More reliable and accurate diagnostic estimation of tumor locations, volumes, and malignancy grade with MR would provide an invaluable service towards staging prostate cancer, particularly in cases with negative transrectal ultrasound (TRUS) biopsy. MR, due to the non-invasive nature, is a promising method for repeated exams in patients under active surveillance (AS) and for monitoring treatment effects. More detailed localization is also valuable for emerging targeted local therapies. The current collection of MR methods, which includes T2-weighted MRI, dynamic contrast-enhanced (DCE) MRI, diffusion-weighted MRI (DWI) and 3D-MR spectroscopic imaging (MRSI) appears to be very useful for staging of prostate cancer, particularly if used in combination. However, the potentially most sensitive and specific of these methods, namely DWI and MRSI, exhibit several deficiencies, which will be addressed by the technical developments contemplated for this project. Moreover, a novel contrast based on the separation of the fast and slow water diffusion components present in tissues, will be explored for improved detection of prostate cancer.
The specific aims are as follows: 1) To advance whole-gland MRSI by reducing scan duration to a clinically acceptable time, while improving spatial resolution and eliminating the problem of lipid contamination of spectra due to truncation artifacts. 2) To advance spatial resolution and geometric fidelity of prostate DWI with reduced field-of-view and segmented multi-shot imaging. 3) To perform MRI scans in prostate cancer patients with standard sequences and new MRSI and diffusion imaging sequences. Moreover, to attain a separation of diffusion components, which have the potential to be more sensitive and specific to tumor growth related tissue aberrations at the cellular level, it is planned to employ biexponential analysis of DWI data collected over a wider range of diffusion encoding strength (b-factor). Quantitative parameter maps will be generated from MRSI, DWI, and DCE MRI data. 4) To obtain MRI-guided biopsy data or whole-gland step section histology during clinically indicated follow-up procedures in order to validate that the improved techniques and the novel contrast permit superior detection of prostate cancer. Pre-procedural parameter maps will be co-registered to the biopsy or histology coordinate system. Gleason scores of individual biopsy cores and tumor outlines on microscopy images will be compared with findings on parameter maps. The utility of each parameter and combined parameters to differentiate tumor from normal tissue will be analyzed statistically.

Public Health Relevance

Magnetic resonance imaging plays an important role for staging of prostate cancer. We propose advances of magnetic resonance spectroscopic and water diffusion scans, which promise better detection of prostate cancer based on metabolic markers and water diffusion hindered by the presence of cell membranes.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA160902-02
Application #
8446312
Study Section
Special Emphasis Panel (ZRG1-DTCS-U (81))
Program Officer
Zhang, Huiming
Project Start
2012-04-01
Project End
2017-02-28
Budget Start
2013-03-01
Budget End
2014-02-28
Support Year
2
Fiscal Year
2013
Total Cost
$382,754
Indirect Cost
$168,326
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Aksit Ciris, Pelin; Chiou, Jr-Yuan George; Glazer, Daniel I et al. (2018) Accelerated Segmented Diffusion-Weighted Prostate Imaging for Higher Resolution, Higher Geometric Fidelity, and Multi-b Perfusion Estimation. Invest Radiol :
Zhang, Shelley HuaLei; Maier, Stephan E; Panych, Lawrence P (2018) Improved spatial localization in magnetic resonance spectroscopic imaging with two-dimensional PSF-Choice encoding. J Magn Reson 290:18-28
Langkilde, Fredrik; Kobus, Thiele; Fedorov, Andriy et al. (2018) Evaluation of fitting models for prostate tissue characterization using extended-range b-factor diffusion-weighted imaging. Magn Reson Med 79:2346-2358
Mulkern, Robert V; Balasubramanian, Mukund; Maier, Stephan E (2017) On the perils of multiexponential fitting of diffusion MR data. J Magn Reson Imaging 45:1545-1547
Fedorov, Andriy; Vangel, Mark G; Tempany, Clare M et al. (2017) Multiparametric Magnetic Resonance Imaging of the Prostate: Repeatability of Volume and Apparent Diffusion Coefficient Quantification. Invest Radiol 52:538-546
Mitsouras, Dimitris; Lee, Thomas C; Liacouras, Peter et al. (2017) Three-dimensional printing of MRI-visible phantoms and MR image-guided therapy simulation. Magn Reson Med 77:613-622
Mitsouras, Dimitris; Mulkern, Robert V; Maier, Stephan E (2016) Multicomponent T2 relaxation studies of the avian egg. Magn Reson Med 75:2156-64
Fedorov, Andriy; Tuncali, Kemal; Panych, Lawrence P et al. (2016) Segmented diffusion-weighted imaging of the prostate: Application to transperineal in-bore 3T MR image-guided targeted biopsy. Magn Reson Imaging 34:1146-54
Yamauchi, Fernando I; Penzkofer, Tobias; Fedorov, Andriy et al. (2015) Prostate cancer discrimination in the peripheral zone with a reduced field-of-view T(2)-mapping MRI sequence. Magn Reson Imaging 33:525-30
Madore, Bruno; Chiou, Jr-yuan George; Chu, Renxin et al. (2014) Accelerated multi-shot diffusion imaging. Magn Reson Med 72:324-36

Showing the most recent 10 out of 12 publications