Image resampling and discretization effect on the estimate of myocardial radiomic features from T1 and T2 mapping in hypertrophic cardiomyopathy

D Marfisi, C Tessa, C Marzi, J Del Meglio… - Scientific Reports, 2022 - nature.com
Radiomics is emerging as a promising and useful tool in cardiac magnetic resonance (CMR)
imaging applications… of image resampling/discretization and filtering on radiomic features …

Development and validation of a machine learning-based radiomics model on cardiac computed tomography of epicardial adipose tissue in predicting characteristics …

M Yang, Q Cao, Z Xu, Y Ge, S Li, F Yan… - … in cardiovascular …, 2022 - frontiersin.org
… medical images with high throughput (18–20). In the cardiovascular imaging field, radiomics
has … , this study aims to analyze radiomic features extracted from the LA-EAT on cardiac CT …

CT radiomic features and clinical biomarkers for predicting coronary artery disease

C Militello, F Prinzi, G Sollami, L Rundo… - Cognitive …, 2023 - Springer
… This study was aimed to investigate the predictive value of the radiomics features extracted
… and radiomic data of 118 patients were retrospectively analyzed. In total, 93 radiomics

Radiomics from Cardiovascular MR Cine Images for Identifying Patients with Hypertrophic Cardiomyopathy at High Risk for Heart Failure

H Zhang, L Zhao, H Wang, Y Yi, K Hui… - … Imaging, 2024 - pubs.rsna.org
… In conclusion, radiomics features extracted from cardiac cine images offer … cardiac predictors
alone. A model combined with radiomics score as well as clinical and standard cardiac MRI …

[HTML][HTML] Radiomics of non-contrast-enhanced T1 mapping: diagnostic and predictive performance for myocardial injury in acute ST-segment-elevation myocardial …

Q Ma, Y Ma, T Yu, Z Sun, Y Hou - Korean Journal of Radiology, 2021 - ncbi.nlm.nih.gov
… Comparisons of the predictive performances among the T1 values, optimal radiomics
signature, and the combined radiomics model were performed using the Delong test. Categorical …

Radiomics in Cardiac CT

M Kolossváry, P Maurovich-Horvat - … in Cardiothoracic Imaging, 2022 - Springer
… AI applications such as radiomics have the potential to transform the field of cardiovascular
imaging. By … application is the use of these techniques for precision phenotyping of diseases. …

Integration of Cine-cardiac Magnetic Resonance Radiomics and Machine Learning for Differentiating Ischemic and Dilated Cardiomyopathy

J Deng, L Zhou, Y Li, Y Yu, J Zhang, B Liao, G Luo… - Academic …, 2024 - Elsevier
radiomics models exhibit outstanding diagnostic performance in predicting HCM (12). The
application of cine CMR-based radiomicsradiomic features from CMR cine sequence images

Radiomics for the detection of diffusely impaired myocardial perfusion: A proof-of-concept study using 13N-ammonia positron emission tomography

G Degtiarova, C Garefa, R Boehm, D Ciancone… - Journal of Nuclear …, 2023 - Springer
… in cardiology and cardiovascular imaging are now quite common in research 13 and a …
that the application of radiomics to myocardial perfusion radionuclide retention images yields …

Myocardial radiomics texture features associated with increased coronary calcium score—first results of a photon-counting CT

I Ayx, H Tharmaseelan, A Hertel, D Nörenberg… - Diagnostics, 2022 - mdpi.com
… semiautomatically by a radiologist with 9 years of experience in cardiovascular imaging.
Figure 2 shows an example segmentation of the left ventricular myocardium in the axial view. …

[HTML][HTML] Cardiac computed tomography radiomics: a narrative review of current status and future directions

J Shang, Y Guo, Y Ma, Y Hou - … Imaging in Medicine and Surgery, 2022 - ncbi.nlm.nih.gov
… Two investigators with an experience of 5 years in cardiovascular imaging diagnosis
independently checked each identified article for inclusion criteria. Disagreements were discussed …