Seamless PACS integration of radiology teaching database
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The document describes the development of a software tool called the TCE Selector that seamlessly integrates radiology teaching databases with PACS clients according to the IHE TCE integration profile. The TCE Selector allows radiologists to select images from PACS, add metadata, and export teaching files to databases like MIRC. Over 700 teaching files were created in the first year with high user acceptance. Further development could focus on more educational content and interdisciplinary collaboration.
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Seamless PACS integration of radiology teaching database
- 1. Seamless integration of the radiological teaching database MIRC with PACS clients according to IHE TCE AHLERS C, WUNDER K, SCHNEIDER J, DÜBER C, MILDENBERGER P
- 2. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie Situation • Conventional film archives obsolete • Digital content resource for teaching and education in Radiology needed • Electronic systems for storage, retrieving, viewing of radiological images and teaching files are available • Problem: Poor interoperability between clinical workspace and teaching database
- 3. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie Purpose of this project • Development of a software tool for vendor independent integration of PACS clients with radiologic teaching files • Time saving creation of teaching files in clinical routine • Assessment and evaluation of the tool
- 4. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie Methods Implementation of the IHE TCE integration profile (Teaching file and clinical trial export): „Export Selector – A system that allows a user to select one or more instances, series or studies for export…“ TCE Selector: • Image display and selection in PACS client • DICOM send to TCE Selector • Enter keywords and information • Pseudonymization • Processing of DICOM instances and content • Send to MIRC for automated generation of teaching file
- 5. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie Methods Implementation of the RadLex categorization system • Based on established systems like: ACR Index, SNOMED, UMLS, Fleischner Society Glossaries, DICOM. • Aspects: – Modalities – Technique – Imaging features – Anatomy – Pathology
- 6. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie Architecture MIRC PACS workstation MIRC server client computer web browser TCE Selector DICOM send Content (ATFI/TCE) web browser DICOM file system web browser
- 7. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie
- 8. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie
- 9. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie
- 10. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie
- 11. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie
- 12. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie
- 13. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie Integration with e-learning client computer E-learning content ILIAS e-learning www.e-learning.uni-mainz.de Private MIRC Image content Public MIRC http://mirc.gesit.de PACS workstation Intranet InternetTCE Selector ZIP Submit Service URL
- 14. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie Results TCE Selector – Compliant with IHE TCE profile – Compatible/adaptable to different teaching file systems – Vendor independent integration with any PACS viewer – Implementation of a widely accepted categorization system – Free
- 15. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie Results • Over 700 teaching files created within one year • Parallel to clinical routine, number increasing daily • Additional time consumption: approx. 5 minutes per case • Use for: – Personal study – Research – Teaching • Evaluation of user acceptance via survey – 21 final year students – 124 3rd year students
- 16. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie User Acceptance never 1 - 3 times 2 - 10 times >10 times 0 2 4 6 8 10 12 14 Whow often do you use MIRC per week? (n=21)
- 17. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie User Acceptance unnecessary indifferent important very important 0 2 4 6 8 10 12 14 How would you judge the availability of a teaching file database? (n=21)
- 18. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie Perspective • Interdisciplinary eLearningLab for self study! more cases detailed explanation guided image analysis detailed image annotation anatomic reference sketches integration of other specialities 0 2 4 6 8 10 12 14 16 18 What should be the focus of further development? (n=21)
- 19. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie Conclusion • TCE Selector provides vendor independent integration of PACS and teaching files according to IHE TCE. • Implements established categorization systems for efficient keyword based retrieval • Proved high user acceptance • Vast potential for development in terms of structure and content
- 20. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie Thank you! Info and Download TCE Selector: http://mircwiki.rsna.org mirc@radiologie.klinik.uni-mainz.de
Notas do Editor
- - Filmless department - need for storage facility for teaching and education - process of storage can be time consuming because interopreability between pacs clients and teching database is poor
- In order to solves these interoperability issue we developed a software tool for ....
- First, lets talk about how that tool is working it is basically an implementation of te IHE integration profile „TCE“. According to this profile it has the role of an export selector, which means that... now, this is a bit technical, here is how the system acts in detail. Basically, the images are selectedt in the pacs viewer and sent to the tce selector via dicom send after the tol has received the instances, a gui appears, allowing the entering of additional information. After processing everything is forwarded to the mirc system.
- As said before, the system provides the graphical user interface for indexing and categorization of the material and to enter adiitional information to be included in the teaching file. For this purpose we implemented the RradLex categorization system, an RSNA development based on established terminology systems used in radiology. It features all aspects of diagnostic imaging
- To give you an idea of how the structure of such a system can look like, here ist a scheme of the MIRC system at our institution - MIRC is a web based teachng datebase system - on the right hand side you see a client computer accessing the content via a web browser - before that, content hast to be created, which is conventionally done also via a web browser, editing content and adding images - so we automated this process using our TCE selector - using this software you can select your imges in the pacs viewer at time of reporting and diretly enter categorisation and content im going to show you later how that looks like
- Now i´d like to give you an impression n how using the system looks like in practice: lets assume youre at your reorting workstation and found an image that you would like to save in your teaching databese.
- You can send it via DICOM send to the local TCE selector
- Now a gui appears with gives you the possibility to enter information such as cetegories,findings, anatomic location, diagnosis, history and other relevant information. After everything is complete you hit the send buttun and everything is beeing formawrded to the mirc system, where a teching file is now beeing generated automatcally
- When you access the MIRC system with your web browser, yo come to the starting page, where you can start a keyword based serach
- And this is how your search results would be presented
- After opening one of the files, it can look like this. Here we can find all teh information we entered at time of reporting and selecting the images
- One thing we are cuurently working on is the integration of MIRC with the e-learning system ILIAS which is used at our university everybody who got in contact with e-learning knows, that creation of significatnt content can be a lot of work with oure MIRC system we already have a lot of useful information so how to bring everything together? That is what we are cuurently working on, to create an integrated web application, where ILIAS provides the learning environment and infrastructure and mirc serves the infomational content
- So, what are teh results? We have a software tool, that is...
- The numbers below demonstrate a very high user acceptance, which is escecially du to the very streamline process, fully compatible with the daily routine
- The numbers below demonstrate a very high user acceptance, which is escecially du to the very streamline process, fully compatible with the daily routine
- The numbers below demonstrate a very high user acceptance, which is escecially du to the very streamline process, fully compatible with the daily routine