Prediction of occult lymph node metastasis using SUV, volumetric parameters and intratumoral heterogeneity of the primary tumor in T1-2N0M0 lung cancer patients staged by PET/CT

• Published in: Annals of nuclear medicine 2019-09, Vol.33 (9), p.671-680
• Main Authors: Ouyang, Ming-li, Xia, Hu-wei, Xu, Man-man, Lin, Jie, Wang, Li-li, Zheng, Xiang-wu, Tang, Kun
• Format: Article
• Language: English
• Subjects: Ablation; Adenocarcinoma; Biological Transport; Biopsy; Female; Fluorodeoxyglucose F18 - metabolism; Glycolysis; Heterogeneity; Humans; Imaging; Lung cancer; Lung Neoplasms - diagnostic imaging; Lung Neoplasms - metabolism; Lung Neoplasms - pathology; Lymph nodes; Lymphatic Metastasis; Lymphatic system; Male; Medicine; Medicine & Public Health; Metabolism; Metastases; Metastasis; Middle Aged; Multivariate analysis; Neoplasm Staging; Non-small cell lung carcinoma; Nuclear Medicine; Original Article; Parameter identification; Positron emission tomography; Positron Emission Tomography Computed Tomography; Radiation therapy; Radiology; Regression analysis; Retrospective Studies; ROC Curve; Squamous cell carcinoma; Statistical analysis; Tumors
• ISSN: 0914-7187; 1864-6433
• DOI: 10.1007/s12149-019-01375-4

Objective The aim of this study was to identify whether PET/CT-related metabolic parameters of the primary tumor could predict occult lymph node metastasis (OLM) in patients with T1-2N0M0 NSCLC staged by 18 F-FDG PET/CT. Methods 215 patients with clinical T1-2N0M0 (cT1-2N0M0) NSCLC who underwent both preoperative FDG PET/CT and surgical resection with the systematic lymph node dissection were included in the retrospective study. Heterogeneity factor (HF) was obtained by finding the derivative of the volume-threshold function from 40 to 80% of the maximum standardized uptake value (SUVmax). Univariate and multivariate stepwise logistic regression analyses were used to identify these PET parameters and clinicopathological variables associated with OLM. Results Statistically significant differences were detected in sex, tumor site, SUVmax, mean SUV (SUVmean), metabolic tumor volume (MTV), total lesion glycolysis and HF between patients with adenocarcinoma (ADC) and squamous cell carcinoma (SQCC). OLM was detected in 36 (16.7%) of 215 patients (ADC, 27/152 = 17.8% vs. SQCC, 9/63 = 14.3%). In multivariate analysis, MTV (OR = 1.671, P  = 0.044) in ADC and HF (OR = 8.799, P  = 0.023) in SQCC were potent associated factors for the prediction of OLM. The optimal cutoff values of 5.12 cm 3 for MTV in ADC, and 0.198 for HF in SQCC were determined using receiver operating characteristic curve analysis. Conclusions In conclusion, MTV was an independent predictor of OLM in cT1-2N0M0 ADC patients, while HF might be the most powerful predictor for OLM in SQCC. These findings would be helpful in selecting patients who might be considered as candidates for sublobar resection or new stereotactic ablative radiotherapy.