首页|基于ComBat方法调谐18F-FDG PET脑显像的初步研究

基于ComBat方法调谐18F-FDG PET脑显像的初步研究

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目的 基于ComBat方法对同一厂家不同型号PET采集的脑显像数据进行影像调谐,探讨该同质化方法对数据中心效应的影响.方法 用2台不同型号PET/CT仪(德国Siemens Biograph64 TruePoint与Biograph 128 mCT)对三维(3D)Hoffman脑模型进行18F-FDG PET显像;对14名健康受试者[男8名、女6名;年龄(57.7±9.5)岁]用Biograph64 TruePoint、1 2名健康受试者[男9名、女3名;年龄(55.8±10.5)岁]用Biograph 128 mCT PET/CT仪行18F-FDG PET脑显像(受试者来源:复旦大学附属华山医院;时间:2020年11月至2023年3月).依据自动解剖标记(AAL)脑模板将全脑划分为116个脑区,应用ComBat同质化方法对采集的脑模型及健康受试者ROI内PET数据进行影像调谐.对2台PET/CT所得数据影像调谐前后的放射性计数、SUV比值(SUVR)进行Mann-Whitney U检验;对健康受试者的数据进行基于体素的统计参数图(SPM)两独立样本t检验.结果 对于3D Hoffman脑模型,Biograph64 TruePoint 和 Biograph128 mCT PET/CT 的调谐前放射性计数[5 590.33(4 961.67,6 102.95)与 6 116.03(5 420.97,6 660.66);z=-9.35,P<0.001]、SUVR[1.35(1.19,1.47)与 1.37(1.21,1.49);z=-3.63,P<0.001]差异均具有统计学意义,而在调谐后指标差异没有统计学意义[放射性计数:5 845.95(5 192.68,6 378.63)与 5 859.17(5 193.84,6 380.52),SUVR:1.35(1.20,1.48)与 1.36(1.20,1.49);均z=-0.68,均P=0.498].在健康受试者中,调谐前19个脑区的放射性计数[12 422.78(11 181.60,13 424.28)~18 166.40(15 882.80,18 666.27);z 值:-3.24~-2.06,均 P<0.05]、40 个脑区的 SUVR[1.46(1.41,1.52)~2.28(2.16,2.36);z值:-3.65-1.70,均 P<0.05]在 2 台仪器间差异有统计学意义;调谐后全部116个脑区差异无统计学意义[放射性计数:9 243.55(8 502.38,9 854.87)~20 419.60(19 931.51,21 179.43);z 值:-0.72~0,均 P>0.05;SUVR:1.04(1.01,1.09)~2.32(2.24,2.40);z值:-0.82~0,均P>0.05].SPM分析显示调谐前2台PET/CT仪采集的健康受试者脑内葡萄糖代谢在大脑皮质、基底节、中脑及小脑存在差异,调谐后有差异的脑区明显减少.结论 ComBat同质化方法可有效地消除同一厂家不同型号PET/CT间系统性技术差异,为多中心脑显像研究提供1种简单、易实现的调谐方法.
Harmonization of 18F-FDG PET brain imaging based on ComBat method:a pilot study
Objective To perform harmonization based on the ComBat method for PET brain ima-ging scanned by different types of scanners from the same manufacturer and explored its effect on center effect.Methods The three-dimensional(3D)Hoffman brain model was scanned by two different PET/CT instruments(Siemens Biograph64 TruePoint and Biograph 128 mCT).Fourteen healthy subjects(8 males,6 females,age:(57.7±9.5)years)underwent 18F-FDG PET/CT on Siemens Biograph64 TruePoint and 12 healthy subjects(9 males,3 females,age:(55.8±10.5)years)underwent 18F-FDG PET/CT on Siemens Biograph128 mCT(all from Huashan Hospital,Fudan University;from November 2020 to March 2023).The whole brain was divided into 116 brain regions based on the anatomical automatic labeling(AAL)brain template.The ComBat method was applied to harmonized the PET data from brain model and healthy sub-jects.Mann-Whitney U test was performed on the radioactive counts and SUV ratios(SUVR)before and after homogenization acquired by both PET/CT instruments.Voxel-based statistical parametric mapping(SPM)independent-sample t test was also performed on data of healthy subjects.Results In 3D Hoffman brain model,radioactivity counts(5 590.33(4 961.67,6 102.95)vs 6 116.03(5 420.97,6 660.66);z=-9.35,P<0.001)and SUVR(1.35(1.19,1.47)vs 1.37(1.21,1.49);z=-3.63,P<0.001)were significantly different between the two PET/CT scanners before harmonization and not after harmonization(radioactivity counts:5 845.95(5 192.68,6 378.63)vs 5 859.17(5 193.84,6 380.52);SUVR:1.35(1.20,1.48)vs 1.36(1.20,1.49);both z=-0.68,both P=0.498).In the healthy subjects,radioactive counts in 19 brain regions(12 422.78(11 181.60,13 424.28)-18 166.40(15 882.80,18 666.27);z values:from-3.24 to-2.06,all P<0.05)and SUVR in 40 brain regions(1.46(1.41,1.52)-2.28(2.16,2.36);z values:from-3.65 to-1.70,all P<0.05)were significantly different between the two scanners before harmonization,while after homogenization there were no statistical differences for all 116 brain regions(radioactivity counts:9 243.55(8 502.38,9 854.87)-20 419.60(19 931.51,21 179.43);z values:from-0.72 to 0,all P>0.05;SUVR:1.04(1.01,1.09)-2.32(2.24,2.40);z values:from-0.82 to 0,all P>0.05).SPM showed that signifi-cant differences of glucose metabolism in the cerebral cortex,basal ganglia,midbrain and cerebellum were found in healthy subjects between the two PET/CT scanners before homogenization,and brain regions with obvious differences reduced after homogenization.Conclusion ComBat harmonization method is efficient at removing the center effect among different types of PET/CT scanners from the same manufacturer and may provide a simple and easy-to-implement homogenization for multicenter brain imaging studies.

BrainImage processing,computer-assistedPositron-emission tomographyFluoro-deoxyglucose F18

焦方阳、王丹、朱毓华、鲁佳荧、琚紫昭、徐蒨、葛璟洁、华涛、吴平、施匡宇、管一晖、左传涛

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复旦大学附属华山医院核医学/PET中心,上海 200235

陆军军医大学大坪医院核医学科,重庆 400042

瑞士伯尔尼大学核医学科,伯尔尼3010

图像处理,计算机辅助 正电子发射断层显像术 氟脱氧葡萄糖F18

国家自然科学基金国家自然科学基金上海市科学技术委员会"科技创新行动计划"医学创新研究专项

819716418202100221Y11903300

2024

中华核医学与分子影像杂志
中华医学会

中华核医学与分子影像杂志

CSTPCD北大核心
影响因子:1.107
ISSN:2095-2848
年,卷(期):2024.44(7)
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