Publications by authors named "M Uto"

Article Synopsis
  • Radiation therapy is the standard treatment for localized gastric MALT lymphoma, and the study evaluated the use of the ETHOS system for adaptive radiation therapy (oART) guided by cone beam computed tomography (CBCT).
  • A retrospective analysis was conducted on 3 male patients, comparing different treatment plans (reference, scheduled, and adapted) to assess dose coverage and treatment times.
  • Results showed that oART using adapted plans improved dose coverage for the target volumes and reduced radiation exposure to nearby organs, indicating better treatment precision for gastric MALT lymphoma.
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Objective structured clinical examinations (OSCEs) are a widely used performance assessment for medical and dental students. A common limitation of OSCEs is that the evaluation results depend on the characteristics of raters and a scoring rubric. To overcome this limitation, item response theory (IRT) models such as the many-facet Rasch model have been proposed to estimate examinee abilities while taking into account the characteristics of raters and evaluation items in a rubric.

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For essay-writing tests, challenges arise when scores assigned to essays are influenced by the characteristics of raters, such as rater severity and consistency. Item response theory (IRT) models incorporating rater parameters have been developed to tackle this issue, exemplified by the many-facet Rasch models. These IRT models enable the estimation of examinees' abilities while accounting for the impact of rater characteristics, thereby enhancing the accuracy of ability measurement.

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Background: Spinal cord diffuse midline glioma (DMG) is a relatively rare disease with a poor prognosis and no effective treatment.

Observations: A 45-year-old man presented with rapidly progressive paraplegia in both lower extremities, along with bladder and bowel disturbance. Spinal magnetic resonance imaging (MRI) showed a heterogeneously contrast-enhanced mass at the T1-4 levels.

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Article Synopsis
  • The Lung-mol graded prognostic assessment (GPA) system is used to predict survival in patients with brain metastases from non-small cell lung cancer (NSCLC), and this study aimed to validate its effectiveness using real patient data.
  • A total of 339 NSCLC patients who received radiotherapy for brain metastases were analyzed, focusing on factors like age, performance status, and tumor type to see how well the Lung-molGPA scores predicted their survival.
  • Results showed that most factors in the Lung-molGPA were linked to survival, with good predictive ability for both adenocarcinoma and non-adenocarcinoma patients, confirming its utility in assessing prognosis during radiotherapy.
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