Publications by authors named "K C Kobashi"

Background And Purpose: Radiation-induced lymphopenia (RIL) may be associated with a worse prognosis in pancreatic cancer. This study aimed to develop a normal tissue complication probability (NTCP) model to predict severe RIL in patients with pancreatic cancer undergoing concurrent chemoradiotherapy (CCRT).

Materials And Methods: We reviewed pancreatic cancer patients treated at our facility for model training and internal validation.

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Article Synopsis
  • - Iatrogenic infertility can occur from necessary medical treatments like chemotherapy, radiation, certain surgeries, and hormone therapy, making fertility preservation (FP) crucial for patients hoping to conceive in the future.
  • - Despite increasing awareness of FP, patients face significant barriers, primarily high costs, limited access to specialists, lack of education among both providers and patients, and stigma surrounding reproductive health.
  • - Improving insurance coverage for FP, enhancing educational efforts, and leveraging new healthcare technologies can help mitigate these barriers, ultimately benefiting patients and their quality of life, with urologists playing a key role in advocacy and care.
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We herein report a case of traumatic tibial nerve defect involving the ankle joint. A 16-mm-long defect was observed in a 5-mm-diameter tibial nerve. Two 3-mm-inner-diameter PGA-collagen tubes were transferred to the bifurcated tibial nerve.

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In diverse materials science spanning from fine ceramics to lithium-ion batteries and fuel cells, the particle-binder interactions in slurries play a crucial role in governing the ultimate performance. Despite numerous efforts to date, quantitatively elucidating these hidden interactions has remained a longstanding challenge. Here, we demonstrate a dynamic approach to evaluate adsorptive interactions between ceramic particles and polymeric binders entangled in a slurry utilizing differential centrifugal sedimentation (DCS).

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Introduction: Stress urinary incontinence (SUI) affects countless women worldwide. Given ChatGPT's rising ubiquity, patients may turn to the platform for SUI advice. Our objective was to evaluate the quality of clinical information about SUI from the ChatGPT platform.

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