Objective: To assess whether CT style conversion between different CT vendors using a routable generative adversarial network (RouteGAN) could minimize variation in ILD quantification, resulting in improved functional correlation of quantitative CT (QCT) measures.
Methods: Patients with idiopathic pulmonary fibrosis (IPF) who underwent unenhanced chest CTs with vendor A and a pulmonary function test (PFT) were retrospectively evaluated. As deep-learning based ILD quantification software was mainly developed using vendor B CT, style-converted images from vendor A to B style were generated using RouteGAN.
Context.—: Fine-needle aspiration is an effective tool for sampling thyroid nodules; its results are classified according to the Bethesda System for Reporting Thyroid Cytopathology (BSRTC), whose categories define malignancy risks.
Objective.
Background: Non-communicable diseases (NCDs) are a major global health challenge and occupational status is a critical determinant influencing NCD development, yet many cross-sectional studies have only linked current occupational status with specific diseases, overlooking broader temporal factors. The primary aim of the present study was to comprehensively elucidate the intricate interplay between alterations in working status, NCDs, and physical activity (PA) among Korean middle-aged and older adults, employing a longitudinal panel study design.
Methods: This study utilized longitudinal data from the Korean Longitudinal Study of Aging, covering the period from 2006 to 2020, with a median follow-up duration of 10 years.
Osteoarthritis (OA) is a condition that affects the quality of life of millions of patients worldwide. Current clinical treatments, in most cases, lead to cartilage repair with deposition of fibrocartilage tissue, which is mechanically inferior and not as durable as hyaline cartilage tissue. We designed an mRNA delivery strategy to enhance the natural healing potential of autologous bone marrow aspirate concentrate (BMAC) for articular cartilage repair.
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