Saba L, Cau R, Murgia A et al (2024) Carotid Plaque-RADS: a novel stroke risk classification system. JACC Cardiovasc Imaging 17:62–75
Joh JH, Cho S (2020) Cardiovascular risk of carotid atherosclerosis: global consensus beyond societal guidelines. Lancet Glob Health 8:e625–e626
Mughal MM, Khan MK, DeMarco JK, Majid A, Shamoun F, Abela GS (2011) Symptomatic and asymptomatic carotid artery plaque. Expert Rev Cardiovasc Ther 9:1315–1330
Article PubMed PubMed Central Google Scholar
Kamtchum-Tatuene J, Noubiap JJ, Wilman AH, Saqqur M, Shuaib A, Jickling GC (2020) Prevalence of high-risk plaques and risk of stroke in patients with asymptomatic carotid stenosis: a meta-analysis. JAMA Neurol 77:1524–1535
Article PubMed PubMed Central Google Scholar
Fabiani I, Palombo C, Caramella D, Nilsson J, De Caterina R (2020) Imaging of the vulnerable carotid plaque: role of imaging techniques and a research agenda. Neurology 94:922–932
Saba L, Yuan C, Hatsukami TS et al (2018) Carotid artery wall imaging: perspective and guidelines from the ASNR vessel wall imaging study group and expert consensus recommendations of the American society of neuroradiology. AJNR Am J Neuroradiol 39:E9–E31
Article CAS PubMed PubMed Central Google Scholar
Saba L, Moody AR, Saam T et al (2020) Vessel wall-imaging biomarkers of carotid plaque vulnerability in stroke prevention trials: a viewpoint from the Carotid Imaging Consensus Group. JACC Cardiovasc Imaging 13:2445–2456
Murgia A, Erta M, Suri JS, Gupta A, Wintermark M, Saba L (2020) CT imaging features of carotid artery plaque vulnerability. Ann Transl Med 8:1261
Article CAS PubMed PubMed Central Google Scholar
Baradaran H, Gupta A (2020) Carotid vessel wall imaging on CTA. AJNR Am J Neuroradiol 41:380–386
Article CAS PubMed PubMed Central Google Scholar
Chrencik MT, Khan AA, Luther L et al (2019) Quantitative assessment of carotid plaque morphology (geometry and tissue composition) using computed tomography angiography. J Vasc Surg 70:858–868
Article PubMed PubMed Central Google Scholar
Nie JY, Chen WX, Zhu Z, Zhang MY, Zheng YJ, Wu QD (2024) Initial experience with radiomics of carotid perivascular adipose tissue in identifying symptomatic plaque. Front Neurol 15:1340202
Article PubMed PubMed Central Google Scholar
Chen C, Tang W, Chen Y et al (2023) Computed tomography angiography-based radiomics model to identify high-risk carotid plaques. Quant Imaging Med Surg 13:6089–6104
Article CAS PubMed PubMed Central Google Scholar
van Assen M, Tariq A, Razavi AC, Yang C, Banerjee I, De Cecco CN (2023) Fusion modeling: combining clinical and imaging data to advance cardiac care. Circ Cardiovasc Imaging 16:e014533
PubMed PubMed Central Google Scholar
Pujadas ER, Raisi-Estabragh Z, Szabo L et al (2023) Prediction of incident cardiovascular events using machine learning and CMR radiomics. Eur Radiol 33:3488–3500
Baessler B, Engelhardt S, Hekalo A et al (2024) Perfect match: radiomics and artificial intelligence in cardiac imaging. Circ Cardiovasc Imaging 17:e015490
Zhang R, Zhang Q, Ji A et al (2021) Identification of high-risk carotid plaque with MRI-based radiomics and machine learning. Eur Radiol 31:3116–3126
Zhang S, Gao L, Kang B, Yu X, Zhang R, Wang X (2022) Radiomics assessment of carotid intraplaque hemorrhage: detecting the vulnerable patients. Insights Imaging 13:200
Article PubMed PubMed Central Google Scholar
Zhang X, Hua Z, Chen R et al (2023) Identifying vulnerable plaques: a 3D carotid plaque radiomics model based on HRMRI. Front Neurol 14:1050899
Article PubMed PubMed Central Google Scholar
Jamthikar A, Gupta D, Khanna NN et al (2019) A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes. Cardiovasc Diagn Ther 9:420–430
Article PubMed PubMed Central Google Scholar
Su SS, Li LY, Wang Y, Li YZ (2023) Stroke risk prediction by color Doppler ultrasound of carotid artery-based deep learning using Inception V3 and VGG-16. Front Neurol 14:1111906
Article PubMed PubMed Central Google Scholar
Saba L, Sanagala SS, Gupta SK et al (2021) Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application. Ann Transl Med 9:1206
Article CAS PubMed PubMed Central Google Scholar
Pisu F, Chen H, Jiang B et al (2024) Machine learning detects symptomatic patients with carotid plaques based on 6-type calcium configuration classification on CT angiography. Eur Radiol 34:3612–3623
Article CAS PubMed Google Scholar
Liu M, Chang N, Zhang S et al (2023) Identification of vulnerable carotid plaque with CT-based radiomics nomogram. Clin Radiol 78:e856–e863
Article CAS PubMed Google Scholar
Cai JM, Hatsukami TS, Ferguson MS, Small R, Polissar NL, Yuan C (2002) Classification of human carotid atherosclerotic lesions with in vivo multicontrast magnetic resonance imaging. Circulation 106:1368–1373
Mylona E, Zaridis DI, Kalantzopoulos C et al (2024) Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences. Insights Imaging 15:265
Article PubMed PubMed Central Google Scholar
Chen M, Linton-Reid K, Aboagye EO, Copley SJ (2025) Translating radiomics into clinical practice: a step-by-step guide to study design and evaluation. Clin Radiol 90:107053
Article CAS PubMed Google Scholar
Van Calster B, McLernon DJ, van Smeden M et al (2019) Calibration: the Achilles heel of predictive analytics. BMC Med 17:230
Article PubMed PubMed Central Google Scholar
Vickers AJ, Woo S (2022) Decision curve analysis in the evaluation of radiology research. Eur Radiol 32:5787–5789
Xv Y, Xiao B, Wei Z et al (2025) Interpretable CT radiomics-based machine learning model for preoperative prediction of Ki-67 expression in clear cell renal cell carcinoma. Acad Radiol 32:2739–2750
Wang H, Xu J, Ye C et al (2025) An explainable CT-based machine learning model integrating carotid plaque and perivascular adipose tissue for predicting symptomatic plaques. Front Neurol 16:1679861
Article PubMed PubMed Central Google Scholar
Zhang W, Wang Z, Xu Q et al (2026) Identification of symptomatic carotid plaque by CTA-based radiomics: a multicenter study. Front Neurol 17:1750076
Article PubMed PubMed Central Google Scholar
Luo X, Hu B, Zhou S et al (2025) CAP-Net: carotid artery plaque segmentation system based on computed tomography angiography. Acad Radiol 32:6194–6204
Comments (0)