Publications by authors named "Gregory Lenczner"

The purpose of the study was to assess the performance of readers in diagnosing thoracic anomalies on standard chest radiographs (CXRs) with and without a deep-learning-based AI tool (Rayvolve) and to evaluate the standalone performance of Rayvolve in detecting thoracic pathologies on CXRs. This retrospective multicentric study was conducted in two phases. In phase 1, nine readers independently reviewed 900 CXRs from imaging group A and identified thoracic abnormalities with and without AI assistance.

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Background: Sarcopenia has emerged as an important parameter to predict outcomes and treatment toxicity. However, limited data are available to assess sarcopenia prevalence in metastatic breast cancer and to evaluate its management.

Methods: The SCAN study was a cross-sectional multicenter French study that aimed to estimate sarcopenia prevalence in a real-life sample of metastatic cancer patients.

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Objectives: To assess the prevalence of spinal inflammation on MRI in patients with chronic back pain (CBP) of maximally 3 years duration and to evaluate the yield of adding a positive MRI-spine as imaging criterion to the Assessment of SpondyloArthritis international Society (ASAS) classification criteria for axial spondyloarthritis (axSpA).

Methods: Baseline imaging of the sacroiliac joints (X-SI), MRI of the sacroiliac joints (MRI-SI) and MRI-spine were scored by ≥2 experienced central readers per modality in the SPondyloArthritis Caught Early (SPACE) and DEvenir des Spondylarthropathies Indifférenciées Récentes (DESIR) cohorts. Inflammation suggestive of axSpA was assessed in the entire spine.

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Article Synopsis
  • The study aimed to see how reliable local doctors are at identifying specific changes in MRI scans of patients with back pain suggestive of a condition called axial spondyloarthritis.
  • It involved comparing the results from local readers with those of trained experts to see if they agreed on the findings.
  • The results showed that the agreement between local and expert readings was mostly fair, but got better when certain types of lesions were considered.
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Article Synopsis
  • The study looks at how MRI scans of the sacroiliac joints can help in diagnosing a type of arthritis called axial SpondyloArthritis (axSpA).
  • The researchers tested different ways to use MRI results alongside or instead of traditional X-ray methods to see if they improve the diagnosis.
  • They found that MRI can be reliable for diagnosis, but changing from X-rays to MRI might not affect most patients' classifications for axSpA.
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Objective: Investigating changes in patient classification (ASAS (Assessment of SpondyloArthritis international Society) axSpA criteria) based on evaluation of images of the sacro-iliac joints (MRI-SI and X-SI) by local and central readers.

Methods: The DESIR cohort included patients with inflammatory back pain (IBP; ≥3 months, but <3 years), suggestive of axSpA. Local radiologists/rheumatologists (local-reading) and two central readers (central-reading) evaluated baseline images.

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Objective: To investigate the degree of agreement between local rheumatologists/radiologists and central trained readers (external standard) on the presence/absence of sacroiliitis on radiographs of the sacroiliac (SI) joints.

Methods: Patients with inflammatory back pain (duration ≥3 months but <3 years) suggestive of axial spondyloarthritis (SpA) were included in the Devenir des Spondylarthropathies Indifferérenciées Récentes (DESIR) cohort. Baseline radiographs of the SI joints were interpreted by 2 central readers (modified New York criteria); cases of disagreement were adjudicated by a third reader, yielding a positive or a negative result (central reading).

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Objective: To evaluate a diffusion-weighted (DW) black blood MR sequence for the detection of myocardium signal abnormalities in patients with recent myocardial infarction (MI).

Methods: A DW black blood EPI sequence was acquired at 1.5 T in 12 patients with recent MI.

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