Cooperative multi-task learning and interpretable image biomarkers for glioma grading and molecular subtyping.

Deep learning methods have been widely used for various glioma predictions. However, they are usually task-specific, segmentation-dependent and lack of interpretable biomarkers. How to accurately predict the glioma histological grade and molecular subtypes at the same time and provide reliable imaging biomarkers is still challenging.

Novel MRI-based Hyper-Fused Radiomics for Predicting Pathologic Complete Response to Neoadjuvant Therapy in Breast Cancer.

Rationale And Objectives: To propose a novel MRI-based hyper-fused radiomic approach to predict pathologic complete response (pCR) to neoadjuvant therapy (NAT) in breast cancer (BC).

Materials And Methods: Pretreatment dynamic contrast-enhanced (DCE) MRI and ultra-multi-b-value (UMB) diffusion-weighted imaging (DWI) data were acquired in BC patients who received NAT followed by surgery at two centers. Hyper-fused radiomic features (RFs) and conventional RFs were extracted from DCE-MRI or UMB-DWI.

Safety of baricitinib in vaccinated patients with severe and critical COVID-19 sub study of the randomised Bari-SolidAct trial.

Background: The Bari-SolidAct randomized controlled trial compared baricitinib with placebo in patients with severe COVID-19. A post hoc analysis revealed a higher incidence of serious adverse events (SAEs) among SARS-CoV-2-vaccinated participants who had received baricitinib. This sub-study aimed to investigate whether vaccination influences the safety profile of baricitinib in patients with severe COVID-19.

Epicardial Fat Volume Assessed by MRI in Adolescents: Associations with Obesity and Cardiovascular Risk Factors.

: In adults, epicardial adipose tissue (EAT) is associated with metabolic syndrome (MS) and coronary artery disease. EAT thickness is increased in obese youth, but total EAT volume and its correlation with cardiovascular risk factors have not been studied. : To determine EAT volume in adolescents and its association with obesity and cardiovascular risk factors.

Relationship Between the Pain Intensity at the Time of the Hamstring Muscle Injury and the Hyperintense T2 Weighted Volume of the Hamstring Muscle Lesion Measured by MRI.

Objectives: The primary objective of this study was to analyze the correlation between the pain experienced at the time of a hamstring muscle injury and the hyperintense T2 weighted volume of the lesion measured on MRI. The secondary objectives were to analyze the differences in this pain with the lesion grade and the hamstring muscle head involved.

Design: We performed a retrospective analysis of the data collected in a prospective, multicenter, noninterventional cohort study (HAMMER).

Guidelines for cerebrovascular segmentation: Managing imperfect annotations in the context of semi-supervised learning.

Segmentation in medical imaging is an essential and often preliminary task in the image processing chain, driving numerous efforts towards the design of robust segmentation algorithms. Supervised learning methods achieve excellent performances when fed with a sufficient amount of labeled data. However, such labels are typically highly time-consuming, error-prone and expensive to produce.

Microstructural Characteristics of Cervical Spinal Cord Using High Angular Resolution Diffusion Imaging (HARDI) and Tractography in Healthy Subjects.

Purpose: This study aimed to characterize spinal cord microstructure in healthy subjects using high angular resolution diffusion imaging (HARDI) and tractography.

Methods: Forty-nine healthy subjects (18-50 years, divided into 2 age groups) were included in a prospective study. HARDI of the cervical spinal cord were acquired using a 3T MRI scanner with: 64 directions, b‑value: 1000s/mm, reduced field-of-view (zonally magnified oblique multi-slice), and opposed phase-encoding directions.

Globalization of clinical trials in oncology: a worldwide quantitative analysis.

Background: Over the past two decades, the globalization of oncology clinical trials has expanded, yet significant disparities persist across countries. This study aimed to evaluate these geographical inequalities, the evolution of trial phases, and the adherence to ethical standards according to the World Bank's income group.

Materials And Methods: The ClinicalTrials.

Uterine artery projection relative to anatomical bony landmarks in CT-angiographies.

Purpose: The aim was to find bony landmarks of the pelvis for the origins and routes of uterine arteries, hoping to improve speed and safety of embolization procedures (leiomyoma, post-partum bleedings…).

Methods: We carried out a study based on the analysis of CT-angiographies in arterial phases of whole-body scans. Two measurements were done per artery, one from the origin of uterine arteries to a first perpendicular line passing through the lowest part of the sacroiliac joint, another one from the beginning of the parametrial segment from a second parallel line passing by the acetabular roof.

Ultra-high-resolution 40 keV virtual monoenergetic imaging using spectral photon-counting CT in high-risk patients for coronary stenoses.

Objectives: To assess the image quality of ultra-high-resolution (UHR) virtual monoenergetic images (VMIs) at 40 keV compared to 70 keV, using spectral photon-counting CT (SPCCT) and dual-layer dual-energy CT (DECT) for coronary computed tomography angiography (CCTA).

Methods And Materials: In this prospective IRB-approved study, 26 high-risk patients were included. CCTA was performed both with an SPCCT in UHR mode and with one of two DECT scanners (iQOn or CT7500) within 3 days.

Topology aware multitask cascaded U-Net for cerebrovascular segmentation.

Cerebrovascular segmentation is a crucial preliminary task for many computer-aided diagnosis tools dealing with cerebrovascular pathologies. Over the last years, deep learning based methods have been widely applied to this task. However, classic deep learning approaches struggle to capture the complex geometry and specific topology of cerebrovascular networks, which is of the utmost importance in many applications.

MRI management of NMOSD and MOGAD: Proposals from the French Expert Group NOMADMUS.

Background: Currently, there are no available recommendations or guidelines on how to perform MRI monitoring in the management of neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). The issue is to determine a valuable MRI monitoring protocol to be applied in the management of NMOSD and MOGAD, as previously proposed for the monitoring of multiple sclerosis.

Objectives: The objectives of this work are to establish proposals for a standardized and feasible MRI acquisition protocol, and to propose control time points for systematic MRI monitoring in the management of NMOSD and MOGAD.

Digital instrument simulator to optimize the development of hyperspectral systems: application for intraoperative functional brain mapping.

Significance: Intraoperative optical imaging is a localization technique for the functional areas of the human brain cortex during neurosurgical procedures. These areas can be assessed by monitoring cerebral hemodynamics and metabolism. Robust quantification of these biomarkers is complicated to perform during neurosurgery due to the critical context of the operating room.

Device Design and Advanced Computed Tomography of 3D Printed Radiopaque Composite Scaffolds and Meniscus.

3D printed biomaterial implants are revolutionizing personalized medicine for tissue repair, especially in orthopedics. In this study, a radiopaque bismuth oxide (BiO) doped polycaprolactone (PCL) composite is developed and implemented to enable the use of diagnostic X-ray technologies, especially spectral photon counting X-ray computed tomography (SPCCT), for comprehensive tissue engineering scaffold (TES) monitoring. PCL filament with homogeneous BiO nanoparticle (NP) dispersion (0.

Bimodal PET/MRI generative reconstruction based on VAE architectures.

In this study, we explore positron emission tomography (PET)/magnetic resonance imaging (MRI) joint reconstruction within a deep learning framework, introducing a novel synergistic method.We propose a new approach based on a variational autoencoder (VAE) constraint combined with the alternating direction method of multipliers (ADMM) optimization technique. We explore three VAE architectures, joint VAE, product of experts-VAE and multimodal JS divergence (MMJSD), to determine the optimal latent representation for the two modalities.

Refractive outcomes for secondary sutureless posterior chamber lens implantation: sutureless scleral fixating lens Carlevale® versus retropupillary iris-claw lens Artisan®.

Purpose: To compare refractive outcomes of the foldable intraocular lens sutureless scleral fixated sutureless (Carlevale® FIL-SSF) with the iris-claw lens (Artisan®).

Methods: This retrospective study included consecutive patients who underwent a FIL-SSF implantation or an iris-claw implantation between January 2020 and November 2022 in the ophthalmology departments of Hospices Civils de Lyon (France).

Results: A total of 271 eyes from 265 patients were included: 96 eyes in the FIL-SSF group and 175 eyes in the iris-claw group.

Prognostic value of neutrophil to lymphocyte ratio and lymphocyte counts before durvalumab consolidation after radio-chemotherapy in locally advanced non-small cell lung cancer.

Background: Durvalumab, an anti-PD-L1 immune checkpoint inhibitor, after radio-chemotherapy (RCT) has changed the management of locally advanced non-small cell lung cancer (LA NSCLC). A series of retrospective studies have investigated different cut-off of lymphocyte count (LyC) and neutrophil-to-lymphocyte ratio (NLR) to predict survival in LA NSCLC. None of these studies has validated their threshold in an independent group of patients.

Reconstruction of blood flow velocity with deep learning information fusion from spectral ct projections and vessel geometry.

In this work, we investigate a new deep learning reconstruction method of blood flow velocity within deformed vessels from contrast enhanced X-ray projections and vessel geometry. The principle of the method is to perform linear or nonlinear dimension reductions on the Radon projections and on the mesh of the vessel. These low dimensional projections are then fused to obtain the velocity field in the vessel.

Feasibility of Percutaneous Radiofrequency Ablation for Abdominal Wall Endometriosis: A Prospective Pilot Study.

Study Objective: To assess the feasibility of percutaneous radiofrequency ablation (PRFA) of anterior abdominal wall endometriosis (AWE) lesions and to describe its efficacy on clinical symptoms and on the volume of the lesion.

Design: Interventional, prospective, noncomparative, phase 1 clinical trial.

Setting: Patients consulting at the multidisciplinary endometriosis expert center at Croix Rousse University Hospital (Hospices Civils de Lyon).

Comparing Different Methods for the Diagnosis of Liver Steatosis: What Are the Best Diagnostic Tools?

Background: Due to the ongoing organ shortage, marginal grafts with steatosis are more frequently used in liver transplantation, leading to higher occurrences of graft dysfunction. A histological analysis is the gold standard for the quantification of liver steatosis (LS), but has its drawbacks: it is an invasive method that varies from one pathologist to another and is not available in every hospital at the time of organ procurement. This study aimed to compare non-invasive diagnostic tools to a histological analysis for the quantification of liver steatosis.

360° CZT-SPECT/CT cameras: Tc- and Lu-phantom-based evaluation under clinical conditions.

Purpose: For the first time, three currently available 360° CZT-SPECT/CT cameras were compared under clinical conditions using phantom-based measurements.

Methods: A Tc- and a Lu-customized NEMA IEC body phantom were imaged with three different cameras, StarGuide (GE Healthcare), VERITON-CT versions 200 (V200) and 400 (V400) (Spectrum Dynamics Medical) under the same clinical conditions. Energy resolution and volumetric sensitivity were evaluated from energy spectra.