pathology is clinically suspected. 展开更多
关键词 Coronary Artery Anomalies Spatial Resolution Multi-Detector Computed Tomography
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Medical therapy vs early revascularization in diabetics with chronic total occlusions:A meta-analysis and systematic review
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作者 Muhammad Shayan Khan Farhad Sami +6 位作者 Hemindermeet Singh Waqas Ullah Ma'en Al-Dabbas Khalid Hamid Changal tanveer mir Zain Ali Ameer Kabour 《World Journal of Cardiology》 2020年第11期559-570,共12页
BACKGROUND Management of chronic total occlusions(CTO)in diabetics is challenging,with a recent trend towards early revascularization[ER:Percutaneous coronary intervention(PCI)and bypass grafting]instead of optimal me... BACKGROUND Management of chronic total occlusions(CTO)in diabetics is challenging,with a recent trend towards early revascularization[ER:Percutaneous coronary intervention(PCI)and bypass grafting]instead of optimal medical therapy(OMT).We hypothesize that ER improves morbidity and mortality outcomes in diabetic patients with CTOs as compared to OMT.AIM To determine the long term clinical outcomes and to compare morbidity and mortality between OMT and ER in diabetic patients with CTOs.METHODS Potentially relevant published clinical trials were identified in Medline,Embase,chemical abstracts and Biosis(from start of the databases till date)and pooled hazard ratios(HR)computed using a random effects model,with significant P value<0.05.Primary outcome of interest was all-cause death.Secondary outcomes included cardiac death,prompt revascularization(ER)or repeat myocardial infarction(MI).Due to scarcity of data,both Randomized control trials and observational studies were included.4 eligible articles,containing 2248 patients were identified(1252 in OMT and 1196 in ER).Mean follow-up was 45-60 mo.RESULTS OMT was associated with a higher all-cause mortality[HR:1.70,95%confidence interval(CI):0.80-3.26,P=0.11]and cardiac mortality(HR:1.68,95%CI:0.96-2.96,P=0.07).Results were close to significance.The risk of repeat MI was almost the same in both groups(HR:0.97,95%CI:0.61-1.54,P=0.90).Similarly,patients assigned to OMT had a higher risk of repeat revascularization(HR:1.62,95%CI:1.36-1.94,P<0.00001).Sub-group analysis of OMT vs PCI demonstrated higher all-cause(HR:1.98,95%CI:1.36-2.87,P=0.0003)and cardiac mortality(HR:1.87,95%CI:0.96-3.62,P=0.06)in the OMT group.The risk of repeat MI was low in the OMT group vs PCI(HR:0.53,95%CI:0.31-0.91,P=0.02).Data on repeat revascularization revealed no difference between the two(HR:1.00,95%CI:0.52-1.93,P=1.00).CONCLUSION In diabetic patients with CTO,there was a trend for improved outcomes with ER regarding all-cause and cardiac death as compared to OMT.These findings were reinforced with statistical significance on subgroup analysis of OMT vs PCI. 展开更多
关键词 Coronary angiography Diabetes mellitus Percutaneous coronary Intervention Coronary bypass grafts Chronic total occlusions MORTALITY
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Artificial intelligence and machine learning in cardiovascular computed tomography
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作者 Karthik Seetharam Premila Bhat +5 位作者 Maxine Orris Hejmadi Prabhu Jilan Shah Deepak Asti Preety Chawla tanveer mir 《World Journal of Cardiology》 2021年第10期546-555,共10页
Computed tomography(CT)is emerging as a prominent diagnostic modality in the field of cardiovascular imaging.Artificial intelligence(AI)is making significant strides in the field of information technology,the commerci... Computed tomography(CT)is emerging as a prominent diagnostic modality in the field of cardiovascular imaging.Artificial intelligence(AI)is making significant strides in the field of information technology,the commercial industry,and health care.Machine learning(ML),a branch of AI,can optimize the performance of CT and augment the assessment of coronary artery disease.These ML platforms can automate multiple tasks,perform calculations,and integrate information from a variety of data sources.In this review article,we explore the ML in CT imaging. 展开更多
关键词 Computed tomography Machine learning Artificial intelligence Cardiovascular imaging
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