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Related publications (29)

Combined deletion of Glut1 and Glut3 impairs lung adenocarcinoma growth

Rolf Gruetter, Anders Meibom, Graham Knott, Bernard Lanz, Stéphane Laurent Escrig, Nadine Fournier, Mario Gaetano Lepore, Etienne Meylan, Louise Helene Soegaard Jensen, Caroline Anne-Lyse Contat, Inti Zlobec, Justine Pascual, Pierre-Benoit Bernard Ancey, Silvia Sabatino, Anouk Rossier

Glucose utilization increases in tumors, a metabolic process that is observed clinically by F-18-fluorodeoxyglucose positron emission tomography (F-18-FDG-PET). However, is increased glucose uptake important for tumor cells, and which transporters are impl ...

2020

Roadmap toward the 10 ps time-of-flight PET challenge

Edoardo Charbon, Mathieu Benoit, Christian Morel, Joao Varela

Since the seventies, positron emission tomography (PET) has become an invaluable medical molecular imaging modality with an unprecedented sensitivity at the picomolar level, especially for cancer diagnosis and the monitoring of its response to therapy. Mor ...

IOP PUBLISHING LTD2020

Model-informed machine learning for multi-component T2 relaxometry

Jean-Philippe Thiran, Meritxell Bach Cuadra, Tobias Kober, Tom Hilbert, Erick Jorge Canales Rodriguez, Elda Fischi Gomez, Gian Franco Piredda, Thomas Yu, Cristina Granziera, Muhamed Barakovic, Marco Pizzolato

Recovering the distribution from multi-echo magnetic resonance (MR) signals is challenging but has high potential as it provides biomarkers characterizing the tissue micro-structure, such as the myelin water fraction (MWF). In this work, we propose to comb ...

2020

Fostering computational thinking through educational robotics: a model for creative computational problem solving

Francesco Mondada, Christian Giang, Alberto Piatti, Morgane Solène Denise Chevalier

Background: Educational robotics (ER) is increasingly used in classrooms to implement activities aimed at fostering the development of students’ computational thinking (CT) skills. Though previous works have proposed different models and frameworks to desc ...

2020

The use of texture-based radiomics CT analysis to predict outcomes in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy

Adrien Raphaël Depeursinge, Pierre Starkov

Objective: Stereotactic ablative radiotherapy (SABR) is being increasingly used as a non-invasive treatment for early-stage non-small cell lung cancer (NSCLC). A non-invasive method to estimate treatment outcomes in these patients would be valuable, especi ...

BRITISH INST RADIOLOGY2019

PET-based prognostic survival model after radiotherapy for head and neck cancer

Adrien Raphaël Depeursinge, Xiaolu Sun, Xin Sun

PurposeThe aims of this multicentre retrospective study of locally advanced head and neck cancer (LAHNC) treated with definitive radiotherapy were to (1) identify positron emission tomography (PET)-F-18-fluorodeoxyglucose (F-18-FDG) parameters correlated w ...

SPRINGER2019

Extra-axonal restricted diffusion as an in-vivo marker of reactive microglia

Gaëtan Olivier D Rensonnet, Anne des Rieux, Benoît Macq

Reactive microgliosis is an important pathological component of neuroinflammation and has been implicated in a wide range of brain diseases including brain tumors, multiple sclerosis, Parkinson's disease, Alzheimer's disease, and schizophrenia. Mapping rea ...

Nature Research2019

Synchrotron MicroCT Reveals the Potential of the Dual Contrast Technique for Quantitative Assessment of Human Articular Cartilage Composition

Goran Lovric

Dual contrast micro computed tomography (CT) shows potential for detecting articular cartilage degeneration. However, the performance of conventional CT systems is limited by beam hardening, low image resolution (full-body CT), and long acquisition times ( ...

2020

Plug-and-play TOF-PET Module Readout Based on TDC-on-FPGA and Gigabit Optical Fiber Network

Edoardo Charbon, Esteban Venialgo Araujo

Positron Emission Tomography (PET) scanner technology requires the use of a large number of PET detector modules that work in a parallel and synchronous manner. Moreover, system modularity is a desirable feature, that enables technology reutilization for d ...

IEEE2019

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