预测高级别胶质瘤最佳阈值为1.20,相应ROC曲线的曲线下面积(area under curve,AUC)为0.812(95% CI 0.609~1.000),灵敏度为0.789,特异度为0.857。TBR预测高级别胶质瘤最佳阈值为9.09,相应AUC为0.850(95% CI 0.686~1.000),灵敏度为0.842,特异度为0.857。对于所有胶质瘤病灶,IDH野生型病灶与IDH突变型病灶之间SUV
max
及TBR差异均无统计学意义(
U
=71.00,
P
=0.520;
U
=80.00,
P
=0.860);此外,对于高级别胶质瘤病灶,IDH野生型病灶与IDH突变型病灶之间SUV
max
及TBR差异亦均无统计学意义(
U
=36.00,
P
=0.462;
U
=30.00,
P
=0.221)。
结论:
18
F-FAPI-42PET/CT在非侵袭性预测脑胶质瘤分级中具有较好的临床应用价值。
Abstract
Objective:
To investigate the value of
18
F-fibroblast activation protein inhibitor (FAPI)-42 positron emission tomography (PET)/computed tomography (CT) imaging for clinical application in the prediction of glioma grading.
Methods:
From June 2020 to May 2021
25 patients (aged 17-67 years) who underwent
18
F-FAPI-42 PET/CT with a primary diagnosis of suspected glioma or suspected glioma recurrence were retrospectively analyzed. All of whom had stereotactic biopsy or surgical resection to obtain the pathological type of each lesion. The region of interest (ROI) of glioma lesions was outlined on PET/CT images
and the maximum standardized uptake value (SUV
max
) and target to background ratio (TBR) of the lesions were obtained. The indices of different pathological types of gliomas were compared by the Mann-Whitney U test and independent sample t test
and the optimal cut-off values for differentiating high-grade gliomas and low-grade gliomas were obtained by receiver operating characteristic (ROC) curves analysis.
Results:
A total of 26 glioma lesions were pathologically confirmed in 25 patients
19 of them are high-grade (WHO grade Ⅲ-Ⅳ) gliomas
including 10 isocitrate dehydrogenase (IDH) wild-type and 9 IDH-mutant; and 7 of them are low-grade (WHO grade Ⅱ) gliomas
including 2 IDH wild-type and 5 IDH-mutant. Both SUV
max
[1.75 (1.25
3.19)] and TBR [(26.244.83)] were significantly higher in high-grade gliomas than in low-grade gliomas [0.32 (0.31
1.14) and 9.472.81]
both of which were statistically different (
U
=25.00
P
=0.018;
t
=2.280
P
= 0.032).The optimal cut-off values of SUV
max
to predict high-grade gliomas was 1.20
with corresponding area under curve (AUC) of 0.812 (95% CI 0.609-1.000)
sensitivity of 0.789
and specificity of 0.857. The optimal cut-off values of TBR to predict high-grade gliomas was 9.09
with corresponding AUC of 0.850 (95% CI 0.686-1.000)
sensitivity of 0.842 and specificity of 0.857. For all gliomas
the differences of SUV
max
and TBR between IDH wild- type lesions and IDH-mutant lesions were not statistically significant (
U
=71.00
P
=0.520;
U
=80.00
P
=0.860)
furthermore
for high-grade gliomas
the differences of SUV
max
and TBR between IDH wild-type and IDH-mutant lesions were also not statistically significant (
U
=36.00
P
=0.462;
U
=30.00
P=0.221).
Conclusion:
The
18
F-FAPI-42 PET/CT is clinically useful in non-invasive grade prediction for glioma patients.
Evaluation of prostate cancer across different treatment stages using 18F-FDG PET imaging
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Related Author
Chu WANG
Jiangyu MA
Tuo LI
Chao FU
Linfeng LI
Hongli JING
Li HUO
Xingfang HONG
Related Institution
Clinical Medicine, Peking Union Medical College, Chinese Academy of Medical Sciences
Department of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College
Comprehensive Laboratory of Pathogenic Biology, School of Basic Medical Sciences, Medical Department of Dali University, Dali
Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Center for Biomedical Imaging, Fudan University, Shanghai Engineering Research Center of Molecular Imaging Probes