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Intra-procedure Deformable Ultrasound-MRI Fusion for Prostate Biopsies

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R41CA186414-01
Agency Tracking Number: R41CA186414
Amount: $224,926.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: NCI
Solicitation Number: PA13-235
Timeline
Solicitation Year: 2014
Award Year: 2014
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
13366 GRASS VALLEY AVENUE SUITE A
GRASS VALLEY, CA 95945-9549
United States
DUNS: 963346627
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 XENOPHON PAPADEMETRIS
 (203) 785-6148
 xenophon.papademetris@yale.edu
Business Contact
 SARADWATA SARKAR
Phone: (530) 274-1240
Email: sarad.sarkar@eigen.com
Research Institution
 YALE UNIVERSITY
 
YALE UNIVERSITY 47 COLLEGE STREET, STE 203
NEW HAVEN, CT 06510-3209
United States

 () -
 Nonprofit college or university
Abstract

This proposal is a collaborative effort between Yale University and the medical device company Eigen to develop a more robust and accurate method for the deformable fusion of pre-operative magnetic resonance images (MRI) and intra-procedure trans-rectal ultrasound (TRUS) images to guide prostate biopsy. Prostate cancer is a major cause of death in the U.S. and biopsy is the gold-standard for its diagnosis. Each year over 1.1 million biopsies are performed in the U.S. alone at a cost of well over 1 billion.Most of these biopsies are performed under TRUS guidance in a systematic fashion but blinded to potential tumor locations because many tumors are invisible on ultrasound. This procedure is highly inefficient and as many as 30% of serious tumors may be missed on a first-time biopsy. Multi-parametric MRI (mpMRI) acquired before the biopsy can be used to define potential targets and then used in conjunction with live TRUS imaging to perform targeted image-guided biopsy. A key challenge is the accurate regist

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