Accuracy of ¹⁸F-FDG in Detecting Stage I Lung Adenocarcinomas According to IASLC/ATS/ERS Classification

Background: Only a small number of studies have explored the clinicopathological features of pulmonary adenocarcinoma (PA) associated with ¹⁸F-fluorodeoxyglucose positron emission tomography (FDG-PET) false-negative (FN) results. Herein, we investigated the FDG-PET diagnostic performance by stratifying PAs according to International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society/American Thoracic Society/European Respiratory Society (IASLC/ATS/ERS) classification.

Methods: From January 2002 to December 2016, all consecutive patients who underwent pulmonary resection for stage I PA at six thoracic surgery institutions were retrospectively reviewed. The diagnostic performance of FDG-PET was analysed according to IASLC/ATS/ERS classification and two validated subclassifications. Univariable and multivariable logistic analysis were used to identify predictors of FDG-PET FN results.

Results: Five hundred and fifty (550) patients with stage I PA were included in the analyses. Most of the patients were male (n=354 [64.4%]) and smokers (n=369 [67.1%]). Ninety-seven (n=97 [17.6%]) FN cases were observed at FDG-PET imaging. On multivariable analysis, a lepidic pattern was found to be independently associated with FDG-PET FN results (odds ratio [OR], 3.20; p<0.001), while a solid pattern more commonly presented with a positive finding (OR, 0.40; p=0.066). According to Nakamura's classification, we observed an independent association between lepidic pattern and FDG-PET FN results (OR, 3.17; p<0.001), while solid/micropapillary patterns were independently related with increased FDG uptake (OR, 0.35; p=0.021). According to Yoshizawa's classification, Intermediate-grade tumours were independently correlated with FN FDG-PET results (OR, 2.78; p=0.005).

Conclusions: In our cohort, histopathological features were significantly associated with FDG uptake. In particular, some adenocarcinoma subtypes (mostly Lepidic pattern) have a tendency towards FN FDG-PET findings. The correlation between computed tomography findings, clinical characteristics, and FDG uptake is mandatory, in order to tailor the precise diagnostic and therapeutic pathway for each patient.