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Nuclear medicine communications · 2019

The ability of pre-treatment F-18 FDG PET/CT metabolic parameters for predicting axillary lymph node and distant metastasis and overall survival.

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Yilmaz Burcak, Dağ Sedef, Ergul Nurhan, Çermik Tevfik Fikret

Аннотация

INTRODUCTION: The current study aimed to investigate the diagnostic performance of metabolic parameters of pre-treatment F-18 fluorodeoxyglucose PET/computed tomography for predicting axillary lymph node metastases, distant metastases, and overall survival rates in breast cancer patients.

MATERIALS AND METHODS: One hundred thirteen breast cancer patients who underwent pre-treatment F18 [FDG] PET-computed tomography with biopsy-proven axillary lymph node status were included in the current study. In pre-treatment F18 [FDG] PET-computed tomography for primary tumour area maximum standard uptake value, metabolic tumour volume, tumour lesion glycolysis, tumour diameter and for axillary lymph nodes maximum standard uptake value-LN were recorded. Also if distant metastatic sites were observed they were verified.

RESULTS: The median follow-up period was 43.8 months. Five-year overall survival was 98% vs. 56% in patients with tumour diameter < vs. ≥22 mm, 93% vs. 50% in patients with maximum standard uptake value-T < vs. ≥6.7, 71% vs. 70% in patients with metabolic tumour volume < vs. ≥8.31cm, 94% vs. 49% in patients with maximum standard uptake value-LN < vs. ≥1.6, 98% vs. 48% in patients with tumour lesion glycolysis < vs. ≥19 084 g/ml × cm, 90% vs. 30% in patients with negative or positive distant metastases in initial PET/computed tomography, respectively. Maximum standard uptake value-LN with a cut-off level of <1.6 and <5.7 had high sensitivity and specificity for predicting axillary lymph node and systemic metastasis, respectively. Additionally, tumour lesion glycolysis was the strongest independent prognostic factor for overall survival.

CONCLUSION: Our data shows that the combination of pre-treatment tumour lesion glycolysis and maximum standard uptake value-LN could improve risk stratification among breast cancer patients.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты