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适形动态 F-FET PET 示踪剂动力学模型在碳离子放疗前评估复发性高级别胶质瘤患者中的可行性和稳健性。

Feasibility and robustness of dynamic F-FET PET based tracer kinetic models applied to patients with recurrent high-grade glioma prior to carbon ion irradiation.

机构信息

German Cancer Consortium (DKTK), Heidelberg, Germany.

Translational Radiation Oncology, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.

出版信息

Sci Rep. 2018 Oct 3;8(1):14760. doi: 10.1038/s41598-018-33034-5.

DOI:10.1038/s41598-018-33034-5
PMID:30283013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6170489/
Abstract

The aim of this study was to analyze the robustness and diagnostic value of different compartment models for dynamic F-FET PET in recurrent high-grade glioma (HGG). Dynamic F-FET PET data of patients with recurrent WHO grade III (n:7) and WHO grade IV (n: 9) tumors undergoing re-irradiation with carbon ions were analyzed by voxelwise fitting of the time-activity curves with a simplified and an extended one-tissue compartment model (1TCM) and a two-tissue compartment model (2TCM), respectively. A simulation study was conducted to assess robustness and precision of the 2TCM. Parameter maps showed enhanced detail on tumor substructure. Neglecting the blood volume V in the 1TCM yields insufficient results. Parameter K from both 1TCM and 2TCM showed correlation with overall patient survival after carbon ion irradiation (p = 0.043 and 0.036, respectively). The 2TCM yields realistic estimates for tumor blood volume, which was found to be significantly higher in WHO IV compared to WHO III (p = 0.031). Simulations on the 2TCM showed that K yields good accuracy and robustness while k showed lowest stability of all parameters. The 1TCM provides the best compromise between parameter stability and model accuracy; however application of the 2TCM is still feasible and provides a more accurate representation of tracer-kinetics at the cost of reduced robustness. Detailed tracer kinetic analysis of F-FET PET with compartment models holds valuable information on tumor substructures and provides additional diagnostic and prognostic value.

摘要

本研究旨在分析不同分区模型在复发性高级别胶质瘤(HGG)动态 F-FET PET 中的稳健性和诊断价值。对接受碳离子再放疗的复发性 WHO 3 级(n=7)和 WHO 4 级(n=9)肿瘤患者的动态 F-FET PET 数据,通过体素拟合时间-活性曲线,使用简化和扩展的单室模型(1TCM)和双室模型(2TCM)进行分析。通过模拟研究评估 2TCM 的稳健性和精度。参数图显示肿瘤亚结构的细节增强。在 1TCM 中忽略血液体积 V 会导致结果不足。来自 1TCM 和 2TCM 的参数 K 均与碳离子照射后患者的总生存相关(p=0.043 和 0.036)。2TCM 可对肿瘤血容量进行真实估计,在 WHO IV 中明显高于 WHO III(p=0.031)。对 2TCM 的模拟表明,K 具有良好的准确性和稳健性,而 k 是所有参数中最不稳定的。1TCM 在参数稳定性和模型准确性之间提供了最佳折衷;但是,2TCM 的应用仍然可行,并且以降低的稳健性为代价提供了更准确的示踪动力学表示。使用分区模型对 F-FET PET 进行详细的示踪动力学分析可为肿瘤亚结构提供有价值的信息,并提供额外的诊断和预后价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/819dab39f700/41598_2018_33034_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/107c1790c8e5/41598_2018_33034_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/7f36e08286f7/41598_2018_33034_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/4487064f6e3d/41598_2018_33034_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/c1669963032e/41598_2018_33034_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/359195e272fd/41598_2018_33034_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/f09cb7d25a6b/41598_2018_33034_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/57137802b055/41598_2018_33034_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/b38bd65a7227/41598_2018_33034_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/819dab39f700/41598_2018_33034_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/107c1790c8e5/41598_2018_33034_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/7f36e08286f7/41598_2018_33034_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/4487064f6e3d/41598_2018_33034_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/c1669963032e/41598_2018_33034_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/359195e272fd/41598_2018_33034_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/f09cb7d25a6b/41598_2018_33034_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/57137802b055/41598_2018_33034_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/b38bd65a7227/41598_2018_33034_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683a/6170489/819dab39f700/41598_2018_33034_Fig9_HTML.jpg

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