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31
datasets available to search
ShareScore release 0.9.0
Dataset results
31 results for “Radiologists”
MRI-Based Machine Learning Approach Versus Radiologist MRI Reading for the Detection of Prostate Cancer, The PRIMER Trial
ClinicalTrials.gov study NCT07162194. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Agreement Among Expert Radiologists in Diagnosing Primary Liver Tumors by Magnetic Resonance Imaging (MRI)
ClinicalTrials.gov study NCT01234701. IPD Sharing: Not stated. Countries: 6. Publications: 0.
Retrospective Clinical Trial Comparing Radiologists' Diagnosis Accuracy in Lung Cancer Screening Population With and Without the Help of an AI/ML Tech-based SaMD
ClinicalTrials.gov study NCT06751576. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Grasshopper: a Novel Clinical Dashboard for Radiologists
ClinicalTrials.gov study NCT06785246. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Impact of AI Assistance on Radiologist Performance and Healthcare Costs in LDCT-Based Lung Cancer Screening
ClinicalTrials.gov study NCT06988579. IPD Sharing: NO. Countries: 1. Publications: 0.
Study of Radiology Manipulator Work Validation by the Radiologist
ClinicalTrials.gov study NCT06894082. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Using Artificial Intelligence to Improve Radiologists' Performance in Radiology Report Writing: a Randomised Controlled Trial
ClinicalTrials.gov study NCT06907927. IPD Sharing: Not stated. Countries: 1. Publications: 0.
xrAI - Improving Quality and Efficiency in Chest Radiograph Interpretation by Radiologists
ClinicalTrials.gov study NCT04221100. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
The Effect of a Digital Photograph of the Patient in a CT Scan Examination on the Quality of Diagnosis by the Radiologist
ClinicalTrials.gov study NCT00437788. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Breast arterial calcifications as a biomarker of cardiovascular risk: radiologists' awareness, reporting, and action. A survey among the EUSOBI members
<p>Data set from the article Trimboli RM, Capra D, Codari M, Cozzi A, Di Leo G, Sardanelli F. Breast arterial calcifications as a biomarker of cardiovascular risk: radiologists' awareness, reporting, and action. A survey among the EUSOBI members. Eur Radiol. 2021 Feb;31(2):958-966. doi: 10.1007/s00330-020-07136-6. Epub 2020 Aug 27. PMID: 32851451; PMCID: PMC7813731.</p> <p><strong>Abstract</strong></p> <p><strong>Objectives: </strong>To investigate the knowledge of radiologists on breast arterial calcifications (BAC) and attitude about BAC reporting, communication to women, and subsequent action.</p> <p><strong>Methods: </strong>An online survey was offered to EUSOBI members, with 17 questions focused on demographics, level of experience, clinical setting, awareness of BAC association with cardiovascular risk, mammographic reporting, modality of BAC assessment, and action habits. Descriptive statistics were used.</p> <p><strong>Results: </strong>Among 1084 EUSOBI members, 378 (34.9%) responded to the survey, 361/378 (95.5%) radiologists, 263 females (69.6%), 112 males (29.6%), and 3 (0.8%) who did not specify their gender. Of 378 respondents, 305 (80.7%) declared to be aware of BAC meaning in terms of cardiovascular risk and 234 (61.9%) to routinely include BAC in mammogram reports, when detected. Excluding one inconsistent answer, simple annotation of BAC presence was declared by 151/233 (64.8%), distinction between low versus extensive BAC burden by 59/233 (25.3%), and usage of an ordinal scale by 22/233 (9.5%) and of a cardinal scale by 1/233 (0.4%). Among these 233 radiologists reporting BAC, 106 (45.5%) declared to orally inform the woman and, in case of severe BAC burden, 103 (44.2%) to investigate cardiovascular history, and 92 (39.5%) to refer the woman to a cardiologist.</p> <p><strong>Conclusion: </strong>Among EUSOBI respondents, over 80% declared to be aware of BAC cardiovascular meaning and over 60% to include BAC in the report. Qualitative BAC assessment predominates. About 40% of respondents who report on BAC, in the case of severe BAC burden, investigate cardiovascular history and/or refer the woman to a cardiologist.</p>
Chest x-ray in the COVID-19 pandemic: Radiologists real-world reader performance.
<p>Dataset from the article Cozzi A, Schiaffino S, Arpaia F, Della Pepa G, Tritella S, Bertolotti P, Menicagli L, Monaco CG, Carbonaro LA, Spairani R, Babaei Paskeh B, Sardanelli F. Chest x-ray in the COVID-19 pandemic: Radiologists' real-world reader performance. Eur J Radiol. 2020 Nov;132:109272. doi: 10.1016/j.ejrad.2020.109272. Epub 2020 Sep 10. PMID: 32971326; PMCID: PMC7481070.</p> <p><strong>Abstract</strong></p> <p><strong>Purpose: </strong>To report real-world diagnostic performance of chest x-ray (CXR) readings during the COVID-19 pandemic.</p> <p><strong>Methods: </strong>In this retrospective observational study we enrolled all patients presenting to the emergency department of a Milan-based university hospital from February 24th to April 8th 2020 who underwent nasopharyngeal swab for reverse transcriptase-polymerase chain reaction (RT-PCR) and anteroposterior bedside CXR within 12 h. A composite reference standard combining RT-PCR results with phone-call-based anamnesis was obtained. Radiologists were grouped by CXR reading experience (Group-1, >10 years; Group-2, <10 years), diagnostic performance indexes were calculated for each radiologist and for the two groups.</p> <p><strong>Results: </strong>Group-1 read 435 CXRs (77.0 % disease prevalence): sensitivity was 89.0 %, specificity 66.0 %, accuracy 83.7 %. Group-2 read 100 CXRs (73.0 % prevalence): sensitivity was 89.0 %, specificity 40.7 %, accuracy 76.0 %. During the first half of the outbreak (195 CXRs, 66.7 % disease prevalence), overall sensitivity was 80.8 %, specificity 67.7 %, accuracy 76.4 %, Group-1 sensitivity being similar to Group-2 (80.6 % versus 81.5 %, respectively) but higher specificity (74.0 % versus 46.7 %) and accuracy (78.4 % versus 69.0 %). During the second half (340 CXRs, 81.8 % prevalence), overall sensitivity increased to 92.8 %, specificity dropped to 53.2 %, accuracy increased to 85.6 %, this pattern mirrored in both groups, with decreased specificity (Group-1, 58.0 %; Group-2, 33.3 %) but increased sensitivity (92.7 % and 93.5 %) and accuracy (86.5 % and 81.0 %, respectively).</p> <p><strong>Conclusions: </strong>Real-world CXR diagnostic performance during the COVID-19 pandemic showed overall high sensitivity with higher specificity for more experienced radiologists. The increase in accuracy over time strengthens CXR role as a first line examination in suspected COVID-19 patients.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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OpenNeuro
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