谷歌浏览器插件
订阅小程序
在清言上使用

Extended Peptide Receptor Radionuclide Therapy: Evaluating Nephrotoxicity and Therapeutic Effectiveness in Neuroendocrine Tumor Patients Receiving More Than Four Treatment Cycles.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING(2024)

引用 0|浏览18
暂无评分
摘要
Currently, the most used peptide receptor radionuclide therapy (PRRT) regimen for neuroendocrine tumors comprises 4 treatment cycles, and there is not enough large-scale data to support the safety of more individualized extended PRRT. This study aims to evaluate the therapeutic effectiveness and potential nephrotoxicity related to PRRT using more than four treatment cycles. In this retrospective analysis, we included patients who had received at least four PRRT cycles and had available follow-up data. We analyzed renal function indicators before and after multiple treatments, comparing nephrotoxicity in patients receiving four cycles (“standard”) with those receiving more than four (“extended treatment”). Nephrotoxicity was assessed via creatinine levels and CTCAE creatinine grades. Treatment effectiveness was gauged using Kaplan–Meier survival analysis, focusing on overall survival and disease-specific survival (DSS). Statistical analyses were performed using SPSS version 26 (IBM), R 4.2.3, and GraphPad Prism 9.0.0. Statistical significance was defined as a P-value of less than 0.05. Our study cohort consisted of 281 patients in the standard group and 356 in the extended treatment group. No significant differences in baseline characteristics or renal function were noted between the two groups pre-treatment. Mean post-treatment creatinine levels did not significantly differ between the standard (89.30 ± 51.19 μmol/L) and extended treatment groups (93.20 ± 55.98 μmol/L; P = 0.364). Similarly, there was no statistical significance between the CTCAE creatinine grades of the two groups (P = 0.448). Adverse renal events were observed in 0.4
更多
查看译文
关键词
Neuroendocrine tumors (NETs),Nephrotoxicity,Peptide receptor radionuclide therapy (PRRT),Prognosis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要