Published July 2019 | Version v1
Journal article

Soft-tissue fat tumours: differentiating malignant from benign using proton density fat fraction quantification MRI

  • 1. Department of Neuroradiology, Karolinska University Hospital, Solna, Stockholm (Sweden)
  • 2. Department of Molecular Medicine and Surgery, Karolinska Institutet, Solnavägen 1, 171 77, Stockholm (Sweden)
  • 3. Department of Clinical Neuroscience, Karolinska Institutet, Stockholm (Sweden)
  • 4. Department of Radiation Sciences, Radiation Physics, Umeå University, Umeå (Sweden)
  • 5. Department of Orthopaedic Surgery, Karolinska University Hospital, Solna, Stockholm (Sweden)

Description

Highlights: • PDFF can safely differentiate between malignant and benign fat tumors. • ALT and non-classical lipomas cannot be separated using PDFF, FAC or texture analysis. • PDFF helps in selecting which fat tumors should promptly be referred to a sarcoma center. -- Abstract: To evaluate if quantifying proton density fat fraction (PDFF) would be useful in separating lipoma, atypical lipomatous tumour (ALT) and liposarcoma in the extremities and trunk. In addition, differentiating ALT versus non-classical lipomas using magnetic resonance imaging (MRI)-based fatty acid composition (FAC) and three-dimensional (3D) texture analysis was tested.

Additional details

Identifiers

DOI
10.1016/j.crad.2019.01.011;
PII
S000992601930073X;

Publishing Information

Journal Title
Clinical Radiology
Journal Volume
74
Journal Issue
7
Journal Page Range
p. 534-538
ISSN
0009-9260
CODEN
CLRAAG

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55054909
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ANIMAL TISSUES; CARBOXYLIC ACIDS; FATS; NMR IMAGING; PROTON DENSITY; SARCOMAS; TEXTURE
Descriptors DEC
BODY; DIAGNOSTIC TECHNIQUES; DISEASES; NEOPLASMS; ORGANIC ACIDS; ORGANIC COMPOUNDS

Optional Information

Copyright
Copyright (c) 2019 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.