Reliability of multiparametric prostatic MRI quantitative data in the evaluation of prostate cancer aggressiveness

Atta, Haisam; Elsaba, Tarek M.; Hassan, Hosni M.; Hafez, Moemen M.; Aboellela, Hassan A.; Imam, Hisham

doi:10.1016/j.ejrnm.2017.04.003

Cited by 1 publication

(1 citation statement)

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“…Metabolic ratios such as [(choline þ creatine)/citrate] are positively correlated to tumor Gleason score [29]. Quantitative analysis of metabolic ratio provided by MRSI can be used to evaluate PCa aggressiveness and to develop a therapeutic plan [30]. A 2019 meta-analysis for the diagnosis of PCa showed that MRSI has an 86% sensitivity, 78% specificity, and a mean diagnostic odds ratio of 22 [31].…”

Section: Magnetic Resonance Spectroscopy Imagingmentioning

confidence: 99%

Role of metabolic imaging in diagnosis of primary, metastatic, and recurrent prostate cancer

Hadavand¹,

Mayer

Chen³

et al. 2020

Current Opinion in Oncology

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Purpose of review: The present review describes the current role of metabolic imaging techniques such as multiparametric MRI (mpMRI), magnetic resonance spectroscopic imaging (MRSI), hyperpolarized MRSI, and positron emission tomography (PET) in the diagnosis of primary prostate cancer, surveillance of low-grade disease, detection of metastases, and evaluation of biochemical recurrence after therapy. Recent Findings: The natural history of prostate cancer ranges from indolent disease that is optimally monitored by active surveillance, to highly aggressive disease that can be lethal. Current diagnostic methods remain imperfect in noninvasively distinguishing between silent versus aggressive tumors. Hence, there is a high demand for noninvasive imaging techniques that offer insight into biological behavior of prostate cancer cells. Characterization of prostate cancer metabolism is a promising area to provide such insights. Summary: Metabolic imaging may allow for greater detection and ultimately characterization of tumor based on aggressiveness and spread. Hence, it has the potential to monitor tumor activity, predict prognostic outcomes, and guide individualized therapies.

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Section: Magnetic Resonance Spectroscopy Imagingmentioning

confidence: 99%