Molecular imaging and fusion targeted biopsy of the prostate

Baowei Fei, Peter T. Nieh, Viraj A. Master, Yun Zhang, Adeboye O. Osunkoya, David M. Schuster

Research output: Contribution to journalReview articlepeer-review

12 Scopus citations


Purpose: This paper provides a review on molecular imaging with positron emission tomography (PET) and magnetic resonance imaging (MRI) for prostate cancer detection and its applications in fusion targeted biopsy of the prostate. Methods: Literature search was performed through the PubMed database using the keywords “prostate cancer”, “MRI/ultrasound fusion”, “molecular imaging”, and “targeted biopsy”. Estimates in autopsy studies indicate that 50% of men older than 50 years of age have prostate cancer. Systematic transrectal ultrasound (TRUS) guided prostate biopsy is considered the standard method for prostate cancer detection and has a significant sampling error and a low sensitivity. Molecular imaging technology and new biopsy approaches are emerging to improve the detection of prostate cancer. Results: Molecular imaging with PET and MRI shows promising results in the early detection of prostate cancer. MRI/TRUS fusion targeted biopsy has become a new clinical standard for the diagnosis of prostate cancer. PET molecular image-directed, three-dimensional ultrasound-guided biopsy is a new technology that has great potential for improving prostate cancer detection rate and for distinguishing aggressive prostate cancer from indolent disease. Conclusion: Molecular imaging and fusion targeted biopsy are active research areas in prostate cancer research.

Original languageEnglish (US)
Pages (from-to)29-43
Number of pages15
JournalClinical and Translational Imaging
Issue number1
StatePublished - Feb 1 2017
Externally publishedYes


  • Image registration
  • Image segmentation
  • Magnetic resonance imaging (MRI)
  • Molecular imaging
  • Positron emission tomography (PET)
  • Prostate cancer
  • Targeted biopsy

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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