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正常前列腺组织IVIM-DWI的可重现性研究及年龄相关性分析 被引量:5

The reproducibility of IVIM-DWI in normal prostate and age-related analysis
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摘要 目的:探讨体素内不相干运动扩散加权成像(IVIM-DWI)各相关参数在正常前列腺组织中的可重现性,并分析其随年龄的变化趋势。材料与方法将66名符合纳入标准的各年龄段健康志愿者分成三组(A组,15~30岁,13名;B组,31~50岁,25名;C组,≥51岁,28名),在3.0 T磁场强度下对志愿者行IVIM-DWI扫描,休息30 min后行第二次IVIM-DWI扫描(b值0、25、50、75、100、150、200、400、600、800、1000、1200、1500、2000、3000 s/mm2),应用双指数模型对信号衰减进行分析得出slow ADC值,fast ADC值及f值。采用配对样本t检验研究前后两次扫描之间的差异,探讨各参数的可重现性;采用方差分析(ANOVA)及LSD法对各参数在不同年龄段正常前列腺组织中的差异进行比较,分析其随年龄的变化趋势。结果 A组健康志愿者前列腺中央腺fast ADC值两次测量数据差异有统计学意义(P=0.022),其余各参数两次测量数据差异没有统计学意义;slow ADC值外周带A、B组及A、C组间差异有统计学意义,B、C组间差异无统计学意义,中央腺A、C组及B、C组间差异有统计学意义,A、B组间差异无统计学意义;fast ADC值外周带及中央腺各组两两间均无显著性差异;f值外周带各组两两间均有显著性差异,中央腺A、C组及B、C组间差异有统计学意义,A、B组间差异无统计学意义;前列腺外周带及中央腺slow ADC值、f值总体上随年龄段升高呈上升趋势。结论不同年龄段正常前列腺组织的IVIM-DWI各相关参数总体上具有良好的可重现性;应用影像学手段,通过对IVIM-DWI相关参数的分析,可以定量的反映前列腺随年龄升高而发生的各种细胞水平的变化,为前列腺疾病的诊断及定量分析提供可靠的依据。 Objective:To investigate the reproducibility of the intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) derived parameters, and analyze the change of the IVIM-DWI derived parameters of normal prostate in different age groups. Materials and Methods:Sixty-six volunteers conformed to the standards were divided into three groups (group A, 15—30 years, 13. Group B, 31—50 years, 25. Group C,≥51 years, 28) and underwent the scanning of IVIM-DWI with 15 b-factors from 0 to 3000 (0, 25, 50, 75, 100, 150, 200, 400, 600, 800, 1000, 1200, 1500, 2000, 3000 s/mm2) twice with an interval of 30 minutes using 3.0 T MRI device, the biexponential ifts were applied to ifgure out the slow ADC, fast ADC and f values. The reproducibility of every parameters were investigated by the paired t-test. The differences of every parameters in normal prostate between the three age groups were assessed using one-way analysis of variance (ANOVA) and the least significant difference (LSD) t-test. Results: Slow ADC, fast ADC and f values showed good reproducibility in both peripheral zone (PZ) and central gland (CG) of three age groups, except fast ADC in CG of group A (P=0.022). The slow ADC and f values of the prostate peripheral zone and central gland had the upward tendency with age increasing. Slow ADC showed signiifcant difference between group A and B, group A and C, while had no signiifcant difference between group B and C in PZ, and slow ADC showed signiifcant difference between group A and C, group B and C, while had no signiifcant difference between group A and B in CG. Fast ADC in both PZ and CG between three age groups had no signiifcant different. F value show signiifcant difference between three age groups in PZ, while in CG f value show signiifcant difference between group A and C, group B and C, while had no signiifcant difference between group A and B. Conclusions:In general, a good reproducibility of IVIM-DWI derived parameters in normal prostate of three age groups was observed. IVIM-DWI technology relfected the age-related change of prostate tissues in the celluar level, and the derived parameters could set a reliable reference to the quantitative analysis of prostate diseases.
出处 《磁共振成像》 CAS CSCD 2015年第11期848-854,共7页 Chinese Journal of Magnetic Resonance Imaging
基金 广东省社会发展领域科技计划项目(编号2013B021800161)
关键词 前列腺 磁共振成像 年龄因素 Prostate Magnetic resonance imaging Age factors
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  • 1Shu-JieXIA,Gang-YaoHAO,Xiao-DaTANG.Androgen receptor isoforms in human and rat prostate[J].Asian Journal of Andrology,2000,2(4):307-310. 被引量:12
  • 2Shu-JieXIA,Chun-XiaoXU,Xiao-DaTANG,Wan-ZhongWANG,De-LiDU.Apoptosis and hormonal milieu in ductal system of normal prostate and benign prostatic hyperplasia[J].Asian Journal of Andrology,2001,3(2):131-134. 被引量:13
  • 3Shu-JieXIA,Xiao-DaTANG,Qing-ZhengMA.Androgen receptor isoforms in human prostatic cancer tissue and LNCaP cell line[J].Asian Journal of Andrology,2001,3(3):223-225. 被引量:12
  • 4Shimizu T, Nishie A, Ro T, et al. Prostate cancer detection: the value of performing an MRI before a biopsy. Acta Radiol, 2009, 50(9): 1080-1088.
  • 5Koh DM, Collins DJ. Diffusion-weighted MRI in the body: applications and challenges in the oncology. AJR,2007, 188(6): 1622-1635.
  • 6Koh DM, Scurr E, Collins DJ, et al. Predicting Response of colorectal hepatic metastasis: value of pretreatment apparent diffusion coefficients. AJR, 2007, 188(4): 1001- 1008.
  • 7Stejskal EO, Tanner JE. Spin diffusion measurements: spin-echo in the presences of a time dependant field gradient. J Chem Phys, 1965, 42(1):288-292.
  • 8Woodfield CA, Tung GA, Grand DJ, et al. Diffusion-weighted MRI of peripheral zone prostate cancer: comparison of tumor apparent diffusion coefficient with Gleason score and percentage of tumor on core biopsy. AJR, 2010, 194(4): 316-322.
  • 9Kim CK, Park BK, Kim B. Diffusion-weighted MRI at 3 T for the evaluation of prostate cancer. AJR, 2010, 194(6): 1461-1469.
  • 10Hosseinzadeh K, Schwarz SD. Endorectal diffusion- weighted imaging in prostate cancer to differentiate malignant and benign peripheral zone tissue. J Magn Reson Imaging, 2004, 20(4): 654-661.

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  • 1李飞宇,王霄英,许玉峰,肖江喜,蒋学祥.不同年龄段正常成人前列腺外周带ADC值的初步研究[J].实用放射学杂志,2006,22(12):1496-1499. 被引量:16
  • 2Geert L, Oscar D, Jelle B, et al. Computer-Aided Detection of Prostate Cancer in MRI. IEEE Trans Med Image, 2014, 33(5): 1083-1092.
  • 3Andrew S, Paul ST, Gareth JB, et al. Sources of intensity nonuniformity in spin echo images at 1.5 T. Magn Reson Med, 1994, 32(1): 121-128.
  • 4Uros V, Franjo P, Bostjan L. A review of methods for correction of intensity inhomogeneity in MRI. IEEE Trans Med Imag, 2007, 17(3): 405-421.
  • 5Johnston B, Atkins MS, Mackiewich B, et al. Segmentation of multiple sclerosis lesions in intensity corrected multispec-tral MR1. IEEE Trans Med Imag, 1996, 15(2): 154-169.
  • 6Milles J, Zhu YM, Gimenez G, et al. MRI intensity nonuniformity correction using simultaneously spatial and gray-level histogram information. Medical imaging, 2004, 31(2): 81-90.
  • 7Li CM, John CG, Christos D. Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation. Magnetic Resonance Imaging, 2014, 32(7): 913-923.
  • 8Paul AY, Joseph P, Heather CH, et al. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability, Neuroimage, 2006, 31 (3): 1116-1128.
  • 9王建业,陈鑫,刘明,陈敏.MRI在前列腺癌诊断和治疗中的应用[J].磁共振成像,2010,1(4):253-256. 被引量:8
  • 10高新波,裴继红,谢维信.模糊c-均值聚类算法中加权指数m的研究[J].电子学报,2000,28(4):80-83. 被引量:157

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