Details

Autor(en) / Beteiligte

• Lemarignier, Charles
• Martineau, Antoine
• Teixeira, Luis
• Vercellino, Laetitia
• Espié, Marc
• Merlet, Pascal
• Groheux, David

Titel

Correlation between tumour characteristics, SUV measurements, metabolic tumour volume, TLG and textural features assessed with 18F-FDG PET in a large cohort of oestrogen receptor-positive breast cancer patients

Ist Teil von

• European journal of nuclear medicine and molecular imaging, 2017-07, Vol.44 (7), p.1145-1154

Ort / Verlag

Berlin/Heidelberg: Springer Berlin Heidelberg

Erscheinungsjahr

2017

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Purpose 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 an 18 F-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 SUV max and 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. SUV max and 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 SUV max and TLG were able to predict response to NAC, TFs failed.