Application of Dynamic ¹⁸F-FDG PET/CT for Distinguishing Intrapulmonary Metastases from Synchronous Multiple Primary Lung Cancer

Abstract

It has been a big challenge to distinguish synchronous multiple primary lung cancer (sMPLC) from primary lung cancer with intrapulmonary metastases (IPM). We aimed to assess the clinical application of dynamic ¹⁸F-FDG PET/CT in patients with multiple lung cancer nodules. We enrolled patients with multiple pulmonary nodules who had undergone dynamic ¹⁸F-FDG PET/CT and divided them into sMPLC and IPM groups based on comprehensive features. The SUV_max, fitted <i>K</i> _<i>i</i> value based on dynamic scanning, and corresponding maximum diameter (<i>D</i> _max) from the two largest tumors were determined in each patient. We determined the absolute between-tumor difference of SUV_max/<i>D</i> _max and <i>K</i> _<i>i</i> /<i>D</i> _max (ΔSUV_max/<i>D</i> _max; Δ<i>K</i> _<i>i</i> /<i>D</i> _max) and assessed the between-group differences. Further, the diagnostic accuracy was evaluated by ROC analysis and the correlation between ΔSUV_max/<i>D</i> _max and Δ<i>K</i> _<i>i</i> /D_max from all groups was determined. There was no significant difference for ΔSUV_max/<i>D</i> _max between the IPM and sMPLC groups, while the IPM group had a significantly higher Δ<i>K</i> _<i>i</i> /D_max than the sMPLC group. The AUC of Δ<i>K</i> _<i>i</i> /<i>D</i> _max for differentiating sMPLC from IPM was 0.80 (cut-off value of <i>K</i> _<i>i</i> = 0.0059, sensitivity 79%, specificity 75%, <i>p</i> < 0.001). There was a good correlation (Pearson <i>r</i> = 0.91, 95% CI: 0.79-0.96, <i>p</i> < 0.0001) between ΔSUV_max/<i>D</i> _max and Δ<i>K</i> _<i>i</i> /<i>D</i> _max in the IPM group but not in the sMPLC group (Pearson <i>r</i> = 0.45, <i>p</i> > 0.05). Dynamic ¹⁸F-FDG PET/CT could be a useful tool for distinguishing sMPLC from IPM. <i>K</i> _<i>i</i> calculation based on Patlak graphic analysis could be more sensitive than SUV_max in discriminating IPM from sMPLC in patients with multiple lung cancer nodules.