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学科主题: 临床医学
题名:
A clinically feasible method to estimate pharmacokinetic parameters in breast cancer
作者: 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
发表日期: 2009-08-01
DOI: 10.1118/1.3152113
卷: 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
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
项目资助者: 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
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/56377
Appears in Collections:北京大学第一临床医学院_放射治疗科_期刊论文

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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

Recommended Citation:
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.
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