血液学参数和[18F]FDG PET/CT代谢参数对头颈部癌症的预后价值。

Álvaro Baena García , Jose Rafael Infante de la Torre , Raquel Barco Carbonero , Andrés Martínez Esteve , Victoria Vera Barragan , Justo Serrano Vicente , Pedro Jiménez Granero , Ana Utrera Costero
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引用次数: 0

摘要

目的:确定中性粒细胞/淋巴细胞(N/L)和血小板/淋巴细胞(P/L)比值以及定量[18F]FDG PET/CT参数作为总生存率(OS)的预后因素的有用性,头颈部鳞状细胞癌(HyN)患者的癌症特异性生存率(CSS)和无进展生存率(PFS)。材料和方法:在8年的时间间隔内,对66例诊断为HyN癌的患者(56名男性)进行回顾性评估。诊断时根据PET/CT研究确定最大SUV(SUVmax)、代谢肿瘤体积(MTV)和总损伤糖酵解(TLG)参数。放化疗治疗后,评估患者的生存率。Cox回归模型和Kaplan-Meier方法用于分析预后因素和生存曲线。结果:中位随访时间为50.4个月,39例复发进展,39例死亡。在单变量分析中,除SUVmax外,代谢参数是所有三种存活率的预测因素,这两个血液参数可预测OS和EFS。TLG是多变量分析中唯一的预测因素。代谢参数的三条生存曲线和N/L比的OS曲线显著不同。N/L比、MTV和TLG之间存在相关性。P/L比值与代谢参数之间没有相关性。结论:血液学和代谢标志物的使用将有助于识别复发和por生存风险高的患者,并通过应用更积极的治疗来个性化治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognostic value of haematological parameters and [18F]FDG PET/CT metabolic parameters in head and neck cancer

Aim

To determine the usefulness of neutrophil/lymphocyte (N/L) and platelet/lymphocyte (P/L) ratios as well as quantitative [18F]FDG PET/CT parameters as prognostic factors for overall survival (OS), cancer-specific survival (CSS) and progression-free survival (PFS) in patients with head and neck squamous cell carcinoma (HyN).

Material and methods

Sixty-six patients (56 men) diagnosed with HyN carcinoma were retrospectively assessed over an 8-year interval. Maximum SUV (SUVmax), metabolic tumour volume (MTV) and total lesion glycolysis (TLG) parameters were determined from the PET/CT study at diagnosis. After treatment with chemoradiotherapy, patient survival was assessed. The Cox regression model and the Kaplan–Meier method were used to analyse prognostic factors and survival curves.

Results

Median follow-up was 50.4 months, with 39 recurrences-progressions and 39 deaths. In the univariate analysis, metabolic parameters, except SUVmax, were predictive factors for all three survivals and the two blood parameters were predictive for OS and EFS. TLG was the only predictive factor in the multivariate analysis. The three survival curves were significantly different for the metabolic parameters and the OS curve for the N/L ratio. Correlations were seen between N/L ratio, MTV and TLG. No correlations were demonstrated between P/L ratio and metabolic parameters.

Conclusion

The use of haematological and metabolic markers would allow to identify patients with a high risk of recurrences and por survival and to individualise treatment by applying more aggressive therapies.

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