Publications by authors named "P R Algra"

Article Synopsis
  • This study aimed to independently validate commercial AI products for predicting bone age using hand radiographs and detecting lung nodules on chest radiographs.
  • Two AI algorithms for bone age prediction demonstrated a strong correlation with expert readers, while no significant differences in performance were found between AI and human readers.
  • Four AI algorithms for lung nodule detection outperformed human readers, indicating potential advantages of using AI in this area, while others did not show a notable difference in performance.
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Diagnostic imaging in pregnant patients often causes worries about radiation effects and IV contrast. We use a step-by-step plan to choose the right method and illustrate this with a case. First, we choose the method of imaging, non-ionizing imaging being preferred over ionizing.

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Purpose: Studies using magnetic resonance imaging to assess lumbar multifidus cross-sectional area frequently utilize T1 or T2-weighted sequences, but seldom provide the rationale for their sequence choice. However, technical considerations between their acquisition protocols could impact on the ability to assess lumbar multifidus anatomy or its fat/muscle distinction. Our objectives were to examine the concurrent validity of lumbar multifidus morphology measures of T2 compared to T1-weighted sequences, and to assess the reliability of repeated lumbar multifidus measures.

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It remains unclear to what extent patients with traumatic knee complaints aged 18-45 years seen in general practice experience difficulties with return to sports. This study aims to determine the proportion of patients with a knee trauma that return to sports at six weeks and three months follow-up. Also examined were associations between no return to sports and baseline patient/trauma characteristics, knee complaints and MR (magnetic resonance) findings, as well as the additive value of MR findings.

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This article is a summary of the revised Dutch multidisciplinary evidence-based guideline 'Spinal metastases' (English translation available at: https://www.oncoline.nl/spinal-metastases) that was published at the end of 2015.

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