Structured Reporting in the Characterization of Renal Cysts by Contrast-Enhanced Ultrasound (CEUS) Using the Bosniak Classification System-Improvement of Report Quality and Interdisciplinary Communication
In: Diagnostics (Basel, Switzerland), Jg. 11 (2020-12-20), Heft 2
Online
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Zugriff:
Background: This study aims to evaluate the potential benefits of structured reporting (SR) compared to conventional free-text reporting (FTR) in contrast-enhanced ultrasound (CEUS) of cystic renal lesions, based on the Bosniak classification. Methods: Fifty patients with cystic renal lesions who underwent CEUS were included in this single-center study. FTR created in clinical routine were compared to SR retrospectively generated by using a structured reporting template. Two experienced urologists evaluated the reports regarding integrity, effort for information extraction, linguistic quality, and overall quality. Results: The required information could easily be extracted by the reviewers in 100% of SR vs. 82% of FTR (p <
0.001). The reviewers trusted the information given by SR significantly more with a mean of 5.99 vs. 5.52 for FTR (p <
0.001). SR significantly improved the linguistic quality (6.0 for SR vs. 5.68 for FTR (p <
0.001)) and the overall report quality (5.98 for SR vs. 5.58 for FTR (p <
0.001)). Conclusions: SR significantly increases the quality of radiologic reports in CEUS examinations of cystic renal lesions compared to conventional FTR and represents a promising approach to facilitate interdisciplinary communication in the future.
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Structured Reporting in the Characterization of Renal Cysts by Contrast-Enhanced Ultrasound (CEUS) Using the Bosniak Classification System-Improvement of Report Quality and Interdisciplinary Communication
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Autor/in / Beteiligte Person: | Rübenthaler, Johannes ; Rückel, Johannes ; Geyer, Thomas ; Falck, Yannick ; Staehler, Michael ; Sabel, Laura ; Clevert, Dirk-André ; Afat, Saif ; Schwarze, Vincent ; Nuhn, Maria-Magdalena ; Matthias F Froelich ; Moritz L Schnitzer ; Nuhn, Philipp ; Marschner, Constantin |
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Zeitschrift: | Diagnostics (Basel, Switzerland), Jg. 11 (2020-12-20), Heft 2 |
Veröffentlichung: | 2020 |
Medientyp: | unknown |
ISSN: | 2075-4418 (print) |
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