Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systems
Impacto
Scholar |
Otros documentos de la autoría: Mañas Garcia , Alejandro; González Valverde, Ismael; Camacho‑Ramos, E.; Alberich-Bayarri, Angel; Maldonado, Jose Alberto; Marcos, Mar; Robles, Montserrat
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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INVESTIGACIONMetadatos
Título
Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring SystemsAutoría
Fecha de publicación
2022-02-01Editor
SpringerISSN
0897-1889; 1618-727XCita bibliográfica
Mañas-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/s10278-022-00589-9Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
The 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 ... [+]
The 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. [-]
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