Magnetic resonance imaging texture analysis classification of primary breast cancer.
Eur Radiol
; 26(2): 322-30, 2016 Feb.
Article
in En
| MEDLINE
| ID: mdl-26065395
ABSTRACT
OBJECTIVES:
Patient-tailored treatments for breast cancer are based on histological and immunohistochemical (IHC) subtypes. Magnetic Resonance Imaging (MRI) texture analysis (TA) may be useful in non-invasive lesion subtype classification.METHODS:
Women with newly diagnosed primary breast cancer underwent pre-treatment dynamic contrast-enhanced breast MRI. TA was performed using co-occurrence matrix (COM) features, by creating a model on retrospective training data, then prospectively applying to a test set. Analyses were blinded to breast pathology. Subtype classifications were performed using a cross-validated k-nearest-neighbour (k = 3) technique, with accuracy relative to pathology assessed and receiver operator curve (AUROC) calculated. Mann-Whitney U and Kruskal-Wallis tests were used to assess raw entropy feature values.RESULTS:
Histological subtype classifications were similar across training (n = 148 cancers) and test sets (n = 73 lesions) using all COM features (training 75%, AUROC = 0.816; test 72.5%, AUROC = 0.823). Entropy features were significantly different between lobular and ductal cancers (p < 0.001; Mann-Whitney U). IHC classifications using COM features were also similar for training and test data (training 57.2%, AUROC = 0.754; test 57.0%, AUROC = 0.750). Hormone receptor positive and negative cancers demonstrated significantly different entropy features. Entropy features alone were unable to create a robust classification model.CONCLUSION:
Textural differences on contrast-enhanced MR images may reflect underlying lesion subtypes, which merits testing against treatment response. KEY POINTS ⢠MR-derived entropy features, representing heterogeneity, provide important information on tissue composition. ⢠Entropy features can differentiate between histological and immunohistochemical subtypes of breast cancer. ⢠Differing entropy features between breast cancer subtypes implies differences in lesion heterogeneity. ⢠Texture analysis of breast cancer potentially provides added information for decision making.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Breast Neoplasms
Type of study:
Observational_studies
/
Prognostic_studies
Limits:
Adult
/
Aged
/
Aged80
/
Female
/
Humans
/
Middle aged
Language:
En
Journal:
Eur Radiol
Journal subject:
RADIOLOGIA
Year:
2016
Document type:
Article
Affiliation country:
United kingdom