论著摘要 |【PET】辐射损伤与复发性脑转移:影像组学纹理特征分析与标准参数的结合可增加18F-FET PET的精度同时无需动态扫描(双语版)

2017-12-25 11:32:33 admin 3

Radiation injury vs. recurrent brain metastasis: combining textural feature radiomics analysis and standard parameters may increase 18F-FET PET accuracy without dynamic scans.

发表日期: 2016.11.16   来源:European Radiology. 2017 Jul;27(7):2916-2927.

作者:

Lohmann P1, Stoffels G2, Ceccon G3, Rapp M4 , Sabel M4, Filss CP2,5, Kamp MA4, Stegmayr C2, Neumaier B2, Shah NJ2,6,7, Langen KJ2,5,7 , Galldiks N2,3,8.

作者介绍:

1. Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Wilhelm-Johnen-Str., 52428, Jülich, Germany.

2. Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Wilhelm-Johnen-Str., 52428, Jülich, Germany.

3. Department of Neurology, University of Cologne, Cologne, Germany.

4. Department of Neurosurgery, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

5. Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany.

6. Department of Neurology, RWTH Aachen University Hospital, Aachen, Germany.

7. Department of Neurology, Jülich-Aachen Research Alliance (JARA) - Section JARA-Brain, Jülich, Germany.

8. Center of Integrated Oncology (CIO), University of Cologne, Cologne, Germany.

摘要

Abstact

目的

我们研究了18F-FET PET的纹理特征分析的潜力,用来区分脑转移复发和辐射损伤。

Objectives

We investigated the potential of textural feature analysis of O-(2-[18F]fluoroethyl)-L-tyrosine (18F-FET) PET to differentiate radiation injury from brain metastasis recurrence.

方法

脑转移辐射治疗后MRI检查中的47例对比增强型脑损伤(n=54)进行动态18F-FET PET。注射后20到40分钟,在总和图像中确定18-F FET摄取的肿瘤-脑比例和62个结构参数。 从注射后0-50分钟的动态PET数据中评估示踪剂摄取动力学,也就是时间-峰值(TTP)和时间-活性曲线(TAC)的模式。比较了研究参数及其组合的诊断准确性,用来区分脑转移复发与辐射损伤。

Methods

Forty-seven patients with contrast-enhancing brain lesions (n = 54) on MRI after radiotherapy of brain metastases underwent dynamic 18F-FET PET. Tumour-to-brain ratios (TBRs) of 18F-FET uptake and 62 textural parameters were determined on summed images 20-40 min post-injection. Tracer uptake kinetics, i.e., time-to-peak (TTP) and patterns of time-activity curves (TAC) were evaluated on dynamic PET data from 0-50 min post-injection. Diagnostic accuracy of investigated parameters and combinations thereof to discriminate between brain metastasis recurrence and radiation injury was compared.

结果

通过结合精细度或者短期强度的结构参数,诊断准确度从单独的TRBmean的81%提高到了85%。 与结构参数粗糙度,短区域强度或相关性结合后,单独的TBRmean的准确度从83%增大到了85%。TAC的分析结果表明,单独的动力学模型的精确度为70%,当结合TBRmax时,分析结果可提高到83%。

Results

Diagnostic accuracy increased from 81 % for TBRmean alone to 85 % when combined with the textural parameter Coarseness or Short-zone emphasis. The accuracy of TBRmax alone was 83 % and increased to 85 % after combination with the textural parameters Coarseness, Short-zone emphasis, or Correlation. Analysis of TACs resulted in an accuracy of 70 % for kinetic pattern alone and increased to 83 % when combined with TBRmax.

结论

与TBR组合的纹理特征分析有可能提高诊断准确性,以区分脑转移复发和放射性损伤,同时无需动态18F-FET PET扫描。

Conclusions

Textural feature analysis in combination with TBRs may have the potential to increase diagnostic accuracy for discrimination between brain metastasis recurrence and radiation injury, without the need for dynamic 18F-FET PET scans.

关键词:

颅内转移瘤,FET PET,辐射损伤,影像组学,纹理分析

Keywords:

Brain metastasis; FET PET; Radiation injury; Radiomics; Textural analysis

阅读原文:PMID: 27853813  DOI: 10.1007/s00330-016-4638-2


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