本文選題：呼吸運動幅度 + Smartsequence�。� 參考：《中華腫瘤防治雜志》2017年09期

【摘要】：目的呼吸運動影響患者實際照射劑量,不同多頁光柵(multi-leaf collimator,MLC)的運動方式對呼吸運動造成劑量偏差的敏感性不同。本研究旨在定量分析兩種子野分割算法受呼吸幅度影響的劑量偏差大小。方法收集2013-06-10-2015-04-15中國科學院合肥腫瘤醫(yī)院收治的肺癌患者10例,兩種類型放療計劃各制定10例。呼吸運動儀帶動QA模體正弦運動模擬患者頭腳方向不同呼吸幅度的呼吸運動,分別采集等中心層面劑量。通過Verisoft分析采集數據的射野通過率和劑量分布。結果 10例肺癌患者Slidingwnd和Smartsequence子野分割方式產生的子野數分別為40±5.2和20±7.7,P=0.007;機器跳數分別為(388±56.6)和(346±60.4)MU,P=0.007。隨著呼吸幅度的增加,射野通過率變小。Smartsequence和Slidingwnd在8 mm幅度時射野通過率分別為(85.27±4.57)%和(87.26±5.25)%,t=3.435,P=0.007;在10mm幅度時射野通過率分別為(74.95±5.98)%和(79.13±5.11)%,t=6.05,P0.001。Smartsequence比Slidingwnd射野通過率低,且通過率90%;呼吸幅度=6mm時,兩種計劃通過率為(91.81±3.65)%和(92.67±4.55)%,差異無統(tǒng)計學意義,P0.05。呼吸幅度6mm時,兩種計劃通過率差異無統(tǒng)計學意義,P0.05;通過率90%,滿足臨床劑量驗證要求。結論 Smartsequence子野分割算法對呼吸運動造成的劑量偏差敏感性大,建議選擇Slidingwnd子野分割方式。
[Abstract]:Objective Respiratory motion affects the actual dose of irradiation in patients. The sensitivity of different multi-leaf collimator (MLCC) motion patterns to dose deviation caused by respiratory movement is different. The purpose of this study was to quantitatively analyze the dose deviation of the two-seed field segmentation algorithm affected by respiratory amplitude. Methods Ten patients with lung cancer admitted to Hefei Oncology Hospital, Chinese Academy of Sciences, 2013-06-10-2015-04-15, 10 patients with two types of radiotherapy were selected. The respiratory motif drives the QA motif sinusoidal motion to simulate the respiratory movement of the patient with different respiration amplitude in the head and foot direction and collects the dose of isocentric level respectively. The radiation pass rate and dose distribution of the collected data were analyzed by Verisoft. Results the number of subfields produced by Slidingwnd and Smart sequence subfields in 10 patients with lung cancer were 40 鹵5.2 and 20 鹵7.7, respectively, and the number of machine hops were 388 鹵56.6) and 346 鹵60.4 respectively. With the increase of respiratory amplitude, the passing rates of Smartsequence and Slidingwnd were 85.27 鹵4.57% and 87.26 鹵5.25 5% respectively at the amplitude of 8 mm, and the passing rates of passing through the field were 74.95 鹵5.98% and 79.13 鹵5.11% at the amplitude of 10mm, respectively, and the passing rate was 90000 when the respiratory amplitude was 6mm, respectively, and the passage rate of Sliwnd was lower than that of Sliwnd at the amplitude of 8 mm, and the rate of passing through the field was lower than that of Sliwnd when the amplitude of respiration was 6mm, the rate of passing through was 74.95 鹵5.98% and 79.13 鹵5.11% respectively, and the passing rate of Sliwnd was lower than that of Sliwnd at the amplitude of 8mm. The pass rates of the two plans were 91.81 鹵3.65% and 92.67 鹵4.55%, respectively. The difference was not statistically significant (P 0.05). There was no significant difference in the pass rate between the two plans when the respiratory amplitude was 6mm (P 0.05), and the pass rate was 90%, which met the requirement of clinical dose verification. Conclusion Smartsequence field segmentation algorithm is sensitive to dose deviation caused by respiratory movement, so Slidingwnd subfield segmentation method is recommended.
【作者單位】： 中國科學院合肥物質科學研究院醫(yī)學物理與技術中心·中國科學院合肥腫瘤醫(yī)院放療中心;中國解放軍第一零五醫(yī)院腫瘤診療中心;
【基金】：中國科學院合肥物質科學研究院院長基金(YZJJ201325)
【分類號】：R730.55;R734.2

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