Carotid intima-media thickness better differentiates between groups of stroke patients and persons without cerebrovascular disease than other conventional and novel risk factors

When measured by ultrasound, the morphological markers of carotid atherosclerosis such as intima-media thickness (IMT) and cross-sectional plaque area have been associated with the risk of ischaemic stroke. We set out to determine whether the morphological parameters of the carotid arteries made it possible to better differentiate between groups of older atherothrombotic stroke patients and persons without cerebrovascular disease than conventional and novel risk factors of stroke. Of the total number of 623 persons examined, 54 stroke patients (mean age 63.3 years) and 74 controls without cerebrovascular disease (mean age 66.3 years) fulfilled the inclusion criteria for this investigation and were enrolled in the case-control study. After adjustment for age, gender and education level, the strongest associations were found between stroke and carotid IMT [odds ratio (OR) = 10.6; 95% confidence interval (CI): 4.3–26.9] and plaque area (OR = 5.4; 95%CI: 2.3–13.1). Other risk factors showed weaker associations with stroke occurrence. Of the clinical risk factors, a significant association was found between stroke and coronary heart disease (OR = 3.5; 95%CI: 1.2–10.2), hypertension (OR = 3.2; 95%CI: 1.5–7.2) and smoking (OR = 2.7; 95%CI: 1.1–6.4). From the laboratory-derived risk factors a significant association was found between stroke and triglyceride levels (OR = 4.4; 95%CI: 1.9–10.0), and an inverse correlation was observed between stroke occurrence and HDL-cholesterol level (OR = 0.4; 95%CI: 0.2–0.8). The carotid IMT and plaque area, measured with the use of ultrasonography, showed a better correlation with stroke occurrence than currently recognised clinical and biochemical risk factors. The intima-media thickness and plaque area of the carotid arteries could be useful parameters in the development of strategies to identify patients at high risk of atherothrombotic ischaemic stroke

Prediction of Incomplete Response of Primary Tumour Based on Clinical and Radiomics Features in Inoperable Head and Neck Cancers after Definitive Treatment

Radical treatment of patients diagnosed with inoperable and locally advanced head and neck cancers (LAHNC) is still a challenge for clinicians. Prediction of incomplete response (IR) of primary tumour would be of value to the treatment optimization for patients with LAHNC. Aim of this study was to develop and evaluate models based on clinical and radiomics features for prediction of IR in patients diagnosed with LAHNC and treated with definitive chemoradiation or radiotherapy. Clinical and imaging data of 290 patients were included into this retrospective study. Clinical model was built based on tumour and patient related features. Radiomics features were extracted based on imaging data, consisting of contrast- and non-contrast-enhanced pre-treatment CT images, obtained in process of diagnosis and radiotherapy planning. Performance of clinical and combined models were evaluated with area under the ROC curve (AUROC). Classification performance was evaluated using 5-fold cross validation. Model based on selected clinical features including ECOG performance, tumour stage T3/4, primary site: oral cavity and tumour volume were significantly predictive for IR, with AUROC of 0.78. Combining clinical and radiomics features did not improve model’s performance, achieving AUROC 0.77 and 0.68 for non-contrast enhanced and contrast-enhanced images respectively. The model based on clinical features showed good performance in IR prediction. Combined model performance suggests that real-world imaging data might not yet be ready for use in predictive models