Abstract Archives of the RSNA, 2014
Rammohan Vadapalli MD, Presenter: Nothing to Disclose
Harshavardhan KR MD, Abstract Co-Author: Nothing to Disclose
Lalitha Palle, Abstract Co-Author: Nothing to Disclose
To make an algorithmic diagnostic imaging approach for characterization of soft tissue masses ( SLAM approach: S-Signal and Signs, L-Location A-Age group M-Multiplicity/Morphology)
SLAM approach :Signal morphology on T1 and T2, Location clues, Age group clues, Multiplicity are discussed with clinical examples.
The Key Imaging Signs are illustrated with examples
Triple sign: Synovial sarcoma
Lasagne sign: Elastofibroma
Broccoli sign: Lipoma arborescence
Fascicular sign: Neurogenic tumours
Comet Tail sign: Neurogenic tumors
Target sign/Bulls eye sign: Neurogenic tumours
Dot in circle sign: Mycetoma Foot
Coaxial cable sign: Lipo fibromatous Hamartoma Median nerve/Neural Fibrolipoma
Location clues along a vein , along a nerve, along a tendon to name a few.
Multiplicity and causes of multiple and symmetrical soft tissue mass lesions are illustrated
The M Rule or MI7 for the Morphology of the lesions is highlighted:
Morphology (MI 7 Rule)
Melanin :Clear cell Sarcoma
Met haemoglobin: Haemorrhage in a tumour/Haematoma
Mucin: Metastatic adenocarcinoma
Mycelia(septal hyphae):Fungal pathology-Mycetoma
MatrixMix: Calcium,Phleboliths,haemosiderin,Fat,Cellularity
Makkan(Fat) :Lipoma,Lipoblastoma
Myxoid: Myxoma, Myxoid Liposarcoma
http://abstract.rsna.org/uploads/2014/14008926/14008926_w2e2.pdf
Vadapalli, R,
KR, H,
Palle, L,
Imaging of Soft tissue Tumors Clues and Tricks for Decision Making (SLAM Approach). Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL.
http://archive.rsna.org/2014/14008926.html