Publications by authors named "Brahim Mehadji"

The scope of molecular imaging can be expanded beyond pure theranostic pairs, defined as radiolabeled agents sharing the same molecular target or the same label, towards any image-guided therapy scheme regardless of the chemical relationship between the imaging and therapeutic agents.

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Long axial field-of-view PET (LAFOV) PET offers a dramatic increase not only in the area simultaneously scanned at any given time and bed position but also in sensitivity compared to conventional PET, enabling, among other benefits, streamlined whole-body dynamic and multiparametric imaging, delayed acquisitions, and accurate tracer quantification with reduced injected dose. These capabilities allow more precise and complete evaluation of tumor distribution, kinetics, and heterogeneity-essential for personalizing radiopharmaceutical therapy (RPT) for optimal safety and efficacy. Current one-protocol-fits-all RPT schemes, based on fixed activity and fixed scheduling, do not account for patient-specific biology.

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Optical Monte Carlo (MC) simulations are essential for modeling light transport in radiation detectors used in nuclear imaging and high-energy physics. However, full-system simulations remain computationally prohibitive due to the need to track optical photons across large detector arrays. To address this challenge, optiGAN, a conditional Wasserstein generative adversarial network (GAN) was developed to accelerate detailed optical simulations while maintaining high fidelity.

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Unlabelled: Accurate estimation of the Lung Shunt Fraction (LSF) is a standard of care in yttrium-90 ( Y) radioembolization treatment planning to prevent excessive lung irradiation due to arterio-venous shunting in the liver. LSF is assessed using Tc macroaggregated albumin ( Tc-MAA) imaging, but this approach adds risk, complexity, and expense to the treatment planning. This study investigates the potential of Contrast-Enhanced Computed Tomography (CECT) as a non-invasive alternative for LSF estimation.

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Total-body (TB) positron emission tomography (PET) scanners are classified by their axial field of view (FOV). Long axial field of view (LAFOV) PET scanners can capture images from eyes to thighs in a one-bed position, covering all major organs with an axial FOV of about 100 cm. However, they often miss essential areas like distal lower extremities, limiting their use beyond oncology.

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Contrast-enhanced computed tomography (CECT) is commonly used in the pre-treatment evaluation of liver Y-90 radioembolization feasibility. CECT provides detailed imaging of the liver and surrounding structures, allowing healthcare providers to assess the size, location, and characteristics of liver tumors prior to the treatment. Here we propose a method for translating CECT images to an expected dose distribution for tumor(s) and normal liver tissue.

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In vivo molecular imaging tools are crucially important for elucidating how cells move through complex biological systems; however, achieving single-cell sensitivity over the entire body remains challenging. Here, we report a highly sensitive and multiplexed approach for tracking upward of 20 single cells simultaneously in the same subject using positron emission tomography (PET). The method relies on a statistical tracking algorithm (PEPT-EM) to achieve a sensitivity of 4 becquerel per cell and a streamlined workflow to reliably label single cells with over 50 becquerel per cell of F-fluorodeoxyglucose (FDG).

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molecular imaging tools are crucially important for elucidating how cells move through complex biological systems, however, achieving single-cell sensitivity over the entire body remains challenging. Here, we report a highly sensitive and multiplexed approach for tracking upwards of 20 single cells simultaneously in the same subject using positron emission tomography (PET). The method relies on a new tracking algorithm (PEPT-EM) to push the cellular detection threshold to below 4 Bq/cell, and a streamlined workflow to reliably label single cells with over 50 Bq/cell of F-fluorodeoxyglucose (FDG).

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Built on top of the Geant4 toolkit, GATE is collaboratively developed for more than 15 years to design Monte Carlo simulations of nuclear-based imaging systems. It is, in particular, used by researchers and industrials to design, optimize, understand and create innovative emission tomography systems. In this paper, we reviewed the recent developments that have been proposed to simulate modern detectors and provide a comprehensive report on imaging systems that have been simulated and evaluated in GATE.

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One of the most-scanned joints in preclinical animal models dealing with musculoskeletal pathologies is the mouse knee. While three-dimensional (3D) characterization of bone tissue porosity have previously been performed on cortical bone, it has not yet been comprehensively performed for the subchondral bone (SB) and the calcified cartilage (CC), which compose the subchondral mineralized zone (SMZ). Thus, it remains challenging to assess changes that occur in the SMZ of the mouse knee during pathologies such as osteoarthritis.

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