Prediction of the location and size of the stomach using patient characteristics for retrospective radiation dose estimation following radiotherapy.

Prediction of the location and size of the stomach using patient characteristics for retrospective radiation dose estimation following radiotherapy.
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DOI:
10.1088/0031-9155/58/24/8739
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发表时间:
2013-12-21
影响因子:
3.5
通讯作者:
Lee C
Lee C
中科院分区:
工程技术2区
文献类型:
--
作者:
Lamart S;Imran R;Simon SL;Doi K;Morton LM;Curtis RE;Lee C;Drozdovitch V;Maass-Moreno R;Chen CC;Whatley M;Miller DL;Pacak K;Lee C

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癌症放射治疗后,对靶器官以外的器官的剂量重建是回顾性健康风险研究的重点。对可能部分在治疗野内或完全在治疗野外的器官的剂量的可靠估计需要对器官的位置和大小的可靠了解,例如,胃,这是在腹部辐射的风险。已知胃的位置和大小在个体之间存在很大差异,但很少有人研究。此外,对于多年前进行的治疗,患者的医学图像通常无法在医疗记录中找到胃。鉴于在历史剂量重建中定位胃的信息不足,本研究的目的是研究成年男性患者胃位置和大小的变异性,并使用过去治疗的放射治疗患者的病历中通常可用的预测变量开发胃位置和大小的预测模型。为了收集关于胃的大小和位置的数据,我们对30名男性患者仰卧位的当代计算机断层扫描(CT)图像上的胃和骨骼的轮廓进行了分割。胃的位置和大小取决于体重指数(BMI),体重指数(PI)和年龄。例如,发现胃的前后尺寸随着BMI的增加而增加(<0.25 cm/kg/m2),而其首尾尺寸随着PI的增加而减少(<0.33 cm/kg/m3),其横向尺寸随着PI的增加而增加(<0.25 cm/kg/m3)。使用的预测模型,我们产生了三维计算胃模型从一个可变形的混合体模为三个不同的BMI患者。基于一个典型的放射治疗,我们模拟放射治疗的预测胃模型和相应的病人的CT图像。这些剂量计算表明,与在没有个人CT扫描数据的情况下可能使用的身体参考模型得出的剂量相比,预测和实际胃之间的一致性良好。
Following cancer radiotherapy, reconstruction of doses to organs, other than the target organ, is of interest for retrospective health risk studies. Reliable estimation of doses to organs that may be partially within or fully outside the treatment field requires reliable knowledge of the location and size of the organs, e.g., the stomach, which is at risk from abdominal irradiation. The stomach location and size are known to be highly variable between individuals, but have been little studied. Moreover, for treatments conducted years ago, medical images of patients are usually not available in medical records to locate the stomach. In light of the poor information available to locate the stomach in historical dose reconstructions, the purpose of this work was to investigate the variability of stomach location and size among adult male patients and to develop prediction models for the stomach location and size using predictor variables generally available in medical records of radiotherapy patients treated in the past. To collect data on stomach size and position, we segmented the contours of the stomach and of the skeleton on contemporary Computed Tomography (CT) images for 30 male patients in supine position. The location and size of the stomach was found to depend on body mass index (BMI), ponderal index (PI), and age. For example, the anteroposterior dimension of the stomach was found to increase with increasing BMI (≈0.25 cm per kg/m2) whereas its craniocaudal dimension decreased with increasing PI (≈ −3.3 cm per kg/m3) and its transverse dimension increased with increasing PI (≈ 2.5 cm per kg/m3). Using the prediction models, we generated three dimensional computational stomach models from a deformable hybrid phantom for three patients of different BMI. Based on a typical radiotherapy treatment, we simulated radiotherapy treatments on the predicted stomach models and on the CT images of the corresponding patients. Those dose calculations demonstrated good agreement between predicted and actual stomachs compared with doses derived from a reference model of the body that might be used in the absence of individual CT scan data.
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