What is the role of invasive versus non‐invasive coronary angiography in the investigation of patients suspected to have coronary heart disease?

Chow, Clara K; Sheth, Tej

doi:10.1111/j.1445-5994.2009.02066.x

Cited by 7 publications

(3 citation statements)

References 39 publications

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“…Chow and Sheth in their article on invasive and non‐invasive coronary angiography 1 miss in my opinion, the opportunity to offer an approach that might significantly reduce the exposure of patients with clinically diagnosed/suspected ischaemic heart disease to invasive cardiology. Given that in many situations revascularization improves symptoms but not survival, 2 non‐invasive angiography could be the only investigation of many if not most of such patients.…”

mentioning

confidence: 99%

Invasive versus non‐invasive coronary angiography

Fitzgerald

2011

Internal Medicine Journal

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confidence: 99%

Invasive versus non‐invasive coronary angiography

Fitzgerald

2011

Internal Medicine Journal

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“…In contrast, coronary computed tomographic angiography (CCTA) is a non-invasive technique capable of accurately detecting obstructive CAD and evaluating atherosclerotic plaque burden in the coronary artery ( 7 , 9 - 13 ). Despite its reliability as a diagnostic tool, utilizing CCTA for coronary artery assessment remains time-consuming and requires extensive expertise ( 14 , 15 ).…”

Section: Introductionmentioning

confidence: 99%

Automated detection and classification of coronary atherosclerotic plaques on coronary CT angiography using deep learning algorithm

Liang,

Zhou,

Chu

et al. 2024

Quant Imaging Med Surg

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Background Coronary artery disease (CAD) is the leading cause of mortality worldwide. Recent advances in deep learning technology promise better diagnosis of CAD and improve assessment of CAD plaque buildup. The purpose of this study is to assess the performance of a deep learning algorithm in detecting and classifying coronary atherosclerotic plaques in coronary computed tomographic angiography (CCTA) images. Methods Between January 2019 and September 2020, CCTA images of 669 consecutive patients with suspected CAD from Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine were included in this study. There were 106 patients included in the retrospective plaque detection analysis, which was evaluated by a deep learning algorithm and four independent physicians with varying clinical experience. Additionally, 563 patients were included in the analysis for plaque classification using the deep learning algorithm, and their results were compared with those of expert radiologists. Plaques were categorized as absent, calcified, non-calcified, or mixed. Results The deep learning algorithm exhibited higher sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy {92% [95% confidence interval (CI): 89.5–94.1%], 87% (95% CI: 84.2–88.5%), 79% (95% CI: 76.1–82.4%), 95% (95% CI: 93.4–96.3%), and 89% (95% CI: 86.9–90.0%)} compared to physicians with ≤5 years of clinical experience in CAD diagnosis for the detection of coronary plaques. The algorithm’s overall sensitivity, specificity, PPV, NPV, accuracy, and Cohen’s kappa for plaque classification were 94% (95% CI: 92.3–94.7%), 90% (95% CI: 88.8–90.3%), 70% (95% CI: 68.3–72.1%), 98% (95% CI: 97.8–98.5%), 90% (95% CI: 89.8–91.1%) and 0.74 (95% CI: 0.70–0.78), indicating strong performance. Conclusions The deep learning algorithm has demonstrated reliable and accurate detection and classification of coronary atherosclerotic plaques in CCTA images. It holds the potential to enhance the diagnostic capabilities of junior radiologists and junior intervention cardiologists in the CAD diagnosis, as well as to streamline the triage of patients with acute coronary symptoms.

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“…Such is the dilemma we now face with how to best use a new test – computed tomography coronary angiography (CTCA). While CTCA has many potential uses, as discussed in a recent review in the Internal Medicine Journal , 3 our focus here is the use of CTCA in diagnosing coronary artery disease (CAD) in patients presenting to emergency departments (EDs) with acute chest pain who lack diagnostic features of acute coronary syndrome (ACS).…”

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confidence: 99%

Using computed tomography coronary angiography to evaluate patients with acute chest pain: putting the horse before the cart

Scott

2011

Internal Medicine Journal

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What is the role of invasive versus non‐invasive coronary angiography in the investigation of patients suspected to have coronary heart disease?

Cited by 7 publications

References 39 publications

Invasive versus non‐invasive coronary angiography

Invasive versus non‐invasive coronary angiography

Automated detection and classification of coronary atherosclerotic plaques on coronary CT angiography using deep learning algorithm

Using computed tomography coronary angiography to evaluate patients with acute chest pain: putting the horse before the cart

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