Chiheb Louizi, Eya Khadhraoui, Joachim Lotz, Daniel Behme, Erelle Fuchs, Johannes T Kowallick, Sebastian J Müller
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Additional clinical data were obtained from digital patient records.</p><p><strong>Results: </strong>We analyzed data from 120 patients (57 females, mean age 68 years, standard deviation 14 years) and found a correlation between coronary artery disease and both age (<i>r</i> = 0.48, <i>α</i> = 0.04) and Fazekas score (periventricular r = 0.46, subcortical and deep white matter r = 0.55). A linear model including age, coronary artery disease, diabetes and arterial hypertension served as a predictor for white matter disease and showed significant correlations. Adding (1) atherosclerosis as well as (2) carotid stenosis to the model resulted in (1) a slight decrease in significance and (2) the unmasking of a potential spurious correlation with carotid stenosis.</p><p><strong>Conclusion: </strong>There is a significant correlation between white matter hyperintensities and both carotid stenoses and coronary artery disease. This finding is clinically relevant: in patients with white matter hyperintensities and coronary artery disease, carotid stenosis should be ruled out.</p>","PeriodicalId":73094,"journal":{"name":"Frontiers in neuroimaging","volume":"4 ","pages":"1559481"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12247173/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association of cervical artery stenosis with common cerebral microvascular lesions and coronary artery calcifications.\",\"authors\":\"Chiheb Louizi, Eya Khadhraoui, Joachim Lotz, Daniel Behme, Erelle Fuchs, Johannes T Kowallick, Sebastian J Müller\",\"doi\":\"10.3389/fnimg.2025.1559481\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>A connection between cerebral white matter hyperintensities and coronary artery disease is widely discussed. Both conditions are more prevalent in the elderly. While white matter hyperintensities are often associated with small vessel disease, atherosclerosis is the primary cause of coronary artery disease.</p><p><strong>Methods: </strong>We evaluated staging CT scans of the body and staging brain MRIs from patients with newly diagnosed malignant melanoma (without metastasis) between 01/01/2015 and 06/30/2023. CT scans were assessed for coronary artery disease using a modified overall visual assessment. Fazekas scores were used to evaluate the MRI for white matter changes. Additional clinical data were obtained from digital patient records.</p><p><strong>Results: </strong>We analyzed data from 120 patients (57 females, mean age 68 years, standard deviation 14 years) and found a correlation between coronary artery disease and both age (<i>r</i> = 0.48, <i>α</i> = 0.04) and Fazekas score (periventricular r = 0.46, subcortical and deep white matter r = 0.55). A linear model including age, coronary artery disease, diabetes and arterial hypertension served as a predictor for white matter disease and showed significant correlations. Adding (1) atherosclerosis as well as (2) carotid stenosis to the model resulted in (1) a slight decrease in significance and (2) the unmasking of a potential spurious correlation with carotid stenosis.</p><p><strong>Conclusion: </strong>There is a significant correlation between white matter hyperintensities and both carotid stenoses and coronary artery disease. This finding is clinically relevant: in patients with white matter hyperintensities and coronary artery disease, carotid stenosis should be ruled out.</p>\",\"PeriodicalId\":73094,\"journal\":{\"name\":\"Frontiers in neuroimaging\",\"volume\":\"4 \",\"pages\":\"1559481\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12247173/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in neuroimaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/fnimg.2025.1559481\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in neuroimaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fnimg.2025.1559481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景:脑白质高信号与冠状动脉疾病之间的关系被广泛讨论。这两种情况在老年人中更为普遍。虽然白质高强度通常与小血管疾病有关,但动脉粥样硬化是冠状动脉疾病的主要原因。方法:我们评估2015年1月1日至2023年6月30日期间新诊断的恶性黑色素瘤(无转移)患者的身体分期CT扫描和脑分期mri。采用改进的整体视觉评估方法评估CT扫描是否存在冠状动脉疾病。Fazekas评分用于评估MRI白质变化。其他临床数据从数字患者记录中获得。结果:我们分析数据从120例(57岁女性,平均年龄68 年,标准差 14年),发现一个冠状动脉疾病和年龄之间的相关性(r = 0.48,α = 0.04)和法泽卡斯得分(室旁0.46 r = ,皮层下白质和深度0.55 r = )。包括年龄、冠状动脉疾病、糖尿病和动脉高血压在内的线性模型可作为白质疾病的预测因子,并显示出显著的相关性。在模型中加入(1)动脉粥样硬化和(2)颈动脉狭窄导致(1)显著性略有降低,(2)揭示了与颈动脉狭窄的潜在虚假相关性。结论:颈动脉狭窄和冠状动脉病变与白质高信号均有显著相关性。这一发现具有临床相关性:在白质高信号和冠状动脉疾病的患者中,应排除颈动脉狭窄。
Association of cervical artery stenosis with common cerebral microvascular lesions and coronary artery calcifications.
Background: A connection between cerebral white matter hyperintensities and coronary artery disease is widely discussed. Both conditions are more prevalent in the elderly. While white matter hyperintensities are often associated with small vessel disease, atherosclerosis is the primary cause of coronary artery disease.
Methods: We evaluated staging CT scans of the body and staging brain MRIs from patients with newly diagnosed malignant melanoma (without metastasis) between 01/01/2015 and 06/30/2023. CT scans were assessed for coronary artery disease using a modified overall visual assessment. Fazekas scores were used to evaluate the MRI for white matter changes. Additional clinical data were obtained from digital patient records.
Results: We analyzed data from 120 patients (57 females, mean age 68 years, standard deviation 14 years) and found a correlation between coronary artery disease and both age (r = 0.48, α = 0.04) and Fazekas score (periventricular r = 0.46, subcortical and deep white matter r = 0.55). A linear model including age, coronary artery disease, diabetes and arterial hypertension served as a predictor for white matter disease and showed significant correlations. Adding (1) atherosclerosis as well as (2) carotid stenosis to the model resulted in (1) a slight decrease in significance and (2) the unmasking of a potential spurious correlation with carotid stenosis.
Conclusion: There is a significant correlation between white matter hyperintensities and both carotid stenoses and coronary artery disease. This finding is clinically relevant: in patients with white matter hyperintensities and coronary artery disease, carotid stenosis should be ruled out.