Share:
Share this content in WeChat
X
Clinical Article
Quantitative assessment of vascular kinetics using perfusion-weighted MRI for the differentiation of prostate cancer in the peripheral zone
FANG Jun-hua  MIN Xiang-de  FENG Zhao-yan  PENG Li  MA Yang-zhi  YE Zhang-qun  WANG Liang 

DOI:10.3969/j.issn.1674-8034.2015.02.011.


[Abstract] Objective: To assess vascular kinetics using perfusion-weighted MRI (PWI) in the differentiation of prostate cancer in the peripheral zone.Materials and Methods: Fifty-one patients with low T2 signal nodules in the prostate peripheral zone underwent PWI-MRI at 3 T were included in these study. Ktrans, Kep and Ve were compared between prostate cancer and benign nodules. Receiver operating characteristic(ROC) curve analyses were performed to determine the diagnostic accuracy of Ktrans, Kep and Ve.Results: The average values of Ktrans, Kep and Ve for prostate cancer and begin lesions were (0.150±0.046) vs (0.086±0.037), (0.518±0.181) vs (0.325±0.142) and (0.288±0.147) vs (0.306±0.141), respectively. There was statistically significant difference in Ktrans, Kep between prostate cancer and begin noduless (P<0.01). However, there was no statistically significant difference in Ve. The sensitivity, specificity for determining the prostate cancer of Ktrans, Kep were 86.11 %、80.6% and 79.32%、75.9%, respectively.Conclusions: Quantitative assessment of vascular kinetics using PWI is useful in the differentiation of prostate cancer in the peripheral zone.
[Keywords] Perfusion weighted MRI;Quantitative assessment;Prostate cancer;Differential diagnosis

FANG Jun-hua Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Department of Radiology, Zhijiang hospital of traditional Chinese medicine, Zhijiang 443200, China

MIN Xiang-de Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China

FENG Zhao-yan Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China

PENG Li Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China

MA Yang-zhi Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China

YE Zhang-qun Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China

WANG Liang* Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China

*Correspondence to: Wang L, E-mail: wang6@tjh.tjmu.edu.cn

Conflicts of interest   None.

Received  2014-10-27
Accepted  2014-12-26
DOI: 10.3969/j.issn.1674-8034.2015.02.011
DOI:10.3969/j.issn.1674-8034.2015.02.011.

[1]
Jemal A, Bray F, Center MM, et al. Global cancer statistics. CA: a cancer journal for clinicians, 2011, 61(2): 69-90.
[2]
韩苏军,张思维,陈万青,等.中国前列腺癌发病现状和流行趋势分析.临床肿瘤学杂志, 2013, 18(4): 330-334.
[3]
Barentsz JO, Richenberg J, Clements R, et al. ESUR prostate MR guidelines 2012. European radiology, 2012, 22(4): 746-757.
[4]
中华放射学杂志前列腺疾病诊疗工作组,中华放射学杂志编辑委员会.前列腺癌MR检查和诊断共识.中华放射学杂志, 2014, 48(7): 531-534.
[5]
闵祥德,王良,冯朝燕,等. RS-EPI序列在前列腺肿瘤D WI中的临床应用价值.放射学实践, 2014(5): 491-495.
[6]
Li C, Chen M, Li S, et al. Detection of prostate cancer in peripheral zone: comparison of MR diffusion tensor imaging, quantitative dynamic contrast-enhanced MRI, and the two techniques combined at 3.0 T. Acta radiological, 2014, 55(2): 239-247.
[7]
Tamura C, Shinmoto H, Soga S, et al. Diffusion kurtosis imaging study of prostate cancer: preliminary findings. Journal of magnetic resonance imaging: JMRI, 2014, 40(3): 723-729.
[8]
郭雪梅,王霄英,李飞宇,等.联合应用MR波谱分析与扩散加权成像定量指标行前列腺癌定量诊断.中华放射学杂志, 2010, 44(4): 387-391.
[9]
王利伟,王牧,王绍娟,等. MR扩散加权成像诊断前列腺癌的价值分析.磁共振成像, 2014, 5(3): 198-201.
[10]
王锡臻,牛庆亮,沈蓁,等.良性前列腺增生磁共振扩散张量成像的初步研究.磁共振成像, 2010, 1(1): 43-45.
[11]
Quentin M, Pentang G, Schimmoller L, et al. Feasibility of diffusional kurtosis tensor imaging in prostate MRI for the assessment of prostate cancer: preliminary results.Magnetic resonance imaging, 2014, 32(7): 880-885.
[12]
李春媚,陈敏,李飒英,等.前列腺癌的MRI诊断: T2WI、DWI、MRS及其综合应用.磁共振成像, 2010, 1(4): 257-263.
[13]
何为,刘毅,刘剑羽,等. 3.0 T MR动态增强扫描定量分析诊断前列腺癌的价值.中华放射学杂志, 2014, 48(3): 215-218.
[14]
Fukuoka D. Computer-aided diagnosis on the field of head and neck: development and current trends.Nihon Hoshasen Gijutsu Gakkai zasshi, 2013, 69(11): 1313-1319.
[15]
Dromain C, Boyer B, Ferre R, et al. Computed-aided diagnosis (CAD) in the detection of breast cancer.European journal of radiology, 2013, 82(3): 417-423.
[16]
Sung YS, Kwon HJ, Park BW, et al. Prostate cancer detection on dynamic contrast-enhanced MRI: computer-aided diagnosis versus single perfusion parameter maps. AJR American journal of roentgenology, 2011, 197(5): 1122-1129.
[17]
Sourbron SP, Buckley DL. Classic models for dynamic contrast-enhanced MRI. NMR in biomedicine, 2013, 26(8): 1004-1027.
[18]
程悦,季倩,张怡,等.磁共振动态增强定量分析对前列腺疾病的诊断价值.中华老年医学杂志, 2014, 33(1): 55-58.
[19]
Tofts PS, Brix G, Buckley DL, et al. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. Journal of magnetic resonance imaging: JMRI, 1999, 10(3): 223-232.
[20]
刘会佳,赵娓娓,任芳,等. 3.0T动态增强磁共振对前列腺癌的定量分析研究.放射学实践, 2014(5): 477-481.
[21]
王良,陈敏,沈钧康.倡导循证,推动前列腺疾病影像学的规范化发展.中华放射学杂志, 2014, 48(7): 529-530.

PREV Correlations between apparent diffusion coefficient values and histopathologic classification of breast invasive ductal carcinoma
NEXT Design and comparison of pulse sequence for detection of γ-aminobutyric acid using double quantum filter at 7 T MR spectroscopy
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn