从斑块精准评估到个体化决策:Plaque-RADS分级系统引领高龄患者CEA安全阈值的再定义
From Plaque-Specific Assessment to Personalized Decision-Making: The Plaque-RADS Classification System Redefines Safety Thresholds for CEA in Elderly Patients
摘要: 本文系统阐述了Plaque-RADS分级系统在高龄患者颈动脉疾病管理中的应用价值及其对CEA手术决策的革新意义。作为新型影像评估体系,Plaque-RADS通过整合斑块厚度、溃疡、内出血等关键形态学特征,构建了四级风险分层标准(Plaque-RADS 1-4),突破了传统狭窄度评估的局限。研究证实,该系统对中轻度狭窄但斑块不稳定的患者具有独特识别价值,其中Plaque-RADS 3-4患者卒中风险显著升高,为临床决策提供了新依据。针对高龄患者的手术风险难题,Plaque-RADS实现了三大突破:首先,将CEA适应症从单纯狭窄标准拓展至斑块易损性评估;其次,通过量化年龄相关风险因素,优化围术期风险评估模型;第三,指导个体化治疗选择,如对高风险患者优先选择CEA而非支架治疗。临床数据显示,该系统使卒中预测的净重分类改善达63.8%,显著提升了手术决策的精准度。Plaque-RADS的应用标志着颈动脉疾病管理进入精准医疗时代,其多维度评估模式为高龄患者提供了更科学的手术安全阈值界定标准,具有重要的临床推广价值。
Abstract: This study comprehensively elucidates the clinical value of the Plaque-RADS classification system in the management of carotid artery disease among elderly patients and its transformative significance for CEA surgical decision-making. As an advanced imaging evaluation system, Plaque-RADS establishes a four-tier risk stratification standard (Plaque-RADS 1-4) by integrating critical morphological characteristics including plaque thickness, ulceration, and intraplaque hemorrhage, thereby overcoming the limitations of traditional stenosis-based assessment. Clinical studies confirm the system's unique capability to identify patients with moderate-to-mild stenosis but unstable plaques, demonstrating that Plaque-RADS 3-4 patients exhibit significantly elevated stroke risk, providing novel evidence for clinical decision-making. Regarding surgical risk management in elderly patients, Plaque-RADS achieves three major breakthroughs: Expansion of CEA indications from stenosis-based criteria to comprehensive plaque vulnerability assessment; Optimization of perioperative risk evaluation models through quantification of age-related risk factors; Guidance for personalized treatment selection, including preferential CEA over stenting for high-risk patients. Clinical data demonstrate that this system achieves a net reclassification improvement of 63.8% in stroke prediction, significantly enhancing decision-making precision. The implementation of Plaque-RADS marks the advent of precision medicine in carotid disease management, with its multidimensional assessment model establishing more scientific safety thresholds for elderly patients, underscoring its significant clinical value for widespread adoption.
文章引用:李刚, 米新佳, 施昌泽, 王中辉, 赵开胜. 从斑块精准评估到个体化决策:Plaque-RADS分级系统引领高龄患者CEA安全阈值的再定义[J]. 临床医学进展, 2025, 15(8): 888-896. https://doi.org/10.12677/acm.2025.1582312

参考文献

[1] Huang, Z., Cheng, X., Lu, R., Bi, X., Liu, Y. and Deng, Y. (2025) Incremental Prognostic Value of Carotid Plaque-Rads over Stenosis Degree in Relation to Stroke Risk. JACC: Cardiovascular Imaging, 18, 77-89. [Google Scholar] [CrossRef] [PubMed]
[2] Kuehnl, A., Knappich, C., Kirchhoff, F., Bohmann, B., Lohe, V., Naher, S., et al. (2024) Identification of Patient Characteristics That May Improve Procedure Selection for the Treatment of Carotid Stenosis. British Journal of Surgery, 111, znae227. [Google Scholar] [CrossRef] [PubMed]
[3] Nies, K.P.H., Smits, L.J.M., van Kuijk, S.M.J., Hosseini, A.A., van Dam-Nolen, D.H.K., Kwee, R.M., et al. (2025) Individualized MRI-Based Stroke Prediction Score Using Plaque Vulnerability for Symptomatic Carotid Artery Disease Patients (Improve). Stroke, 56, 2068-2078. [Google Scholar] [CrossRef] [PubMed]
[4] Saba, L., Cau, R., Murgia, A., Nicolaides, A.N., Wintermark, M., Castillo, M., et al. (2024) Carotid Plaque-RADS: A Novel Stroke Risk Classification System. JACC: Cardiovascular Imaging, 17, 62-75. [Google Scholar] [CrossRef] [PubMed]
[5] Song, J.W., Phi, H.Q., Koneru, M., Cao, Q., Rubin, J., Sakai, Y., et al. (2025) Prevalence of High-Risk Cta-Based Carotid Plaque-Rads Subtypes in Patients with Embolic Stroke of Undetermined Source. Stroke, 56, 737-740. [Google Scholar] [CrossRef] [PubMed]
[6] Huang, Z., Cheng, X., Lu, R., Liu, Y., Bi, X. and Deng, Y. (2025) Correlation of Plaque Vulnerability Stratified by Carotid Plaque-Reporting and Data System with Outcomes of Endarterectomy vs Stenting. Journal of Vascular Surgery. [Google Scholar] [CrossRef] [PubMed]
[7] Saba, L., Scicolone, R., Chabert, G.L., Bos, D., Kopczak, A., Mossa-Basha, M., et al. (2025) Carotid Plaque-Rads: Inter-and Intra-Reader Agreement and Learning Curve Analysis in Computed Tomography Angiography. American Journal of Neuroradiology. [Google Scholar] [CrossRef] [PubMed]
[8] Aizaz, M., Bierens, J., Gijbels, M.J.J., Schreuder, T.H.C.M.L., van Orshoven, N.P., Daemen, J.H.C., et al. (2025) Differentiation of Atherosclerotic Carotid Plaque Components with Dual-Energy Computed Tomography. Investigative Radiology, 60, 508-516. [Google Scholar] [CrossRef] [PubMed]
[9] Yilmaz, M.T., Cengiz, M., Kahvecioglu, A., Yigit, E., Yuce Sari, S., Yildiz, D., et al. (2025) Fifteen Years of Experience with Stereotactic Body Radiation Therapy for Recurrent Head and Neck Cancers: A Detailed Analysis of Patients with Carotid Blowout Syndrome. International Journal of Radiation Oncology Biology Physics. [Google Scholar] [CrossRef] [PubMed]
[10] Saliba, T., Cappeliez, O., Pather, S. and Maisonnier, H. (2025) Case 335: Accidental Intra-Arterial Injection of Contrast Material. Radiology, 314, e241602. [Google Scholar] [CrossRef] [PubMed]
[11] Czinege, Z., Sándor, Á.D., Gyürki, D., Varga, A., Csípő, T., Székely, A., et al. (2024) Understanding Perioperative Risk Determinants in Carotid Endarterectomy: The Impact of Compromised Circle of Willis Morphology on Inter-Hemispheric Blood Flow Indices Based on Intraoperative Internal Carotid Artery Stump Pulse Pressure and Backflow Patterns. GeroScience, 47, 2159-2177. [Google Scholar] [CrossRef] [PubMed]
[12] Leung, Y.Y.R., Bera, K., Urriza Rodriguez, D., Dardik, A., Mas, J., Simonte, G., et al. (2023) Safety of Carotid Endarterectomy for Symptomatic Stenosis by Age: Meta-Analysis with Individual Patient Data. Stroke, 54, 457-467. [Google Scholar] [CrossRef] [PubMed]
[13] Perez-Troncoso, D., Epstein, D., Davies, A.H. and Thapar, A. (2022) Cost-Effectiveness of Carotid Endarterectomy in Symptomatic Patients. British Journal of Surgery, 110, 193-199. [Google Scholar] [CrossRef] [PubMed]
[14] Lineback, C.M., Stamm, B., Sorond, F. and Caprio, F.Z. (2022) Carotid Disease, Cognition, and Aging: Time to Redefine Asymptomatic Disease? GeroScience, 45, 719-725. [Google Scholar] [CrossRef] [PubMed]
[15] Sun, T., Wang, F., He, Y., Mao, B., Han, M., Liu, H., et al. (2022) Enlarged Pericarotid Lymph Nodes Suggest Recent Ischemic Symptoms in Patients with Carotid Atherosclerosis. Frontiers in Immunology, 13, Article 900642. [Google Scholar] [CrossRef] [PubMed]
[16] Strömberg, S., Holsti, M., Persson, S., Nordanstig, A., Nordanstig, J. and Johansson, E. (2024) Two or More Ischaemic Events within Seven Days before Carotid Endarterectomy Increases the Risk of Peri-Operative Stroke or Death. European Journal of Vascular and Endovascular Surgery, 68, 704-711. [Google Scholar] [CrossRef] [PubMed]
[17] Uchida, K., Sakakibara, F., Sakai, N., Iihara, K., Imamura, H., Ishii, A., et al. (2024) Real-World Outcomes of Carotid Artery Stenting in Symptomatic and Asymptomatic Patients with Carotid Artery Stenosis. JACC: Cardiovascular Interventions, 17, 1148-1159. [Google Scholar] [CrossRef] [PubMed]
[18] Liang, P., Cronenwett, J.L., Secemsky, E.A., Eldrup-Jorgensen, J., Malas, M.B., Wang, G.J., et al. (2023) Risk of Stroke, Death, and Myocardial Infarction Following Transcarotid Artery Revascularization vs Carotid Endarterectomy in Patients with Standard Surgical Risk. JAMA Neurology, 80, 437-444. [Google Scholar] [CrossRef] [PubMed]
[19] Kline, L.A., Kothandaraman, V., Knio, Z.O. and Zuo, Z. (2023) Effect of Regional versus General Anesthesia on Thirty-Day Outcomes Following Carotid Endarterectomy: A Cohort Study. International Journal of Surgery, 109, 1291-1298. [Google Scholar] [CrossRef] [PubMed]
[20] Kirchhoff, F., Eckstein, H., Schmid, S., Schmidt, S., Mergen, J., Dridi, S., et al. (2023) Locoregional Anaesthesia and Intra-Operative Angiography in Carotid Endarterectomy: 16 Year Results of a Consecutive Single Centre Series. European Journal of Vascular and Endovascular Surgery, 65, 223-232. [Google Scholar] [CrossRef] [PubMed]
[21] Succar, B., Chou, Y., Hsu, C., Rapcsak, S., Trouard, T. and Zhou, W. (2024) Carotid Revascularization Is Associated with Improved Mood in Patients with Advanced Carotid Disease. Annals of Surgery, 281, 698-702. [Google Scholar] [CrossRef] [PubMed]
[22] Donners, S.J.A., van Velzen, T.J., Cheng, S.F., Gregson, J., Hazewinkel, A., Pizzini, F.B., et al. (2025) Optimised Medical Therapy Alone versus Optimised Medical Therapy Plus Revascularisation for Asymptomatic or Low-To-Intermediate Risk Symptomatic Carotid Stenosis (ECST-2): 2-Year Interim Results of a Multicentre Randomised Trial. The Lancet Neurology, 24, 389-399. [Google Scholar] [CrossRef] [PubMed]
[23] Musialek, P., Bonati, L.H., Bulbulia, R., Halliday, A., Bock, B., Capoccia, L., et al. (2023) Stroke Risk Management in Carotid Atherosclerotic Disease: A Clinical Consensus Statement of the ESC Council on Stroke and the ESC Working Group on Aorta and Peripheral Vascular Diseases. Cardiovascular Research, 121, 13-43. [Google Scholar] [CrossRef] [PubMed]
[24] Palipana, A.K., Gecili, E., Song, S., Johnson, S.R., Szczesniak, R.D. and Gupta, N. (2023) Predicting Individualized Lung Disease Progression in Treatment-Naive Patients with Lymphangioleiomyomatosis. CHEST, 163, 1458-1470. [Google Scholar] [CrossRef] [PubMed]
[25] Gasior, S.A., O’Donnell, J.P.M., Davey, M., Clarke, J., Jalali, A., Ryan, É., et al. (2023) Optimal Management of Asymptomatic Carotid Artery Stenosis: A Systematic Review and Network Meta-Analysis. European Journal of Vascular and Endovascular Surgery, 65, 690-699. [Google Scholar] [CrossRef] [PubMed]
[26] Magyar-Stang, R., Pál, H., Csányi, B., Gaál, A., Mihály, Z., Czinege, Z., et al. (2023) Assessment of Cerebral Autoregulatory Function and Inter-Hemispheric Blood Flow in Older Adults with Internal Carotid Artery Stenosis Using Transcranial Doppler Sonography-Based Measurement of Transient Hyperemic Response after Carotid Artery Compression. GeroScience, 45, 3333-3357. [Google Scholar] [CrossRef] [PubMed]
[27] Fresilli, D., Di Leo, N., Martinelli, O., Di Marzo, L., Pacini, P., Dolcetti, V., et al. (2022) 3D-Arterial Analysis Software and CEUS in the Assessment of Severity and Vulnerability of Carotid Atherosclerotic Plaque: A Comparison with CTA and Histopathology. La radiologia medica, 127, 1254-1269. [Google Scholar] [CrossRef] [PubMed]
[28] Wang, M., Guo, Y., Hippe, D.S., Zhao, X., Yuan, C., Saba, L., et al. (2025) Plaque RADS Related to Cerebrovascular Event Risk with Mild/Moderate Stenosis: A CARE II Study. American Journal of Neuroradiology. [Google Scholar] [CrossRef] [PubMed]
[29] Bir, S.C. and Kelley, R.E. (2022) Carotid Atherosclerotic Disease: A Systematic Review of Pathogenesis and Management. Brain Circulation, 8, 127-136. [Google Scholar] [CrossRef] [PubMed]
[30] Qian, J., Chi, Q., Zhu, L., Zhang, T., Ding, W., Yuan, R., et al. (2025) Carotid Plaque-Rads Score Combined with Pericarotid Fat Density—An Incremental Prediction Model for Stroke Recurrence. Academic Radiology, 32, 4807-4817. [Google Scholar] [CrossRef] [PubMed]
[31] Habib, S.G., Semaan, D.B., Hafeez, M., Abdul-Malak, O.M., Madigan, M.C. and Eslami, M.H. (2023) Trends in Mortality and Postoperative Complications among Octogenarian Patients Undergoing Carotid Endarterectomy. Journal of Vascular Surgery, 78, 132-140.e2. [Google Scholar] [CrossRef] [PubMed]
[32] Pakizer, D., Kozel, J., Taffé, P., Elmers, J., Feber, J., Michel, P., et al. (2024) Diagnostic Accuracy of Carotid Plaque Instability by Noninvasive Imaging: A Systematic Review and Meta-Analysis. European Heart JournalCardiovascular Imaging, 25, 1325-1335. [Google Scholar] [CrossRef] [PubMed]
[33] Kinoshita, D., Suzuki, K., Usui, E., Hada, M., Yuki, H., Niida, T., et al. (2024) High-Risk Plaques on Coronary Computed Tomography Angiography: Correlation with Optical Coherence Tomography. JACC: Cardiovascular Imaging, 17, 382-391. [Google Scholar] [CrossRef] [PubMed]
[34] Vecsey-Nagy, M., Tremamunno, G., Schoepf, U.J., Gnasso, C., Zsarnóczay, E., Fink, N., et al. (2025) Coronary Plaque Quantification with Ultrahigh-Spatial-Resolution Photon-Counting Detector CT: Intraindividual Comparison with Energy-Integrating Detector CT. Radiology, 314, e241479. [Google Scholar] [CrossRef] [PubMed]
[35] Rapillo, C.M., Giuricin, A., Sarti, C., Nesi, M., Marcheselli, S., Lombardo, I., et al. (2025) Prevalence of Carotid Plaques with High-Risk Features in Embolic Stroke of Undetermined Source: Systematic Review and Meta-Analysis. International Journal of Stroke, 20, 636-645. [Google Scholar] [CrossRef] [PubMed]
[36] Balmforth, C., McDermott, M., Khaing, P., Dweck, M.R. and Newby, D.E. (2025) Identification and Management of Non-Obstructive High-Risk Coronary Artery Plaque. Heart. [Google Scholar] [CrossRef] [PubMed]
[37] Onnis, C., Virmani, R., Madra, A., Nardi, V., Salgado, R., Montisci, R., et al. (2024) Whys and Wherefores of Coronary Arterial Positive Remodeling. Arteriosclerosis, Thrombosis, and Vascular Biology, 44, 2416-2427. [Google Scholar] [CrossRef] [PubMed]
[38] Sarraju, A. and Nissen, S.E. (2024) Atherosclerotic Plaque Stabilization and Regression: A Review of Clinical Evidence. Nature Reviews Cardiology, 21, 487-497. [Google Scholar] [CrossRef] [PubMed]
[39] Vergallo, R., Park, S., Stone, G.W., Erlinge, D., Porto, I., Waksman, R., et al. (2025) Vulnerable or High-Risk Plaque. JACC: Cardiovascular Imaging, 18, 709-740. [Google Scholar] [CrossRef] [PubMed]
[40] Vatsa, N., Faaborg-Andersen, C., Dong, T., Blaha, M.J., Shaw, L.J. and Quintana, R.A. (2024) Coronary Atherosclerotic Plaque Burden Assessment by Computed Tomography and Its Clinical Implications. Circulation: Cardiovascular Imaging, 17, e016443. [Google Scholar] [CrossRef] [PubMed]
[41] Föllmer, B., Williams, M.C., Dey, D., Arbab-Zadeh, A., Maurovich-Horvat, P., Volleberg, R.H.J.A., et al. (2023) Roadmap on the Use of Artificial Intelligence for Imaging of Vulnerable Atherosclerotic Plaque in Coronary Arteries. Nature Reviews Cardiology, 21, 51-64. [Google Scholar] [CrossRef] [PubMed]
[42] Lee, J.W., Kim, J.Y., Han, K., Lee, K.H., Im, D.J., Park, C.H., et al. (2025) Utility of CAD-RADS 2.0 Plaque Burden Grades and Stenosis Categories on Coronary CTA for Predicting Cardiac Events in Patients with Acute Chest Pain: A Multicenter Study. American Journal of Roentgenology. [Google Scholar] [CrossRef] [PubMed]
[43] Chen, Q., Xie, G., Tang, C.X., Yang, L., Xu, P., Gao, X., et al. (2023) Development and Validation of CCTA-Based Radiomics Signature for Predicting Coronary Plaques with Rapid Progression. Circulation: Cardiovascular Imaging, 16, e015340. [Google Scholar] [CrossRef] [PubMed]