Soft tissue masses with "cyst-like" appearance on MR imaging: Distinction of benign and malignant lesions

The purpose of this study was to assess the reliability of MR imaging features in distinguishing between benign and malignant soft tissue masses that have a "cyst-like" appearance (hypointense to muscle on T1-weighted and hyperintense on T2-weighted or fluid-sensitive MR sequences). MR ima...

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Bibliographic Details
Published in:European radiology 2006-12, Vol.16 (12), p.2652-2660
Main Authors: Harish, Srinivasan, Lee, Justin C, Ahmad, Muaaze, Saifuddin, Asif
Format: Article
Language:English
Subjects:
Adult
Age
Aged
Aged, 80 and over
Benign
Cysts
Cysts - diagnosis
Diagnosis, Differential
Fascia
Female
Heterogeneity
Homogeneity
Humans
Lesions
Logistic Models
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Malignancy
Medical imaging
Middle Aged
Muscles
Reproducibility of Results
Soft Tissue Neoplasms - diagnosis
Soft Tissue Neoplasms - pathology
Soft tissues
Statistical analysis
Statistics, Nonparametric
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Summary:The purpose of this study was to assess the reliability of MR imaging features in distinguishing between benign and malignant soft tissue masses that have a "cyst-like" appearance (hypointense to muscle on T1-weighted and hyperintense on T2-weighted or fluid-sensitive MR sequences). MR imaging features of 40 patients with histologically proven soft tissue masses (27 benign and 13 malignant lesions) that were hypointense to muscle on T1-weighted and hyperintense on T2-weighted or fluid-sensitive MR sequences were analysed to see if a distinction could be made between benign and malignant lesions. There were 23 females and 17 males (mean age, 56 years; age range, 23-82 years). MR imaging features analysed for statistical significance included lesion size, lesion homogeneity, presence of lobulation, depth in relation to fascia and border definition. Clinical assessment included the age and sex of the patient and location of the lesion. Statistically significant MR imaging features favouring a diagnosis of a malignant lesion included larger average dimension of the mass (P < or = 0.004), larger greatest dimension of the mass (P < or = 0.028) and heterogeneity of the lesion on T1-weighted sequences (P = 0.017). The most statistically significant predictor of malignancy was the larger average dimension of the mass.
ISSN:0938-7994
1432-1084
DOI:10.1007/s00330-006-0267-5