[HTML][HTML] Deep learning with radiomics for disease diagnosis and treatment: challenges and potential
The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and�…
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and�…
[HTML][HTML] Introduction to radiomics for a clinical audience
C McCague, S Ramlee, M Reinius, I Selby, D Hulse…�- Clinical Radiology, 2023 - Elsevier
Radiomics is a rapidly developing field of research focused on the extraction of quantitative
features from medical images, thus converting these digital images into minable, high�…
features from medical images, thus converting these digital images into minable, high�…
[HTML][HTML] Impact of virtual monoenergetic levels on coronary plaque volume components using photon-counting computed tomography
Abstract Objectives Virtual monoenergetic images (VMIs) from photon-counting CT (PCCT)
may change quantitative coronary plaque volumes. We aimed to assess how plaque�…
may change quantitative coronary plaque volumes. We aimed to assess how plaque�…
Radiomics-based precision phenotyping identifies unstable coronary plaques from computed tomography angiography
A Lin, M Kolossv�ry, S Cadet, P McElhinney…�- Cardiovascular�…, 2022 - jacc.org
Objectives The aim of this study was to precisely phenotype culprit and nonculprit lesions in
myocardial infarction (MI) and lesions in stable coronary artery disease (CAD) using�…
myocardial infarction (MI) and lesions in stable coronary artery disease (CAD) using�…
[HTML][HTML] Artificial intelligence in coronary computed tomography angiography: Demands and solutions from a clinical perspective
Coronary computed tomography angiography (CCTA) is increasingly the cornerstone in the
management of patients with chronic coronary syndromes. This fact is reflected by current�…
management of patients with chronic coronary syndromes. This fact is reflected by current�…
[HTML][HTML] Cardiac computed tomography radiomics for the non-invasive assessment of coronary inflammation
Radiomics, via the extraction of quantitative information from conventional radiologic
images, can identify imperceptible imaging biomarkers that can advance the�…
images, can identify imperceptible imaging biomarkers that can advance the�…
Radiomics features of pericoronary adipose tissue improve CT-FFR performance in predicting hemodynamically significant coronary artery stenosis
L Yu, X Chen, R Ling, Y Yu, W Yang, J Sun…�- European Radiology, 2023 - Springer
Objectives To evaluate the value of radiomics-based model of pericoronary adipose tissue
(PCAT) combined with CT fractional flow reserve (CT-FFR) in predicting hemodynamically�…
(PCAT) combined with CT fractional flow reserve (CT-FFR) in predicting hemodynamically�…
Deep learning–based atherosclerotic coronary plaque segmentation on coronary CT angiography
N J�vorszky, B Homonnay, G Gerstenblith…�- European�…, 2022 - Springer
Objectives Volumetric evaluation of coronary artery disease (CAD) allows better prediction
of cardiac events. However, CAD segmentation is labor intensive. Our objective was to�…
of cardiac events. However, CAD segmentation is labor intensive. Our objective was to�…
A radiomic approach to predict myocardial fibrosis on coronary CT angiography in hypertrophic cardiomyopathy
Background Late gadolinium enhancement (LGE) derived from cardiac magnetic resonance
(CMR) represents myocardial fibrosis (MF) and is associated with prognosis in hypertrophic�…
(CMR) represents myocardial fibrosis (MF) and is associated with prognosis in hypertrophic�…
Temporal assessment of lesion morphology on radiological images beyond lesion volumes—a proof-of-principle study
Objectives To develop a general framework to assess temporal changes in lesion
morphology on radiological images beyond volumetric changes and to test whether cocaine�…
morphology on radiological images beyond volumetric changes and to test whether cocaine�…