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Prostate Cancer Assessment Via Integrated 3D ARFI Elasticity Imaging and Multi-Parametric MRI

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R41CA196565-01
Agency Tracking Number: R41CA196565
Amount: $150,002.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: 102
Solicitation Number: PA14-157
Timeline
Solicitation Year: 2017
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-04-01
Award End Date (Contract End Date): 2016-09-30
Small Business Information
28 CORPORATE DRIVE
Clifton Park, NY 12065-8688
United States
DUNS: 010926207
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 MARK PALMERI
 (919) 660-5158
 mark.palmeri@duke.edu
Business Contact
 KATIE OSTERDAHL
Phone: (518) 371-3971
Email: proposals@kitware.com
Research Institution
 DUKE UNIVERSITY
 
2200 W MAIN ST, SUITE 820
DURHAM, NC 27705-4673
United States

 Nonprofit College or University
Abstract

DESCRIPTION provided by applicant Prostate cancer PCA is the most common non skin cancer and the second leading cause of cancer death in American men with over new cases diagnosed and over PCA deaths annually in the United States Ultrasound guided biopsy is the standard of care for confirming cancer typically following elevated PSA levels however it has been estimated that up to of men require three or more biopsy sessions for diagnosis and biopsies have a high risk of hemorrhage and infection Furthermore biopsies are not sufficient for tumor delineation or characterization because they sparsely sample the entire organ Regretfully the deficiencies of biopsy have lead to over treatment of indolent disease with radical prostatectomies a drastic treatment that has significant risks of infection hemorrhage urinary incontinence and impotence We are the inventors of Acoustic Radiation Force Impulse ARFI imaging and the inventors of Shear Wave Elasticity Imaging SWEI methods We have now combined those methods into ARFI SWEI imaging sequences that define a new and novel multi parametric ultrasonic elasticity imaging system This multi parametric elasticity imaging approach provides an absolute quantitative measure of tissue stiffness at high resolution in D using ultrasound We hypothesize that synergistic diagnostic
information from B mode ARFI SWEI and multi parametric MRI mpMRI e g diffusion weighted imaging and MR spectroscopy imaging enable a the sensitive and specific diagnosis of PCA and b the accurate delineation of PCA margins We propose retrospective studies on existing D B mode ARFI SWEI and mpMRI imaging datasets to test this hypothesis

PUBLIC HEALTH RELEVANCE Prostate cancer is the second leading cause of cancer death in American men with over new cases and over deaths annually We have developed a novel ultrasonic elasticity imaging technique called Acoustic Radiation Force Impulse Shear Wave Elasticity Imaging ARFI SWEI that is an enhanced multi parametric version of ultrasound imaging We propose to test ARFI SWEIandapos s ability to replace invasive and risky biopsies for PCA diagnosis and focal treatment planning

* Information listed above is at the time of submission. *

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