title: Correlation between tumour characteristics, SUV measurements, metabolic tumour volume, TLG and textural features assessed with18F-FDG PET in a large cohort of oestrogen receptor-positive breast cancer patients.
abstract: OBJECTIVE
  The study was designed to evaluate 1) the relationship between PET image textural features (TFs) and SUVs, metabolic tumour volume (MTV), total lesion glycolysis (TLG) and tumour characteristics in a large prospective and homogenous cohort of oestrogen receptor-positive (ER+) breast cancer (BC) patients, and 2) the capability of those parameters to predict response to neoadjuvant chemotherapy (NAC).
  
  
  METHODS
  171 consecutive patients with large or locally advanced ER+ BC without distant metastases underwent an18F-FDG PET examination before NAC. The primary tumour was delineated with an adaptive threshold segmentation method. Parameters of volume, intensity and texture (entropy, homogeneity, contrast and energy) were measured and compared with tumour characteristics determined on pre-treatment breast biopsy (Wilcoxon rank-sum test). The correlation between PET-derived parameters was determined using Spearman's coefficient. The relationship between PET features and pathological findings was determined using the Wilcoxon rank-sum test.
  
  
  RESULTS
  Spearman's coefficients between SUVmaxand TFs were 0.43, 0.24, -0.43 and -0.15 respectively for entropy, homogeneity, energy and contrast; they were higher between MTV and TFs: 0.99, 0.86, -0.99 and -0.87. All TFs showed a significant association with the histological type (IDC vs. ILC; 0.02 < P < 0.03) but didn't with immunohistochemical characteristics. SUVmaxand TLG predicted the pathological response (P = 0.0021 and P = 0.02 respectively); TFs didn't (P: 0.27, 0.19, 0.94, 0.19 respectively for entropy, homogeneity, energy and contrast).
  
  
  CONCLUSIONS
  The correlation of TFs was poor with SUV parameters and high with MTV. TFs showed a significant association with the histological type. Finally, while SUVmaxand TLG were able to predict response to NAC, TFs failed.
authors.affiliation: Department of Nuclear Medicine, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, 1 avenue Claude Vellefaux, 75475, Paris Cedex 10, France. charles.lemarignier@aphp.fr.|University Sorbonne Paris Cité, INSERM/CNRS UMR944/7212, Paris, France. charles.lemarignier@aphp.fr.
authors.forename: Charles
authors.identifier: http://orcid.org/0000-0003-2346-0678
authors.initials: C
authors.lastname: Lemarignier
authors.affiliation: Department of Nuclear Medicine, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, 1 avenue Claude Vellefaux, 75475, Paris Cedex 10, France.
authors.forename: Antoine
authors.initials: A
authors.lastname: Martineau
authors.affiliation: Breast Diseases Unit, Saint-Louis Hospital, Paris, France.|University Sorbonne Paris Cité, INSERM/CNRS UMR944/7212, Paris, France.
authors.forename: Luis
authors.initials: L
authors.lastname: Teixeira
authors.affiliation: Department of Nuclear Medicine, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, 1 avenue Claude Vellefaux, 75475, Paris Cedex 10, France.
authors.forename: Laetitia
authors.initials: L
authors.lastname: Vercellino
authors.affiliation: Breast Diseases Unit, Saint-Louis Hospital, Paris, France.|University Sorbonne Paris Cité, INSERM/CNRS UMR944/7212, Paris, France.
authors.forename: Marc
authors.initials: M
authors.lastname: Espié
authors.affiliation: Department of Nuclear Medicine, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, 1 avenue Claude Vellefaux, 75475, Paris Cedex 10, France.
authors.forename: Pascal
authors.initials: P
authors.lastname: Merlet
authors.affiliation: Department of Nuclear Medicine, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, 1 avenue Claude Vellefaux, 75475, Paris Cedex 10, France.|University Sorbonne Paris Cité, INSERM/CNRS UMR944/7212, Paris, France.
authors.forename: David
authors.initials: D
authors.lastname: Groheux
mesh_terms: D000328:Adult; D000368:Aged; D001692:Biological Transport; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000378:metabolism* / Q000473:pathology / Q000628:therapy; D015331:Cohort Studies; D005260:Female; D019788:Fluorodeoxyglucose F18 / Q000378:metabolism*; D006801:Humans; D008297:Male; D008875:Middle Aged; D020360:Neoadjuvant Therapy; D000072078:Positron Emission Tomography Computed Tomography; D011960:Receptors, Estrogen / Q000378:metabolism*; D047368:Tumor Burden
chemical_list: D011960:Receptors, Estrogen; D019788:Fluorodeoxyglucose F18
keywords: 18F-FDG PET; Breast cancer; Metabolic tumour volume; Oestrogen receptor-positive tumour; Texture features; Total lesion glycolysis