• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

肺癌中 18F-氟咪索硝唑和 3'-去氧-3'-18F-氟胸腺嘧啶 PET 图像的定性分析和肿瘤勾画的观察者间一致性。

Interobserver agreement of qualitative analysis and tumor delineation of 18F-fluoromisonidazole and 3'-deoxy-3'-18F-fluorothymidine PET images in lung cancer.

机构信息

Nuclear Medicine and Radiotherapy, Henri Becquerel Cancer Center and Rouen University Hospital, and QuantIF-LITIS (EA [Equipe d'Accueil] 4108), Faculty of Medicine, University of Rouen, Rouen, France.

出版信息

J Nucl Med. 2013 Sep;54(9):1543-50. doi: 10.2967/jnumed.112.118083. Epub 2013 Aug 5.

DOI:10.2967/jnumed.112.118083
PMID:23918733
Abstract

UNLABELLED

As the preparation phase of a multicenter clinical trial using (18)F-fluoro-2-deoxy-d-glucose ((18)F-FDG), (18)F-fluoromisonidazole ((18)F-FMISO), and 3'-deoxy-3'-(18)F-fluorothymidine ((18)F-FLT) in non-small cell lung cancer (NSCLC) patients, we investigated whether 18 nuclear medicine centers would score tracer uptake intensity similarly and define hypoxic and proliferative volumes for 1 patient and we compared different segmentation methods.

METHODS

Ten (18)F-FDG, ten (18)F-FMISO, and ten (18)F-FLT PET/CT examinations were performed before and during curative-intent radiotherapy in 5 patients with NSCLC. The gold standards for uptake intensity and volume delineation were defined by experts. The between-center agreement (18 nuclear medicine departments connected with a dedicated network, SFMN-net [French Society of Nuclear Medicine]) in the scoring of uptake intensity (5-level scale, then divided into 2 levels: 0, normal; 1, abnormal) was quantified by κ-coefficients (κ). The volumes defined by different physicians were compared by overlap and κ. The uptake areas were delineated with 22 different methods of segmentation, based on fixed or adaptive thresholds of standardized uptake value (SUV).

RESULTS

For uptake intensity, the κ values between centers were, respectively, 0.59 for (18)F-FDG, 0.43 for (18)F-FMISO, and 0.44 for (18)F-FLT using the 5-level scale; the values were 0.81 for (18)F-FDG and 0.77 for both (18)F-FMISO and (18)F-FLT using the 2-level scale. The mean overlap and mean κ between observers were 0.13 and 0.19, respectively, for (18)F-FMISO and 0.2 and 0.3, respectively, for (18)F-FLT. The segmentation methods yielded significantly different volumes for (18)F-FMISO and (18)F-FLT (P < 0.001). In comparison with physicians, the best method found was 1.5 × maximum SUV (SUVmax) of the aorta for (18)F-FMISO and 1.3 × SUVmax of the muscle for (18)F-FLT. The methods using the SUV of 1.4 and the method using 1.5 × the SUVmax of the aorta could be used for (18)F-FMISO and (18)F-FLT. Moreover, for (18)F-FLT, 2 other methods (adaptive threshold based on 1.5 or 1.6 × muscle SUVmax) could be used.

CONCLUSION

The reproducibility of the visual analyses of (18)F-FMISO and (18)F-FLT PET/CT images was demonstrated using a 2-level scale across 18 centers, but the interobserver agreement was low for the (18)F-FMISO and (18)F-FLT volume measurements. Our data support the use of a fixed threshold (1.4) or an adaptive threshold using the aorta background to delineate the volume of increased (18)F-FMISO or (18)F-FLT uptake. With respect to the low tumor-on-background ratio of these tracers, we suggest the use of a fixed threshold (1.4).

摘要

目的

在使用(18)F-氟代脱氧葡萄糖((18)F-FDG)、(18)F-氟米索硝唑((18)F-FMISO)和 3'-脱氧-3' -(18)F-氟胸苷((18)F-FLT)对非小细胞肺癌(NSCLC)患者进行多中心临床试验的准备阶段,我们研究了 18 个核医学中心是否会对示踪剂摄取强度进行类似评分,并为 1 名患者定义缺氧和增殖体积,我们比较了不同的分割方法。

方法

在 5 名 NSCLC 患者接受根治性放疗前和放疗期间进行了 10 次(18)F-FDG、10 次(18)F-FMISO 和 10 次(18)F-FLT PET/CT 检查。摄取强度的金标准由专家定义。通过κ系数(κ)量化了 18 个核医学部门(通过专用网络 SFMN-net [法国核医学学会] 连接)之间在评分摄取强度(5 级量表,然后分为 2 个级别:0,正常;1,异常)方面的中心间一致性。不同医生定义的体积通过重叠和κ进行比较。摄取区域根据标准化摄取值(SUV)的固定或自适应阈值,用 22 种不同的分割方法进行勾画。

结果

对于摄取强度,中心之间的κ值分别为(18)F-FDG 的 0.59、(18)F-FMISO 的 0.43 和(18)F-FLT 的 0.44,使用 5 级量表;(18)F-FDG 的值为 0.81,(18)F-FMISO 和(18)F-FLT 的值均为 0.77,使用 2 级量表。(18)F-FMISO 和(18)F-FLT 之间观察者的平均重叠和平均κ分别为 0.13 和 0.19,0.2 和 0.3。分割方法为(18)F-FMISO 和(18)F-FLT 生成了显著不同的体积(P < 0.001)。与医生相比,发现最好的方法是(18)F-FMISO 的主动脉最大 SUV(SUVmax)的 1.5 倍和(18)F-FLT 的肌肉 SUVmax 的 1.3 倍。可以使用 SUV 为 1.4 的方法和使用主动脉 SUVmax 的 1.5 倍的方法来测量(18)F-FMISO 和(18)F-FLT。此外,对于(18)F-FLT,还可以使用另外 2 种方法(基于 1.5 或 1.6×肌肉 SUVmax 的自适应阈值)。

结论

在使用 18 个中心的 2 级量表对(18)F-FMISO 和(18)F-FLT PET/CT 图像的视觉分析进行了重现性验证,但(18)F-FMISO 和(18)F-FLT 体积测量的观察者间一致性较低。我们的数据支持使用固定阈值(1.4)或使用主动脉背景的自适应阈值来勾画(18)F-FMISO 或(18)F-FLT 摄取增加的体积。鉴于这些示踪剂的肿瘤与背景的低比值,我们建议使用固定阈值(1.4)。

相似文献

1
Interobserver agreement of qualitative analysis and tumor delineation of 18F-fluoromisonidazole and 3'-deoxy-3'-18F-fluorothymidine PET images in lung cancer.肺癌中 18F-氟咪索硝唑和 3'-去氧-3'-18F-氟胸腺嘧啶 PET 图像的定性分析和肿瘤勾画的观察者间一致性。
J Nucl Med. 2013 Sep;54(9):1543-50. doi: 10.2967/jnumed.112.118083. Epub 2013 Aug 5.
2
Comparison of Hypermetabolic and Hypoxic Volumes Delineated on [F]FDG and [F]Fluoromisonidazole PET/CT in Non-small-cell Lung Cancer Patients.比较[F]FDG 和 [F]氟米索硝唑 PET/CT 勾画的非小细胞肺癌患者高代谢和低氧体积。
Mol Imaging Biol. 2020 Jun;22(3):764-771. doi: 10.1007/s11307-019-01422-6.
3
Simultaneous positron emission tomography (PET) assessment of metabolism with ¹⁸F-fluoro-2-deoxy-d-glucose (FDG), proliferation with ¹⁸F-fluoro-thymidine (FLT), and hypoxia with ¹⁸fluoro-misonidazole (F-miso) before and during radiotherapy in patients with non-small-cell lung cancer (NSCLC): a pilot study.在非小细胞肺癌(NSCLC)患者中,在放疗前和放疗期间同时进行¹⁸F-氟代脱氧葡萄糖(FDG)代谢、¹⁸F-氟代胸腺嘧啶(FLT)增殖和¹⁸F- 米妥唑胺(F-miso)缺氧的正电子发射断层扫描(PET)评估:一项初步研究。
Radiother Oncol. 2011 Jan;98(1):109-16. doi: 10.1016/j.radonc.2010.10.011. Epub 2010 Nov 4.
4
Repeatability of metabolically active volume measurements with 18F-FDG and 18F-FLT PET in non-small cell lung cancer.18F-FDG 和 18F-FLT PET 代谢活跃体积测量在非小细胞肺癌中的重复性。
J Nucl Med. 2010 Dec;51(12):1870-7. doi: 10.2967/jnumed.110.077255. Epub 2010 Nov 15.
5
Ex-vivo biodistribution and micro-PET/CT imaging of 18F-FDG, 18F-FLT, 18F-FMISO, and 18F-AlF-NOTA-PRGD2 in a prostate tumor-bearing nude mouse model.18F-FDG、18F-FLT、18F-FMISO和18F-AlF-NOTA-PRGD2在荷前列腺肿瘤裸鼠模型中的体外生物分布及微型PET/CT成像
Nucl Med Commun. 2015 Sep;36(9):914-21. doi: 10.1097/MNM.0000000000000339.
6
Exploring spatial overlap of high-uptake regions derived from dual tracer positron emission tomography-computer tomography imaging using 18F-fluorodeoxyglucose and 18F-fluorodeoxythymidine in nonsmall cell lung cancer patients: a prospective pilot study.利用18F-氟脱氧葡萄糖和18F-氟脱氧胸苷对非小细胞肺癌患者进行双示踪正电子发射断层扫描-计算机断层扫描成像,探索高摄取区域的空间重叠:一项前瞻性初步研究。
Medicine (Baltimore). 2015 May;94(17):e678. doi: 10.1097/MD.0000000000000678.
7
Lack of correlation of hypoxic cell fraction and angiogenesis with glucose metabolic rate in non-small cell lung cancer assessed by 18F-Fluoromisonidazole and 18F-FDG PET.通过18F-氟米索硝唑和18F-氟代脱氧葡萄糖PET评估非小细胞肺癌中缺氧细胞分数和血管生成与葡萄糖代谢率之间缺乏相关性。
J Nucl Med. 2006 Dec;47(12):1921-6.
8
Correlation of 18F-FLT and 18F-FDG uptake on PET with Ki-67 immunohistochemistry in non-small cell lung cancer.非小细胞肺癌中PET上18F-FLT和18F-FDG摄取与Ki-67免疫组化的相关性
Eur J Nucl Med Mol Imaging. 2007 Oct;34(10):1610-6. doi: 10.1007/s00259-007-0449-7. Epub 2007 May 26.
9
FDG-PET-based differential uptake volume histograms: a possible approach towards definition of biological target volumes.基于氟代脱氧葡萄糖正电子发射断层扫描的差异摄取体积直方图:一种定义生物靶区的可能方法。
Br J Radiol. 2016 Jun;89(1062):20150388. doi: 10.1259/bjr.20150388. Epub 2016 Mar 23.
10
Quantitative analysis of response to treatment with erlotinib in advanced non-small cell lung cancer using 18F-FDG and 3'-deoxy-3'-18F-fluorothymidine PET.使用 18F-FDG 和 3'-脱氧-3'-18F-氟胸苷 PET 对晚期非小细胞肺癌厄洛替尼治疗反应的定量分析。
J Nucl Med. 2011 Dec;52(12):1871-7. doi: 10.2967/jnumed.111.094458. Epub 2011 Nov 7.

引用本文的文献

1
Hypoxia predicts favorable response to carbon ion radiotherapy in non-small cell lung cancer (NSCLC) defined by F-FMISO positron emission tomography/computed tomography (PET/CT) imaging.缺氧可预测非小细胞肺癌(NSCLC)患者对碳离子放疗的良好反应,这一反应由F-FMISO正电子发射断层扫描/计算机断层扫描(PET/CT)成像定义。
Quant Imaging Med Surg. 2024 May 1;14(5):3489-3500. doi: 10.21037/qims-23-1685. Epub 2024 Apr 26.
2
New developments in the imaging of lung cancer.肺癌成像的新进展。
Breathe (Sheff). 2024 Mar;20(1):230176. doi: 10.1183/20734735.0176-2023. Epub 2024 Apr 9.
3
A Review of Hypoxia Imaging Using 18F-Fluoromisonidazole Positron Emission Tomography.
氟-18-氟咪索硝唑正电子发射断层扫描在缺氧成像中的应用评价。
Methods Mol Biol. 2024;2755:133-140. doi: 10.1007/978-1-0716-3633-6_9.
4
Novel Targets, Novel Treatments: The Changing Landscape of Non-Small Cell Lung Cancer.新型靶点与新型疗法:非小细胞肺癌不断变化的格局
Cancers (Basel). 2023 May 21;15(10):2855. doi: 10.3390/cancers15102855.
5
Hotspot on 18F-FET PET/CT to Predict Aggressive Tumor Areas for Radiotherapy Dose Escalation Guiding in High-Grade Glioma.18F-FET PET/CT上的热点用于预测高级别胶质瘤放疗剂量递增引导中的侵袭性肿瘤区域
Cancers (Basel). 2022 Dec 23;15(1):98. doi: 10.3390/cancers15010098.
6
Timing of hypoxia PET/CT imaging after 18F-fluoromisonidazole injection in non-small cell lung cancer patients.非小细胞肺癌患者注射 18F-氟咪索硝唑后行缺氧正电子发射断层扫描/计算机断层扫描成像的时机。
Sci Rep. 2022 Dec 16;12(1):21746. doi: 10.1038/s41598-022-26199-7.
7
Joint EANM/SNMMI/ESTRO practice recommendations for the use of 2-[F]FDG PET/CT external beam radiation treatment planning in lung cancer V1.0.《EANM/SNMMI/ESTRO 联合实践推荐:在肺癌外照射放射治疗计划中使用 2-[F]FDG PET/CT V1.0》
Eur J Nucl Med Mol Imaging. 2022 Mar;49(4):1386-1406. doi: 10.1007/s00259-021-05624-5. Epub 2022 Jan 13.
8
Imaging of Tumor Hypoxia With Radionuclide-Labeled Tracers for PET.用于正电子发射断层显像(PET)的放射性核素标记示踪剂对肿瘤缺氧的成像
Front Oncol. 2021 Sep 7;11:731503. doi: 10.3389/fonc.2021.731503. eCollection 2021.
9
First Comparison between [18f]-FMISO and [18f]-Faza for Preoperative Pet Imaging of Hypoxia in Lung Cancer.[18F]-氟代米索与[18F]-法扎在肺癌术前缺氧正电子发射断层显像中的首次比较。
Cancers (Basel). 2021 Aug 14;13(16):4101. doi: 10.3390/cancers13164101.
10
Hypoxia in Lung Cancer Management: A Translational Approach.肺癌治疗中的缺氧:一种转化医学方法。
Cancers (Basel). 2021 Jul 8;13(14):3421. doi: 10.3390/cancers13143421.