Publications by authors named "T Koga"

Chronic Fatigue Syndrome (CFS) is a complex disorder characterized by prolonged, unexplained fatigue and challenging diagnosis. We report the case of a 35-year-old Japanese woman with CFS who had experienced chronic fatigue since the age of 11 years. Despite treatment with modafinil, methylphenidate, levocarnitine, and ubiquinone, the symptoms persisted.

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Objectives: This study aimed to investigate the diagnostic performance and safety of endoscopic ultrasound-guided tissue acquisition (EUS-TA) for perivascular soft-tissue cuffing (PSTC).

Methods: This single-center, retrospective study evaluated patients in whom EUS-TA was performed for PSTC in pancreatic or bile duct cancer lesions between October 2017 and March 2024. PSTC was defined as a perivascular soft-tissue area contiguous with nearby blood vessels from the suspected primary tumor.

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The new orthognathic treatment strategy of non-segmental fixation (non-fix) sagittal split ramus osteotomy (SSRO) with jaw exercise initiation on the second postoperative day, the so-called physiological positioning strategy (PPS), induces good skeletal stability with few temporomandibular joint (TMJ) symptoms after surgery in skeletal class III. This study aimed to clarify whether non-fix SSRO with modified PPS can be applied to skeletal class II. This retrospective study included skeletal class II patients who underwent non-fix SSRO to correct mandibular retrognathia.

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Objectives: Computed tomography imaging of a sublobar resection specimen may inform intraoperative surgical margin assessment. However, consistency with final pathological margins has not been previously evaluated. In this study, we investigated the concordance between surgical margin measurements by computed tomography versus pathology measurements using an ex vivo sublobar lung resection model.

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Insights gained during the coronavirus disease 2019 pandemic has underscored the critical role played by both innate and adaptive immune responses in determining the severity of diseases. This newfound understanding holds significant potential to bring about a paradigm shift in the diagnosis, treatment, and management of autoimmune conditions. Advanced technologies that are emerging in the field are expected to play a pivotal role in this transformation.

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