Publications by authors named "D Bendahan"

Introduction And Aims: Mitochondrial myopathies are rare genetic disorders for which no effective treatment exists. We previously showed that the pharmacological cyclophilin inhibitor cyclosporine A (CsA) extends the lifespan of fast-twitch skeletal muscle-specific mitochondrial transcription factor A knockout (Tfam KO) mice, lacking the ability to transcribe mitochondrial DNA and displaying lethal mitochondrial myopathy. Our present aim was to assess whether the positive effect of CsA was associated with improved in vivo mitochondrial energy production.

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Background: In vivo mechanical behaviour of the abdominal wall has been poorly characterised and important details are missing regarding the occurrence and post-operative recurrence rate of hernias which can be as high as 30 %. This study aimed to assess the correlation between abdominal wall displacement and intra-abdominal pressure, as well as abdominal compliance.

Methods: Eighteen healthy participants performed audio-guided passive (breathing) and active (coughing, Valsalva maneuver) exercises.

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Background And Objectives: Intramuscular fat fraction (FF), assessed using quantitative MRI (qMRI), has emerged as a promising biomarker for hereditary transthyretin amyloidosis (ATTRv) patients. Currently, the main drawbacks to its use in future therapeutic trials are its sensitivity to change over a short period of time and the time-consuming manual segmentation step to extract quantitative data. This pilot study aimed to demonstrate the suitability of an Artificial Intelligence-based (AI) segmentation technique to assess disease progression in a real-life cohort of ATTRv patients over 1 year.

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Article Synopsis
  • The study evaluated an AI-based system for automatically segmenting muscles in CMT1A patients using quantitative MRI (qMRI), aiming to streamline the assessment of intramuscular fat fraction (FF) over one year.
  • Results showed that AI segmentation accurately matched manual segmentation techniques, demonstrating significant FF progression in both thigh and leg muscles.
  • The AI approach significantly reduced analysis time from 90 hours to just 10 hours, making it a promising tool for future therapeutic trials in CMT1A research.
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The detection of a secondary inorganic phosphate (Pi) resonance, a possible marker of mitochondrial content in vivo, using phosphorus magnetic resonance spectroscopy (P-MRS), poses technical challenges at 3 Tesla (T). Overcoming these challenges is imperative for the integration of this biomarker into clinical research. To evaluate the repeatability and reliability of measuring resting skeletal muscle alkaline Pi (Pi) using with P-MRS at 3 T.

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