Prognostic value of metabolic tumor volume on [18F]FDG PET/CT in addition to the TNM classification system of locally advanced non-small cell lung cancer.

IF 3.5 2区 医学 Q2 ONCOLOGY
Alexander Brose, Isabelle Miederer, Jochem König, Eleni Gkika, Jörg Sahlmann, Tanja Schimek-Jasch, Mathias Schreckenberger, Ursula Nestle, Jutta Kappes, Matthias Miederer
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引用次数: 0

Abstract

Purpose: Staging of non-small cell lung cancer (NSCLC) is commonly based on [18F]FDG PET/CT, in particular to exclude distant metastases and guide local therapy approaches like resection and radiotherapy. Although it is hoped that PET/CT will increase the value of primary staging compared to conventional imaging, it is generally limited to the characterization of TNM. The first aim of this study was to evaluate the PET parameter metabolic tumor volume (MTV) above liver background uptake as a prognostic marker in lung cancer. The second aim was to investigate the possibility of incorporating MTV into the TNM classification system for disease prognosis in locally advanced NSCLC treated with chemoradiotherapy.

Methods: Retrospective evaluation of 235 patients with histologically proven, locally advanced NSCLC from the multi-centre randomized clinical PETPLAN trial and a clinical cohort from a hospital registry. The PET parameters SUVmax, SULpeak, MTV and TLG above liver background uptake were determined. Kaplan-Meier curves and stratified Cox proportional hazard regression models were used to investigate the prognostic value of PET parameters and TNM along with clinical variables. Subgroup analyses were performed to compare hazard ratios according to TNM, MTV, and the two variables combined.

Results: In the multivariable Cox regression analysis, MTV was associated with significantly worse overall survival independent of stage and other prognostic variables. In locally advanced disease stages treated with chemoradiotherapy, higher MTV was significantly associated with worse survival (median 17 vs. 32 months). Using simple cut-off values (45 ml for stage IIIa, 48 ml for stage IIIb, and 105 ml for stage IIIc), MTV was able to further predict differences in survival for stages IIIa-c. The combination of TNM and MTV staging system showed better discrimination for overall survival in locally advanced disease stages, compared to TNM alone.

Conclusion: Higher metabolic tumor volume is significantly associated with worse overall survival and combined with TNM staging, it provides more precise information about the disease prognosis in locally advanced NSCLC treated with chemoradiotherapy compared to TNM alone. As a PET parameter with volumetric information, MTV represents a useful addition to TNM.

[18F]FDG PET/CT代谢性肿瘤体积与TNM分级系统对局部晚期非小细胞肺癌的预后价值
目的:非小细胞肺癌(NSCLC)的分期通常基于[18F]FDG PET/CT,特别是排除远处转移和指导局部治疗方法,如切除和放疗。虽然人们希望PET/CT能够提高初级分期的价值,但与常规影像学相比,它通常仅限于TNM的表征。本研究的第一个目的是评估PET参数代谢肿瘤体积(MTV)高于肝背景摄取作为肺癌预后标志物。第二个目的是探讨将MTV纳入局部晚期NSCLC放化疗疾病预后的TNM分类系统的可能性。方法:回顾性评估来自多中心随机临床PETPLAN试验和来自医院注册的临床队列的235例组织学证实的局部晚期非小细胞肺癌患者。测定肝背景摄取后的PET参数SUVmax、SULpeak、MTV和TLG。采用Kaplan-Meier曲线和分层Cox比例风险回归模型探讨PET参数和TNM与临床变量的预后价值。进行亚组分析,根据TNM、MTV和两个变量的组合比较风险比。结果:在多变量Cox回归分析中,MTV与与分期和其他预后变量无关的总生存率显著降低相关。在局部晚期疾病接受放化疗时,较高的MTV与较差的生存期显著相关(中位17个月vs. 32个月)。使用简单的临界值(IIIa期45 ml, IIIb期48 ml, IIIc期105 ml), MTV能够进一步预测IIIa-c期的生存差异。与单独TNM相比,TNM联合MTV分期系统对局部晚期疾病的总生存率有更好的区分。结论:较高的代谢性肿瘤体积与较差的总生存期显著相关,并结合TNM分期,与单纯TNM相比,它能更准确地反映局部晚期NSCLC放化疗的疾病预后。作为具有体积信息的PET参数,MTV是对TNM的有用补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancer Imaging
Cancer Imaging ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
7.00
自引率
0.00%
发文量
66
审稿时长
>12 weeks
期刊介绍: Cancer Imaging is an open access, peer-reviewed journal publishing original articles, reviews and editorials written by expert international radiologists working in oncology. The journal encompasses CT, MR, PET, ultrasound, radionuclide and multimodal imaging in all kinds of malignant tumours, plus new developments, techniques and innovations. Topics of interest include: Breast Imaging Chest Complications of treatment Ear, Nose & Throat Gastrointestinal Hepatobiliary & Pancreatic Imaging biomarkers Interventional Lymphoma Measurement of tumour response Molecular functional imaging Musculoskeletal Neuro oncology Nuclear Medicine Paediatric.
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