18F-FDG PET/CT 中的全肿瘤代谢异质性是神经母细胞瘤的新型预后标志物。

IF 3.5 2区 医学 Q2 ONCOLOGY Cancer Imaging Pub Date : 2024-06-11 DOI:10.1186/s40644-024-00718-3
Jun Liu, Qinghua Ren, Haonan Xiao, Siqi Li, Lingling Zheng, Xu Yang, Lijuan Feng, Ziang Zhou, Huanmin Wang, Jigang Yang, Wei Wang
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引用次数: 0

摘要

背景:神经母细胞瘤(NB)是一种高度异质性肿瘤:神经母细胞瘤(NB)是一种高度异质性肿瘤,半数以上新确诊的 NB 患者伴有广泛转移。准确描述全身肿瘤病灶的异质性仍是临床挑战。本研究旨在量化来自全身肿瘤病灶的全身肿瘤代谢异质性(WMH),并探讨WMH在NB中的预后价值:方法:我们回顾性地纳入了我科95例新确诊的儿科NB患者。测量了传统的半定量 PET/CT 参数,包括最大标准化摄取值(SUVmax)、平均标准化摄取值(SUVmean)、峰值标准化摄取值(SUVpeak)、代谢肿瘤体积(MTV)和病变总糖酵解(TLG)。原发肿瘤的 PET/CT 参数用 PSUVmax、PSUVmean、PSUVpeak、PMTV、PTLG 表示,全身肿瘤病灶的 PET/CT 参数用 WSUVmax、WSUVmean、WSUVpeak、WMTV、WTLG 表示。代谢异质性采用累积 SUV 容量直方图指数曲线下面积(AUC-CSH 指数)进行量化。瘤内代谢异质性(IMH)和WMH分别从原发肿瘤和全身肿瘤病灶中提取。结果终点为总生存期(OS)和无进展生存期(PFS)。生存期分析采用单变量和多变量考克斯比例危险回归法。代谢参数的最佳临界值由接收者操作特征曲线(ROC)得出:在随访期间,27 例(28.4%)患者死亡,21 例(22.1%)患者复发,47 例(49.5%)患者保持无进展生存,中位随访时间为 35.0 个月。在生存分析中,WMTV和WTLG是PFS的独立指标,WMH是PFS和OS的独立危险因素。然而,IMH仅与PFS和OS相关。除代谢参数外,国际神经母细胞瘤分期系统(INSS)也被确定为PFS的独立风险因素,神经元特异性烯醇化酶(NSE)是OS的独立预测因子:结论:WMH是影响PFS和OS的独立危险因素,表明其有可能成为新诊断NB患者的新型预后标志物。
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Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma.

Background: Neuroblastoma (NB) is a highly heterogeneous tumor, and more than half of newly diagnosed NB are associated with extensive metastases. Accurately characterizing the heterogeneity of whole-body tumor lesions remains clinical challenge. This study aims to quantify whole-tumoral metabolic heterogeneity (WMH) derived from whole-body tumor lesions, and investigate the prognostic value of WMH in NB.

Methods: We retrospectively enrolled 95 newly diagnosed pediatric NB patients in our department. Traditional semi-quantitative PET/CT parameters including the maximum standardized uptake value (SUVmax), the mean standardized uptake value (SUVmean), the peak standardized uptake value (SUVpeak), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were measured. These PET/CT parameters were expressed as PSUVmax, PSUVmean, PSUVpeak, PMTV, PTLG for primary tumor, WSUVmax, WSUVmean, WSUVpeak, WMTV, WTLG for whole-body tumor lesions. The metabolic heterogeneity was quantified using the areas under the curve of the cumulative SUV-volume histogram index (AUC-CSH index). Intra-tumoral metabolic heterogeneity (IMH) and WMH were extracted from primary tumor and whole-body tumor lesions, respectively. The outcome endpoints were overall survival (OS) and progression-free survival (PFS). Survival analysis was performed utilizing the univariate and multivariate Cox proportional hazards regression. The optimal cut-off values for metabolic parameters were obtained by receiver operating characteristic curve (ROC).

Results: During follow up, 27 (28.4%) patients died, 21 (22.1%) patients relapsed and 47 (49.5%) patients remained progression-free survival, with a median follow-up of 35.0 months. In survival analysis, WMTV and WTLG were independent indicators of PFS, and WMH was an independent risk factor of PFS and OS. However, IMH only showed association with PFS and OS. In addition to metabolic parameters, the International Neuroblastoma Staging System (INSS) was identified as an independent risk factor for PFS, and neuron-specific enolase (NSE) served as an independent predictor of OS.

Conclusion: WMH was an independent risk factor for PFS and OS, suggesting its potential as a novel prognostic marker for newly diagnosed NB patients.

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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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