IR@PKUHSC  > 北京大学第一临床医学院  > 放射治疗科
学科主题临床医学
A clinically feasible method to estimate pharmacokinetic parameters in breast cancer
Li, Jun1; Yu, Yanming1; Zhang, Yibao1; Bao, Shanglian1; Wu, Chunxue2; Wang, Xiaoying2; Li, Jie3; Zhang, Xiaopeng3; Hu, Jiani4
关键词Biomedical Mri Blood Vessels Cancer Cellular Biophysics Correlation Methods Data Acquisition Drugs Image Enhancement Image Segmentation Mammography Medical Image Processing Regression Analysis Tumours
刊名MEDICAL PHYSICS
2009-08-01
DOI10.1118/1.3152113
36期:8页:3786-3794
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Radiology, Nuclear Medicine & Medical Imaging
资助者Ministry of Science and Technology of China ; National Natural Science Foundation of China ; Susan G. Komen Breast Cancer Foundation ; NIH ; Ministry of Science and Technology of China ; National Natural Science Foundation of China ; Susan G. Komen Breast Cancer Foundation ; NIH
研究领域[WOS]Radiology, Nuclear Medicine & Medical Imaging
关键词[WOS]INPUT FUNCTION ; DCE-MRI ; RESONANCE ; T1 ; QUANTIFICATION ; SEGMENTATION ; T2
英文摘要

Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is the MRI technique of choice for detecting breast cancer, which can be roughly classified as either quantitative or semiquantitative. The major advantage of quantitative DCE-MRI is its ability to provide pharmacokinetic parameters such as volume transfer constant (K-trans) and extravascular extracellular volume fraction (v(e)). However, semiquantitative DCE-MRI is still the clinical MRI technique of choice for breast cancer diagnosis due to several major practical difficulties in the implementation of quantitative DCE-MRI in a clinical setting, including (1) long acquisition necessary to acquire 3D T-1(0) map, (2) challenges in obtaining accurate artery input function (AIF), (3) long computation time required by conventional nonlinear least square (NLS) fitting, and (4) many illogical values often generated by conventional NLS method. The authors developed a new analysis method to estimate pharmacokinetic parameters K-trans and v(e) from clinical DCE-MRI data, including fixed T-1(0) to eliminate the long acquisition for T-1(0) map and "reference region" model to remove the requirement of measuring AIF. Other techniques used in our analysis method are (1) an improved formula to calculate contrast agent (CA) concentration based on signal intensity of SPGR data, (2) FCM clustering-based techniques for automatic segmentation and generation of a clustered concentration data set (3) an empirical formula for CA time course to fit the clustered data sets, and (4) linear regression for the estimation of pharmacokinetic parameters. Preliminary results from computer simulation and clinical study of 39 patients have demonstrated (1) the feasibility of their analysis method for estimating K-trans and v(e) from clinical DCE-MRI data, (2) significantly less illogical values compared to NLS method (typically less than 1% versus more than 7%), (3) relative insensitivity to the noise in DCE-MRI data; (4) reduction in computation time by a factor of more than 30 times compared to NLS method on average, (5) high statistic correlation between the method used and NLS method (correlation coefficients: 0.941 for K-trans and 0.881 for v(e)), and (6) the potential clinical usefulness of the new method.

语种英语
所属项目编号2006CB705705 ; 10527003 ; 60672104 ; IMG0402881 ; R21 CA118569-01A1
资助者Ministry of Science and Technology of China ; National Natural Science Foundation of China ; Susan G. Komen Breast Cancer Foundation ; NIH ; Ministry of Science and Technology of China ; National Natural Science Foundation of China ; Susan G. Komen Breast Cancer Foundation ; NIH
WOS记录号WOS:000268440600043
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/56377
专题北京大学第一临床医学院_放射治疗科
作者单位1.Beijing Canc Hosp, Dept Radiol, Beijing 100036, Peoples R China
2.Wayne State Univ, Dept Radiol, Detroit, MI 48201 USA
3.Peking Univ, Key Lab Med Phys & Engn, Beijing 100871, Peoples R China
4.Peking Univ, Dept Radiol, Hosp 1, Beijing 100034, Peoples R China
推荐引用方式
GB/T 7714
Li, Jun,Yu, Yanming,Zhang, Yibao,et al. A clinically feasible method to estimate pharmacokinetic parameters in breast cancer[J]. MEDICAL PHYSICS,2009,36(8):3786-3794.
APA Li, Jun.,Yu, Yanming.,Zhang, Yibao.,Bao, Shanglian.,Wu, Chunxue.,...&Hu, Jiani.(2009).A clinically feasible method to estimate pharmacokinetic parameters in breast cancer.MEDICAL PHYSICS,36(8),3786-3794.
MLA Li, Jun,et al."A clinically feasible method to estimate pharmacokinetic parameters in breast cancer".MEDICAL PHYSICS 36.8(2009):3786-3794.
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