PREDICTIVE VALUE OF METABOLIC PARAMETERS ON 18F-FDG PET/CT FOR REGIONAL LYMPH NODE METASTASIS IN SURGICALLY NON-SMALL CELL LUNG CANCER PATIENTS
Main Article Content
Abstract
Objective: To investigate the derived parameters assessed on 18F-FDG PET/CT in predicting regional lymph node metastasis in surgically non-small cell lung cancer patients.
Subjects and Methods: A retrospective study was conducted on 55 NSCLC patients who underwent 18F-FDG PET/CT imaging before specific treatment at the Department of Nuclear Medicine, 103 Military Hospital, from December 2016 to January 2024, followed by lobectomy and regional lymph node dissection. Data were processed and analyzed using SPSS 26.0 software.
Results: Volume parameters, CoV b, CoV 41%, and I/C SUV ratio were significantly higher in the group with lymph node metastasis. The AUC area of ROC curve for CoV b, CoV 41%, MTV b, MTV 41%, TLG b were 0.830, 0.723, 0.705, 0.690, 0.676, respectively. Univariate analysis showed that CoV b, CoV 41%, MTV b, MTV 41%, TLG b, were prognostic factors for lymph node metastasis. Multivariate analysis identified CoV b, CoV41%, MTV b as independent prognostic factors for lymph node metastasis.
Conclusion: Tumor heterogeneity (CoV 41%, CoV b) and MTV b were independent prognostic factors for lymph node metastasis in surgically non-small cell lung cancer patients.
Article Details
Keywords
Heterogeneity, Volume parameters, Non-Small Cell Lung Cancer, PET/CT, Lymph Node Metastasis
References
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