Publications by authors named "Thomaz R Mostardeiro"
Article Synopsis
- MR fingerprinting (MRF) is an innovative technique for measuring MR relaxometry with high precision, but its complex data requirements hinder its widespread use.
- A deep learning (DL) network, specifically a U-Net, was created to synthesize MRF signals from regular magnitude-only MRI data collected from 37 volunteers, comparing the results with actual acquired MRF signals.
- The study found strong concordance between synthesized and actual MRF data, indicating that DL can enable quantitative relaxometry without the need for specialized MRF pulse sequences.
Multiple sclerosis lesion detection with 3D double inversion recovery (DIR) as compared to 3D fluid low attenuation inversion recovery (T2-FLAIR): A systematic review and meta-analysis.
Mult Scler Relat Disord
November 2024
Article Synopsis
- A meta-analysis was conducted to compare lesion detection rates in Multiple Sclerosis between Double Inversion Recovery (DIR) and T2-FLAIR imaging techniques, focusing on 3D acquisition methods.
- Data was gathered from multiple medical databases, assessing various studies that met strict inclusion criteria to ensure relevance and accuracy.
- The analysis revealed that DIR significantly outperformed T2-FLAIR in detecting intracortical and infratentorial lesions, while results for total cortical lesions did not show significant differences between the two methods.
Objective: To evaluate utilities of multiparametric MRI and targeted biopsy to detect clinically significant prostate cancer in men with prostatomegaly.
Materials And Methods: We conducted a retrospective review of multiparametric MRI obtained for elevated PSA between 2017 and 2020. We selected patients with prostates ≥80 g who had undergone biopsy.
Article Synopsis
- Researchers studied how well multiparametric MRI (mpMRI) detects a type of prostate cancer with a cribriform pattern, which is important for treatment outcomes.
- They looked at 117 men who had both mpMRI and a biopsy to find out how good the MRI was at spotting these cancers.
- The results showed that while mpMRI was good at finding many prostate cancers, it often missed the cribriform type, especially if the tumors were small or in specific parts of the prostate.
Background: MR fingerprinting (MRF) is a novel imaging method proposed for the diagnosis of Multiple Sclerosis (MS). This study aims to determine if MR Fingerprinting (MRF) relaxometry can differentiate frontal normal appearing white matter (F-NAWM) and splenium in patients diagnosed with MS as compared to controls and to characterize the relaxometry of demyelinating plaques relative to the time of diagnosis.
Methods: Three-dimensional (3D) MRF data were acquired on a 3.
Purpose: MR fingerprinting (MRF) is a MR technique that allows assessment of tissue relaxation times. The purpose of this study is to evaluate the clinical application of this technique in patients with meningioma.
Materials And Methods: A whole-brain 3D isotropic 1mm acquisition under a 3.
Objective: The objective of this study was to measure the accuracy and interobserver agreement of the Prostate Imaging Reporting and Data System, version 2 (PI-RADSv2), for the characterization of prostate lesions on multiparametric MRI.
Materials And Methods: This retrospective study included 170 men examined at a single institution between August 2014 and February 2015 on a 3-T MRI scanner. Study patients were found to have lesions concerning for prostate cancer that were targeted for MRI/transrectal ultrasound fusion biopsy.