Mccullochhassing4610

003) were observed. No significant difference in the caloric test was found between the two groups.

Disappearance or impairment of VEMPs could be observed in patients with severe OSA, and reflects different degrees of impairment in the utricle and saccule.

Disappearance or impairment of VEMPs could be observed in patients with severe OSA, and reflects different degrees of impairment in the utricle and saccule.Purpose This study investigated the effects of enhanced milieu teaching (EMT) on caregiver implementation of language support strategies and child communication skills using a hybrid telepractice service delivery model. Method Four caregivers and children with language delays aged 18-27 months participated in a multiple baseline across behaviors single-case research design. The therapist provided EMT to each caregiver-child dyad using a hybrid telepractice service delivery model with approximately 40% in-person and 60% telepractice sessions. Caregivers were taught to use five EMT language support strategies matched turns, target talk, expansions, time delays, and milieu teaching episodes. Caregiver instruction followed the Teach-Model-Coach-Review approach. Caregiver outcomes were two measures of EMT implementation fidelity, accuracy, and frequency of EMT strategy use. Accuracy was measured by the percentage of spoken turns in which caregivers used each strategy correctly. Frequency was measured by the number of spoken turns in which caregivers used each strategy correctly. Child outcomes were number of communication acts, weighted count of communication acts, and number of different words. Results There was a functional relation between the intervention and the accuracy of EMT strategy use for all four dyads, and the frequency of strategy use for three dyads. PF-06873600 clinical trial Caregiver use of EMT strategies maintained for 6 weeks post-intervention. After caregivers learned EMT strategies, gradual increases in the number of communication acts, weighted count of communication acts, and number of different words occurred for three children. Conclusion Results demonstrate the preliminary efficacy of using a hybrid telepractice service delivery model to teach caregivers EMT language support strategies. Supplemental Material https//doi.org/10.23641/asha.14977605.

To develop and validate a noninvasive MRI-based radiomics signature for distinguishing between indolent and aggressive prostate cancer (PCa) prior to therapy.

In all, 139 qualified and pathology-confirmed PCa patients were divided into a training set (

= 93) and a validation set (

= 46). A total of 1576 radiomics features were extracted from the T

WI (

= 788) and DWI (

= 788) for each patient. The Select K Best and the least absolute shrinkage and selection operator (LASSO) regression algorithm were used to construct a radiomics signature in the training set. The predictive performance of the radiomics signature was assessed in the training set and then validated in the validation set by receiver operating characteristic (ROC) curve analysis. We computed the calibration curve and the decision curve to evaluate the calibration and clinical usefulness of the signature.

nine radiomics features were identified to form the radiomics signature. The radiomics score (Rad-score) was significantly different between indolent and aggressive PCa (

< 0.001). The radiomics signature exhibited favorable discrimination between the indolent and aggressive PCa groups in the training set (AUC 0.853, 95% CI 0.766 to 0.941) and validation set (AUC 0.901, 95% CI 0.793 to 1.000). The decision curve analysis showed that a greater net benefit would be obtained when the threshold probability ranged from 20 to 90%.

The multiparametric MRI-based radiomics signature can potentially serve as a noninvasive tool for distinguishing between indolent and aggressive PCa prior to therapy.

The multiparametric MRI-based radiomics signature has the potential to noninvasively distinguish between the indolent and aggressive PCa, which might aid clinicians in making personalized therapeutic decisions.

The multiparametric MRI-based radiomics signature has the potential to noninvasively distinguish between the indolent and aggressive PCa, which might aid clinicians in making personalized therapeutic decisions.Endometrioid endometrial cancer (EEC) is the most common gynecologic malignancy worldwide. One in four cases will be diagnosed before menopause. Endometrial atypical hyperplasia (EAH) is a precursor of endometrial cancer and tends to occur at a young age. Those who have early stage, grade 1 EEC or EAH and wish to preserve their fertility can be managed with hormonal therapy. Hysteroscopic treatment in addition to progestin therapy has been used more commonly in the last decade. Herein, a review of available data on hysteroscopic treatment in EEC and EAH is presented.

Target volume delineation (TVD) has been identified as a weakness in the accuracy of radiotherapy, both within and outside of clinical trials due to the intra/interobserver variations affecting the TVD quality. Sources of variations such as poor compliance or protocol violation may have adverse effect on treatment outcomes. In this paper, we present and describe the FIELD

software developed for the ARENA project to improve the quality of TVD through qualitative and quantitative feedbacks and individual and personalized summary of trainee"s performance.

For each site-specific clinical case included in the FIELD

software, reference volumes, minimum and maximum "acceptable" volumes and organ at risk were derived by outlines of consultants and senior trainees. The software components currently developed include (a) user-friendly importing interface (b) analysis toolbox to compute quantitative and qualitative (c) visualiser and (d) structured report generator for personalised feedback. The FIELD

softwaree to use software aiming at supporting education in TVD and ongoing continuous professional development. The software provides quantitative/qualitative feedback and an exportable report with an individual and personalised summary of trainee's performance.

FIELDRT is a new easy and free to use software aiming at supporting education in TVD and ongoing continuous professional development. The software provides quantitative/qualitative feedback and an exportable report with an individual and personalised summary of trainee's performance.As an effective measure to manage the Coronavirus disease 2019 (COVID-19) pandemic, the acceptance of the COVID-19 vaccine and understanding the influencing factors of vaccination intention is particularly important. This study aimed to describe the COVID-19 vaccination intention among three different occupational risk groups and identify influencing factors of vaccination intention since a COVID-19 vaccine is available in China. A cross-sectional questionnaire survey was conducted from January 10 to February 5, 2021 in Hangzhou city of Zhejiang Province, an eastern coastal province in China. The intention to accept COVID-19 vaccination and health beliefs based on the Health Belief Model were collected. Of the participants, college students reported the lowest COVID-19 vaccination intention (64.6%), followed by public transportation workers (72.4%) and health care workers (79.9%). Perceived barriers were identified as negative factors of vaccination intention among all three occupational groups. For college students and public transportation workers, perceived benefits and cues to action were identified as protective factors, and cues to action had a positive effect on vaccination intention of health care workers. Tailored interventions are encouraged to reduce barriers of vaccination, improve health beliefs and promote COVID-19 vaccination intentions.Foodbot Factory is a serious game developed to teach children about the 2019 Canada's Food Guide (CFG) healthy eating principles. Because no measurement tools existed to assess changes in children's knowledge of the CFG, the Nutrition Attitudes and Knowledge (NAK) questionnaire was developed for this purpose. The NAK is based on the 2019 CFG nutrition content and aligned with the Foodbot Factory modules (Drinks, Whole Grain foods, Vegetables and Fruit, Protein foods). Seven experts assessed face and content validity of the draft NAK questionnaire. Three sections were deemed valid, while the remaining two required minor revisions. The NAK was pilot tested for changes in nutrition attitudes and knowledge among children 9-10 years-old (n=23), who answered the NAK questionnaire before and after using Foodbot Factory. Significant increases were found in overall nutrition knowledge, and knowledge of Whole Grain foods, Vegetables and Fruit and Protein foods. Knowledge of Drinks and nutrition attitudes remained unchanged. The NAK showed a moderate reliability when tested among a group of children (n=23). While the NAK questionnaire is a promising tool for assessing changes nutrition knowledge related to the 2019 CFG guidelines in children, further research is required to test construct validity of this instrument. Novelty bullets • The Nutrition Attitudes and Knowledge (NAK) questionnaire was developed by educators and dietitians. • The NAK underwent face and content validity assessments and was pilot tested among children. • The NAK questionnaire is a potential tool to detect changes in children's knowledge of the 2019 Canada's Food Guide.

To compare artefacts in cone-beam computed tomography (CBCT) arising from implants of different materials located either inside the field of view (FOV) or in the exomass, and to test different image-acquisition parameters to reduce them.

CBCT scans of a human mandible prepared with either a titanium, titanium-zirconium, or zirconia implant were acquired with the Planmeca ProMax utilizing FOV sizes of 8 × 5 cm and 4 × 5 cm, which placed the implant inside the FOV (8 × 5 cm) or in the exomass (4 × 5 cm). The scanning parameters considered three conditions of metal artefact reduction (MAR), disabled, low, and high, and 2 kVp levels (80 and 90). The standard deviation (SD) of grey values of regions of interest was obtained. The effects of implant material, implant position, MAR condition, kVp level, and their interactions were evaluated by Analysis of Variance (α = 5%).

The zirconia implant produced the highest SD values (more heterogeneous grey values, corresponding to greater artefact expression), followed by titanium-zirconium, and titanium. In general, implants in the exomass produced images with higher SD values than implants inside the FOV. MAR was effective in decreasing SD values, especially from the zirconia implant, only when the implant was inside the FOV. Images with 80 kVp had higher SD values than those with 90 kVp, regardless of the other factors (

< 0.05).

Implants in the exomass lead to greater artefact expression than when they are inside the FOV. Special attention should be paid to scanning parameters that reduce metal-related artefacts, such as MAR activation and increasing kVp. This is especially important with a zirconia implant inside the FOV.

Implants in the exomass lead to greater artefact expression than when they are inside the FOV. Special attention should be paid to scanning parameters that reduce metal-related artefacts, such as MAR activation and increasing kVp. This is especially important with a zirconia implant inside the FOV.