The diagnostic imaging simulation programme for head and neck cancer—an activity accredited with 8 CME credits—, is aimed at oncologists who are interested in boosting their clinical competences in the interpretation and identification of different head and neck cancer patterns via images in MRI and CT scan cases.
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Description
The diagnostic imaging simulation programme for head and neck cancer—an activity accredited with 8 CME credits—, is aimed at oncologists who are interested in boosting their clinical competences in the interpretation and identification of different head and neck cancer patterns via images in MRI and CT scan cases. The programme gives access to four different modules in the simulator, each with five different cases. In addition, the programme is supplemented by three online sessions with Dr Grau in which aspects relating to the clinical symptoms of head and neck cancer will be discussed; as well as four online sessions with Dr Oleaga, to discuss the resolution of the cases from the simulator and to be able to clear up any questions relating to the interpretation of the images. The simulator enables real-time practice, working on cases of nasopharyngeal, oropharyngeal, hypopharyngeal and supraglottic tumours. It is a "learning by doing" learning environment which helps users to learn from both their mistakes and correct answers when interpreting the images; once each case has been completed, the user will receive the answers immediately, with comments both on the structured report and on the images in order to reinforce the entire learning process. By achieving 66% correct answers in each module, the programme will be accredited with 8 CME credits from the EACCME. The simulator modules will be available from March 2020 until 31 December 2020. In order to get the most out of the programme, we recommend completing each one of the modules before each of the different online sessions with Dr Oleaga. These online sessions will be recorded, and once each one has finished, users will be able to view them again. We recommend live participation in them in order to have the chance to interact with the experts taking part in the project.
Learning objectives
- · Recognise the anatomy and compartments of the neck in images in order to make a correct TNM classification and head and neck tumour staging.
- · Learn to classify head and neck tumours by following the indications set out in the 8th edition of TNM classification for head and neck tumours, with special consideration for the imaging data to be analysed.
- · Learn to use the lymphadenopathy level classification with images.
- · Recognise essential findings that may influence different therapeutic options.
Level
Level II - General radiologist
Technical requirements
The training platform runs entirely in the browser but the online PACS places a considerable load on the hardware and internet connection when viewing and loading cases.
| Hardware | Tablets * | Minimum | Recommended |
|---|---|---|---|
| Memory (RAM): | 2 Gigabyte | 8 Gigabyte | 16 Gigabyte |
| Processor (CPU): | Dual core 1.85 Ghz | Dual core 2 Ghz | Quad core 2.5 Ghz |
| Internet connection | Minimum | Recommended | |
| Speed: | 10 Mbps | 25 Mbps | |
| Software | Tablets | Desktop | |
| Browser: | Safari * | Chrome ** | |
- * Tested with Safari on iPad 9.7 (2017), should also work on Android with Chrome. User interface not optimized for smaller screens. Large cases (more than 600 images) are not able to be opened on tablet or mobile devices due to memory constraints.
- ** Firefox, Edge and Safari also work but might not provide an equally smooth experience. Internet Explorer is not supported.