• 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

患者神经内分泌肿瘤(NET)全身 Ga-DOTATATE PET/CT 个人采集时间方案:一项可行性研究。

A personal acquisition time regimen of Ga-DOTATATE total-body PET/CT in patients with neuroendocrine tumor (NET): a feasibility study.

机构信息

Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, 200032, Shanghai, P.R. China.

Institute of Nuclear Medicine, Fudan University, Shanghai, 200032, China.

出版信息

Cancer Imaging. 2022 Dec 29;22(1):78. doi: 10.1186/s40644-022-00517-8.

DOI:10.1186/s40644-022-00517-8
PMID:36578034
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9798642/
Abstract

BACKGROUND

The injection activity of tracer, acquisition time, patient-specific photon attenuation, and large body mass, can influence on image quality. Fixed acquisition time and body mass related injection activity in clinical practice results in a large difference in image quality. Thus, this study proposes a patient-specific acquisition time regimen of  Ga-DOTATATE total-body positron emission tomography-computed tomography (PET/CT) to counteract the influence of body mass (BM, kg) on image quality, and acquire an acceptable and constant image of patients with neuroendocrine tumors (NETs).

METHODS

The development cohort consisting of 19 consecutive patients with full activity (88.7-204.9 MBq, 2.0 ± 0.1 MBq/kg) was to establish the acquisition time regimen. The liver SNR (signal-to-noise ratio, SNR) was normalized (SNR) by the product of injected activity (MBq) and acquisition time (min). Fitting of SNR against body mass (BM, kg) in linear correlation was performed. Subjective assessment of image quality was performed using a 5-point Likert scale to determine the acceptable threshold of SNR, and an optimized acquisition regimen based on BM was proposed, and validated its feasibility through the validation cohort of 57 consecutive NET patients with half activity (66.9 ± 11.3 MBq, 1.0 ± 0.1 MBq/kg) and a fixed acquisition time regimen.

RESULTS

The linear correlation (R = 0.63) between SNR and BM (kg) was SNR = -0.01BM + 1.50. The threshold SNR of acceptable image quality was 11.2. The patient-specific variable acquisition time regimen was determined as: t (min) = 125.4/(injective activity)(-0.01*BM + 1.50). Based on that proposed regimen, the average acquisition time for acceptable image quality in the validation cohort was 2.99 ± 0.91 min, ranging from 2.18 to 6.35 min, which was reduced by 36.50% ~ 78.20% compared with the fixed acquisition time of 10 min. Subjective evaluation showed that acceptable image quality could be obtained at 3.00 min in the validation group, with an average subjective score of 3.44 ± 0.53 (kappa = 0.97, 95% CI: 0.96 ~ 0.98). Bland-Altman analysis revealed good agreement between the proposed regimen and the fixed acquisition time cohort.

CONCLUSION

A patient-specific acquisition time regimen was proposed in NET patients in development cohort and validated its feasibility in patients with NETs in validation cohort by  Ga-DOTATATE total-body PET/CT imaging. Based on the proposed regimen, the homogenous image quality with optimal acquisition time was available independent of body mass.

摘要

背景

示踪剂的注射活动、采集时间、患者特有的光子衰减和较大的体重会影响图像质量。在临床实践中,固定的采集时间和与体重相关的示踪剂注射活动会导致图像质量的巨大差异。因此,本研究提出了一种针对 Ga-DOTATATE 全身正电子发射断层扫描-计算机断层扫描(PET/CT)的患者特异性采集时间方案,以抵消体重(kg)对图像质量的影响,并为神经内分泌肿瘤(NETs)患者获得可接受且一致的图像。

方法

由 19 名连续接受全活性(88.7-204.9 MBq,2.0 ± 0.1 MBq/kg)的患者组成的开发队列用于建立采集时间方案。肝 SNR(信噪比,SNR)通过注射活性(MBq)和采集时间(min)的乘积进行归一化(SNR)。进行 SNR 与体重(BM,kg)的线性相关性拟合。使用 5 分制李克特量表进行图像质量的主观评估,以确定可接受 SNR 的阈值,并基于 BM 提出优化的采集方案,然后通过 57 名连续 NET 患者的验证队列进行验证,这些患者接受半活性(66.9 ± 11.3 MBq,1.0 ± 0.1 MBq/kg)和固定采集时间方案。

结果

SNR 与 BM(kg)之间的线性相关性(R=0.63)为 SNR=-0.01BM+1.50。可接受图像质量的阈值 SNR 为 11.2。患者特异性可变采集时间方案确定为:t(min)=125.4/(注射活性)(-0.01*BM+1.50)。基于该方案,验证队列中获得可接受图像质量的平均采集时间为 2.99±0.91 min,范围为 2.18-6.35 min,与固定的 10 min 采集时间相比,减少了 36.50%78.20%。主观评估显示,验证组在 3.00 min 时可获得可接受的图像质量,平均主观评分为 3.44±0.53(kappa=0.97,95%CI:0.960.98)。Bland-Altman 分析表明,该方案与固定采集时间队列之间具有良好的一致性。

结论

通过 Ga-DOTATATE 全身 PET/CT 成像,在开发队列中提出了针对 NET 患者的患者特异性采集时间方案,并在 NET 患者的验证队列中验证了其可行性。基于该方案,可获得与体重无关的同质图像质量和最佳采集时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/156654321539/40644_2022_517_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/5f479c77942c/40644_2022_517_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/ab9c2827b85b/40644_2022_517_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/7518ddd59db4/40644_2022_517_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/eb8110d17980/40644_2022_517_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/b4f8bdcfad09/40644_2022_517_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/1b7d05f805e0/40644_2022_517_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/156654321539/40644_2022_517_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/5f479c77942c/40644_2022_517_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/ab9c2827b85b/40644_2022_517_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/7518ddd59db4/40644_2022_517_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/eb8110d17980/40644_2022_517_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/b4f8bdcfad09/40644_2022_517_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/1b7d05f805e0/40644_2022_517_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3663/9798642/156654321539/40644_2022_517_Fig7_HTML.jpg

相似文献

1
A personal acquisition time regimen of Ga-DOTATATE total-body PET/CT in patients with neuroendocrine tumor (NET): a feasibility study.患者神经内分泌肿瘤(NET)全身 Ga-DOTATATE PET/CT 个人采集时间方案:一项可行性研究。
Cancer Imaging. 2022 Dec 29;22(1):78. doi: 10.1186/s40644-022-00517-8.
2
Can the BMI-based dose regimen be used to reduce injection activity and to obtain a constant image quality in oncological patients by F-FDG total-body PET/CT imaging?基于 BMI 的剂量方案能否用于减少注射活动,并通过 F-FDG 全身 PET/CT 成像获得肿瘤患者的恒定图像质量?
Eur J Nucl Med Mol Imaging. 2021 Dec;49(1):269-278. doi: 10.1007/s00259-021-05462-5. Epub 2021 Jun 29.
3
68Ga-DOTATATE PET/CT, 99mTc-HYNIC-octreotide SPECT/CT, and whole-body MR imaging in detection of neuroendocrine tumors: a prospective trial.68Ga-DOTATATE PET/CT、99mTc-HYNIC-奥曲肽SPECT/CT及全身磁共振成像在神经内分泌肿瘤检测中的应用:一项前瞻性试验
J Nucl Med. 2014 Oct;55(10):1598-604. doi: 10.2967/jnumed.114.144543. Epub 2014 Aug 28.
4
Activity Dose Reduction in Cu-DOTATATE PET in Patients with Neuroendocrine Neoplasms: Impact on Image Quality and Lesion Detection Ability.在神经内分泌肿瘤患者中,Cu-DOTATATE PET 的活动剂量降低:对图像质量和病变检测能力的影响。
Mol Imaging Biol. 2022 Aug;24(4):600-611. doi: 10.1007/s11307-022-01706-4. Epub 2022 Feb 15.
5
Differences in tumor-to-normal organ SUV ratios measured with 68 Ga-DOTATATE PET compared with 177 Lu-DOTATATE SPECT in patients with neuroendocrine tumors.比较 68Ga-DOTATATE PET 与 177Lu-DOTATATE SPECT 测量神经内分泌肿瘤患者肿瘤与正常器官 SUV 比值的差异。
Nucl Med Commun. 2022 Aug 1;43(8):892-900. doi: 10.1097/MNM.0000000000001592. Epub 2022 Jun 10.
6
Head-to-Head Comparison of Ga-DOTA-JR11 and Ga-DOTATATE PET/CT in Patients with Metastatic, Well-Differentiated Neuroendocrine Tumors: A Prospective Study.对比研究转移性高分化神经内分泌肿瘤患者应用 Ga-DOTA-JR11 与 Ga-DOTATATE PET/CT 的前瞻性研究。
J Nucl Med. 2020 Jun;61(6):897-903. doi: 10.2967/jnumed.119.235093. Epub 2019 Nov 1.
7
More advantages in detecting bone and soft tissue metastases from prostate cancer using F-PSMA PET/CT.使用F-PSMA PET/CT检测前列腺癌骨和软组织转移方面有更多优势。
Hell J Nucl Med. 2019 Jan-Apr;22(1):6-9. doi: 10.1967/s002449910952. Epub 2019 Mar 7.
8
Parametric Net Influx Rate Images of Ga-DOTATOC and Ga-DOTATATE: Quantitative Accuracy and Improved Image Contrast.镓-多柔比星和镓-多他拉嗪的参数化净流入率图像:定量准确性和改进的图像对比度
J Nucl Med. 2017 May;58(5):744-749. doi: 10.2967/jnumed.116.180380. Epub 2016 Oct 27.
9
A Practical Guide for the Production and PET/CT Imaging of 68Ga-DOTATATE for Neuroendocrine Tumors in Daily Clinical Practice.日常临床实践中神经内分泌肿瘤68Ga-DOTATATE制备及PET/CT成像实用指南
J Vis Exp. 2019 Apr 17(146). doi: 10.3791/59358.
10
Impact of initial imaging with gallium-68 dotatate PET/CT on diagnosis and management of patients with neuroendocrine tumors.镓-68 生长抑素 PET/CT 初始显像对神经内分泌肿瘤患者诊断和治疗的影响。
J Surg Oncol. 2020 Mar;121(3):480-485. doi: 10.1002/jso.25812. Epub 2019 Dec 18.

引用本文的文献

1
Artificial Intelligence and Machine Learning Predicting Transarterial Chemoembolization Outcomes: A Systematic Review.人工智能和机器学习预测经动脉化疗栓塞术的结果:一项系统评价
Dig Dis Sci. 2025 Feb;70(2):533-542. doi: 10.1007/s10620-024-08747-5. Epub 2024 Dec 21.
2
An interpretable machine learning model based on contrast-enhanced CT parameters for predicting treatment response to conventional transarterial chemoembolization in patients with hepatocellular carcinoma.一种基于增强CT参数的可解释机器学习模型,用于预测肝细胞癌患者对传统经动脉化疗栓塞术的治疗反应。
Radiol Med. 2024 Mar;129(3):353-367. doi: 10.1007/s11547-024-01785-z. Epub 2024 Feb 14.

本文引用的文献

1
Can the BMI-based dose regimen be used to reduce injection activity and to obtain a constant image quality in oncological patients by F-FDG total-body PET/CT imaging?基于 BMI 的剂量方案能否用于减少注射活动,并通过 F-FDG 全身 PET/CT 成像获得肿瘤患者的恒定图像质量?
Eur J Nucl Med Mol Imaging. 2021 Dec;49(1):269-278. doi: 10.1007/s00259-021-05462-5. Epub 2021 Jun 29.
2
Kinetic metrics of F-FDG in normal human organs identified by systematic dynamic total-body positron emission tomography.通过系统动态全身正电子发射断层扫描鉴定正常人体器官中的 F-FDG 动力学指标。
Eur J Nucl Med Mol Imaging. 2021 Jul;48(8):2363-2372. doi: 10.1007/s00259-020-05124-y. Epub 2021 Jan 8.
3
Total-body PET/CT using half-dose FDG and compared with conventional PET/CT using full-dose FDG in lung cancer.
全身 PET/CT 使用半剂量 FDG 与常规全剂量 FDG 在肺癌中的比较。
Eur J Nucl Med Mol Imaging. 2021 Jun;48(6):1966-1975. doi: 10.1007/s00259-020-05091-4. Epub 2020 Nov 27.
4
Performance comparison of dual-ended readout depth-encoding PET detectors based on BGO and LYSO crystals.基于 BGO 和 LYSO 晶体的双端读出深度编码 PET 探测器的性能比较。
Phys Med Biol. 2020 Nov 27;65(23). doi: 10.1088/1361-6560/abc365.
5
Dose Optimization in F-FDG PET Based on Noise-Equivalent Count Rate Measurement and Image Quality Assessment.基于噪声等效计数率测量和图像质量评估的 F-FDG PET 剂量优化。
J Nucl Med Technol. 2021 Mar;49(1):49-53. doi: 10.2967/jnmt.120.250282. Epub 2020 Sep 4.
6
The image quality, lesion detectability, and acquisition time of F-FDG total-body PET/CT in oncological patients.F-FDG全身PET/CT在肿瘤患者中的图像质量、病变可检测性及采集时间。
Eur J Nucl Med Mol Imaging. 2020 Oct;47(11):2507-2515. doi: 10.1007/s00259-020-04823-w. Epub 2020 May 18.
7
Standardized image quality for Ga-DOTA-TATE PET/CT.镓-多柔比星-奥曲肽PET/CT的标准化图像质量
EJNMMI Res. 2020 Mar 23;10(1):27. doi: 10.1186/s13550-020-0601-y.
8
Reconstructed spatial resolution and contrast recovery with Bayesian penalized likelihood reconstruction (Q.Clear) for FDG-PET compared to time-of-flight (TOF) with point spread function (PSF).与具有点扩散函数(PSF)的飞行时间(TOF)相比,使用贝叶斯惩罚似然重建(Q.Clear)对FDG-PET进行重建的空间分辨率和对比度恢复。
EJNMMI Phys. 2020 Jan 10;7(1):2. doi: 10.1186/s40658-020-0270-y.
9
Phantom-based image quality assessment of clinical F-FDG protocols in digital PET/CT and comparison to conventional PMT-based PET/CT.基于体模的数字PET/CT临床F-FDG协议图像质量评估及与传统基于光电倍增管的PET/CT的比较。
EJNMMI Phys. 2020 Jan 6;7(1):1. doi: 10.1186/s40658-019-0269-4.
10
Patient and scanner-specific variable acquisition times for whole-body PET/CT imaging.针对全身 PET/CT 成像的患者和扫描仪特定可变采集时间。
Phys Med Biol. 2019 Oct 21;64(20):205013. doi: 10.1088/1361-6560/ab4495.