RSNA 2014 

Abstract Archives of the RSNA, 2014


MKE338

The Abdominal Wall Mass: An Imaging-based Algorithm for Diagnosis

Education Exhibits

Presented in 2014

Participants

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

TEACHING POINTS

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.  

TABLE OF CONTENTS/OUTLINE

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.  

PDF UPLOAD

http://abstract.rsna.org/uploads/2014/14005077/14005077_6at1.pdf

Cite This Abstract

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