Faculty Bibliography

CONTEXT: Poorly written radiology reports are common among residents and are a significant challenge for radiology education. While training may improve report quality, a professionally developed reliable and valid scale to measure report quality does not exist. OBJECTIVES: To develop a measurement tool for report quality, the quality of report scale, with rigorous validation through empirical data. METHODS: A research team of an experienced psychometrician and six senior radiologists conducted qualitative and quantitative studies. Five items were identified for the quality of report scale, each measuring a distinct aspect of report quality. Two dedicated training sessions were designed and implemented to help residents generate high-quality reports. In a blinded fashion, the quality of report scale was applied to 804 randomly selected reports issued before (n = 403) and after (n = 401) training. Full-scale psychometrical assessments were implemented onto the quality of report scale's item- and scale-scores from the reports. The quality of report scale scores were correlated with report professionalism and attendings' preference and were compared pre-/post-training. RESULTS: The quality of report scale showed sound psychometrical properties, with high validity and reliability. Reports with higher quality of report scale score were more professional and preferable by attendings. Training improved the quality of report scale score, empirically validating the quality of report scale further. CONCLUSION: While succinct and practitioner friendly, the quality of report scale is a reliable and valid measure of radiology report quality and has the potential to be easily adapted to other fields such as pathology, where similar training would be beneficial.

BACKGROUND: Many studies have investigated the association between the OPRM1 A118G polymorphism (rs1799971) and alcohol dependence, but the results were inconsistent. To better understand this relationship, ethnicity-specific meta-analyses were conducted. METHODS: We retrieved all eligible studies published up to April 12, 2011 from the PubMed/MEDLINE, EMBASE, and ISI Web of Science databases. Ethnicity-specific meta-analyses were performed using either fixed- or random-effect models as appropriate. RESULTS: Twelve independent studies with 1900 cases and 2382 controls were included. Five studies were conducted in Asians and seven in Caucasians. Ethnicity-specific meta-analyses revealed that the A118G polymorphism was significantly associated with alcohol dependence risk in Asians (GA vs. AA: odds ratio [OR], 1.73; 95% confidence interval [CI], 1.33-2.25; GA+GG vs. AA: OR, 1.57; 95% CI, 1.22-2.02), but not in Caucasians (GA vs. AA: OR, 1.05; 95% CI, 0.75-1.49; GA+GG vs. AA: OR, 1.11; 95% CI, 0.79-1.55). CONCLUSIONS: The OPRM1 A118G polymorphism may contribute to the susceptibility of alcohol dependence in Asians but not in Caucasians.

BACKGROUND: Several studies have assessed the association between genetic polymorphisms of tryptophan hydroxylase (TPH1) and risk of mood disorders and alcohol dependence, with controversial results. Our aim was to assess the association of TPH1 A218C polymorphism (rs1800532) with mood disorders, including major depressive disorder and bipolar disorder, and alcohol dependence by using meta-analysis. METHODS: Data were collected from the related literatures published until November 25, 2010 from MEDLINE, EMBASE and ISI Web of Science databases, and meta-analysis stratified by ethnicity was performed in either fixed or random effect model as appropriate by using Stata Statistical Package (version 10.0). RESULTS: Twenty-seven individual studies were included in the current study, among which, there were 9 studies for bipolar disorder, with 1951 cases and 2161 controls, 14 studies for major depressive disorder, with 2340 cases and 3204 controls, and 4 studies for alcohol dependence, with 601 cases and 711 controls. We found that in Caucasian population, the TPH1 218AA genotype was significantly associated with increased bipolar disorder risk (recessive comparison: OR, 1.42; Bonferroni-adjusted P=0.006; homozygote comparison: OR, 1.63; Bonferroni-adjusted P=0.072), and elevated alcohol dependence risk (recessive comparison: OR, 1.83; Bonferroni-adjusted P=0.012), while the association was not significant in Asian population. Moreover, the A218C polymorphism did not appear to have any effect on major depressive disorder risk either in Caucasians or in Asians. CONCLUSION: The TPH1 A218C polymorphism is a potential biomarker for bipolar disorder and alcohol dependence risk in Caucasian population.

BACKGROUND: The feasibility and validity of Web-based assessments in Parkinson's disease is unknown. The objectives of this study were to develop and to compare home Web-based assessments with office-based assessments. METHODS: We tested feasibility and validity using a longitudinal, randomized crossover design. Patients were assessed at baseline and after 6 and 12 weeks using both assessments including the Unified Parkinson's Disease Rating Scale, the Unified Dyskinesia Rating scale, timed tests, and quality-of life and Non-Motor Symptoms questionnaires. RESULTS: Forty-two patients were included (22 men, 20 women; mean age, 64.7 +/- 9.0 years). Only 2 patients (5%) dropped out. The mean intraclass correlation coefficient between Web- and office-based assessments ranged from 0.67 (first visit) to 0.75 (last visit) and 0.81 and 0.82 for doctor- and patient-administered scales, respectively. No differences in responsiveness (P = 0.63), and data precision (P = 0.11) were found, but Web-based assessments had fewer missing values (P = 0.01). CONCLUSIONS: Web-based assessments offer a feasible format for assessing PD-related impairment from home.