Publications by authors named "Y M Jeon"

Background: The prognostic significance of extranodal sites in stage IV diffuse large B-cell lymphoma (DLBCL) remains uncertain, making it challenging to select appropriate treatment strategies for individual patients. In this study, we aimed to evaluate the influence of different extranodal sites on prognosis in young patients with stage IV DLBCL who achieved complete remission (CR) following initial chemo-immunotherapy and to explore the potential of autologous hematopoietic stem cell transplantation (ASCT) as a consolidation treatment for specific patient subgroups.

Methods: We retrospectively reviewed data from 119 patients with DLBCL aged < 60 years who achieved CR after chemo-immunotherapy between 2008 and 2020.

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This study explored the impact of perches on the productivity and welfare of broilers raised on two animal welfare-certified farms (designated as Farm A and B) in South Korea. Broiler houses in each farm were provided with or without wooden square-shaped perches (2 × 2 cm) at a rate of 2 m per 1000 birds. The study aimed to assess whether perches could influence productivity measures, such as weight and uniformity, and animal welfare indicators, including corticosterone levels and physical health markers.

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Background: Intraoperative hypotension is very common during surgery and is linked to major organ dysfunction and mortality. Current perioperative blood pressure management is largely based on universal blood pressure thresholds ranging from a mean arterial pressure of 60-70 mmHg. However, the effectiveness of this conventional management remains unproven in prospective randomized trials.

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Background: Tracheostomy is performed in patients with trauma who need prolonged ventilation for respiratory failure or airway management. Although it has benefits, such as reduced sedation and easier care, it also has risks. This study explored the unclear timing, technique, and patient selection criteria for tracheostomy in patients with trauma.

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Introduction: Functional magnetic resonance imaging (fMRI) data is highly complex and high-dimensional, capturing signals from regions of interest (ROIs) with intricate correlations. Analyzing such data is particularly challenging, especially in resting-state fMRI, where patterns are less identifiable without task-specific contexts. Nonetheless, interconnections among ROIs provide essential insights into brain activity and exhibit unique characteristics across groups.

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