Objectives: This study aimed to measure the volume of the third cervical vertebra using head and neck multi-detector computed tomography (MDCT) and establish a sex determination model based on sex differences in volume.
Methods: Head and neck CT images of 85 patients were obtained for dental diagnostic and therapeutic purposes. Digital Imaging and Communications in Medicine (DICOM) data obtained from head and neck CT were constructed using a three-dimensional image analysis software.
The objective of this study was to reveal the effectiveness of repetitive transcranial magnetic stimulation (rTMS) for Japanese patients with treatment-resistant depression (TRD) in clinical practice, based on real-world data from a nationwide multicenter observational study in Japan. Clinical data of patients with TRD treated with rTMS (NeuroStar TMS treatment system) under public insurance coverage were retrospectively collected from 21 institutes nationwide between June 2019 and December 2023. Depression severity was assessed by the 17-item Hamilton Depression Rating Scale (HAMD-17).
View Article and Find Full Text PDFAim: This study aimed to elucidate the effects of repetitive transcranial magnetic stimulation (rTMS) on weight, body mass index (BMI), and lipid metabolism in patients with treatment-resistant depression (TRD).
Methods: This retrospective observational study included patients with TRD who received rTMS treatment at the Jikei University Hospital from September 2018 to August 2021. The patients were diagnosed based on the DSM-5 and ICD-10 criteria and treated using the NeuroStar TMS System.
Background: To identify risk factors for mental distress and investigate whether the factors were different between men and women during the coronavirus disease 2019 (COVID-19), using KOKOROBO data, which is an online platform that aims to facilitate access to mental health services.
Methods: We used baseline data on KOKOROBO users 13 years of age or older in Japan who accessed it from October 11, 2021, to April 6, 2023, excluding those receiving treatment for mental health problems. Global severity, based on the most severe measure on Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Insomnia Severity Index (ISI), was analyzed using multivariable logistic regression with baseline characteristics for each gender, and for under 30 and 30 years of age or older in women.