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Motion corrected DWI with integrated T2-mapping for simultaneous estimation of ADC, T2-relaxation and perfusion in prostate cancer
Umeå University, Faculty of Medicine, Department of Radiation Sciences. Department of Radiology, Uppsala University Hospital, Uppsala, Sweden.
Umeå University, Faculty of Medicine, Department of Radiation Sciences.
2017 (English)In: Magnetic Resonance Imaging, ISSN 0730-725X, E-ISSN 1873-5894, Vol. 39, 162-167 p.Article in journal (Refereed) Published
Abstract [en]

Objective: Multiparametric magnetic resonance imaging (MRI) and PI-RADS (Prostate Imaging - Reporting and Data System) has become the standard to determine a probability score for a lesion being a clinically significant prostate cancer. T2-weighted and diffusion-weighted imaging (DWI) are essential in PI-RADS, depending partly on visual assessment of signal intensity, while dynamic-contrast enhanced imaging is less important. To decrease inter-rater variability and further standardize image evaluation, complementary objective measures are in need. Methods: We here demonstrate a sequence enabling simultaneous quantification of apparent diffusion coefficient (ADC) and T2-relaxation, as well as calculation of the perfusion fraction f from low b-value intravoxel incoherent motion data. Expandable wait pulses were added to a FOCUS DW SE-EPI sequence, allowing the effective echo time to change at run time. To calculate both ADC and f, b-values 200 s/mm(2) and 600 s/mm(2) were chosen, and for T2-estimation 6 echo times between 64.9 ms and 114.9 ms were used. Results: Three patients with prostate cancer were examined and all had significantly decreased ADC and T2 values, while f was significantly increased in 2 of 3 tumors. T2 maps obtained in phantom measurements and in a healthy volunteer were compared to T2 maps from a SE sequence with consecutive scans, showing good agreement. In addition, a motion correction procedure was implemented to reduce the effects of prostate motion, which improved T2-estimation. Conclusions: This sequence could potentially enable more objective tumor grading, and decrease the inter-rater variability in the PI-RADS classification.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 39, 162-167 p.
Keyword [en]
Prostate cancer, Apparent diffusion coefficient, Diffusion weighted imaging, T2-relaxation, Magnetic resonance imaging, Perfusion
National Category
Radiology, Nuclear Medicine and Medical Imaging Medical Laboratory and Measurements Technologies
Identifiers
URN: urn:nbn:se:umu:diva-136049DOI: 10.1016/j.mri2017.03.003ISI: 000401051200021PubMedID: 28286063OAI: oai:DiVA.org:umu-136049DiVA: diva2:1112199
Available from: 2017-06-20 Created: 2017-06-20 Last updated: 2017-06-20Bibliographically approved

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Skorpil, MikaelBrynolfsson, Patrik
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CiteExportLink to record
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Citation style
  • apa
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