Coronary artery disease detection - limitations of stress testing in left ventricular dysfunction

Bomb, Ritin; Kumar, Sumit; Chockalingam, Anand

doi:10.4330/wjc.v9.i4.304

Cited by 6 publications

(5 citation statements)

References 58 publications

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“…In research on disease diagnosis and prevention, Bomb et al stated that accidental diagnosis of left ventricular systolic dysfunction is common in clinical practice. In the study, he compared the pressure echocardiogram of the test and found its limitations [ 5 ]. He conducted certain research on Internet surveillance systems and updated the current state of knowledge of the event-based Internet biological surveillance system by identifying all systems including current functions.…”

Section: Introductionmentioning

confidence: 99%

Detection of Diseases Using Machine Learning Image Recognition Technology in Artificial Intelligence

Huang

et al. 2022

Computational Intelligence and Neuroscience

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With the continuous development and improvement of artificial intelligence technology, machine learning technology has also been extensively developed, which has promoted the development of computer vision, image processing, natural language processing, and other fields. Purpose. This article aims to apply the image processing technology based on machine learning in the detection of childhood diseases and propose the application of image processing technology to the detection of childhood diseases. This article introduces machine learning, image recognition technology, and related algorithms in detail and experiments on image recognition technology based on machine learning. The experimental results show that image recognition technology based on machine learning can well identify white blood cells that are difficult to distinguish with the naked eye, with a recognition rate of up to 90%. Applying image recognition technology based on machine learning in disease diagnosis has greatly improved the level of medical diagnosis.

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Section: Introductionmentioning

confidence: 99%

Detection of Diseases Using Machine Learning Image Recognition Technology in Artificial Intelligence

Huang

et al. 2022

Computational Intelligence and Neuroscience

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“…Interpretation of MPS images is subjective since several technical and inter-personal features might affect the study. In addition, dilated cardiomyopathy, exercise-induced coronary spasm, mitral valve prolapse, and aortic stenosis have also been associated with various SPECT abnormalities (9).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Myocardial Perfusion Imaging SPECT Parameters and Pharmacologic Stress Test with Adenosine Versus Coronary Angiography Findings: Are They Diagnostically Concordant?

Hasbek¹,

Ertürk²,

Çakmakçılar³

et al. 2019

Mirt

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Objectives: In this study our first aim was to evaluate the diagnostic concordance of myocardial perfusion scintigraphy (MPS) by pharmacological stress test with adenosine (APST) with coronary angiography (CAG). The secondary aim of this study was to evaluate the correlation between CAG findings and automated analysis parameters such as left ventricular ejection fraction, summed stress score (SSS), summed rest score, summed difference score (SDS), stress MPS defect percentage ratio (extent) and transient ischemic dilation (TID) obtained by myocardial perfusion imaging single-photon emission computed tomography (SPECT). Methods: A total of 129 patients (62 male, 67 female, median age: 60.02) undergoing MPS due to suspicion of coronary ischemia who also underwent subsequent CAG in the last year were included in this study, their MPS data and CAG results were compared. Results: There was no statistically significant diagnostic concordance when visual evaluation of MPS, quantitative MPS parameters and exercise treadmill test (ETT) electrocardiography results were used alone. In fact, diagnostic concordance was higher when automated analysis parameters like TID, SSS and extent values were added to MPS SPECT visual analyses. There was diagnostic concordance in 57.9% of APST patients and 41.7% of ETT patients. There was diagnostic concordance in 75.8% of APST patients and 52.6% of ETT patients who were older than 65 years of age. Conclusion: In our study, we found that the use of APST during MPS increases diagnostic concordance with CAG. Therefore, we think that it would be appropriate to use APST in women and elderly patients with limited exercise habits. The CAG diagnostic mismatch is far above what it should be when MPS reporting is only done with visual data, and it is not supported by quantitative data such as TID, SSS, SDS and extent.

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“…It was also known that stress-induced left ventricle geometric change may cause reversible perfusion defects in DCMP. Exercise-induced coronary spasm, mitral valve prolapse, and aortic valve stenosis had been associated with myocardial perfusion abnormalities [ 20 ]. In hypertrophic cardiomyopathy, there is thickening of the myocardium, practically the septum; this can result in significant increased activity in the septum, which results in the significant deceased uptake in the other myocardial walls creating perfusion abnormalities [ 21 ].…”

Section: Discussionmentioning

confidence: 99%

The Relationship Between Absence Coronary Artery Calcification and Myocardial Perfusion Single Photon Emission Computed Tomography

Alanazi¹,

Alduraibi²,

Shoukri

et al. 2018

Cardiol Res

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BackgroundCoronary artery calcification score (CACS) is well validated prognostic tool in coronary artery disease (CAD). The data on the prevalence of myocardial ischemia on myocardial perfusion single photon emission computed tomography (MPS) in symptomatic patients with zero CACS and low to intermediate risk probability is lacking and controversial. The aim of our study was to evaluate the capability of zero CACS to exclude myocardial ischemia on MPS.MethodsA total of 157 patients ((mean age 53 ± 10 years), 88 (56%) female patients, 69 (44%) male patients) who were suspected to have CAD and having low to intermediate pretest likelihood for CAD underwent CACS on dedicated computed tomography (CT) scanners. CACS was reported as zero in all patients, subsequently all patients underwent MPS. Patients with abnormal MPS underwent additional imaging with coronary computed tomography angiography (CCTA).ResultsAll patients had zero CACS, of which 122 (78%) had normal MPS, and 35 (22%) had abnormal MPS. Abnormal MPS included fixed defect in 22 (13%), equivocal in 10 (6%), and reversible defect in four (3%) patients. All patients with abnormal MPS had further imaging with CTCA. CTCA was normal in 30 (85%) patients, one patient had coronary artery stenosis more than 50%, one patient had coronary artery stenosis less than 50%, one patient had anomalous origin coronary artery, and two patients had myocardial bridging. Patients with abnormal MPS and normal coronary artery had dilated cardiomyopathy in 14 (40%), asymmetrical septal hypotrophy in one (3%), and mitral valve disease in three (9%).ConclusionsZero CACS in stable patients with low or intermediate risk indicated very low likelihood of obstructive CAD, less than 1%. Patients with zero CACS and normal MPS most likely will not benefit from further testing; however, patients with abnormal MPS will need further imaging with CCTA. CCTA is helpful in this group of patients for evaluation of coronary artery and cardiac morphology.

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Coronary artery disease detection - limitations of stress testing in left ventricular dysfunction

Cited by 6 publications

References 58 publications

Detection of Diseases Using Machine Learning Image Recognition Technology in Artificial Intelligence

Detection of Diseases Using Machine Learning Image Recognition Technology in Artificial Intelligence

Evaluation of Myocardial Perfusion Imaging SPECT Parameters and Pharmacologic Stress Test with Adenosine Versus Coronary Angiography Findings: Are They Diagnostically Concordant?

The Relationship Between Absence Coronary Artery Calcification and Myocardial Perfusion Single Photon Emission Computed Tomography

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