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首页> 外文期刊>British Journal of Cancer >Evaluation of FLT-PET-CT as an imaging biomarker of proliferation in primary breast cancer
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Evaluation of FLT-PET-CT as an imaging biomarker of proliferation in primary breast cancer

机译：评价FLT-PET-CT作为原发性乳腺癌增殖的影像学标志物

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Background: [~(18)F]fluorothymidine (FLT) has been proposed as a positron emission tomography (PET)-imaging biomarker of proliferation for breast cancer. The aim of this prospective study was to assess the feasibility of FLT-PET-CT as a technique for predicting the response to neoadjuvant chemotherapy (NAC) in primary breast cancer and to compare baseline FLT with Ki-67.Methods: Twenty women with primary breast cancer had a baseline FLT-PET-CT scan that was repeated before the second cycle of chemotherapy. Expression of Ki-67 in the diagnostic biopsy was quantified. From the FLT-PET-CT scans lesion maximum and mean standardised uptake values (SUV_(max), SUV_(mean)) were calculated.Results: Mean baseline SUV_(max) was 7.3, and 4.62 post one cycle of NAC, representing a drop of 2.68 (36.3%). There was no significant association between baseline, post chemotherapy, or change in SUV_(max) and pathological response to NAC. There was a significant correlation between pre-chemotherapy Ki-67 and SUV_(max) of 0.604 ( P =0.006).Conclusions: Baseline SUV_(max) measurements of FLT-PET-CT were significantly related to Ki-67 suggesting that it is a proliferation biomarker. However, in this series neither the baseline value nor the change in SUV_(max) after one cycle of NAC were able to predict response as most patients had a sizeable SUV_(max) reduction.
机译：背景：[〜（18）F]氟胸苷（FLT）已被提出作为正电子发射断层扫描（PET）成像的乳腺癌增殖生物标志物。这项前瞻性研究的目的是评估FLT-PET-CT作为预测原发性乳腺癌对新辅助化疗（NAC）反应的技术的可行性，并将基线FLT与Ki-67进行比较。方法：20名原发性女性乳腺癌的基线FLT-PET-CT扫描在第二个化疗周期之前重复进行。定量诊断性活检中Ki-67的表达。从FLT-PET-CT扫描中计算出病变的最大和平均标准化摄取值（SUV_（max），SUV_（mean））。结果：NAC的一个周期后，平均基线SUV_（max）为7.3和4.62，代表下降2.68（36.3％）。基线，化疗后或SUV_（max）变化与对NAC的病理反应之间无显着关联。化学治疗前Ki-67与SUV_（max）为0.604有显着相关性（P = 0.006）。增殖生物标志物。但是，在该系列中，基线值或一个NAC周期后SUV_（max）的变化均无法预测反应，因为大多数患者的SUV_（max）降低幅度都很大。

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