ArticleThe British journal of radiology2018
A proof of concept for epidemiological research using structured reporting with pulmonary embolism as a use case.
Article in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Evaluation of large language models for diagnostic impression generation from brain MRI report findings: a multicenter benchmark and reader study.NPJ digital medicine · 2026Article
- A novel reporting workflow for automated integration of artificial intelligence results into structured radiology reports.Insights into imaging · 2024Article
- ESR paper on structured reporting in radiology-update 2023.Insights into imaging · 2023Article
- [Report template from the German Society of Urology and the German Radiological Society for standardized, structured reporting of native computed tomography scans in the diagnosis of urinary stones].Urologie (Heidelberg, Germany) · 2023Review
- Structured reporting in radiology enables epidemiological analysis through data mining: urolithiasis as a use case.Abdominal radiology (New York) · 2023Article
- Implementation of structured reporting in clinical routine: a review of 7 years of institutional experience.Insights into imaging · 2023Article
- Efficient structured reporting in radiology using an intelligent dialogue system based on speech recognition and natural language processing.Insights into imaging · 2023Article
- [Structured reporting in radiology : IT essentials].Der Radiologe · 2021Review
- [Structured reporting in radiology : German and European radiology societies' point of view].Der Radiologe · 2021Review
- Structured reporting of chest CT in COVID-19 pneumonia: a consensus proposal.Insights into imaging · 2020Article
- Contextual Structured Reporting in Radiology: Implementation and Long-Term Evaluation in Improving the Communication of Critical Findings.Journal of medical systems · 2020Article
- Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs.Insights into imaging · 2019Article
- Utilization of Structured Reporting to Monitor Outcomes of Doppler Ultrasound Performed for Deep Vein Thrombosis.Journal of digital imaging · 2019Article
- TheNPJ digital medicine · 2019Review
- Big data, artificial intelligence, and structured reporting.European radiology experimental · 2018Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis paper studies the possibilities of an integrated IT-based workflow for epidemiological research in pulmonary embolism (PE) using freely available tools and structured reporting (SR).
methodsWe included a total of 521 consecutive cases which had been referred to the radiology department for CT pulmonary angiography with suspected PE. Free-text reports were transformed into structured reports using a freely available IHE Management of Radiology Report Templates-compliant reporting platform. D-dimer values were retrieved from the hospitals laboratory results system. All information was stored in the platform's database and visualized using freely available tools. For further analysis, we directly accessed the platform's database with an advanced analytics tool (RapidMiner).
resultsResults: We were able to develop an integrated workflow for epidemiological statistics from reports obtained in clinical routine. The report data allowed for automated calculation of epidemiological parameters. Prevalence of PE was 27.6%. The mean age in patients with and without PE did not differ (62.8 years and 62.0 years, respectively, p = 0.987). As expected, there was a significant difference in mean D-dimer values (10.13 and 3.12 mg l-1 fibrinogen equivalent units, respectively, p < 0.001).
conclusionSR can make data obtained from clinical routine more accessible. Designing practical workflows is feasible using freely available tools and allows for the calculation of epidemiological statistics on a near realtime basis. Therefore, radiologists should push for the implementation of SR in clinical routine. Summary sentence: Implementing practical workflows that allow for the calculation of epidemiological statistics using SR and freely available tools is easily feasible. Advances in knowledge: Theoretical benefits of SR have long been discussed, but practical implementation demonstrating those benefits has been lacking. Here, we present a first experience providing proof that SR will make data from clinical routine more accessible.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.