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[Interdisciplinary case discussions].
- Source :
-
Radiologie (Heidelberg, Germany) [Radiologie (Heidelb)] 2023 Feb; Vol. 63 (2), pp. 103-109. Date of Electronic Publication: 2023 Jan 11. - Publication Year :
- 2023
-
Abstract
- Background: Interdisciplinary case discussions, especially tumor conferences, represent a large part of the clinical radiologist's daily work. Radiology plays a key role in tumor conferences, since imaging findings have a direct influence on therapy decisions.<br />Methods and Objectives: This article discusses the requirements for the radiologist in preparing and conducting tumor conferences. Furthermore, the general conditions and forms of implementation of tumor conferences will be highlighted. Information technology (IT) tools for process automation and systems for assessing the course of tumor diseases will be presented.<br />Results: Detailed preparation of tumor conferences and clear communication of findings is essential. The radiological expertise in tumor conferences often leads to changes or adjustments of initially planned therapies. In addition to traditional face-to-face meetings, hybrid solutions have become established for tumor conferences in which the core team is on site and other participants (external referring physicians, internal participants outside the core team) are connected via video conference. Various systems have been established for assessing the course of tumor diseases. Due to its broad applicability, RECIST 1.1. is the most widely used. IT tools enable previously marked lesions to be displayed over time in a matrix view (lesion tracking). Artificial intelligence (AI) can also be used to automatically detect lesions and assess their volumes.<br />Conclusion: Preparing and conducting tumor conferences is time-consuming for radiologists. IT tools can automate and thus facilitate the processes. Hybrid solutions combining face-to-face meetings and video conferences make it easier for external referring physicians to present their patients in tumor conferences.<br /> (© 2023. The Author(s), under exclusive licence to Springer Medizin Verlag GmbH, ein Teil von Springer Nature.)
- Subjects :
- Humans
Radiologists
Radiography
Communication
Artificial Intelligence
Radiology
Subjects
Details
- Language :
- German
- ISSN :
- 2731-7056
- Volume :
- 63
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Radiologie (Heidelberg, Germany)
- Publication Type :
- Academic Journal
- Accession number :
- 36629884
- Full Text :
- https://doi.org/10.1007/s00117-023-01114-x