Publications by authors named "Gabriel Lion Gouvea"

Prostate cancer (PCa) relapse, defined either by persistent PSA levels (after RP) or biochemical recurrence (BCR), is a common occurrence. The imaging evaluation of patients experiencing PCa relapse has undergone significant advancements in the past decade, notably with the introduction of new Positron Emission Tomography (PET) tracers such as Prostate-specific membrane antigen (PSMA), and the progress in functional Magnetic Resonance Imaging (MRI). This article will explore the role of traditional imaging, the evolution of MRI towards the development of the Prostate Magnetic Resonance Imaging for Local Recurrence Reporting (PI-RR) scoring system, and how next-generation imaging is enhancing diagnostic accuracy in the setting of PCa relapse, which is essential for adopting personalized strategies that may ultimately impact outcomes.

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Background: A scoring system focusing on the risk of muscle layer invasion by Bladder cancer (BCa) has been released, Vesical Imaging - Radiological and Data System (VI-RADS), with a growing interest in evaluating its diagnostic accuracy. Our goal was to assess the accuracy and reproducibility of the VI-RADS score for assessment of the vesical muscular layer with (multiparametric-mp) and without (biparametric-bp) a dynamic-contrast enhancement (DCE) sequence.

Methods: Retrospective study conducted from July 2018 to July 2020.

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Synopsis of recent research by authors named "Gabriel Lion Gouvea"

  • - Gabriel Lion Gouvea's recent research focuses on the diagnostic accuracy and reproducibility of the Vesical Imaging, Reporting and Data System (VI-RADS) specifically in the context of bladder cancer detection.
  • - His study investigates the impact of dynamic contrast-enhancement (DCE) sequences in improving the assessment of the vesical muscular layer in patients, comparing results with and without DCE.
  • - This research, published in May 2022 in the journal "Cancer Imaging," analyzed retrospective data to evaluate the effectiveness of VI-RADS in predicting muscle layer invasion by bladder cancer.