ABSTRACT
Dynamic assessment of cerebral blood flow (CBF) is crucial for guiding personalized management and treatment strategies, and improving the prognosis of stroke. However, a safe, reliable, and effective method for dynamic CBF evaluation is currently lacking in clinical practice. In this study, we developed a CBF monitoring system utilizing electromagnetic coupling sensing (ECS). This system detects variations in brain conductivity and dielectric constant by identifying the resonant frequency (RF) in an equivalent circuit containing both magnetic induction and electrical coupling. We evaluated the performance of the system using a self-made physical model of blood vessel pulsation to test pulsatile CBF. Additionally, we recruited 29 healthy volunteers to monitor cerebral oxygen (CO), cerebral blood flow velocity (CBFV) data and RF data before and after caffeine consumption. We analyzed RF and CBFV trends during immediate responses to abnormal intracranial blood supply, induced by changes in vascular stiffness, and compared them with CO data. Furthermore, we explored a method of dynamically assessing the overall level of CBF by leveraging image feature analysis. Experimental testing substantiates that this system provides a detection range and depth enhanced by three to four times compared to conventional electromagnetic detection techniques, thereby comprehensively covering the principal intracranial blood supply areas. And the system effectively captures CBF responses under different intravascular pressure stimulations. In healthy volunteers, as cerebral vascular stiffness increases and CO decreases due to caffeine intake, the RF pulsation amplitude diminishes progressively. Upon extraction and selection of image features, widely used machine learning algorithms exhibit commendable performance in classifying overall CBF levels. These results highlight that our proposed methodology, predicated on ECS and image feature analysis, enables the capture of immediate responses of abnormal intracranial blood supply triggered by alterations in vascular stiffness. Moreover, it provides an accurate diagnosis of the overall CBF level under varying physiological conditions.
ABSTRACT
BACKGROUND Tranexamic acid (TXA) is safe and effective in total knee arthroplasty (TKA) for the prevention of bleeding. However, the role of TXA during unicompartmental knee arthroplasty (UKA) remains unclear. This study aimed to compare operative blood loss in patients undergoing UKA treated with an intra-articular injection of TXA with controls undergoing UKA without TXA. MATERIAL AND METHODS The prospective study included 101 patients who underwent UKA between January 2014 to March 2018. All patients completed a preoperative routine examination and were randomized to the study group (n=54) and the control group (n-47). The study group was given an articular injection of TXA (1.5 g in 50 ml normal saline) after the fascia was closed; the control group was injected with the same volume of normal saline. Blood volumes were measured from the drainage tube of the two groups during 48 hours. Total blood loss, postoperative drainage, hidden blood loss, blood transfusion rates, postoperative hemoglobin values, indicators of coagulation function, and the rates of wound complications were recorded. RESULTS Total blood loss in the study group was 745.6±105.1 ml, total drainage volume was 353.9±79.5 ml, and the hidden blood loss was 391.7±80.5 ml, which were all significantly lower when compared with the control group (P<0.05). None of the patients in the two groups suffered complications of surgery. CONCLUSIONS Intra-articular injection of TXA significantly reduced the total blood loss in patients who underwent UKA and did not increase the rate of complications.
