Early Detection of Clinically Significant Prostate Cancer Using Ultrasonic Acoustic Radiation Force Impulse (ARFI) Imaging

Abstract

Prostate cancer (PCa) is the second most common cancer in men in the United States, with over 220,000 cases newly diagnosed, and over 27,000 deaths annually. Although diagnosis is currently performed by biopsy under ultrasound guidance, the systematic sampling approach has poor sensitivity due in large part to the low specificity of B-mode ultrasound for PCa. Our overall goal is to develop a 3D ultrasound acoustic radiation force impulse (3D-ARFI) elasticity imaging system that can be used in the clinic for first-time biopsy to facilitate targeting prostate biopsies toward regions that are suspicious for clinically significant PCa due to their elevated stiffness. In the past year, we have finalized our sequencing, data acquisition, and real-time processing and 3D display algorithms. We have analyzed our imaging system in tissue mimicking phantoms, and obtained IRB approval for and initiated imaging in patients with prostate cancer who are expecting radical prostatectomy. We have also developed data analysis tools to be used to assess the system performance in the in vivo studies. The impact of this system, if successful, will be to change the standard of care by enabling detection of the most significant disease present in the prostate upon initial biopsy and diagnosis, facilitating improved treatment decisions and patient outcomes.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2018
Accession Number
AD1094954

Entities

People

  • Kathryn R. Nightingale

Organizations

  • Duke University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Data Acquisition
  • Data Analysis
  • Data Processing
  • Detection
  • Elastic Properties
  • Image Processing
  • Modulus Of Elasticity
  • Prostate Cancer
  • Radiation
  • Standards
  • Stiffness
  • Three Dimensional
  • Two Dimensional
  • United States
  • Waves

Fields of Study

  • Medicine
  • Physics

Readers

  • Medical Imaging.
  • Oncology and Biomarker-Based Cancer Detection.