Analysis of the clinicopathological characteristics and 18F-FDG PET/CT imaging features of bronchopulmonary neuroendocrine tumors
10.3760/cma.j.cn321828-20200114-00020
- VernacularTitle:肺神经内分泌肿瘤的临床病理特征及 18F-FDG PET/CT影像表现分析
- Author:
Minmin TANG
;
Yang YOU
;
Xiali LI
;
Xinyu WU
;
Ang XUAN
;
Yongju GAO
;
Junling XU
- From:
Chinese Journal of Nuclear Medicine and Molecular Imaging
2021;41(5):262-267
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the clinicopathological characteristics and 18F-fluorodeoxyglucose (FDG) PET/CT imaging features of bronchopulmonary neuroendocrine tumors(BP-NETs) with different pathological subtypes. Methods:From January 2013 to May 2018, 280 patients (196 males, 84 females, median age 58 years) with BP-NETs proved by pathology in Henan Provincial People′s Hospital were retrospectively analyzed. Age, gender, smoking history, the location and size of tumor, Ki-67 positive index, thyroid transcription factor-1 (TTF-1), synaptophysin (Syn), chromogranin-A (CgA), CD56, maximum standardized uptake value (SUV max), lymph node metastasis and distant metastasis were compared among 4 pathological subtypes of BP-NETs, including typical carcinoid (TC), atypical carcinoid (AC), small cell lung carcinoma (SCLC) and large cell neuroendocrine carcinoma (LCNEC). One-way analysis of variance, χ2 test, Fisher exact test and Kruskal-Wallis rank sum test were used for data analysis. Results:There were significant differences in age, smoking history, tumor size and location, Ki-67 positive index, CgA, CD56, TTF-1, SUV max and TNM stage among TC( n=59), AC( n=21), SCLC( n=184) and LCNEC ( n=16) groups ( F values: 2.067, 3.358, H values: 17.749-22.351, all P<0.05). SCLC had the largest tumor size (5.5(3.0, 6.8) cm) and the highest proportion of central type (85.3%, 157/184), and were more prone to lymph node metastasis. LCNEC had the oldest age ((66±16) years), the largest proportion of smoking history (14/16) and peripheral type (12/16). CD56 in SCLC (95.7%, 176/184) and LCNEC(15/16) mostly showed positive expression, while the positive expression rates of CgA and TTF-1 were higher in TC and AC (96.6%(57/59), 93.2%(55/59) and 95.2%(20/21), 90.5%(19/21), respectively). The Ki-67 positive index and SUV max of the four subtypes were significantly different, with the highest in SCLC group and the lowest in TC group. Conclusion:Different pathological subtypes of BP-NETs manifest different clinicopathological features and imaging presentation on 18F-FDG PET/CT, which are useful for understanding their characteristics.
