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How Satisfied Are Patients With Their Radiologists? Assessment Using a National Patient Ratings Website
Ginocchio, Luke A; Duszak, Richard Jr; Rosenkrantz, Andrew B
OBJECTIVE: The purpose of this study is to assess features of patient satisfaction scores for U.S. radiologists using a popular physician rating website. MATERIALS AND METHODS: Patient reviews were retrieved from the website RateMDs for all listed radiologists in all 297 U.S. cities with population 100,000 or greater. Reviews included rating scores of 1-5 (5 = highest) in four categories (staff, punctuality, knowledge, and helpfulness). Additional physician information was obtained from Medicare files. Common words in patient free-text comments were assessed. Statistical analyses were performed. RESULTS: We identified 1891 patient reviews for 1259 radiologists. In all four categories, the most common score was 5 for excellent (62.7-74.3%), and the second most common score was 1 for terrible (13.5-20.4%); scores of 2-4 were far less frequent (1.9-11.6%). Scores for all four categories highly correlated with one another (r = 0.781-0.951). Radiologists in the Northeast scored significantly lower (p < 0.001) than those elsewhere for both staff and punctuality. Radiologists attending a designated top 50 medical school showed nonsignificant trends toward lower scores for helpfulness (p = 0.073) and knowledge (p = 0.062). The most common words in free-text comments for positive reviews were "caring," "knowledgeable," and "professional." For negative reviews, "rude," "pain," and "unprofessional" were most common. CONCLUSION: Overall, most radiologists rated online by their patients score well, but reviews tended to be either strongly positive or negative. Scores across various categories are highly correlated, suggesting that there is a halo effect. Radiologists should recognize the effect of both facility- and radiologist-related factors in influencing patients' overall perceptions.
PMID: 28199131
ISSN: 1546-3141
CID: 2449202
Use of a Machine-learning Method for Predicting Highly Cited Articles Within General Radiology Journals
Rosenkrantz, Andrew B; Doshi, Ankur M; Ginocchio, Luke A; Aphinyanaphongs, Yindalon
RATIONALE AND OBJECTIVES: This study aimed to assess the performance of a text classification machine-learning model in predicting highly cited articles within the recent radiological literature and to identify the model's most influential article features. MATERIALS AND METHODS: We downloaded from PubMed the title, abstract, and medical subject heading terms for 10,065 articles published in 25 general radiology journals in 2012 and 2013. Three machine-learning models were applied to predict the top 10% of included articles in terms of the number of citations to the article in 2014 (reflecting the 2-year time window in conventional impact factor calculations). The model having the highest area under the curve was selected to derive a list of article features (words) predicting high citation volume, which was iteratively reduced to identify the smallest possible core feature list maintaining predictive power. Overall themes were qualitatively assigned to the core features. RESULTS: The regularized logistic regression (Bayesian binary regression) model had highest performance, achieving an area under the curve of 0.814 in predicting articles in the top 10% of citation volume. We reduced the initial 14,083 features to 210 features that maintain predictivity. These features corresponded with topics relating to various imaging techniques (eg, diffusion-weighted magnetic resonance imaging, hyperpolarized magnetic resonance imaging, dual-energy computed tomography, computed tomography reconstruction algorithms, tomosynthesis, elastography, and computer-aided diagnosis), particular pathologies (prostate cancer; thyroid nodules; hepatic adenoma, hepatocellular carcinoma, non-alcoholic fatty liver disease), and other topics (radiation dose, electroporation, education, general oncology, gadolinium, statistics). CONCLUSIONS: Machine learning can be successfully applied to create specific feature-based models for predicting articles likely to achieve high influence within the radiological literature.
PMID: 27692588
ISSN: 1878-4046
CID: 2273812
Associations Between Academic Rank and Advanced Bibliometric Indices Among United States Academic Radiologists
Jiang, Anthony; Ginocchio, Luke A; Rosenkrantz, Andrew B
RATIONALE AND OBJECTIVES: This study aimed to evaluate associations between traditional and advanced bibliometric indices with academic rank for radiologists in the United States. METHODS: Faculty web pages were searched to classify 538 members of the Association of University Radiologists as assistant (n = 212), associate (n = 128), or full (n = 198) professors. Radiologists' publication and citation records were extracted from Scopus to compute the following indices: publication count, citation count, h-index, i-10 index, hc-index, m-quotient, e-index, and g-index. Analysis of variance, multivariable logistic regression, and receiver operating characteristic curve analysis were performed. RESULTS: All indices were significantly different among the three groups (P =.001), progressively increasing with increasing rank (eg, mean publication count of 17, 41, and 128 among assistant, associate, and full professors, respectively; mean citation count of 205, 687, and 3622, respectively; mean h-index of 5, 11, and 27, respectively). At multivariable analysis, the h-index (reflecting publications and citations) was a strong significant independent positive predictor of associate (beta=+0.32, P <.001) or full professor (beta=+0.26, P <.001) status, whereas the m-quotient (adjusted h-index that is greater for more rapid publication) was a strong significant independent negative predictor of associate (beta=-1.87, P = .009) or full professor (beta =-4.97, P <.001) status. The models exhibited moderate goodness-of-fit (r2 = 0.534-0.655; P <.001). The model for predicting at least associate professor achieved area under the curve 0.876 (sensitivity 74.6%, specificity 88.8%). The model for predicting full professor achieved area under the curve 0.925 (sensitivity 85.5%, specificity 86.1%). CONCLUSION: When controlling for the h-index, more rapid publication, as indicated by the m-quotient, was negatively associated with radiologists' academic rank, indicating the additional influence of career duration in promotions decisions.
PMID: 27692589
ISSN: 1878-4046
CID: 2273822
Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate Radiologists
Rosenkrantz, Andrew B; Ginocchio, Luke A; Cornfeld, Daniel; Froemming, Adam T; Gupta, Rajan T; Turkbey, Baris; Westphalen, Antonio C; Babb, James S; Margolis, Daniel J
Purpose To determine the interobserver reproducibility of the Prostate Imaging Reporting and Data System (PI-RADS) version 2 lexicon. Materials and Methods This retrospective HIPAA-compliant study was institutional review board-approved. Six radiologists from six separate institutions, all experienced in prostate magnetic resonance (MR) imaging, assessed prostate MR imaging examinations performed at a single center by using the PI-RADS lexicon. Readers were provided screen captures that denoted the location of one specific lesion per case. Analysis entailed two sessions (40 and 80 examinations per session) and an intersession training period for individualized feedback and group discussion. Percent agreement (fraction of pairwise reader combinations with concordant readings) was compared between sessions. kappa coefficients were computed. Results No substantial difference in interobserver agreement was observed between sessions, and the sessions were subsequently pooled. Agreement for PI-RADS score of 4 or greater was 0.593 in peripheral zone (PZ) and 0.509 in transition zone (TZ). In PZ, reproducibility was moderate to substantial for features related to diffusion-weighted imaging (kappa = 0.535-0.619); fair to moderate for features related to dynamic contrast material-enhanced (DCE) imaging (kappa = 0.266-0.439); and fair for definite extraprostatic extension on T2-weighted images (kappa = 0.289). In TZ, reproducibility for features related to lesion texture and margins on T2-weighted images ranged from 0.136 (moderately hypointense) to 0.529 (encapsulation). Among 63 lesions that underwent targeted biopsy, classification as PI-RADS score of 4 or greater by a majority of readers yielded tumor with a Gleason score of 3+4 or greater in 45.9% (17 of 37), without missing any tumor with a Gleason score of 3+4 or greater. Conclusion Experienced radiologists achieved moderate reproducibility for PI-RADS version 2, and neither required nor benefitted from a training session. Agreement tended to be better in PZ than TZ, although was weak for DCE in PZ. The findings may help guide future PI-RADS lexicon updates. (c) RSNA, 2016 Online supplemental material is available for this article.
PMCID:5006735
PMID: 27035179
ISSN: 1527-1315
CID: 2059362
Instructional Vignettes in Publication and Journalism Ethics in Radiology Research:: Assessment via a Survey of Radiology Trainees
Rosenkrantz, Andrew B; Ginocchio, Luke A
RATIONALE AND OBJECTIVES: The aim of the present study was to assess the potential usefulness of written instructional vignettes relating to publication and journalism ethics in radiology via a survey of radiology trainees. MATERIALS AND METHODS: A literature review was conducted to guide the development of vignettes, each describing a scenario relating to an ethical issue in research and publication, with subsequent commentary on the underlying ethical issue and potential approaches to its handling. Radiology trainees at a single institution were surveyed regarding the vignettes' perceived usefulness. RESULTS: A total of 21 vignettes were prepared, addressing institutional review board and human subjects protection, authorship issues, usage of previous work, manuscript review, and other miscellaneous topics. Of the solicited trainees, 24.7% (16/65) completed the survey. On average among the vignettes, 94.0% of the participants found the vignette helpful; 19.9 received prior formal instruction on the issue during medical training; 40.0% received prior informal guidance from a research mentor; and 42.0% indicated that the issue had arisen in their own or a peer's prior research experience. The most common previously experienced specific issue was authorship order (93.8%). Free-text responses were largely favorable regarding the value of the vignettes, although also indicated numerous challenges in properly handling the ethical issues: impact of hierarchy, pressure to publish, internal politics, reluctance to conduct sensitive conversations with colleagues, and variability in journal and professional society policies. CONCLUSION: Radiology trainees overall found the vignettes helpful, addressing commonly encountered topics for which formal and informal guidance were otherwise lacking. The vignettes are publicly available through the Association of University Radiologists (AUR) website and may foster greater insights by investigators into ethical aspects of the publication and journalism process, thus contributing to higher quality radiology research.
PMID: 27052523
ISSN: 1878-4046
CID: 2066182
Evaluation for suspected acute appendicitis in the emergency department setting: a comparison of outcomes among three imaging pathways
Rosenkrantz, Andrew B; Labib, Anthony; Ginocchio, Luke A; Babb, James S
PURPOSE: To compare outcomes of imaging pathways in suspected acute appendicitis. METHODS: Computerized tomography (CT) alone, ultrasound alone, and ultrasound followed by CT were compared in 570 emergency department (ED) patients with suspected acute appendicitis. RESULTS: After initial ultrasound, 9.3% of men and 41.0% of women underwent CT. Body mass index (BMI) (P=.036): 25.3+/-5.7kg/m(2) (CT), 19.1+/-3.3kg/m(2) (ultrasound), and 22.4+/-3.2kg/m(2) (ultrasound then CT). Age (P<.001): 35.9+/-14.5 years (CT), 12.8+/-6.2y (ultrasound), and 21.2+/-9.0 years (ultrasound then CT). ED length-of-stay: 7.0+/-2.8h (CT), 5.9+/-2.8h (ultrasound), and 8.4+/-3.5h (ultrasound then CT). Admission, same-day discharge, appendectomy, pathology positive for appendicitis or complicated appendicitis, 30-day repeat ED visit/hospitalization: no difference between pathways (P=.062-1.00). CONCLUSION: Ultrasound, selected in patients with lowest age/BMI, had shortest length-of-stay but otherwise similar outcomes.
PMID: 27317225
ISSN: 1873-4499
CID: 2145372