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使用静态呼气成像改进腹部靶区基于CT的治疗计划模型。

Improvement of CT-based treatment-planning models of abdominal targets using static exhale imaging.

作者信息

Balter J M, Lam K L, McGinn C J, Lawrence T S, Ten Haken R K

机构信息

Department of Radiation Oncology, The University of Michigan, Ann Arbor 48109-0010, USA.

出版信息

Int J Radiat Oncol Biol Phys. 1998 Jul 1;41(4):939-43. doi: 10.1016/s0360-3016(98)00130-8.

Abstract

PURPOSE

CT-based models of the patient that do not account for the motion of ventilation may not accurately predict the shape and position of critical abdominal structures. Respiratory gating technology for imaging and treatment is not yet widely available. The purpose of the current study is to explore an intermediate step to improve the veracity of the patient model and reduce the treated volume by acquiring the CT data with the patients holding their breath at normal exhale.

METHODS AND MATERIALS

The ventilatory time courses of diaphragm movement for 15 patients (with no special breathing instructions) were measured using digitized movies from the fluoroscope during simulation. A subsequent clinical protocol was developed for treatment based on exhale CT models. CT scans (typically 3.5-mm slice thickness) were acquired at normal exhale using a spiral scanner. The scan volume was divided into two to three segments, to allow the patient to breathe in between. Margins were placed about intrahepatic target volumes based on the ventilatory excursion inferior to the target, and on only the reproducibility of exhale position superior to the target.

RESULTS

The average patient's diaphragm remained within 25% of the range of ventilatory excursion from the average exhale position for 42% of the typical breathing cycle, and within 25% of the range from the average inhale position for 15% of the cycle. The reproducibility of exhale position over multiple breathing cycles was 0.9 mm (2sigma), as opposed to 2.6 mm for inhale. Combining the variation of exhale position and the uncertainty in diaphragm position from CT slices led to typical margins of 10 mm superior to the target, and 19 mm inferior to the target, compared to margins of 19 mm in both directions under our prior protocol of margins based on free-breathing CT studies. For a typical intrahepatic target, these smaller volumes resulted in a 3.6% reduction in Veff for the liver. Analysis of portal films shows proper target coverage for patients treated based on exhale modeled plans.

CONCLUSIONS

Modeling abdominal treatments at exhale, while not realizing all the gains of gated treatments, provides an immediate reduction in the volume of normal tissue treated, and improved reliability of patient data for NTCP modeling, when compared to current "free breathing" CT models of patients.

摘要

目的

基于CT的患者模型若未考虑通气运动,可能无法准确预测关键腹部结构的形状和位置。用于成像和治疗的呼吸门控技术尚未广泛应用。本研究的目的是探索一个中间步骤,通过让患者在正常呼气时屏气获取CT数据,以提高患者模型的准确性并减少治疗体积。

方法和材料

在模拟过程中,使用荧光透视仪的数字化影片测量了15名患者(无特殊呼吸指导)膈肌运动的通气时间进程。随后基于呼气CT模型制定了治疗的临床方案。使用螺旋扫描仪在正常呼气时进行CT扫描(通常层厚3.5毫米)。扫描体积被分为两到三段,以便患者在扫描期间呼吸。根据目标下方的通气偏移以及仅目标上方呼气位置的可重复性,在肝内靶体积周围设置边界。

结果

在典型呼吸周期的42%时间内,平均患者的膈肌保持在距平均呼气位置通气偏移范围的25%以内,在呼吸周期的15%时间内保持在距平均吸气位置范围的25%以内。多个呼吸周期中呼气位置的可重复性为0.9毫米(2σ),而吸气时为2.6毫米。将呼气位置的变化与CT切片中膈肌位置的不确定性相结合,导致目标上方的典型边界为10毫米,目标下方为19毫米,而在我们之前基于自由呼吸CT研究的边界方案中,两个方向的边界均为19毫米。对于典型的肝内靶区,这些较小的体积使肝脏的有效体积(Veff)减少了3.6%。门静脉造影分析显示,基于呼气建模计划治疗的患者靶区覆盖良好。

结论

与当前患者的“自由呼吸”CT模型相比,在呼气时对腹部治疗进行建模,虽然未实现门控治疗的所有益处,但能立即减少正常组织的治疗体积,并提高用于正常组织并发症概率(NTCP)建模的患者数据的可靠性。

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