[1]鞠永健.放射治疗中肿瘤控制概率的计算方法[J].国际放射医学核医学杂志,2000,24(3):138-141.
 JU Yong-jian.The calculating methods of tumor control probability in radiotherapy[J].International Journal of Radiation Medicine and Nuclear Medicine,2000,24(3):138-141.
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放射治疗中肿瘤控制概率的计算方法(/HTML)
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《国际放射医学核医学杂志》[ISSN:1673-4114/CN:12-1381/R]

卷:
24
期数:
2000年第3期
页码:
138-141
栏目:
综述
出版日期:
1900-01-01

文章信息/Info

Title:
The calculating methods of tumor control probability in radiotherapy
作者:
鞠永健
300192 天津, 中国医学科学院中国协和医科大学放射医学研究所物理剂量室
Author(s):
JU Yong-jian
Institute of Radiation Medicine Chinese Academy of medical Sciences and Peking Union Medical College, Tianjin 300192, China
关键词:
肿瘤控制概率克隆源性细胞细胞存活率辐射敏感性
Keywords:
tumor control probabilityclonogenic cellcell survival probabilityradiosensitivity
分类号:
R144. 1
摘要:
肿瘤控制概率(TCP)是评估放射治疗效果的重要参数,多年来,很多学者在考虑不同影响因素的情况下提出了各种计算公式,并对用这些公式计算的TCP值与临床实际统计值之间的差距进行了分析。
Abstract:
Tumor control probability (TCP) is an important parameter in estimating the effect of the radiotherapy.After considering various influencing factors, many radiotherapist have brought forward different TCP models and also analyzed the difference between the TCP values which calculated from these models and the actual values which obtained from clinic.

参考文献/References:

[1] Johnson CR, Thames HD, Huang DT, et al. The tumor volume and clonogen number relationship:Tumorcontrol predictions based upon tumor volume estimates derived from computed tomography[J]. Int J Radiat Oncol Biol Phys, 1995, 33(2):281~287.
[2] Wu PM, Chua DT T, Sham JST, et al. Tumor control probability of nasopharyngeal carcinoma:A comparison of different mathematical models[J]. Int J Radiat Oncol Biol Phys, 1997, 37(4):913~920.
[3] Bentzen SM, Thames HD. Tumor volume and local control probability:clinical data and radiobiological interpretations[J]. Int J Radiat Oncol Biol Phys,1996, 36(1):247~251.
[4] Khalil AA, Bentzen SM, Overgaard J. Steepness of the dose-response curve as a function of volume in an experimental tumor irradiated under ambient or hypoxic conditions[J]. Int J Radiat Oncol Biol Phys,1997, 39(4):797~802.
[5] Fenwick JD. Predicting the radiation control probability of heterogeneous tumor ensembles:data analysis and parameter estimation using a closed-form expression[J]. Phys Med Biol, 1998, 43:2159~2178.
[6] Nahum AE. Microdosimetry and radiocurability:modelling targeted therapy with β-emitters[J]. Phys Med Biol, 1996, 41:1957~1972.
[7] Deasy J. Poisson formulas for tumor control probability with clonogen proliferation[J]. Radiat Rese, 1996, 145:382~384.
[8] Tucker SL, Taylor JMG. Improved models of tumor cure[J]. Int J Radiat Biol, 1996, 70(5):539~553.
[9] Kendal WS, Technical report a closed form description of tumor control with fractionated radiotherapy and repopulation[J]. Int J Radiat Biol, 1998, 73(2):207~210.
[10] Ye SJ. Monte carlo based protocol for cell survival and tumor control probability in BCNT[J]. Phys Med Biol, 1999, 44:447~461.

相似文献/References:

[1]鞠永健.放射治疗中肿瘤控制概率的影响因素[J].国际放射医学核医学杂志,2002,26(4):183.
 JU Yong-jian.The influential factors of tumor control probability in radiotherapy[J].International Journal of Radiation Medicine and Nuclear Medicine,2002,26(3):183.

备注/Memo

备注/Memo:
收稿日期:1999-12-06。
基金项目:国家自然科学基金(39670228);卫生部课题项目(98-1-043)
作者简介:鞠永健(1973-),男,江苏泰兴人,中国医学科学院中国协和医科大学放射医学研究所硕士研究生,主要从事辐射剂量学及核素介入治疗时肿瘤控制概率计算公式的研究。
更新日期/Last Update: 1900-01-01