Added value of pre-biopsy prostate multiparametric MRI in biopsy-naïve patients: Preliminary results of the MRI-FIRST trial

2017 ◽  
Vol 16 (3) ◽  
pp. e863-e864 ◽  
Author(s):  
O. Rouviere ◽  
P. Puech ◽  
R. Renard Penna ◽  
M. Claudon ◽  
C. Roy ◽  
...  
Keyword(s):  
Multiparametric Mri ◽  
Added Value ◽  
Preliminary Results

scholarly journals Multiparametric MRI Texture Analysis in Prediction of Glioma Biomarker Status: Added Value of MR Diffusion

2021 ◽  
Author(s):  
Shingo Kihira ◽  
Nadejda Tsankova ◽  
Adam Bauer ◽  
Yu Sakai ◽  
Keon Mahmoudi ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Diffusion Mri ◽  
Test Group ◽  
Multiparametric Mri ◽  
Added Value ◽  
Conventional Mri ◽  
Mri Features ◽  
Wide Range ◽  
Mr Diffusion ◽  
And Diffusion

Abstract Background Early identification of glioma molecular phenotypes can lead to understanding of patient prognosis and treatment guidance. We aimed to develop a multiparametric MRI texture analysis model using a combination of conventional and diffusion MRI to predict a wide range of biomarkers in patients with glioma. Methods In this retrospective study, patients were included if they 1) had diagnosis of gliomas with known IDH1, EGFR, MGMT, ATRX, TP53 and PTEN status from surgical pathology and 2) had preoperative MRI including FLAIR, T1c+ and diffusion for radiomic texture analysis. Statistical analysis included logistic regression and receiver-operating characteristic (ROC) curve analysis to determine the optimal model for predicting glioma biomarkers. A comparative analysis between ROCs (conventional only vs. conventional + diffusion) was performed. Results From a total of 111 patients included, 91 (82%) were categorized to training and 20 (18%) to test datasets. Constructed cross-validated model using a combination of texture features from conventional and diffusion MRI resulted in overall AUC/accuracy of 1/79% for IDH1, 0.99/80% for ATRX, 0.79/67% for MGMT, and 0.77/66% for EGFR. The addition of diffusion data to conventional MRI features significantly (p<0.05) increased predictive performance for IDH1, MGMT and ATRX. The overall accuracy of the final model in predicting biomarkers in the test group was 80% (IDH1), 70% (ATRX), 70% (MGMT) and 75% (EGFR). Conclusion Addition of MR diffusion to conventional MRI features provides added diagnostic value in preoperative determination of IDH1, MGMT, and ATRX in patients with glioma.

scholarly journals Design, Fabrication, and Characterization of New Materials Based on Zirconia Doped with Mixed Rare Earth Oxides: Review and First Experimental Results

Metals ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 746 ◽  
Author(s):  
Adrian Mihail Motoc ◽  
Sorina Valsan ◽  
Anca Elena Slobozeanu ◽  
Mircea Corban ◽  
Daniele Valerini ◽  
...  
Keyword(s):  
Rare Earth ◽  
High Temperature ◽  
Extreme Environments ◽  
Chemical Properties ◽  
Electronic Configuration ◽  
Electron Beam Evaporation ◽  
Rare Earth Oxides ◽  
Added Value ◽  
High Price ◽  
Preliminary Results

Monazite is one of the most valuable natural resources for rare earth oxides (REOs) used as dopants with high added value in ceramic materials for extreme environments applications. The complexity of the separation process in individual REOs, due to their similar electronic configuration and physical–chemical properties, is reflected in products with high price and high environmental footprint. During last years, there was an increasing interest for using different mixtures of REOs as dopants for high temperature ceramics, in particular for ZrO2-based thermal barrier coatings (TBCs) used in aeronautics and energy co-generation. The use of mixed REOs may increase the working temperature of the TBCs due to the formation of tetragonal and cubic solid solutions with higher melting temperatures, avoiding grain size coarsening due to interface segregation, enhancing its ionic conductivity and sinterability. The thermal stability of the coatings may be further improved by using rare earth zirconates with perovskite or pyrochlore structures having no phase transitions before melting. Within this research framework, firstly we present a review analysis about results reported in the literature so far about the use of ZrO2 ceramics doped with mixed REOs for high temperature applications. Then, preliminary results about TBCs fabricated by electron beam evaporation starting from mixed REOs simulating the real composition as occurring in monazite source minerals are reported. This novel recipe for ZrO2-based TBCs, if optimized, may lead to better materials with lower costs and lower environmental impact, as a result of the elimination of REOs extraction and separation in individual lanthanides. Preliminary results on the compositional, microstructure, morphological, and thermal properties of the tested materials are reported.

scholarly journals Assessment of DCE Utility for PCa Diagnosis Using PI-RADS v2.1: Effects on Diagnostic Accuracy and Reproducibility

Diagnostics ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 164 ◽  
Author(s):  
Valentina Brancato ◽  
Giuseppe Di Costanzo ◽  
Luca Basso ◽  
Liberatore Tramontano ◽  
Marta Puglia ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Multiparametric Mri ◽  
Added Value ◽  
Operating Characteristics ◽  
Dce Mri ◽  
Contrast Enhanced ◽  
Mri Protocol ◽  
Controversial Topic ◽  
Clinically Significant ◽  
Method Agreement

The role of dynamic contrast-enhanced-MRI (DCE-MRI) for Prostate Imaging-Reporting and Data System (PI-RADS) scoring is a controversial topic. In this retrospective study, we aimed to measure the added value of DCE-MRI in combination with T2-weighted (T2W) and diffusion-weighted imaging (DWI) using PI-RADS v2.1, in terms of reproducibility and diagnostic accuracy, for detection of prostate cancer (PCa) and clinically significant PCa (CS-PCa, for Gleason Score ≥ 7). 117 lesions in 111 patients were identified as suspicion by multiparametric MRI (mpMRI) and addressed for biopsy. Three experienced readers independently assessed PI-RADS score, first using biparametric MRI (bpMRI, including DWI and T2W), and then multiparametric MRI (also including DCE). The inter-rater and inter-method agreement (bpMRI- vs. mpMRI-based scores) were assessed by Cohen’s kappa (κ). Receiver operating characteristics (ROC) analysis was performed to evaluate the diagnostic accuracy for PCa and CS-PCa detection among the two scores. Inter-rater agreement was excellent for the three pairs of readers (κ ≥ 0.83), while the inter-method agreement was good (κ ≥ 0.73). Areas under the ROC curve (AUC) showed similar high-values (0.8 ≤ AUC ≤ 0.85). The reproducibility of PI-RADS v2.1 scoring was comparable and high among readers, without relevant differences, depending on the MRI protocol used. The inclusion of DCE did not influence the diagnostic accuracy.

scholarly journals Computer-Assisted Classification Patterns in Autoimmune Diagnostics: The AIDA Project

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Amel Benammar Elgaaied ◽  
Donato Cascio ◽  
Salvatore Bruno ◽  
Maria Cristina Ciaccio ◽  
Marco Cipolla ◽  
...  
Keyword(s):  
Fluorescence Intensity ◽  
Gold Standard ◽  
Added Value ◽  
Computer Assisted ◽  
Computer Aided Detection ◽  
Preliminary Results ◽  
Cad System ◽  
Cross Border ◽  
Cross Border Cooperation ◽  
Better Than

Antinuclear antibodies (ANAs) are significant biomarkers in the diagnosis of autoimmune diseases in humans, done by mean of Indirect ImmunoFluorescence (IIF) method, and performed by analyzing patterns and fluorescence intensity. This paper introduces the AIDA Project (autoimmunity: diagnosis assisted by computer) developed in the framework of an Italy-Tunisia cross-border cooperation and its preliminary results. A database of interpreted IIF images is being collected through the exchange of images and double reporting and a Gold Standard database, containing around 1000 double reported images, has been settled. The Gold Standard database is used for optimization of a CAD (Computer Aided Detection) solution and for the assessment of its added value, in order to be applied along with an Immunologist as a second Reader in detection of autoantibodies. This CAD system is able to identify on IIF images the fluorescence intensity and the fluorescence pattern. Preliminary results show that CAD, used as second Reader, appeared to perform better than Junior Immunologists and hence may significantly improve their efficacy; compared with two Junior Immunologists, the CAD system showed higher Intensity Accuracy (85,5% versus 66,0% and 66,0%), higher Patterns Accuracy (79,3% versus 48,0% and 66,2%), and higher Mean Class Accuracy (79,4% versus 56,7% and 64.2%).

Added value of SPECT/CT in patients suspected of having bone infection: preliminary results

2006 ◽  
Vol 127 (3) ◽  
pp. 211-221 ◽  
Author(s):  
Marius Horger ◽  
Susanne Martina Eschmann ◽  
Christina Pfannenberg ◽  
Dieter Storek ◽  
Reinhard Vonthein ◽  
...  
Keyword(s):  
Bone Infection ◽  
Added Value ◽  
Preliminary Results

scholarly journals PD23-04 ADDED VALUE OF SYSTEMATIC BIOPSIES IN MEN WITH ABNORMAL MULTIPARAMETRIC MRI UNDERGOING MRI-TRUS FUSION PROSTATE BIOPSY

2018 ◽  
Vol 199 (4S) ◽  
Author(s):  
Yuval Freifeld ◽  
Yin Xi ◽  
Claus Roehrborn ◽  
Franto Francis ◽  
Niccolo Passoni ◽  
...  
Keyword(s):  
Prostate Biopsy ◽  
Multiparametric Mri ◽  
Added Value

Differentiation of paediatric posterior fossa tumours by the multiregional and multiparametric MRI radiomics approach: A study on the selection of optimal multiple sequences and multiregions

2021 ◽  
Author(s):  
Jie Dong ◽  
Suxiao Li ◽  
Lei Li ◽  
Shengxiang Liang ◽  
Bin Zhang ◽  
...  
Keyword(s):  
Posterior Fossa ◽  
Area Under The Curve ◽  
Tumour Volume ◽  
Multiparametric Mri ◽  
Added Value ◽  
Support Vector ◽  
Diffusion Weighted Images ◽  
Posterior Fossa Tumours ◽  
Mri Features ◽  
Mr Sequences

Objective: To evaluate the diagnostic performance of a radiomics model based on multiregional and multiparametric magnetic resonance imaging (MRI) to classify paediatric posterior fossa tumours (PPFTs), explore the contribution of different MR sequences and tumour subregions in tumour classification, and examine whether contrast-enhanced T1-weighted (T1C) images have irreplaceable added value. Methods: This retrospective study of 136 PPFTs extracted 11,958 multiregional (enhanced, non-enhanced, and total tumour) features from multiparametric MRI (T1- and T2-weighted, T1C, fluid-attenuated inversion recovery, and diffusion-weighted images). These features were subjected to fast correlation-based feature selection and classified by a support vector machine based on different tasks. Diagnostic performances of multiregional and multiparametric MRI features, different sequences, and different tumoral regions were evaluated using multiclass and one-versus-rest strategies. Results: The established model achieved an overall area under the curve (AUC) of 0.977 in the validation cohort. The performance of PPFTs significantly improved after replacing T1C with apparent diffusion coefficient maps added into the plain scan sequences (AUC from 0.812 to 0.917). When oedema features were added to contrast-enhancing tumour volume, the performance did not significantly improve. Conclusion: The radiomics model built by multiregional and multiparametric MRI features allows for the excellent distinction of different PPFTs and provides valuable references for the rational adoption of MR sequences. Advances in knowledge: This study emphasized that T1C has limited added value in predicting PPFTs and should be cautiously adopted. Selecting optimal MR sequences may help guide clinicians to better allocate acquisition sequences and reduce medical costs.

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