The correlation between metabolic parameters in (18)F-FDG PET-CT and solid and micropapillary histological subtypes in lung adenocarcinoma.
10.3760/cma.j.cn112152-20200804-00710
- VernacularTitle:18F-脱氧葡萄糖正电子发射计算机断层扫描代谢参数与肺腺癌实性型和微乳头型组织学亚型的关系
- Author:
Yue GUO
1
;
Zhi Ming YAO
1
;
Min CHEN
2
;
Cong Xia CHEN
1
Author Information
1. Department of Nuclear Medicine, the Fifth Clinical College of Peking University, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China.
2. Department of Radiology, the Fifth Clinical College of Peking University, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China.
- Publication Type:Journal Article
- Keywords:
(18)F-fluorodeoxy glucose;
Adenocarcinoma;
Lung neoplasms;
Positron emission tomography/computed tomography;
Solid micropapillary histologic subtypes
- MeSH:
Adenocarcinoma of Lung/diagnostic imaging*;
Fluorodeoxyglucose F18/metabolism*;
Humans;
Lung Neoplasms/pathology*;
Multimodal Imaging/methods*;
Positron Emission Tomography Computed Tomography;
Positron-Emission Tomography/methods*;
Prognosis;
Radiopharmaceuticals;
Retrospective Studies;
Tomography, X-Ray Computed/methods*;
Tumor Burden
- From:
Chinese Journal of Oncology
2022;44(6):555-561
- CountryChina
- Language:Chinese
-
Abstract:
Objective: Solid and micropapillary pattern are highly invasive histologic subtypes in lung adenocarcinoma and are associated with poor prognosis while the biopsy sample is not enough for the accurate histological diagnosis. This study aims to assess the correlation and predictive efficacy between metabolic parameters in (18)F-fluorodeoxy glucose positron emission tomography/computed tomography ((18)F-FDG PET-CT), including the maximum SUV (SUV(max)), metabolic tumor volume (MTV), total lesion glycolysis (TLG) and solid and micropapillary histological subtypes in lung adenocarcinoma. Methods: A total of 145 resected lung adenocarcinomas were included. The clinical data and preoperative (18)F-FDG PET-CT data were retrospectively analyzed. Mann-Whitney U test was used for the comparison of the metabolic parameters between solid and micropapillary subtype group and other subtypes group. Receiver operating characteristic (ROC) curve and areas under curve (AUC) were used for evaluating the prediction efficacy of metabolic parameters for solid or micropapillary patterns. Univariate and multivariate analyses were conducted to determine the prediction factors of the presence of solid or micropapillary subtypes. Results: Median SUV(max) and TLG in solid and papillary predominant subtypes group (15.07 and 34.98, respectively) were significantly higher than those in other subtypes predominant group (6.03 and 10.16, respectively, P<0.05). ROC curve revealed that SUV(max) and TLG had good efficacy for prediction of solid and micropapillary predominant subtypes [AUC=0.811(95% CI: 0.715~0.907) and 0.725(95% CI: 0.610~0.840), P<0.05]. Median SUV(max) and TLG in lung adenocarcinoma with the solid or micropapillary patterns (11.58 and 22.81, respectively) were significantly higher than those in tumors without solid and micropapillary patterns (4.27 and 6.33, respectively, P<0.05). ROC curve revealed that SUV(max) and TLG had good efficacy for predicting the presence of solid or micropapillary patterns [AUC=0.757(95% CI: 0.679~0.834) and 0.681(95% CI: 0.595~0.768), P<0.005]. Multivariate logistic analysis showed that the clinical stage (Stage Ⅲ-Ⅳ), SUV(max) ≥10.27 and TLG≥7.12 were the independent predictive factors of the presence of solid or micropapillary patterns (P<0.05). Conclusions: Preoperative SUV(max) and TLG of lung adenocarcinoma have good prediction efficacy for the presence of solid or micropapillary patterns, especially for the solid and micropapillary predominant subtypes and are independent factors of the presence of solid or micropapillary patterns.
