Combined 18 F-FDG PET and MRI visual analysis demonstrates high diagnostic efficacy in differentiating atypical primary central nervous system lymphoma from high-grade glioma
FU Jingyu
ZHANG Yuxi
YANG Fan
PENG Daiyun
LIU Jiangyan
Abstract:Objective To evaluate the diagnostic performance of individual parameters and combined models utilizing 18F-FDG PET,routine blood tests,biochemistry,and MRI for differentiating atypical primary central nervous system lymphoma(PCNSL)from high-grade glioma(HGG).Methods A retrospective analysis included 49 patients(25 HGGs,24 PCNSLs)admitted to the Department of Nuclear Medicine,Second Hospital of Lanzhou University from January 2016 to September 2024,and they were stratified into HGG and PCNSL groups.Lesions were delineated using 3D Slicer to derive PET semi-quantitative parameters.Intergroup differences in age,gender,lesion number/location,MRI features,routine blood/biochemical parameters,and PET metabolic parameters were compared.Parameters showing statistically significant differences were identified.ROC curves were generated for both individual parameters and combined models to assess diagnostic performance.Results No statistically significant differences were observed between groups for age,gender,lesion number,lymphocyte count,albumin,or metabolic tumor volume(P>0.05).Significant differences(P<0.05)were found for lesion location,enhancement features,neutrophil count,mean standardized uptake value(SUVmean),minimum standardized uptake value(SUVmin),and maximum standardized uptake value(SUVmax).The corresponding AUC were 0.608,0.854,0.613,0.885,0.833,0.923,respectively.Combining lesion location,enhancement features,and neutrophil count with either SUVmax,SUVmin,SUVmean yielded significantly higher AUCs of 0.993,0.985,0.993,respectively,outperforming all single-parameter models.Conclusion The combined diagnostic model integrating PET,routine blood tests,and MRI demonstrate outstanding performance in distinguishing atypical PCNSL from HGG,highlighting its significant potential for clinical translation and application.
Keywords:18F-FDGmagnetic resonance imagingprimary central nervous system lymphoma
Publication Date:2025-07-20
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:7( 800-806 )
Journal of Molecular Imaging

Journal of Molecular Imaging

ISTIC
ISSN:1674-4500
Year, Vol.(Issue):2025,48(7)