Do clinical, histological or immunohistochemical primary tumour characteristics translate into different (18)F-FDG PET/CT volumetric and heterogeneity features in stage II/III breast cancer?

The aim of this retrospective study was to determine if some features of baseline (18)F-FDG PET images, including volume and heterogeneity, reflect clinical, histological or immunohistochemical characteristics in patients with stage II or III breast cancer (BC). Included in the present retrospective...

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Bibliographic Details
Published in:European journal of nuclear medicine and molecular imaging 2015-10, Vol.42 (11), p.1682-1691
Main Authors: Groheux, David, Majdoub, Mohamed, Tixier, Florent, Le Rest, Catherine Cheze, Martineau, Antoine, Merlet, Pascal, Espié, Marc, de Roquancourt, Anne, Hindié, Elif, Hatt, Mathieu, Visvikis, Dimitris
Format: Article
Language:English
Subjects:
Breast Neoplasms - diagnosis
Breast Neoplasms - metabolism
Breast Neoplasms - pathology
Female
Fluorodeoxyglucose F18
Humans
Immunohistochemistry
Middle Aged
Multimodal Imaging
Positron-Emission Tomography
Prognosis
Retrospective Studies
Tomography, X-Ray Computed
Tumor Burden
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Summary:The aim of this retrospective study was to determine if some features of baseline (18)F-FDG PET images, including volume and heterogeneity, reflect clinical, histological or immunohistochemical characteristics in patients with stage II or III breast cancer (BC). Included in the present retrospective analysis were 171 prospectively recruited patients with stage II/III BC treated consecutively at Saint-Louis hospital. Primary tumour volumes were semiautomatically delineated on pretreatment (18)F-FDG PET images. The parameters extracted included SUVmax, SUVmean, metabolically active tumour volume (MATV), total lesion glycolysis (TLG) and heterogeneity quantified using the area under the curve of the cumulative histogram and textural features. Associations between clinical/histopathological characteristics and (18)F-FDG PET features were assessed using one-way analysis of variance. Areas under the ROC curves (AUC) were used to quantify the discriminative power of the features significantly associated with clinical/histopathological characteristics. T3 tumours (>5 cm) exhibited higher textural heterogeneity in (18)F-FDG uptake than T2 tumours (AUC
ISSN:1619-7089
DOI:10.1007/s00259-015-3110-x