An imaging-based tumour growth and treatment response model: investigating the effect of tumour oxygenation on radiation therapy response.
An imaging-based tumour growth and treatment response model: investigating the effect of tumour oxygenation on radiation therapy response.
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DOI：
10.1088/0031-9155/53/17/001
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发表时间：
2008-09-07
影响因子：
3.5
通讯作者：
Jeraj R
中科院分区：
文献类型：
--
作者：
Titz B;Jeraj R
研究人员建立了一个多尺度肿瘤模拟模型，利用来自治疗前PET/CT成像数据的细胞系特异性生物学参数和功能信息来研究不同氧合水平对放射治疗反应的影响。对于每个肿瘤体素，进行随机模拟来模拟细胞生长和治疗反应。模型参数拟合已发表的头颈部鳞状细胞癌（HNSCC）临床前实验。利用所获得的参数，将该模型应用于人恶性鳞癌病例，研究不同均匀和不均匀氧合水平对治疗效果的影响，并对结果进行比较。临床前研究的模拟显示与已发表的数据非常一致，并强调了该模型在实验不确定性下定量再现肿瘤行为的能力。当使用简化的转换从分子成像数据中得出不均匀的氧合水平时，临床病例的模拟显示，随着氧水平的降低，肿瘤的反应和放射抵抗的变化是不均匀的。一旦临床验证，该模型可用于将患者特异性数据转换为基于体素的生物目标，用于治疗计划，并研究生物优化剂量处方。
A multiscale tumour simulation model employing cell-line-specific biological parameters and functional information derived from pre-therapy PET/CT imaging data was developed to investigate effects of different oxygenation levels on the response to radiation therapy. For each tumour voxel, stochastic simulations were performed to model cellular growth and therapeutic response. Model parameters were fitted to published preclinical experiments of head and neck squamous cell carcinoma (HNSCC). Using the obtained parameters, the model was applied to a human HNSCC case to investigate effects of different uniform and non-uniform oxygenation levels and results were compared for treatment efficacy. Simulations of the preclinical studies showed excellent agreement with published data and underlined the model’s ability to quantitatively reproduce tumour behaviour within experimental uncertainties. When using a simplified transformation to derive non-uniform oxygenation levels from molecular imaging data, simulations of the clinical case showed heterogeneous tumour response and variability in radioresistance with decreasing oxygen levels. Once clinically validated, this model could be used to transform patient-specific data into voxel-based biological objectives for treatment planning and to investigate biologically optimized dose prescriptions.
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影响因子：
3.4
作者：
Jiang, Y;Pjesivac-Grbovic, J;Freyer, JP
通讯作者：
Freyer, JP
DOI：
10.1016/s0360-3016(00)01533-9
发表时间：
2001-03-15
影响因子：
7
作者：
Buffa, FM;West, C;Nahum, AE
通讯作者：
Nahum, AE
影响因子：
8.8
作者：
Easty DM;Easty GC;Carter RL;Monaghan P;Butler LJ
通讯作者：
Butler LJ
DOI：
10.1016/0360-3016(91)90703-7
发表时间：
1991-08-01
影响因子：
7
作者：
BRENNER, DJ;MARTEL, MK;HALL, EJ
通讯作者：
HALL, EJ
DOI：
10.1016/0360-3016(86)90080-5
发表时间：
1986-04-01
影响因子：
7
作者：
KALLMAN, RF;DORIE, MJ
通讯作者：
DORIE, MJ