Patient preferences for teleradiology services and remote image interpretation: An empirical study.

STUDY PURPOSE: This study aims to examine patient preferences for teleradiology services and remote image interpretation. In this context, this study aims to address the following research questions: (i) How do patients perceive teleradiology services, focusing specifically on comfort, quality of care and satisfaction, communication and information, and accessibility and ease of use; (ii) How do patient demographics (age, gender, urban vs. rural residence) influence the perceptions on teleradiology services? METHODS: A cross-sectional survey design is adopted in this study. The survey comprises five sections targeting demographic information, comfort, and preferences regarding remote image interpretation, perceived quality of care and satisfaction, communication and information clarity, and accessibility and technology aspects using five-point Likert scale ratings. A total of 406 patients (209 males and 197 females; 170 urban residents; 174 semi-urban residents, and 62 rural residents) using teleradiology services participated in the study. RESULTS: Participants reported high satisfaction with remote image interpretation (3.78 ± 1.19), quality of care (3.31 ± 1.19), understanding (3.84 ± 1.43), and user-friendliness (3.67 ± 1.29). Key issues were technical problems (3.81 ± 1.35), feedback difficulties (3.19 ± 1.58), privacy concerns (2.43 ± 1.46), and low awareness (2.37 ± 1.12). Urban participants scored significantly better in comfort, preferences, and communication than those from semi-urban and rural areas. CONCLUSION: Teleradiology design and implementation should be optimized to align with patient preferences and enhance overall satisfaction.

Effectiveness of ChatGPT in remote learning environments: An empirical study with medical students in Saudi Arabia.

Purpose: This study aims to assess the effectiveness of ChatGPT in remote learning among medical students. Methods: This cross-sectional survey study recruited 386 medical students from three public universities in Saudi Arabia. Participants completed an online questionnaire designed to assess perceptions of ChatGPT's effectiveness in remote learning. The questionnaire included Likert scale questions to evaluate various aspects of ChatGPT's support in remote learning, such as personalized learning, language and communication skills, and interactive quizzing. Data were analyzed using SPSS, employing descriptive statistics, independent samples t-tests, one-way ANOVA, and Cronbach's alpha to evaluate reliability. Results: Participants mostly used ChatGPT on a weekly (43.2%) or daily (48.7%) basis, primarily on personal computers (62.5%). Mean scores for ChatGPT's support in remote learning were high for personalized learning (4.35), language and communication skills (4.23), and interactive quizzing and assessments (4.01). Statistically significant differences were found based on gender for interactive quizzing (p = .0177) and continuity of education (p = .0122). Conclusion: Despite certain challenges and variations in perceptions based on gender and education level, the overwhelmingly positive attitudes toward ChatGPT highlight its potential as a valuable tool in medical education.

Enhancing medical students critical thinking skills through ChatGPT: An empirical study with medical students.

STUDY PURPOSE: This study aims to assess the effectiveness of ChatGPT in critical thinking skills among medical students. METHODS: This cross-sectional survey study recruited 392 medical students from three public universities in Saudi Arabia. Participants completed an online questionnaire assessing perceptions of ChatGPT's impact on critical thinking skills. Data were analyzed using SPSS, employing descriptive statistics, t-tests, analysis of variance, and Cronbach's alpha to evaluate reliability. RESULTS: Significant gender-based differences were found in perceptions of ChatGPT's efficacy, particularly in generating diverse perspectives (P = 0.0407*) and encouraging questioning (P = 0.0277*). Reflective practice perceptions varied significantly by age (P = 0.0302*), while academic backgrounds yielded significant differences across all factors assessed (P < 0.0001*). Overall, 92.6% believed integrating ChatGPT would benefit critical thinking skills. Most participants (N = 174) strongly agreed that ChatGPT improved critical thinking. CONCLUSION: Integrating ChatGPT into medical education could offer valuable opportunities for fostering critical thinking abilities, albeit with the need for addressing associated challenges and ensuring inclusivity.

Quantification of P-glycoprotein function at the human blood-brain barrier using [18F]MC225 and PET.

INTRODUCTION: P-glycoprotein (P-gp) is one of the most studied efflux transporters at the blood-brain barrier. It plays an important role in brain homeostasis by protecting the brain from a variety of endogenous and exogeneous substances. Changes in P-gp function are associated both with the onset of neuropsychiatric diseases, including Alzheimer's disease and Parkinson's disease, and with drug-resistance, for example in treatment-resistant depression. The most widely used approach to measure P-gp function in vivo is (R)-[11C]verapamil PET. (R)-[11C]verapamil is, however, an avid P-gp substrate, which complicates the use of this tracer to measure an increase in P-gp function as its baseline uptake is already very low. [18F]MC225 was developed to measure both increases and decreases in P-gp function. AIM: The aim of this study was (1) to identify the pharmacokinetic model that best describes [18F]MC225 kinetics in the human brain and (2) to determine test-retest variability. METHODS: Five (2 male, 3 female) of fourteen healthy subjects (8 male, 6 female, age 67 ± 5 years) were scanned twice (injected dose 201 ± 47 MBq) with a minimum interval of 2 weeks between scans. Each scanning session consisted of a 60-min dynamic [18F]MC225 scan with continuous arterial sampling. Whole brain grey matter data were fitted to a single tissue compartment model, and to reversible and irreversible two tissue-compartment models to obtain various outcome parameters (in particular the volume of distribution (VT), Ki, and the rate constants K1 and k2). In addition, a reversible two-tissue compartment model with fixed k3/k4 was included. The preferred model was selected based on the weighted Akaike Information Criterion (AIC) score. Test-retest variability (TRTV) was determined to assess reproducibility. RESULTS: Sixty minutes post-injection, the parent fraction was 63.8 ± 4.0%. The reversible two tissue compartment model corrected for plasma metabolites with an estimated blood volume (VB) showed the highest AIC weight score of 34.3 ± 17.6%. The TRVT of the VT for [18F]MC225 PET scans was 28.3 ± 20.4% for the whole brain grey matter region using this preferred model. CONCLUSION: [18F]MC225 VT, derived using a reversible two-tissue compartment model, is the preferred parameter to describe P-gp function in the human BBB. This outcome parameter has an average test-retest variability of 28%. TRIAL REGISTRATION: EudraCT 2020-001564-28 . Registered 25 May 2020.

Pharmacokinetic Modeling of [18F]MC225 for Quantification of the P-Glycoprotein Function at the Blood-Brain Barrier in Non-Human Primates with PET.

[18F]MC225 has been developed as a weak substrate of P-glycoprotein (P-gp) aimed to measure changes in the P-gp function at the blood-brain barrier with positron emission tomography. This study evaluates [18F]MC225 kinetics in non-human primates and investigates the effect of both scan duration and P-gp inhibition. Three rhesus monkeys underwent two 91-min dynamic scans with blood sampling at baseline and after P-gp inhibition (8 mg/kg tariquidar). Data were analyzed using the 1-tissue compartment model (1-TCM) and 2-tissue compartment model (2-TCM) fits using metabolite-corrected plasma as the input function and for various scan durations (10, 20, 30, 60, and 91 min). The preferred model was chosen according to the Akaike information criterion and the standard errors (%) of the estimated parameters. For the 91-min scan duration, the influx constant K1 increased by 40.7% and the volume of distribution (VT) by 30.4% after P-gp inhibition, while the efflux constant k2 did not change significantly. Similar changes were found for all evaluated scan durations. K1 did not depend on scan duration (10 min-K1 = 0.2191 vs 91 min-K1 = 0.2258), while VT and k2 did. A scan duration of 10 min seems sufficient to properly evaluate the P-gp function using K1 obtained with 1-TCM. For the 91-min scan, VT and K1 can be estimated with a 2-TCM, and both parameters can be used to assess P-gp function.

Radiologic Technology Students' Perceptions on Adoption of Artificial Intelligence Technology in Radiology.

Study Purpose: This study aims to analyze radiologic technology student's perceptions of artificial intelligence (AI) and its applications in radiology. Methods: A quantitative cross-sectional survey was conducted. A pre-validated survey questionnaire with 17 items related to students perceptions of AI and its applications was used. The sample included radiologic technology students from three universities in Saudi Arabia. The survey was conducted online for several weeks, resulting in a sample of 280 radiologic technology students. Results: Of the participants, 63.9% were aware of AI and its applications. T-tests revealed a statistically significant difference (p = 0.0471) between genders with male participants reflecting slightly higher AI awareness than female participants. Regarding the choice of radiology as specialization, 35% of the participants stated that they would not choose radiology, whereas 65% preferred it. Approximately 56% of the participants expressed concerns about the potential replacement of radiology technologists with AI, and 62.1% strongly agreed on the necessity of incorporating known ethical principles into AI. Conclusion: The findings reflect a positive evaluation of the applications of this technology, which is attributed to its essential support role. However, tailored education and training programs are necessary to prepare future healthcare professionals for the increasing role of AI in medical sciences.

Radiographers' workload and burnout on performance: an empirical study.

Study purpose: To assess the prevalence of burnout among radiographers, and whether demographic variables and work-related factors had any influence on burnout and perceived stress among them. Methods: A cross-sectional quantitative survey design is adopted in this study. The participants included radiographers from Saudi Arabia. Both Maslach Burnout Inventory (MBI) and Perceived Stress Scale (PSS) were used for data collection. Participation was voluntary, and the survey was conducted online, resulting in 322 final responses considered for the data analysis. Results: The mean emotional exhaustion (EE) score achieved was 26.01, representing medium burnout risk. However, the mean depersonalization (DP: µ = 25.25) and personal accomplishment (PA: µ = 23.65) represented high burnout risk among radiographers. Statistically significant differences (p < 0.05) were observed among the participants grouped by genders, age groups, nature of work type, and work experience. The mean perceived stress score for radiographers was identified to be 27.8, indicating high. Conclusion: The findings underscore the critical need for targeted interventions and support mechanisms within the radiology profession, particularly focusing on younger radiographers and those with extensive work experience.

Effects of proton therapy on regional [18F]FDG uptake in non-tumor brain regions of patients treated for head and neck cancer.

Background and purpose: Previous pre-clinical research using [18F]FDG-PET has shown that whole-brain photon-based radiotherapy can affect brain glucose metabolism. This study, aimed to investigate how these findings translate into regional changes in brain [18F]FDG uptake in patients with head and neck cancer treated with intensity-modulated proton therapy (IMPT). Materials and methods: Twenty-three head and neck cancer patients treated with IMPT and available [18F]FDG scans before and at 3 months follow-up were retrospectively evaluated. Regional assessment of the [18F]FDG standardized uptake value (SUV) parameters and radiation dose in the left (L) and right (R) hippocampi, L and R occipital lobes, cerebellum, temporal lobe, L and R parietal lobes and frontal lobe were evaluated to understand the relationship between regional changes in SUV metrics and radiation dose. Results: Three months after IMPT, [18F]FDG brain uptake calculated using SUVmean and SUVmax, was significantly higher than that before IMPT. The absolute SUVmean after IMPT was significantly higher than before IMPT in seven regions of the brain (p ≤ 0.01), except for the R (p = 0.11) and L (p = 0.15) hippocampi. Absolute and relative changes were variably correlated with the regional maximum and mean doses received in most of the brain regions. Conclusion: Our findings suggest that 3 months after completion of IMPT for head and neck cancer, significant increases in the uptake of [18F]FDG (reflected by SUVmean and SUVmax) can be detected in several individual key brain regions, and when evaluated jointly, it shows a negative correlation with the mean dose. Future studies are needed to assess whether and how these results could be used for the early identification of patients at risk for adverse cognitive effects of radiation doses in non-tumor tissues.

Focused ultrasound for opening blood-brain barrier and drug delivery monitored with positron emission tomography.

Focused ultrasound (FUS) is a minimally-invasive technology used for treatment of many diseases, including diseases related to the colon, uterus, prostate, and brain. Although it has been mainly used for ablative procedures, the ability of FUS to open the blood-brain barrier (BBB) presents a promising new application. However, the mechanism of BBB opening by FUS remains unclear. This review focuses on the use of FUS to open the BBB for enhancing drug delivery and investigating how Positron Emission Tomography (PET) provides insight into the underlying mechanism.