Adjuvant hysterectomy following primary chemoradiation for stage IB2 and IIA2 cervical cancer: a retrospective comparison of complications for open versus minimally invasive surgery [0.03%]
同步放化疗后ⅡB和ⅡA2期宫颈癌的辅助性子宫切除术：开腹手术与微创手术并发症的回顾性分析
Heather Miller,Koji Matsuo,Lynda D Roman et al.
Heather Miller et al.
Background: Adjuvant hysterectomy following chemoradiation for bulky, early stage cervical cancer has been shown to decrease local relapse rate. The objective of this study is to compare complications and recurrences betw...
Comparative Study
Radiation oncology (London, England). 2021 Jun 29;16(1):123. DOI:10.1186/s13014-021-01843-0 2021
DeepBeam: a machine learning framework for tuning the primary electron beam of the PRIMO Monte Carlo software [0.03%]
DeepBeam：一种用于调整PRIMO蒙特卡罗软件初级电子束的机器学习框架
Zbisław Tabor,Damian Kabat,Michael P R Waligórski
Zbisław Tabor
Background: Any Monte Carlo simulation of dose delivery using medical accelerator-generated megavolt photon beams begins by simulating electrons of the primary electron beam interacting with a target. Because the electron...
Dose escalation in advanced floor of the mouth cancer: a pilot study using a combination of IMRT and stereotactic boost [0.03%]
口底癌晚期的剂量递增：立体定向强化与调强放疗联合使用的试点研究
Tomáš Blažek,Zuzana Zděblová Čermáková,Lukáš Knybel et al.
Tomáš Blažek et al.
Purpose: We evaluated the efficiency and toxicity of stereotactic hypofractionated boost in combination with conventionally fractionated radiotherapy in the treatment of advanced floor of the mouth cancer. ...
Interobserver variability in organ at risk delineation in head and neck cancer [0.03%]
头颈部肿瘤危及器官勾画的观察者间差异性分析
J van der Veen,A Gulyban,S Willems et al.
J van der Veen et al.
Background: In radiotherapy inaccuracy in organ at risk (OAR) delineation can impact treatment plan optimisation and treatment plan evaluation. Brouwer et al. showed significant interobserver variability (IOV) in OAR deli...
Regression models for predicting physical and EQD2 plan parameters of two methods of hybrid planning for stage III NSCLC [0.03%]
用于III期非小细胞肺癌两种混合计划的物理和EQD2计划参数的回归模型预测方法
Hao Wang,Yongkang Zhou,Wutian Gan et al.
Hao Wang et al.
Background/purpose: To establish regression models of physical and equivalent dose in 2 Gy per fraction (EQD2) plan parameters of two kinds of hybrid planning for stage III NSCLC. ...
Detailed analysis of recovery process of cranial nerve palsy after IMRT-based comprehensive treatment in nasopharyngeal carcinoma [0.03%]
调强放疗综合治疗鼻咽癌后颅神经损伤恢复过程的分析研究
Jian Zang,Yan Li,Shanquan Luo et al.
Jian Zang et al.
Background: Cranial nerve (CN) palsy due to cancer involvement has been considered as an unfavorable prognostic factor for patients with nasopharyngeal carcinoma (NPC). We assessed the role of IMRT based treatment on the ...
Clinical utility of Gafchromic film in an MRI-guided linear accelerator [0.03%]
Gafchromic膜在MRI引导直线加速器的临床效用
Ilma Xhaferllari,Joshua P Kim,Ruchira Liyanage et al.
Ilma Xhaferllari et al.
Background: The purpose of this study is to comprehensively evaluate the suitability of Gafchromic EBT3 and EBT-XD film for dosimetric quality assurance in 0.35 T MR-guided radiotherapy. ...
Retrospective analysis of recurrence patterns and clinical outcome of grade II meningiomas following postoperative radiotherapy [0.03%]
术后放疗II级脑膜瘤复发模式和临床结果的回顾性分析
Elgin Hoffmann,Kerstin Clasen,Bettina Frey et al.
Elgin Hoffmann et al.
Background: Atypical meningiomas exhibit a high tendency for tumor recurrence even after multimodal therapy. Information regarding recurrence patterns after additive radiotherapy is scarce but could improve radiotherapy p...
Dosimetry study of three-dimensional print template for 125I implantation therapy [0.03%]
三维打印模板在125I粒子植入治疗中的剂量学研究
Enli Chen,Yuwei Zhang,Hongtao Zhang et al.
Enli Chen et al.
Background: 125I seed implantation has been found to show good therapeutic effects on tumors. Recent studies showed that three-dimensional (3D) print template-assisted 125I seed implantation can optimize radiation dose di...
The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer [0.03%]
基于深度学习的风险器官自动勾画的剂量学影响评估鼻咽癌和直肠癌患者
Hongbo Guo,Jiazhou Wang,Xiang Xia et al.
Hongbo Guo et al.
Purpose: To investigate the dosimetric impact of deep learning-based auto-segmentation of organs at risk (OARs) on nasopharyngeal and rectal cancer. Metho...