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Meeting ReportHead and Neck

Diagnostic Performance of 18F Fibroblast Activation Protein Inhibitor (FAPI)-42 PET Compared with Multiparametric MRI for Glioma Grading

Jie Lv, Tao Lin, Peng Hou, Shaoyu Liu, Xin Wen, Hainan Li, Xubiao Zhang, Yongqin Zeng, Lina Zhang, Linbo Cai and Xinlu Wang
Journal of Nuclear Medicine June 2022, 63 (supplement 2) 3109;
Jie Lv
1The First Affiliated Hospital of Guangzhou Medical University
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Tao Lin
1The First Affiliated Hospital of Guangzhou Medical University
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Peng Hou
1The First Affiliated Hospital of Guangzhou Medical University
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Shaoyu Liu
1The First Affiliated Hospital of Guangzhou Medical University
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Xin Wen
1The First Affiliated Hospital of Guangzhou Medical University
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Hainan Li
1The First Affiliated Hospital of Guangzhou Medical University
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Xubiao Zhang
1The First Affiliated Hospital of Guangzhou Medical University
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Yongqin Zeng
1The First Affiliated Hospital of Guangzhou Medical University
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Lina Zhang
1The First Affiliated Hospital of Guangzhou Medical University
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Linbo Cai
1The First Affiliated Hospital of Guangzhou Medical University
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Xinlu Wang
1The First Affiliated Hospital of Guangzhou Medical University
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Abstract

3109

Introduction: Both diffuse-weighted MR imaging (DWI) and 18F-fibroblast activation protein inhibitor (FAPI)-42 provide grading information in cerebral gliomas. This study aimed to compare the diagnostic value of 18F–FAPI-42 PET and DWI for tumor grading in patients with gliomas.

Methods: Twenty-two patients (9 newly diagnosed and 13 recurrence patients) with pathologically confirmed gliomas [7 low-grade gliomas (LGGs), and 15 high-grade gliomas (HGGs)] were investigated with 18F–FAPI PET and DWI study. The minimum apparent diffusion coefficient (ADCmin) in DWI, tumor-to-brain ratios of mean and maximum standard uptake value (TBRmean, TBRmax) in18F- FAPI-42 PET were recorded. The nomogram was constructed using multivariate logistic regression combined with ADCmin, TBRmax, and TBRmean. The sensitivity, specificity, positive predictive values (PPV), negative predictive values (NPV), and diagnostic accuracies of ADCmin, TBRmax, TBRmean, and nomogram for differentiating LGGs from HGGs were compared. The diagnostic accuracies were evaluated by receiver operating characteristic (ROC) analyses and the value of area under the curve (AUC).

Results: Twenty-two patients (median age,39.5 years; interquartile range, 32–50 years) were included, of which 73% (16 of 22) underwent open resection. There were significant differences in all parameters, including ADCmin, TBRmax, TBRmean between LGGs and HGGs (P=0.013 vs. P=0.020 vs. P=0.014, respectively). The specificities of ADCmin, TBRmean, and nomogram were similar(all 85.7%) and higher than that of TBRmax (71.4%). The sensitivities of ADCmin, TBRmax, and nomogram were similar (all 93.3%) and higher than that of TBRmean (73.3%). The diagnostic accuracies of 18F–FAPI-42 and DWI to discriminate LGGs from HGGs were similar with the highest AUC values for TBRmax and TBRmean of 18F–FAPI PET [85.7(95% CI: 68.8,100) vs. 82.4(95% CI: 64.6,100), respectively] and for ADCmin of DWI [87.6 (95% CI: 65.1,100)]. The nomogram model with an AUC of 90.5% (95% CI: 73.3,100) could further improve diagnostic accuracy.

Conclusions: Both 18F–FAPI-42 PET and DWI discriminated LGGs from HGGs with similar diagnostic performance. The nomogram model based on 18F-FAPI-42 PET and DWI might be clinically useful in non-invasive grade classification for glioma patients.

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Journal of Nuclear Medicine
Vol. 63, Issue supplement 2
June 1, 2022
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Diagnostic Performance of 18F Fibroblast Activation Protein Inhibitor (FAPI)-42 PET Compared with Multiparametric MRI for Glioma Grading
Jie Lv, Tao Lin, Peng Hou, Shaoyu Liu, Xin Wen, Hainan Li, Xubiao Zhang, Yongqin Zeng, Lina Zhang, Linbo Cai, Xinlu Wang
Journal of Nuclear Medicine Jun 2022, 63 (supplement 2) 3109;

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Diagnostic Performance of 18F Fibroblast Activation Protein Inhibitor (FAPI)-42 PET Compared with Multiparametric MRI for Glioma Grading
Jie Lv, Tao Lin, Peng Hou, Shaoyu Liu, Xin Wen, Hainan Li, Xubiao Zhang, Yongqin Zeng, Lina Zhang, Linbo Cai, Xinlu Wang
Journal of Nuclear Medicine Jun 2022, 63 (supplement 2) 3109;
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