Optimization of b‐value distribution for four mathematical models of prostate cancer diffusion‐weighted imaging using b values up to 2000 s/mm2: Simulation and repeatability study

To find optimal b‐value distributions for monoexponential, stretched exponential, kurtosis, and biexponential models of prostate cancer (PCa) diffusion‐weighted imaging (DWI) using simulations and repeated DWI examinations.

[1]  Baris Turkbey,et al.  Is apparent diffusion coefficient associated with clinical risk scores for prostate cancers that are visible on 3-T MR images? , 2011, Radiology.

[2]  A. Jemal,et al.  Cancer statistics, 2012 , 2012, CA: a cancer journal for clinicians.

[3]  T F Nonnenmacher,et al.  Anomalous diffusion of water in biological tissues. , 1996, Biophysical journal.

[4]  T. A. Carpenter,et al.  Optimised diffusion-weighting for measurement of apparent diffusion coefficient (ADC) in human brain. , 1997, Magnetic resonance imaging.

[5]  N. D. de Souza,et al.  Diffusion‐weighted imaging of the prostate and rectal wall: comparison of biexponential and monoexponential modelled diffusion and associated perfusion coefficients , 2009, NMR in biomedicine.

[6]  Stephan E Maier,et al.  Biexponential characterization of prostate tissue water diffusion decay curves over an extended b-factor range. , 2006, Magnetic resonance imaging.

[7]  Anders Kristoffersen,et al.  Statistical assessment of non‐Gaussian diffusion models , 2011, Magnetic resonance in medicine.

[8]  H. Merisaari,et al.  Evaluation of different mathematical models for diffusion‐weighted imaging of normal prostate and prostate cancer using high b‐values: A repeatability study , 2015, Magnetic resonance in medicine.

[9]  Geoffrey Watson,et al.  Biexponential diffusion decay in formalin‐fixed prostate tissue: Preliminary findings , 2012, Magnetic resonance in medicine.

[10]  J. Helpern,et al.  Diffusional kurtosis imaging: The quantification of non‐gaussian water diffusion by means of magnetic resonance imaging , 2005, Magnetic resonance in medicine.

[11]  Koichi Oshio,et al.  Biexponential apparent diffusion coefficients in prostate cancer. , 2009, Magnetic resonance imaging.

[12]  Bram Stieltjes,et al.  Toward an optimal distribution of b values for intravoxel incoherent motion imaging. , 2011, Magnetic resonance imaging.

[13]  D L Buckley,et al.  MR imaging measurement of compartmental water diffusion in perfused heart slices. , 2001, American journal of physiology. Heart and circulatory physiology.

[14]  Thomas Hambrock,et al.  Prostate cancer: multiparametric MR imaging for detection, localization, and staging. , 2011, Radiology.

[15]  H. Merisaari,et al.  Optimization of b‐value distribution for biexponential diffusion‐weighted MR imaging of normal prostate , 2014, Journal of magnetic resonance imaging : JMRI.

[16]  Y. Mazaheri,et al.  Diffusion-Weighted Magnetic Resonance Imaging of the Prostate: Improved Robustness With Stretched Exponential Modeling , 2012, Journal of computer assisted tomography.

[17]  M. Moche,et al.  Diagnostic value of ADC in patients with prostate cancer: influence of the choice of b values , 2012, European Radiology.

[18]  Aytekin Oto,et al.  Apparent diffusion coefficient for prostate cancer imaging: impact of B values. , 2014, AJR. American journal of roentgenology.

[19]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.

[20]  N. Dubrawsky Cancer statistics , 1989, CA: a cancer journal for clinicians.

[21]  P. Boesiger,et al.  SENSE: Sensitivity encoding for fast MRI , 1999, Magnetic resonance in medicine.

[22]  Thomas Hambrock,et al.  Relationship between apparent diffusion coefficients at 3.0-T MR imaging and Gleason grade in peripheral zone prostate cancer. , 2011, Radiology.

[23]  J. Fütterer,et al.  ESUR prostate MR guidelines 2012 , 2012, European Radiology.

[24]  Andreas Lemke,et al.  Investigation of prostate cancer using diffusion-weighted intravoxel incoherent motion imaging. , 2011, Magnetic resonance imaging.

[25]  Guang Yang,et al.  Evaluation of optimized b-value sampling schemas for diffusion kurtosis imaging with an application to stroke patient data , 2013, Comput. Medical Imaging Graph..

[26]  Yousef Mazaheri,et al.  Diffusion-weighted endorectal MR imaging at 3 T for prostate cancer: tumor detection and assessment of aggressiveness. , 2011, Radiology.

[27]  P. Kingsley,et al.  Selection of the optimum b factor for diffusion‐weighted magnetic resonance imaging assessment of ischemic stroke , 2004, Magnetic resonance in medicine.

[28]  Stephen J Blackband,et al.  Aldehyde fixative solutions alter the water relaxation and diffusion properties of nervous tissue , 2009, Magnetic resonance in medicine.

[29]  L. Tanoue Cancer Statistics, 2009 , 2010 .

[30]  D. Le Bihan,et al.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. , 1988, Radiology.

[31]  Qun Chen,et al.  Optimization of b‐value sampling for diffusion‐weighted imaging of the kidney , 2012, Magnetic resonance in medicine.