Department of Radiation Oncology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan; Department of Radiation Oncology, Hiroshima Prefectural Hospital, Hiroshima, Japan.
Department of Radiation Oncology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan.
Int J Radiat Oncol Biol Phys. 2014 Aug 1;89(5):1129-1137. doi: 10.1016/j.ijrobp.2014.04.050. Epub 2014 Jul 8.
To consider nonuniform tumor motion within the internal target volume (ITV) by defining time-adjusted ITV (TTV), a volume designed to include heterogeneity of tumor existence on the basis of 4-dimensional computed tomography (4D-CT).
We evaluated 30 lung cancer patients. Breath-hold CT (BH-CT) and free-breathing 4D-CT scans were acquired for each patient. The tumors were manually delineated using a lung CT window setting (window, 1600 HU; level, -300 HU). Tumor in BH-CT images was defined as gross tumor volume (GTV), and the sum of tumors in 4D-CT images was defined as ITV-4D. The TTV images were generated from the 4D-CT datasets, and the tumor existence probability within ITV-4D was calculated. We calculated the TTV80 value, which is the percentage of the volume with a tumor existence probability that exceeded 80% on ITV-4D. Several factors that affected the TTV80 value, such as the ITV-4D/GTV ratio or tumor centroid deviation, were evaluated.
Time-adjusted ITV images were acquired for all patients, and tumor respiratory motion heterogeneity was visualized. The median (range) ITV-4D/GTV ratio and median tumor centroid deviation were 1.6 (1.0-4.1) and 6.3 mm (0.1-30.3 mm), respectively. The median TTV80 value was 43.3% (2.9-98.7%). Strong correlations were observed between the TTV80 value and the ITV-4D/GTV ratio (R=-0.71) and tumor centroid deviation (R=-0.72). The TTV images revealed the tumor motion pattern features within ITV.
The TTV images reflected nonuniform tumor motion, and they revealed the tumor motion pattern features, suggesting that the TTV concept may facilitate various aspects of radiation therapy planning of lung cancer while incorporating respiratory motion in the future.
通过定义时间调整的内靶区(TTV),考虑到内靶区(ITV)内不均匀的肿瘤运动,该体积旨在根据 4 维 CT(4D-CT)基础上存在肿瘤的异质性。
我们评估了 30 例肺癌患者。每位患者均进行屏气 CT(BH-CT)和自由呼吸 4D-CT 扫描。使用肺 CT 窗设置(窗宽 1600 HU;水平 -300 HU)手动描绘肿瘤。BH-CT 图像中的肿瘤定义为大体肿瘤体积(GTV),4D-CT 图像中的肿瘤总和定义为 ITV-4D。从 4D-CT 数据集生成 TTV 图像,并计算 ITV-4D 内肿瘤存在的概率。我们计算了 TTV80 值,即 ITV-4D 中肿瘤存在概率超过 80%的体积百分比。评估了影响 TTV80 值的几个因素,例如 ITV-4D/GTV 比或肿瘤质心偏差。
为所有患者获取了时间调整的 ITV 图像,并可视化了肿瘤呼吸运动的异质性。ITV-4D/GTV 比的中位数(范围)和中位数肿瘤质心偏差分别为 1.6(1.0-4.1)和 6.3 毫米(0.1-30.3 毫米)。TTV80 值的中位数为 43.3%(2.9-98.7%)。TTV80 值与 ITV-4D/GTV 比(R=-0.71)和肿瘤质心偏差(R=-0.72)之间存在强相关性。TTV 图像显示了 ITV 内肿瘤运动模式的特征。
TTV 图像反映了不均匀的肿瘤运动,并揭示了肿瘤运动模式的特征,这表明 TTV 概念可能有助于未来将呼吸运动纳入肺癌放射治疗计划的各个方面。