Publications by authors named "T Hagio"

Traditionally, patients with rheumatic diseases, such as rheumatoid arthritis (RA), were considered off-limits for joint-sparing surgery. In the present study, we report bilateral knee joints of psoriatic arthritis coexisting with osteoarthritis, with good, albeit short-term, results. 62-year-old woman was treated for psoriatic arthritis with a biologic (adalimumab).

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Article Synopsis
  • Researchers developed a deep-learning algorithm (3D U-Net) to automate myocardial segmentation in FDG PET scans for diagnosing cardiac sarcoidosis, improving efficiency and accuracy in analysis.
  • The algorithm was trained on data from 316 patients and showed better readability and performance compared to standard automatic methods, especially in measuring left ventricle displacement and SUVmax correlation.
  • Overall, the new tool enhances the processing of FDG PET datasets, significantly reducing manual processing time while maintaining or improving output quality with minimal user intervention.
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Lymphoproliferative disorders (LPDs) are serious complications associated with rheumatoid arthritis (RA) treatment that mostly occur during methotrexate (MTX) treatment. Cessation of MTX may induce regression of LPDs but is often followed by a flare of RA. Here, we describe two patients with RA flares after the discontinuation of MTX due to LPDs and sarilumab was useful for the treatment of RA without a relapse of LPDs.

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Background: Osteochondral lesions of the talus (OLTs) are among the common sports-related injuries. However, there are few reports on the return to sports after OLT surgery in skeletally immature children. This study was performed to evaluate the return to sports after microfracture for OLTs in skeletally immature children.

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Background: Fluorodeoxyglucose positron emission tomography (FDG PET) with glycolytic metabolism suppression plays a pivotal role in diagnosing cardiac sarcoidosis. Reorientation of images to match perfusion datasets is critical and myocardial segmentation enables consistent image scaling and quantification. However, both are challenging and labor intensive.

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