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The module attempts to help shed some light on this large group of heterogeneous tumours found in the soft tissues of the musculoskeletal system. The module is targeted at radiologists who occasionally encounter soft tissue tumours outside of tumour centres, applying basic rules for distinguishing ‘potentially malignant’ from ‘probably benign’ masses.
25.00 €
Description
Unlike many bone tumours, soft tissue masses are often less straight forward in the diagnostic process. There are a few signs that are pathognomonic, some that narrow down to either/or, and that fall into the “could be”/differential of likelihood range. The risk of “pitfalls and Oops lesions” in this group goes up considerably, especially if there aren’t a lot of distinguishing symptoms or clear indications. The module attempts to help shed some light on this large group of heterogeneous tumours found in the soft tissues of the musculoskeletal system. The module is targeted at radiologists who occasionally encounter soft tissue tumours outside of tumour centres, applying basic rules for distinguishing ‘potentially malignant’ from ‘probably benign’ masses, using primary exclusion trees and hints to help point you in the right direction.
Learning objectives
- Recognise typical signs of soft tissue tumours that are indicative but mostly non-specific of a diagnosis.
- Increase confidence in assessing which tumour is probably benign and which potentially malignant and requiring referral to a tertiary centre and biopsy.
- Learn about basic recurrent criteria, including epidemiology, location, morphology and MR signal intensity of more common soft tissue masses.
- Learn to apply WHO tumour staging criteria (TNM).
Level
Level II - General radiologist
Radiologists who report on MSK and have got some background on the topic
Additional info
| Estimated duration: | 120 min |
| Date created: | 28 Jun 2019 |
| Date of EACCME review: | 21 Feb 2023 |
| Date of EACCME expiration: | 21 Feb 2025 |
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.
Lecturers
-
Björn Jobke M.D.
Bordeaux, France
Consultant Radiologist at TMC
Björn Jobke, MD, is a practicing MSK radiologist and sarcoma expert. Dr. Jobke brings 15 years of experience in academia, training and research. Before entering radiology, he undertook a research doctorate at the Institute of Bone Pathology in Hamburg Germany, investigating sarcomas and metabolic bone diseases. Later, he was the lead radiologist in German sarcoma centres in Bremen, Berlin-Buch and Heidelberg. He pursued an MSK research postdoctorate at UCSF and a clinical MSK fellowship in Leiden, Holland further defining his subspecialty. Dr. Jobke has published numerous articles in the field of MSK and co-authored several book chapters, incl. on sarcomas in a popular MSK reference book. He was a lecturer at several MSK meetings including ISS, ESSR and TMC Academy meetings. Radiological-pathological synopsis was the fundamental basis of his early training and which he continues to be passionate about and eager to pass on his knowledge. His goal is to facilitate an approach to the niche of sarcoma diagnostics by keeping things simple. Since 2016 Dr. Jobke has worked for TMC’s musculoskeletal section and is based in San Francisco.