Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
Department of Medical Oncology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
Mol Imaging. 2022 Jun 30;2022:8081299. doi: 10.1155/2022/8081299. eCollection 2022.
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 F-FDG PET/CT in patients with multiple lung cancer nodules. We enrolled patients with multiple pulmonary nodules who had undergone dynamic F-FDG PET/CT and divided them into sMPLC and IPM groups based on comprehensive features. The SUV, fitted value based on dynamic scanning, and corresponding maximum diameter ( ) from the two largest tumors were determined in each patient. We determined the absolute between-tumor difference of SUV/ and / (ΔSUV/ ; Δ / ) and assessed the between-group differences. Further, the diagnostic accuracy was evaluated by ROC analysis and the correlation between ΔSUV/ and Δ /D from all groups was determined. There was no significant difference for ΔSUV/ between the IPM and sMPLC groups, while the IPM group had a significantly higher Δ /D than the sMPLC group. The AUC of Δ / for differentiating sMPLC from IPM was 0.80 (cut-off value of = 0.0059, sensitivity 79%, specificity 75%, < 0.001). There was a good correlation (Pearson = 0.91, 95% CI: 0.79-0.96, < 0.0001) between ΔSUV/ and Δ / in the IPM group but not in the sMPLC group (Pearson = 0.45, > 0.05). Dynamic F-FDG PET/CT could be a useful tool for distinguishing sMPLC from IPM. calculation based on Patlak graphic analysis could be more sensitive than SUV in discriminating IPM from sMPLC in patients with multiple lung cancer nodules.
鉴别同步性多原发性肺癌(sMPLC)和肺内转移瘤(IPM)一直是一个巨大的挑战。我们旨在评估动态 F-FDG PET/CT 在多肺结节患者中的临床应用。我们纳入了多肺结节患者,他们接受了动态 F-FDG PET/CT,并根据综合特征将其分为 sMPLC 和 IPM 组。在每位患者中,确定了两个最大肿瘤的 SUV、基于动态扫描的拟合值和相应的最大直径()。我们确定了 SUV/和/(ΔSUV/;Δ/)的肿瘤间绝对差异,并评估了组间差异。进一步通过 ROC 分析评估诊断准确性,并确定所有组中ΔSUV/和Δ/之间的相关性。IPM 和 sMPLC 组之间的ΔSUV/差异无统计学意义,而 IPM 组的Δ/明显高于 sMPLC 组。Δ/用于区分 sMPLC 和 IPM 的 AUC 为 0.80(截断值为=0.0059,敏感性 79%,特异性 75%,<0.001)。在 IPM 组中,ΔSUV/和Δ/之间存在良好的相关性(Pearson = 0.91,95%CI:0.79-0.96,<0.0001),但在 sMPLC 组中没有相关性(Pearson = 0.45,>0.05)。动态 F-FDG PET/CT 可能是区分 sMPLC 和 IPM 的有用工具。基于 Patlak 图形分析的计算可能比 SUV 更敏感,可用于区分多肺结节患者中的 IPM 和 sMPLC。