Development and Validation of the Participation Questionnaire for Preschoolers with Autism Spectrum Disorder: Structural Validity, Internal Consistency, and Construct Validity.

Aim: This study aimed to develop the Participation Questionnaire for Preschoolers (PQP) and validate its psychometric properties as a disability-specific tool designed to assess participation in preschool-aged children with autism spectrum disorder (ASD).

Methods: This cross-sectional study recruited caregivers of 412 children, including those diagnosed with ASD and those at risk for neurodevelopmental disorders. Participants were recruited from child development facilities, medical institutions, and developmental support websites across Japan.

The effect of subjective postural vertical on forward flexed posture in Parkinson's disease.

Background: We developed a novel method to measure the angle of subjective postural vertical (SPV) and showed that the SPV may be related to the exacerbation of the forward flexed posture.

Objectives: The present study prospectively tested the effects of the subjective postural vertical on the exacerbation of the forward flexion of trunk (FFT) through long-term observation of Parkinson's disease patients.

Methods: Evaluation of the posture included measuring FFT, the angle of lateral flexion of trunk, and the angle at the position that the patient subjectively perceived as the vertical position at a stationary upright position immediately after standing up at the time of initial observation, 6 months later, and 1 year later.

Participation Questionnaire for Preschoolers With Autism Spectrum Disorder: Item Development.

Occupational therapists need to comprehensively assess the participation of children with autism spectrum disorder (ASD) in daily activities and evaluate the effectiveness of relevant interventions. Several participation measurement tools have been developed for children with ASD, but these tools require expert involvement, which is a barrier to large-scale surveys. To address these concerns, a caregiver-administered questionnaire-the Participation Questionnaire for Preschoolers (PQP)-was developed.

Transition-zone PSA-density calculated from MRI deep learning prostate zonal segmentation model for prediction of clinically significant prostate cancer.

Purpose: To develop a deep learning (DL) zonal segmentation model of prostate MR from T2-weighted images and evaluate TZ-PSAD for prediction of the presence of csPCa (Gleason score of 7 or higher) compared to PSAD.

Methods: 1020 patients with a prostate MRI were randomly selected to develop a DL zonal segmentation model. Test dataset included 20 cases in which 2 radiologists manually segmented both the peripheral zone (PZ) and TZ.