Oral Presentation Australian & New Zealand Society of Magnetic Resonance Conference 2017

Update MRI Update (#84)

Roger Bourne 1
  1. University of Sydney, Lidcombe, NSW, Australia

(No, there is no typo in the title)

Multiparametric prostate MRI (mpMRI) is the new “gold standard” for prostate imaging. Detection of significant disease is enhanced when biopsy is guided by mpMRI. Although mpMRI is increasingly being used to assess risk, uncertainties about its accuracy confuse treatment decisions. The response to diagnostic uncertainty is often therapeutic overcompensation -- many men undergo aggressive treatment for disease that is ultimately found to be insignificant, and suffer otherwise avoidable pain, stress, expenses, and complications including impotence and incontinence.

The DWI component of the mpMRI scan has stronger correlations with both cancer grade and volume than the T2 and dynamic contrast (DCE) scans,(1-3) and there is growing evidence that the DCE component may be redundant (eg.(4)). Nevertheless the DWI component of recommended mpMRI protocols is performed in the most unsophisticated way possible -- by calculation of a single apparent diffusion coefficient (ADC) using a tissue diffusion model that is now well-known to be wrong (5,6).

This presentation summarizes the recent prostate DWI model wars, new information-based methods of comparing models, and promising new methods of inferring diagnostic tissue microstructure changes from advance DWI acquisition and data analysis methods.

  1. 1. Isebaert S, Van den Bergh L, Haustermans K, Joniau S, Lerut E, De Wever L, De Keyzer F, Budiharto T, Slagmolen P, Van Poppel H, Oyen R. Multiparametric MRI for prostate cancer localization in correlation to whole-mount histopathology. Journal of Magnetic Resonance Imaging 2012;37:1392-1401.
  2. 2. Selnaes K, Heerschap A, Jensen L, al e. Peripheral Zone Prostate Cancer Localization by Multiparametric Magnetic Resonance at 3 T: Unbiased Cancer Identification by Matching to Histopathology. Investigative Radiology 2012;47(11):624-633.
  3. 3. Metzger GJ, Kalavagunta C, Spilseth B, Bolan PJ, Li X, Hutter D, Nam JW, Johnson AD, Henriksen JC, Moench L. Detection of Prostate Cancer: Quantitative Multiparametric MR Imaging Models Developed Using Registered Correlative Histopathology. Radiology 2016;279(3):805-816.
  4. 4. Fascelli M, Rais-Bahrami S, Sankineni S, Brown AM, George AK, Ho R, Frye T, Kilchevsky A, Chelluri R, Abboud S. Combined biparametric prostate magnetic resonance imaging and prostate-specific antigen in the detection of prostate cancer: a validation study in a biopsy-naive patient population. Urology 2016;88:125-134.
  5. 5. Bourne RM. The trouble with apparent diffusion coefficient (ADC) papers. Journal of Medical Radiation Sciences 2015;62(2):89-91.
  6. 6. Bourne R, Panagiotaki E. Limitations and Prospects for Diffusion-Weighted MRI of the Prostate. Diagnostics 2016;6(2):21.