Test yareta

AbstractThis is a test to show that the uploaded resources are available by anyone onlin

Test

AbstractThis is a test to show that the uploaded resources are available by anyone onlin

Computer-Aided Intra-Operatory Positioning of an MRgHIFU Applicator dedicated to Abdominal Thermal Therapy using Particle Swarm Optimization

AbstractThis document presents a novel software tool developed to optimize the positioning of a high intensity focused ultrasound transducer (HIFU) dedicated to abdominal thermal therapy

Computer-Aided Intra-Operatory Positioning

AbstractThis document presents a novel software tool developed to optimize the positioning of a high intensity focused ultrasound transducer (HIFU) dedicated to abdominal thermal therapy

Computer-Aided Intra-Operatory Positioning

AbstractThis document presents a novel software tool developed to optimize the positioning of a high intensity focused ultrasound transducer (HIFU) dedicated to abdominal thermal therapy

Computer-Aided Intra-Operatory Positioning of an MRgHIFU Applicator dedicated to Abdominal Thermal Therapy using Particle Swarm Optimization

AbstractThis document presents a novel software tool developed to optimize the positioning of a high intensity focused ultrasound transducer (HIFU) dedicated to abdominal thermal therapy

3D MR images from in vivo ablation

The deposit contains the 3D MR images from in vivo ablation of a pig liver by high-intensity focused ultrasound. The data are composed of 2 series of dicom MR images, one before the HIFU ablation, and one after the HIFU ablation

Data of liver ablation by MRgHIFU

The folder stores the temperature and MRI data collected during the MRgHIFU project for liver ablation. The folder contains the performances tests of the HIFU transducer (electronic beam forming and performances by parts) acquired on ex vivo samples of tissue mimicking gels, and data of in vivo ablation of pig livers

Humanlectome, an update of unilectin for the annotation and prediction of human lectins

The UniLectin portal (https://unilectin.unige.ch/) was designed in 2019 with the goal of centralising curated and predicted data on carbohydrate-binding proteins known as lectins. UniLectin is also intended as a support for the study of lectomes (full lectin set) of organisms or tissues. The present update describes the inclusion of several new modules and details the latest (https://unilectin.unige.ch/humanLectome/), covering our knowledge of the human lectome and comprising 215 unevenly characterised lectins, particularly in terms of structural information. Each HumanLectome entry is protein-centric and compiles evidence of carbohydrate recognition domain(s), specificity, 3D-structure, tissue-based expression and related genomic data. Other recent improvements regarding interoperability and accessibility are outlined

Diffusion-Weighted Imaging to Assess HPV-Positive versus HPV-Negative Oropharyngeal Squamous Cell Carcinoma: The Importance of b-Values

BACKGROUND AND PURPOSE: Controversy exists as to whether ADC histograms are capable to distinguish human papillomavirus-positive (HPV+) from human papillomavirus-negative (HPV-) oropharyngeal squamous cell carcinoma. We investigated how the choice of b-values influences the capability of ADC histograms to distinguish between the two tumor types. MATERIALS AND METHODS: Thirty-four consecutive patients with histologically proved primary oropharyngeal squamous cell carcinoma (11 HPV+ and 23 HPV-) underwent 3T MR imaging with a single-shot EPI DWI sequence with 6 b-values (0, 50, 100, 500, 750, 1000 s/mm2). Monoexponentially calculated perfusion-sensitive (includingb=0 s/mm2) and perfusion-insensitive/true diffusion ADC maps (with b ≥ 100 s/mm2as the lowest b-value) were generated using Matlab. The choice of b-values included 2 b-values (ADCb0-1000, ADCb100-1000, ADCb500-1000, ADCb750-1000) and 3-6 b-values (ADCb0-750-1000, ADCb0-500-750-1000, ADCb0-50-100-1000, ADCb0-50-100-750-1000, ADCb0-50-100-500-750-1000). Readers blinded to the HPV- status contoured all tumors. ROIs were then copied onto ADC maps, and their histograms were compared. RESULTS: ADC histogram metrics in HPV+ and HPV- oropharyngeal squamous cell carcinoma changed significantly depending on the b-values. The mean ADC was lower, and skewness was higher in HPV+ than in HPV- oropharyngeal squamous cell carcinoma only for ADCb0-1000,ADCb0-750-1000, and ADCb0-500-750-1000(P&lt; .05), allowing distinction between the 2 tumor types. Kurtosis was significantly higher in HPV+ versus HPV- oropharyngeal squamous cell carcinoma for all b-value combinations except 2 perfusion-insensitive maps (ADCb500-1000and ADCb750-1000). Among all b-value combinations, kurtosis on ADCb0-1000had the highest diagnostic performance to distinguish HPV+ from HPV- oropharyngeal squamous cell carcinoma (area under the curve = 0.893; sensitivity = 100%, specificity = 82.6%). Acquiring multiple b-values for ADC calculation did not improve the distinction between HPV+ and HPV- oropharyngeal squamous cell carcinoma. CONCLUSIONS: The choice of b-values significantly affects ADC histogram metrics in oropharyngeal squamous cell carcinoma. Distinguishing HPV+ from HPV- oropharyngeal squamous cell carcinoma is best possible on the ADCb0-1000map.</p