Abstract Archives of the RSNA, 2014
MKE338
The Abdominal Wall Mass: An Imaging-based Algorithm for Diagnosis
Education Exhibits
Presented in 2014
Usman Bashir MBBS, Presenter: Nothing to Disclose
Venus Hedayati MRCP, FRCR, Abstract Co-Author: Nothing to Disclose
Christina Messiou MD, BMBS, Abstract Co-Author: Nothing to Disclose
1. Guidelines for imaging masses in the anterior abdominal wall including sonography, computed tomography, MRI, FDG PET/CT and image guided biopsy.
2. Imaging features of the most common lesions presenting as a mass to the anterior abdominal wall as well as highly specific features of less common pathologies.
3. The use of imaging and clinical features to guide accurate diagnosis.
Overview
Imaging Technique
Benign Entities
-Abdominal wall fibromatosis
-Hemorrhagic lesions
Haematoma
Endometriosis
-Fat containing lesions
Lipoma
Well-differentiated liposarcoma (discussed here for simplicity)
Vascular malformation
Fat necrosis
-Nerve sheath tumors
Malignant Entities
-Primary malignant tumors
Sarcoma
Dermatofibrosarcoma protuberans
Solitary fibrous tumors
-Metastasis
Proposed Diagnostic Algorithm based on imaging and clinical features.
http://abstract.rsna.org/uploads/2014/14005077/14005077_6at1.pdf
Bashir, U,
Hedayati, V,
Messiou, C,
The Abdominal Wall Mass: An Imaging-based Algorithm for Diagnosis. Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL.
http://archive.rsna.org/2014/14005077.html