Ma Lei, Zhang Hao
Lei Ma, Master of Medicine. Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital of Xi'an Jiaotong University Xi'an, 710061, China.
Hao Zhang, PhD. Department of Surgical oncology, The First Affiliated Hospital of Xi'an Jiaotong University Xi'an, 710061, China.
Pak J Med Sci. 2021;37(6):1662-1666. doi: 10.12669/pjms.37.6-WIT.4866.
In this paper, machine learning algorithms was used to explore the application value of ultrasound contrast in the early evaluation of neoadjuvant chemotherapy in patients with gastrointestinal malignant liver metastases, and analyzes the effect of sports nursing methods on intestinal function recovery.
Forty-seven patients with gastrointestinal malignancies were divided into 25 patients (combined chemotherapy group) and 22 cases (chemotherapy group) from April 2018 to April 2019. Two groups of patients were treated with CEUS. The effective lesion patients and invalid quantitative parameters were compared between the two groups before and after treatment, and the postoperative routine nursing was implemented.
Chemotherapy group effective in 18 cases, accounting for 81.82%; 4 cases, 18.18%. Combination chemotherapy patients 21 cases, accounting for 84.00%; 4 cases, accounting for 16.00%.
Based on early is important to assess the efficacy of neoadjuvant chemotherapy in patients with liver metastases peak intensity ultrasound contrast parameters of the machine learning algorithms malignant tumors in the gastrointestinal tract, post-operative care movement helps to restore bowel function.
本文运用机器学习算法探讨超声造影在胃肠道恶性肿瘤肝转移患者新辅助化疗早期评估中的应用价值，并分析运动护理方法对肠道功能恢复的影响。
选取2018年4月至2019年4月期间47例胃肠道恶性肿瘤患者，分为25例（联合化疗组）和22例（化疗组）。两组患者均接受超声造影检查。比较两组治疗前后有效病灶患者及无效定量参数情况，并实施术后常规护理。
化疗组有效18例，占81.82%；无效4例，占18.18%。联合化疗组有效21例，占84.00%；无效4例，占16.00%。
基于早期评估胃肠道恶性肿瘤肝转移患者新辅助化疗疗效，机器学习算法的超声造影峰值强度参数具有重要意义，术后运动护理有助于肠道功能恢复。
