This Image Reporting Module for kidney carcinoma is aimed at general radiologists who are interested in boosting their clinical competences in the interpretation and identification of different kidney cancer patterns using images from CT scan cases. The module is made up of five actual cases prepared by Dr. Nicolau.
The simulator enables participants to practise in a real environment, working on cases of kidney tumours, staging, and their post-treatment control. 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 program will be accredited with 2 CME credits from the EACCME.
| 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 consTableRowaints.
- ** Firefox, Edge and Safari also work but might not provide an equally smooth experience. Internet Explorer is not supported.
