Tian Zhenhua, Zhang Wei
Department of Interventional Radiology, First People's Hospital of Shangqiu City, Shangqiu 476100, China.
Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
J Oncol. 2022 Apr 29;2022:2306451. doi: 10.1155/2022/2306451. eCollection 2022.
Due to the greater prevalence of chronic hepatitis B infection, liver tumor is especially popular in China. In China, it is the 4th most prevalent tumor and the 3rd main reason for cancer fatalities. Hepatocellular carcinomas (HCCs) account for more than 91% of every liver tumor case, and chemotherapy and immunotherapy are the better therapy choices. It is a serious threat to the lives and health of Chinese citizens. Patients diagnosed with liver tumors have a bad prognosis. Surgical resection, liver transplantation, chemotherapeutic embolization, and radiofrequency ablation (RFA) are all choices for patients who are detected early. More effective therapies can result in a better prognosis. This paper analyzes the clinical efficiency of interventional transarterial chemoembolization (TACE) integrated with monopolar radiofrequency ablation (RFA) on patients with a liver tumor. Initially, the dataset is collected and the patients are treated with combined TACE and RFA. The computed tomography (CT) images are obtained using three-phase CT imaging. The images are segmented using adaptive U-Net-based segmentation. The clinical efficiency of the patients is evaluated using Robust Residual Convolutional Neural Network (RR-CNN) which is optimized using Firefly Particle Swarm Optimization (FPSO) algorithm. The performance of the system is analyzed using the MATLAB simulation tool. In performance analysis, the proposed method of RR-CNN is high when compared to the existing method of CNN, logistic regression using genetic algorithm and KNN in overall parameters are accuracy, sensitivity, 1-score, and specificity. These integrated treatments have a suggested greater response frequency, indicating a synergistic impact by combination treatment in the initial stages.
由于慢性乙型肝炎感染的患病率较高，肝脏肿瘤在中国尤为常见。在中国，它是第四大常见肿瘤，也是癌症死亡的第三大主要原因。肝细胞癌（HCC）占所有肝脏肿瘤病例的91%以上，化疗和免疫疗法是较好的治疗选择。它对中国公民的生命和健康构成严重威胁。被诊断患有肝脏肿瘤的患者预后较差。手术切除、肝移植、化疗栓塞和射频消融（RFA）都是早期检测出的患者的治疗选择。更有效的治疗可带来更好的预后。本文分析了经动脉化疗栓塞术（TACE）联合单极射频消融术（RFA）对肝脏肿瘤患者的临床疗效。首先，收集数据集并对患者进行TACE和RFA联合治疗。使用三相CT成像获取计算机断层扫描（CT）图像。使用基于自适应U-Net的分割方法对图像进行分割。使用基于萤火虫粒子群优化（FPSO）算法优化的鲁棒残差卷积神经网络（RR-CNN）评估患者的临床疗效。使用MATLAB仿真工具分析系统性能。在性能分析中，与现有方法CNN、使用遗传算法的逻辑回归和KNN相比，所提出的RR-CNN方法在总体参数准确性、敏感性、F1分数和特异性方面表现较高。这些综合治疗显示出更高的反应频率，表明联合治疗在初始阶段具有协同作用。
