Clinical Investigation
Clinical application of 18F-FDG PET/CT parameters in predicting tumor spread through air spaces in patients with lung adenocarcinomas at T1-2 stage
Duan Xiaobei, Chen Xiangmeng, Huang Binhao, Sun Lixia, Zou Weiqiang, Wu Rizhao, Qin Guilin
Published 2022-05-25
Cite as Chin J Nucl Med Mol Imaging, 2022, 42(5): 263-268. DOI: 10.3760/cma.j.cn321828-20201025-00388
Abstract
ObjectiveTo evaluate the clinical value of 18F-FDG PET/CT findings in patients with T1-2 lung adenocarcinoma spread through air spaces (STAS).
MethodsFrom June 2018 to June 2020, a total of 80 patients (36 males, 44 females; age: 19-84 (59.9±11.8) years) with surgically and pathologically confirmed T1-2 lung adenocarcinomas in Jiangmen Central Hospital were enrolled retrospectively. All patients underwent 18F-FDG PET/CT examination preoperatively and were divided into STAS positive and negative groups according to the histopathological diagnosis. Independent-sample t test, Mann-Whitney U test, χ2 test and Fisher exact test were used to analyze differences of gender, age, tumor biomarker, SUVmax, SUVmean, features showed on high resolution CT (HRCT; including diameter, lesion location, morphology, density, lobulated sharp, spiculated sign, vacuole sign, air bronchgram sign, pleural traction and para-emphysema), and pathologic findings (micropapillary pattern, lymphvascular inversion, pleural inversion and lymph node metastasis) between the two groups, and then multivariate logistic regression was performed. The ROC curve was employed to evaluate the predictive value of parameters for STAS of T1-2 lung adenocarcinomas.
ResultsAmong the 80 patients with T1-2 lung adenocarcinomas, 12 (15.0%) were STAS positive and 68 (85.0%) were STAS negative. Significant differences were shown in SUVmax, SUVmean, micropapillary pattern, lymphvascular inversion and lymph node metastasis between the two groups (z values: -2.60, -2.17; χ2 values: 29.56, 9.28, 17.40, P<0.001 or P<0.05). SUVmax (odds ratio (OR): 1.348 (95% CI: 1.071-1.695), P=0.011), micropapillary pattern (OR=47.444 (95% CI: 4.592-490.214), P=0.001) and lymph node metastasis (OR=8.201 (95% CI: 1.129-59.576), P=0.038) were independent risk factors for STAS positive in multivariation logistic regression analysis. The optimum cut-off value for SUVmax was 3.85 in the ROC analysis with the AUC of 0.737 (95% CI: 0.614-0.859), the sensitivity of 11/12, the specificity of 55.9%(38/68) and the accuracy of 61.2%(49/80). The AUC of the SUVmax combined with micropapillary pattern and lymph node metastasis was 0.945 (95% CI: 0.892-0.999) with the sensitivity of 11/12, the specificity of 88.2%(60/68) and the accuracy of 88.7%(71/80).
ConclusionsThe PET/CT characteristics may be useful in differentiating STAS status among patients with T1-2 lung adenocarcinoma. SUVmax >3.85, pathological papillary pattern and lymph node metastasis are independent risk factors to predict STAS.
Key words:
Lung neoplasms; Adenocarcinoma; Neoplasm invasiveness; Positron-emission tomography; Tomography, X-ray computed; Fluorodeoxyglucose F18
Contributor Information
Duan Xiaobei
Department of Nuclear Medicine, Jiangmen Central Hospital, the Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen 529030, China
Chen Xiangmeng
Department of Radiology, Jiangmen Central Hospital, the Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen 529030, China
Huang Binhao
Department of Nuclear Medicine, Jiangmen Central Hospital, the Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen 529030, China
Sun Lixia
Department of Pathology, Jiangmen Central Hospital, the Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen 529030, China
Zou Weiqiang
Department of Nuclear Medicine, Jiangmen Central Hospital, the Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen 529030, China
Wu Rizhao
Department of Nuclear Medicine, Jiangmen Central Hospital, the Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen 529030, China
Qin Guilin
Department of Nuclear Medicine, Jiangmen Central Hospital, the Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen 529030, China