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Shingo Hashimoto Masaki Katsurada Rie Muramatsu Kumiko Asai Kenichiro Tanaka Kensuke Hayashi Yoshiaki Kibe Koichiro Nakajima Yukiko Hattori Hiromitsu Iwata Jun-etsu Mizoe Hiroyuki Ogino Yuta Shibamoto 《Practical radiation oncology》2019,9(2):e149-e155
Purpose
Suppression of respiratory movement of the liver would be desirable for high-precision radiation therapy for liver tumors. We aimed to investigate the effect of our original device-free compressed shell fixation method and breathing instruction on suppression of respiratory movement. The characteristics of liver motion based on the movement of a fiducial marker were also analyzed.Methods and Materials
First, respiratory amplitudes of the liver with the device-free compressed shell were analyzed from the data of 146 patients. The effect of this shell fixing method on liver movement was evaluated. Second, as another cohort study with 166 patients, interfractional internal motion of the liver for patients fixed in the shell was calculated using the fiducial marker coordinate data of images for position setting before daily irradiation. Third, in another 12 patients, intrafractional internal motion was calculated from the fiducial marker coordinate data using x-ray images before and after irradiation.Results
The median respiratory movement without the shell, after fixing with the shell, and after instructing on the breathing method with the shell was 14.2 (interquartile range, 10.7-19.8), 11.5 (8.6-17.5), and 10.4 mm (7.3-15.8), respectively. Systematic and random errors of interfractional internal motion were all ≤2 mm in the left-right and anteroposterior directions and 3.7 and 3.0 mm, respectively, in the craniocaudal direction. Systematic and random errors of intrafractional internal motion were all ≤1.3 mm in the left-right and anteroposterior directions and 0.8 and 2.4 mm, respectively, in the craniocaudal direction.Conclusions
The device-free compressed shell fixation method was effective in suppressing the respiratory movement of the liver. Irradiation position matching using the fiducial marker can correct the interfractional internal motion on each day, which would contribute to the reduction of the margin to be given around the target. 相似文献4.
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《Gaceta sanitaria / S.E.S.P.A.S》2016,30(6):421-425
ObjectiveThe loss of chance in healthcare has been forcibly introduced in the adjudications pronounced in recent years. Our objective was to analyse the verdicts of guilt resulting from the loss of chance ordered by the Contentious-Administrative Court (i.e., in the public healthcare system), in which both the origin of the disease to be treated and the sequelae were oncological processes.MethodWe analysed 137 cancer-related court judgments from the Contentious-Administrative Court, which referred to the concept of loss of chance, issued in Spain up to May 2014.ResultsOf the 137 sentences, 119 (86.9%), were pronounced due to diagnostic error and 14 (10.2%) due to inadequate treatment. Since 2010, 100 sentences have been passed (73.0%), representing an increase of more than 170% with respect to the 37 (27.0%) ordered in the first six years of the study (from 2004 to 2009). Most of the patients (68.6%) died, predominantly from breast cancer and gynaecological cancer (24.1%), and gastrointestinal cancers (21.1%). These malignancies were the ones most often involved in the sentences.ConclusionsThe litigant activity due to loss of chance in oncological processes in the public health care has significantly increased in the last years. The judgments were mainly given because of diagnostic error or inadequate treatment. 相似文献
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目的评估消化道恶性肿瘤患者的能量消耗,探讨最佳计算公式及能量消耗的影响因素。方法采用连续入组法,纳入2016年3月至2016年12月在陆军军医大学第一附属医院肿瘤科住院治疗患者,运用代谢车测定其静息代谢能量(REE),使用Harris-Benedict公式和30kcal/(kg·d) 公式预测患者的一日总能量消耗(TEE)。收集研究对象的相关指标如年龄、身高、体重、病程、原位癌部位、是否荷瘤等。结果共纳入26例患者,其中包括食管癌11例,胃癌8例,结直肠癌7例,73%的患者处于高代谢状态,约69%的患者处于肿瘤Ⅳ期;其中不同病程和原位癌位置与静息能量消耗有差异,差异具有统计学意义;用30kcal/(kg·d)×体重估算TEE可能并不适用于消瘦的消化道肿瘤患者。结论消化道恶性肿瘤患者大多存在营养不良且处于高代谢状态,在给消化道恶性肿瘤患者提供能量时应适当考虑病程长短、肿瘤分期以及肿瘤部位等因素。尽量使用代谢车估算恶性肿瘤患者的TEE,若没有代谢车条件时,对于能下床活动的消化道恶性肿瘤患者,体质指数(BMI)≥18.5kg/m2者推荐使用30kcal/(kg·d)×实际体重的方法估算TEE,BMI<18.5kg/m2者推荐使用30kcal/(kg·d)×标准体重的方法估算TEE。 相似文献
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