2种化疗方案治疗晚期上皮性卵巢癌的临床研究

目的探讨不同化学药物治疗(以下简称化疗)方案治疗晚期上皮性卵巢癌的疗效。方法选取2017年7月-2019年6月在海南省第三人民医院就诊的晚期上皮性卵巢癌患者93例,所有患者都是初治且行肿瘤细胞减灭术。术后常规化疗,一组为紫杉醇+卡铂(TC组),另一组为紫杉醇+顺铂(TP组)。比较不同化疗方案对患者的临床疗效及其主要毒副反应。结果TC组有效率为68.9%(31/45),TP组为70.8%(34/48),差异无统计学意义(P>0.05)。TC组骨髓抑制率(48.9%)高于TP组(35.4%)(P<0.05);两组>60岁患者的骨髓抑制率比较,差异无统计学意义(P>0.05)。TP组消化道反应发生率(37.5%)高于TC组(24.4%)(P<0.05)。结论TC和TP方案对晚期上皮性卵巢癌均疗效确切,TP组骨髓抑制发生率低于TC组,TP组虽然总体消化道反应发生率高于TC组,但主要是Ⅰ级和Ⅱ级消化道反应,患者尚可耐受。

A non-invasive diagnostic method of cavity detuning based on a convolutional neural network

As modern accelerator technologies advance toward more compact sizes,conventional invasive diagnostic methods of cavity detuning introduce negligible interference in measurements and run the risk of harming structural surfaces.To overcome these difficulties,this study developed a non-invasive diagnostic method using knowledge of scattering parameters with a convolutional neural network and the interior point method.Meticulous construction and training of the neural network led to remarkable results on three typical acceleration structures:a 13-cell S-band standing-wave linac,a 12-cell X-band traveling-wave linac,and a 3-cell X-band RF gun.The trained networks significantly reduced the burden of the tuning process,freed researchers from tedious tuning tasks,and provided a new perspective for the tuning of side-coupling,semi-enclosed,and total-enclosed structures.