This paper aimed to explore the risk factors of peripherally inserted central catheter (PICC) related thrombosis (PICC-RT) in tumor patients mediated by ultrasound images under minimum variance (MV) algorithm and put forward the corresponding nursing intervention methods based on the risk factors. The smoothing algorithm, diagonal loading algorithm, and coherence factor algorithm were optimized via MV algorithm. The optimized algorithm was compared with other algorithms to analyze its image quality and image processing speed. Literature retrieval was conducted to analyze the risk factors of PICC-RT in tumor patients. Tumor patients who received PICC for chemotherapy in the hospital from June 2018 to December 2019 were selected. Patients who were accepted before the experiment were taken as the controls, and there were control group (89 cases) and observation group (91 cases). Exercise, average flow rate of axillary vein per unit time, and PICC-RT were compared between the two groups. The results showed that the optimized algorithm (MV-N) had better image resolution, image contrast, and calculation speed than other algorithms. Gender, body mass index (BMI), pathological type, clinical stage, disease history, fibrinogen (FIB), and use of anticoagulant drugs were risk factors for PICC-RT in tumor patients. The number of PICC-RT and complications in the observation group was notably lower in contrast to the control group (). It indicated that a novel algorithm was successfully established, which could increase the ultrasonic image quality and computing speed, and upper limb exercise could reduce the incidence of PICC-RT and its complications in tumor patients.

中文翻译：

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基于算法的超声图像介导的外周中心导管相关血栓形成的肿瘤患者危险因素及护理干预分析

【摘要】：目的探讨最小方差(MV)算法下超声图像介导的肿瘤患者外周插入中心导管(PICC)相关血栓形成(PICC-RT)的危险因素,并根据危险因素提出相应的护理干预方法。 . 通过MV算法对平滑算法、对角加载算法和相干因子算法进行了优化。将优化后的算法与其他算法进行对比，分析其图像质量和图像处理速度。通过文献检索分析肿瘤患者PICC-RT的危险因素。选择2018年6月至2019年12月在医院接受PICC化疗的肿瘤患者。以实验前接受的患者为对照，其中对照组（89例）和观察组（91例）。比较两组运动情况、单位时间腋静脉平均流速、PICC-RT。结果表明，优化后的算法（MV-N）比其他算法具有更好的图像分辨率、图像对比度和计算速度。性别、体重指数（BMI）、病理类型、临床分期、病史、纤维蛋白原（FIB）和抗凝药物的使用是肿瘤患者PICC-RT的危险因素。与对照组相比，观察组的 PICC-RT 数量和并发症显着减少。图像对比度，计算速度比其他算法快。性别、体重指数（BMI）、病理类型、临床分期、病史、纤维蛋白原（FIB）和抗凝药物的使用是肿瘤患者PICC-RT的危险因素。与对照组相比，观察组的 PICC-RT 数量和并发症显着减少。图像对比度，计算速度比其他算法快。性别、体重指数（BMI）、病理类型、临床分期、病史、纤维蛋白原（FIB）和抗凝药物的使用是肿瘤患者PICC-RT的危险因素。与对照组相比，观察组的 PICC-RT 数量和并发症显着减少。）。表明成功建立了一种新的算法，可以提高超声图像质量和计算速度，上肢运动可以降低肿瘤患者PICC-RT及其并发症的发生率。