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学科主题: 临床医学
题名:
Probability parametric imaging with DCE-MRI data to identify prostate cancer in the peripheral zone
作者: Huang Xinrui; Wang Qiang; Xu Yufeng; Wang Xiaoying; Bao Shanglian
关键词: time-intensity curve ; prostate ; DCE-MRI ; logistic regression ; probability parametric image
刊名: PROGRESS IN NATURAL SCIENCE
发表日期: 2006-09-01
卷: 16, 期:9, 页:948-953
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Materials Science, Multidisciplinary ; Multidisciplinary Sciences
研究领域[WOS]: Materials Science ; Science & Technology - Other Topics
关键词[WOS]: CONTRAST-ENHANCED MRI ; DYNAMIC MRI ; SEMIQUANTITATIVE ANALYSIS ; TUMOR MICROCIRCULATION ; DIFFERENTIATION ; REPRODUCIBILITY ; CARCINOMA ; TISSUES ; MODEL
英文摘要:

To quantitatively analyze prostate dynamic contrast-enhanced magnetic resonance images (DCE-MRI), a retrospective study was carried out to construct a mathematical model to predict whether a lesion is cancerous or not. With known diagnosis of 52 regions-of-interest (10 malignant, 26 benign and 16 normal) in peripheral zone (PZ) of prostate from 18 patients undergoing needle biopsy and 8 normal volunteers, we combined feature parameters (k(1), k(2) and t(p)) from the linear-slope model with logistic regression to determine the statistical probability model. Prostate cancerous probability maps were derived using the model on each subject to examine the correlation between the model-based prediction and the known diagnosis. Compared the model prediction results of 52 regions-of-interest with the histopathologic results, the total agreement rate was 96.4%; the agreement rate was 60% for the malignant and 97.6% for the nonmalignant. The diagnostic results only referencing the probability maps by two radiologists showed a high agreement in tissue characteristics and lesion location with the combining results from other diagnostic techniques such as PSA (prostate specific antigen) level and MRS (magnetic resonance spectroscopy).

语种: 英语
WOS记录号: WOS:000242122100009
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/60822
Appears in Collections:北京大学第一临床医学院_期刊论文

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作者单位: 1.Peking Univ, Key Lab Med Phys & Engn, Beijing 100871, Peoples R China
2.Peking Univ, Sch Med, Beijing 100083, Peoples R China
3.Peking Univ, Hosp 1, Beijing 100034, Peoples R China

Recommended Citation:
Huang Xinrui,Wang Qiang,Xu Yufeng,et al. Probability parametric imaging with DCE-MRI data to identify prostate cancer in the peripheral zone[J]. PROGRESS IN NATURAL SCIENCE,2006,16(9):948-953.
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