ABSTRACT
Precision imaging provides a descriptive, predictive, and integrative approach to disease diagnosis and stratification that maps disease-specific pathophysiology mechanisms onto quantitative imaging phenotypes with an estimate of their confidence. This chapter focuses on precision imaging of prostate cancer. 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 (mpMRI). MpMRI consists of T2-weighted sequences combined with functional sequences including dynamic contrast-enhanced MRI, diffusion-weighted MRI, and MR spectroscopy imaging. Due to the large data and variations in imaging sequences, detection can be affected by multiple factors such as observer variability and visibility and complexity of the lesions. In order to improve quantitative assessment of the disease, various computer-aided detection systems have been designed to help radiologists in their clinical practice. This chapter presents an overview of literatures on computer-aided detection of prostate cancer with mpMRI, which include the technology and its applications. The aim of the chapter 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.
