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dc.contributor.authorMañas Garcia , Alejandro
dc.contributor.authorGonzález Valverde, Ismael
dc.contributor.authorCamacho‑Ramos, E.
dc.contributor.authorAlberich-Bayarri, Angel
dc.contributor.authorMaldonado, Jose Alberto
dc.contributor.authorMarcos, Mar
dc.contributor.authorRobles, Montserrat
dc.date.accessioned2022-05-25T06:50:47Z
dc.date.available2022-05-25T06:50:47Z
dc.date.issued2022-02-01
dc.identifier.citationMañas-García, A., González-Valverde, I., Camacho-Ramos, E. et al. Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systems. J Digit Imaging (2022). https://doi.org/10.1007/s10278-022-00589-9ca_CA
dc.identifier.issn0897-1889
dc.identifier.issn1618-727X
dc.identifier.urihttp://hdl.handle.net/10234/197803
dc.description.abstractThe benefits of structured reporting (SR) in radiology are well-known and have been widely described. However, there are limitations that must be overcome. Radiologists may be reluctant to change the conventional way of reporting. Error rates could potentially increase if SR is used improperly. Interruption of the visual search pattern by keeping the eyes focused on the report rather than the images may increase reporting time. Templates that include unnecessary or irrelevant information may undermine the consistency of the report. Last, the lack of support for multiple languages may hamper the adaptation of the report to the target audience. This work aims to mitigate these limitations with a web-based structured reporting system based on templates. By including field validators and logical rules, the system avoids reporting mistakes and allows to automatically calculate values and radiological qualitative scores. The system can manage quantitative information from imaging biomarkers, combining this with qualitative radiological information usually present in the structured report. It manages SR templates as plugins (IHE MRRT compliant and compatible with RSNA’s Radreport templates), ensures a seamless integration with PACS/RIS systems, and adapts the report to the target audience by means of natural language extracts generated in multiple languages. We describe a use case of SR template for prostate cancer including PI-RADS 2.1 scoring system and imaging biomarkers. For the time being, the system comprises 24 SR templates and provides service in 37 hospitals and healthcare institutions, endorsing the success of this contribution to mitigate some of the limitations of the SR.ca_CA
dc.format.extent12 p.ca_CA
dc.language.isoengca_CA
dc.publisherSpringerca_CA
dc.relation.uriSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.ca_CA
dc.rights© The Author(s) under exclusive licence to Society for Imaging Informatics in Medicine 2022ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/ca_CA
dc.subjectstructured reportingca_CA
dc.subjectimaging biomarkersca_CA
dc.subjectscoring systemsca_CA
dc.subjectIHE MRRT profileca_CA
dc.subjectPACS integrationca_CA
dc.titleRadiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systemsca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1007/s10278-022-00589-9
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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