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Author Notes:

Corresponding Author: Dr. Baowei Fei, Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1841 Clifton Road NE, Atlanta, GA, 30329, Telephone: 404-712-5649, Fax: 404-712-5689, bfei@emory.edu

Subjects:

Research Funding:

This work was partially supported by NIH grants R01CA156775, R21CA176684, and P50CA128301.

Z. Zhang was supported by the National Natural Science Foundation of China (81372274).

The work was also partially supported by a Georgia Research Alliance Distinguished Scientists Award.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Radiology, Nuclear Medicine & Medical Imaging
  • Prostate cancer
  • MR imaging
  • image quantification
  • computer-aided detection
  • CONTRAST-ENHANCED MRI
  • HIGH-B-VALUE
  • DIFFUSION-WEIGHTED MRI
  • MULTI-PARAMETRIC MRI
  • MAGNETIC-RESONANCE IMAGES
  • ULTRASOUND-GUIDED BIOPSY
  • SUPPORT VECTOR MACHINES
  • WHOLE-MOUNT HISTOLOGY
  • PERIPHERAL ZONE
  • GLEASON SCORE

Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications

Tools:

Journal Title:

Academic Radiology

Volume:

Volume 23, Number 8

Publisher:

, Pages 1024-1046

Type of Work:

Article | Post-print: After Peer Review

Abstract:

One in six men will develop prostate cancer in his lifetime. Early detection and accurate diagnosis of the disease can improve cancer survival and reduce treatment costs. Recently, imaging of prostate cancer has greatly advanced since the introduction of multiparametric magnetic resonance imaging (mp-MRI). Mp-MRI consists of T2-weighted sequences combined with functional sequences including dynamic contrast-enhanced MRI, diffusion-weighted MRI, and magnetic resonance spectroscopy imaging. Because of the big data and variations in imaging sequences, detection can be affected by multiple factors such as observer variability and visibility and complexity of the lesions. To improve quantitative assessment of the disease, various computer-aided detection systems have been designed to help radiologists in their clinical practice. This review paper presents an overview of literatures on computer-aided detection of prostate cancer with mp-MRI, which include the technology and its applications. The aim of the survey is threefold: an introduction for those new to the field, an overview for those working in the field, and a reference for those searching for literature on a specific application.

Copyright information:

© 2016 The Association of University Radiologists.

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