Publications by authors named "A Fukutomi"
Article Synopsis
- Methadone has been used in Japan since 2013 for treating severe cancer pain in patients on high doses of opioids, and this study focuses on its effectiveness as a low-dose add-on therapy (5 or 10 mg/day) in over a hundred cases.
- The analysis involved 102 patients, primarily male, averaging 62.8 years old, with most suffering from spinal or pelvic metastases, and pain often stemming from a mix of somatic and neuropathic sources.
- The introduction of low-dose methadone resulted in a significant reduction in the number of rescue doses needed for pain management, indicating its potential effectiveness, though some side effects were noted.
Objective: The aim of the present study was to investigate which treatment, neoadjuvant chemoradiotherapy (NAC-RT) with S-1 or combination neoadjuvant chemotherapy with gemcitabine and S-1 (NAC-GS), is more promising as neoadjuvant treatment (NAT) for resectable pancreatic cancer in terms of effectiveness and safety.
Methods: In the NAC-RT with S-1 group, the patients received a total radiation dose of 50.4 Gy in 28 fractions with oral S-1.
Background: The aim of this study was to assess barriers and facilitators in the pathways toward specialist care for eating disorders (EDs).
Methods: Eleven ED services located in seven European countries recruited patients with an ED. Clinicians administered an adapted version of the World Health Organization "Encounter Form," a standardized tool to assess the pathways to care.
Objective: To assess the COVID-19 vaccination rates of a severe mental illness (SMI) population in Western Australia (WA) in January to March 2022, and to evaluate an inpatient COVID-19 vaccination program available to this group.
Method: A retrospective audit of the COVID-19 vaccination status of inpatients at the Mental Health Unit (MHU) at a tertiary hospital in WA was conducted and compared with the state average. Additionally, the medical records were interrogated to determine whether eligible inpatients were offered and received COVID-19 vaccination via the inpatient vaccination program.
Objectives: To investigate the effect of deep learning image reconstruction (DLIR) on the accuracy of iodine quantification and image quality of dual-energy CT (DECT) compared to that of other reconstruction algorithms in a phantom experiment and an abdominal clinical study.
Methods: An elliptical phantom with five different iodine concentrations (1-12 mgI/mL) was imaged five times with fast-kilovoltage-switching DECT for three target volume CT dose indexes. All images were reconstructed using filtered back-projection, iterative reconstruction (two levels), and DLIR algorithms.