联合氨基酸PET-MRI鉴别治疗后胶质瘤复发:我们一起成长。

IF 1.7 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Shumyla Jabeen, Arpana Arbind, Dinesh Kumar, Pardeep Kumar Singh, Jitender Saini, Nishanth Sadashiva, Uday Krishna, Arivazhagan Arimappamagan, Vani Santosh, Chandana Nagaraj
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引用次数: 7

摘要

目的:本研究的目的是比较氨基酸PET、MR灌注和扩散作为单独和联合诊断胶质瘤治疗后复发的准确性,并通过同时获得PET-MR定性评估三种模式之间的空间一致性。方法:回顾性分析48例治疗后胶质瘤同时行PET-MRI,采用C11蛋氨酸作示踪剂。在PET研究中获得MR灌注和扩散序列。得到以下参数:PET图像的TBRmax、TBRmean、SUVmax、SUVmean;rCBV灌注;以及扩散图像的ADCmean和ADCratio。最终诊断基于临床/影像学随访和组织病理学。采用ROC曲线分析结合logistic回归分析比较诊断效果。模式之间的空间一致性分别被分级为0、1和2,分别代表不一致性和50%一致性。结果:35例复发,13例术后改变无复发。曲线下面积(AUC)最高的是TBRmax,其次是rCBV和ADCratio。rCBV和TBRmax联合使用时AUC显著增加。氨基酸PET的诊断准确率最高,与最终诊断的吻合度最高。ADC与PET不一致的占22.9%,rCBV与PET不一致的占16.7%,PET与增强不一致的占14.6%。结论:氨基酸PET对胶质瘤治疗后复发的诊断准确率最高。PET联合MRI进一步提高了AUC,从而提高了诊断性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Combined amino acid PET-MRI for identifying recurrence in post-treatment gliomas: together we grow.

Combined amino acid PET-MRI for identifying recurrence in post-treatment gliomas: together we grow.

Combined amino acid PET-MRI for identifying recurrence in post-treatment gliomas: together we grow.

Combined amino acid PET-MRI for identifying recurrence in post-treatment gliomas: together we grow.

Purpose: The aim of this study is to compare the diagnostic accuracy of amino acid PET, MR perfusion and diffusion as stand-alone modalities and in combination in identifying recurrence in post-treatment gliomas and to qualitatively assess spatial concordance between the three modalities using simultaneous PET-MR acquisition.

Methods: A retrospective review of 48 cases of post-treatment gliomas who underwent simultaneous PET-MRI using C11 methionine as radiotracer was performed. MR perfusion and diffusion sequences were acquired during the PET study. The following parameters were obtained: TBRmax, TBRmean, SUVmax, and SUVmean from the PET images; rCBV from perfusion; and ADCmean and ADCratio from the diffusion images. The final diagnosis was based on clinical/imaging follow-up and histopathology when available. ROC curve analysis in combination with logistic regression analysis was used to compare the diagnostic performance. Spatial concordance between modalities was graded as 0, 1, and 2 representing discordance, < 50% and > 50% concordance respectively.

Results: There were 35 cases of recurrence and 13 cases of post-treatment changes without recurrence. The highest area under curve (AUC) was obtained for TBRmax followed by rCBV and ADCratio. The AUC increased significantly with a combination of rCBV and TBRmax. Amino acid PET showed the highest diagnostic accuracy and maximum agreement with the final diagnosis. There was discordance between ADC and PET in 22.9%, between rCBV and PET in 16.7% and between PET and contrast enhancement in 14.6% cases.

Conclusion: Amino acid PET had the highest diagnostic accuracy in identifying recurrence in post-treatment gliomas. Combination of PET with MRI further increased the AUC thus improving the diagnostic performance.

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来源期刊
European Journal of Hybrid Imaging
European Journal of Hybrid Imaging Computer Science-Computer Science (miscellaneous)
CiteScore
3.40
自引率
0.00%
发文量
29
审稿时长
17 weeks
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