Garcia-Vicente A M, Pérez-Beteta J, Amo-Salas M, Molina D, Jimenez-Londoño G A, Soriano-Castrejón A M, Pena Pardo F J, Martínez-González A
Servicio de Medicina Nuclear, Hospital General Universitario de Ciudad Real, Ciudad Real, España.
Instituto de Matemática Aplicada a la Ciencia y la Ingeniería, Universidad de Castilla-La Mancha, Ciudad Real, España.
Rev Esp Med Nucl Imagen Mol (Engl Ed). 2018 Mar-Apr;37(2):73-79. doi: 10.1016/j.remn.2017.09.002. Epub 2017 Nov 2.
To investigate the usefulness of metabolic variables using F-FDG PET/CT in the prediction of neoadjuvant chemotherapy (NC) response and the prognosis in locally advanced breast cancer (LABC).
Prospective study including 67 patients with LABC, NC indication and a baseline F-FDG PET/CT. After breast tumor segmentation, SUV variables (SUVmax, SUVmean and SUVpeak) and volume-based variables, such as metabolic tumor volume (MTV) and total lesion glycolysis (TLG), were obtained. Tumors were grouped into molecular phenotypes, and classified as responders or non-responders after completion of NC. Disease-free status (DFs), disease-free survival (DFS), and overall survival (OS) were assessed. A univariate and multivariate analysis was performed to study the potential of all variables to predict DFs, DFS, and OS.
Fourteen patients were classified as responders. Median±SD of DFS and OS was 43±15 and 46±13 months, respectively. SUV and TLG showed a significant correlation (p<0.005) with the histological response, with higher values in responders compared to non-responders. MTV and TLG showed a significant association with DFs (p=0.015 and p=0.038 respectively). Median, mean and SD of MTV and TLG for patients with DFs were: 8.90, 13.73, 15.10 and 33.78, and 90.54 and 144.64, respectively. Median, mean and SD of MTV and TLG for patients with non-DFs were: 16.72, 29.70 and 31.09 and 90.89, 210.98 and 382.80, respectively. No significant relationships were observed with SUV variables and DFs. Volume-based variables were significantly associated with OS and DFS, although in multivariate analysis only MTV was related to OS. No SUV variables showed an association with the prognosis.
Volume-based metabolic variables obtained with F-FDG PET/CT, unlike SUV based variables, were good predictors of both neoadjuvant chemotherapy response and prognosis.
探讨使用F-FDG PET/CT的代谢变量在预测局部晚期乳腺癌(LABC)新辅助化疗(NC)反应及预后方面的作用。
前瞻性研究纳入67例有NC指征且有基线F-FDG PET/CT的LABC患者。在进行乳腺肿瘤分割后,获取SUV变量(SUVmax、SUVmean和SUVpeak)以及基于体积的变量,如代谢肿瘤体积(MTV)和总病变糖酵解(TLG)。将肿瘤按分子表型分组,并在NC完成后分为反应者和无反应者。评估无病状态(DFs)、无病生存期(DFS)和总生存期(OS)。进行单因素和多因素分析以研究所有变量预测DFs、DFS和OS的潜力。
14例患者被分类为反应者。DFS和OS的中位数±标准差分别为43±15个月和46±13个月。SUV和TLG与组织学反应呈显著相关性(p<0.005),反应者的值高于无反应者。MTV和TLG与DFs呈显著相关性(分别为p=0.015和p=0.038)。有DFs患者的MTV和TLG的中位数、均值和标准差分别为:8.90、13.73、15.10和33.78,以及90.54和144.64。无DFs患者的MTV和TLG的中位数、均值和标准差分别为:16.72、29.70和31.09,以及90.89、210.98和382.80。未观察到SUV变量与DFs有显著关系。基于体积的变量与OS和DFS显著相关,尽管在多因素分析中只有MTV与OS相关。没有SUV变量与预后相关。
与基于SUV的变量不同,通过F-FDG PET/CT获得的基于体积的代谢变量是新辅助化疗反应和预后的良好预测指标。