Wang Hesheng, Feng Mary, Jackson Andrew, Ten Haken Randall K, Lawrence Theodore S, Cao Yue
Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Int J Radiat Oncol Biol Phys. 2016 Jan 1;94(1):181-188. doi: 10.1016/j.ijrobp.2015.09.044. Epub 2015 Oct 9.
To develop a local and global function model in the liver based on regional and organ function measurements to support individualized adaptive radiation therapy (RT).
A local and global model for liver function was developed to include both functional volume and the effect of functional variation of subunits. Adopting the assumption of parallel architecture in the liver, the global function was composed of a sum of local function probabilities of subunits, varying between 0 and 1. The model was fit to 59 datasets of liver regional and organ function measures from 23 patients obtained before, during, and 1 month after RT. The local function probabilities of subunits were modeled by a sigmoid function in relating to MRI-derived portal venous perfusion values. The global function was fitted to a logarithm of an indocyanine green retention rate at 15 minutes (an overall liver function measure). Cross-validation was performed by leave-m-out tests. The model was further evaluated by fitting to the data divided according to whether the patients had hepatocellular carcinoma (HCC) or not.
The liver function model showed that (1) a perfusion value of 68.6 mL/(100 g · min) yielded a local function probability of 0.5; (2) the probability reached 0.9 at a perfusion value of 98 mL/(100 g · min); and (3) at a probability of 0.03 [corresponding perfusion of 38 mL/(100 g · min)] or lower, the contribution to global function was lost. Cross-validations showed that the model parameters were stable. The model fitted to the data from the patients with HCC indicated that the same amount of portal venous perfusion was translated into less local function probability than in the patients with non-HCC tumors.
The developed liver function model could provide a means to better assess individual and regional dose-responses of hepatic functions, and provide guidance for individualized treatment planning of RT.
基于区域和器官功能测量,建立肝脏局部和整体功能模型,以支持个体化自适应放射治疗(RT)。
建立了肝脏功能的局部和整体模型,包括功能体积和亚单位功能变化的影响。采用肝脏平行结构的假设,整体功能由亚单位局部功能概率之和组成,范围在0到1之间。该模型与23例患者放疗前、放疗期间及放疗后1个月获得的59组肝脏区域和器官功能测量数据集进行拟合。亚单位的局部功能概率通过与磁共振成像衍生的门静脉灌注值相关的S形函数进行建模。整体功能与15分钟时吲哚菁绿潴留率的对数(一项整体肝功能测量指标)进行拟合。通过留一法交叉验证。根据患者是否患有肝细胞癌(HCC)对数据进行划分,进一步评估该模型。
肝功能模型显示:(1)灌注值为68.6 mL/(100 g·min)时,局部功能概率为0.5;(2)灌注值为98 mL/(100 g·min)时,概率达到0.9;(3)概率为0.03[相应灌注为38 mL/(100 g·min)]或更低时,对整体功能的贡献丧失。交叉验证表明模型参数稳定。对HCC患者数据拟合的模型表明,与非HCC肿瘤患者相比,相同量的门静脉灌注转化为更低的局部功能概率。
所建立的肝功能模型可为更好地评估肝脏功能的个体和区域剂量反应提供一种方法,并为RT的个体化治疗计划提供指导。