Association Analysis of Maximum Standardized Uptake Values Based on <sup>18</sup>F-FDG PET/CT and EGFR Mutation Status in Lung Adenocarcinoma
(1) Background: To investigate the association between maximum standardized uptake value (SUV<sub>max</sub>) based on <sup>18</sup>F-FDG PET/CT and EGFR mutation status in lung adenocarcinoma. (2) Methods: A total of 366 patients were retrospectively collected and divided int...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
|
| Series: | Journal of Personalized Medicine |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4426/13/3/396 |
| _version_ | 1797610834024726528 |
|---|---|
| author | Jianxiong Gao Yunmei Shi Rong Niu Xiaoliang Shao Xiaonan Shao |
| author_facet | Jianxiong Gao Yunmei Shi Rong Niu Xiaoliang Shao Xiaonan Shao |
| author_sort | Jianxiong Gao |
| collection | DOAJ |
| description | (1) Background: To investigate the association between maximum standardized uptake value (SUV<sub>max</sub>) based on <sup>18</sup>F-FDG PET/CT and EGFR mutation status in lung adenocarcinoma. (2) Methods: A total of 366 patients were retrospectively collected and divided into the EGFR mutation group (<i>n</i> = 228) and EGFR wild-type group (<i>n</i> = 138) according to their EGFR mutation status. The two groups’ general information and PET/CT imaging parameters were compared. A hierarchical binary logistic regression model was used to assess the interaction effect on the relationship between SUV<sub>max</sub> and EGFR mutation in different subgroups. Univariate and multivariate logistic regression was used to analyze the association between SUV<sub>max</sub> and EGFR mutation. After adjusting for confounding factors, a generalized additive model and smooth curve fitting were applied to address possible non-linearities. (3) Results: Smoking status significantly affected the relationship between SUV<sub>max</sub> and EGFR mutation (<i>p</i> for interaction = 0.012), with an interaction effect. After adjusting for age, gender, nodule type, bronchial sign, and CEA grouping, in the smoking subgroup, curve fitting results showed that the relationship between SUV<sub>max</sub> and EGFR mutation was approximately linear (df = 1.000, c<sup>2</sup> = 3.897, <i>p</i> = 0.048); with the increase in SUV<sub>max</sub>, the probability of EGFR mutation gradually decreased, and the OR value was 0.952 (95%CI: 0.908–0.999; <i>p</i> = 0.045). (4) Conclusions: Smoking status can affect the relationship between SUV<sub>max</sub> and EGFR mutation status in lung adenocarcinoma, especially in the positive smoking history subgroup. Fully understanding the effect of smoking status will help to improve the accuracy of SUV<sub>max</sub> in predicting EGFR mutations. |
| first_indexed | 2024-03-11T06:19:35Z |
| format | Article |
| id | doaj.art-d786cae329c548de82044c7cb83d7751 |
| institution | Directory Open Access Journal |
| issn | 2075-4426 |
| language | English |
| last_indexed | 2024-03-11T06:19:35Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Personalized Medicine |
| spelling | doaj.art-d786cae329c548de82044c7cb83d77512023-11-17T12:01:45ZengMDPI AGJournal of Personalized Medicine2075-44262023-02-0113339610.3390/jpm13030396Association Analysis of Maximum Standardized Uptake Values Based on <sup>18</sup>F-FDG PET/CT and EGFR Mutation Status in Lung AdenocarcinomaJianxiong Gao0Yunmei Shi1Rong Niu2Xiaoliang Shao3Xiaonan Shao4Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou 213003, ChinaDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou 213003, ChinaDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou 213003, ChinaDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou 213003, ChinaDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China(1) Background: To investigate the association between maximum standardized uptake value (SUV<sub>max</sub>) based on <sup>18</sup>F-FDG PET/CT and EGFR mutation status in lung adenocarcinoma. (2) Methods: A total of 366 patients were retrospectively collected and divided into the EGFR mutation group (<i>n</i> = 228) and EGFR wild-type group (<i>n</i> = 138) according to their EGFR mutation status. The two groups’ general information and PET/CT imaging parameters were compared. A hierarchical binary logistic regression model was used to assess the interaction effect on the relationship between SUV<sub>max</sub> and EGFR mutation in different subgroups. Univariate and multivariate logistic regression was used to analyze the association between SUV<sub>max</sub> and EGFR mutation. After adjusting for confounding factors, a generalized additive model and smooth curve fitting were applied to address possible non-linearities. (3) Results: Smoking status significantly affected the relationship between SUV<sub>max</sub> and EGFR mutation (<i>p</i> for interaction = 0.012), with an interaction effect. After adjusting for age, gender, nodule type, bronchial sign, and CEA grouping, in the smoking subgroup, curve fitting results showed that the relationship between SUV<sub>max</sub> and EGFR mutation was approximately linear (df = 1.000, c<sup>2</sup> = 3.897, <i>p</i> = 0.048); with the increase in SUV<sub>max</sub>, the probability of EGFR mutation gradually decreased, and the OR value was 0.952 (95%CI: 0.908–0.999; <i>p</i> = 0.045). (4) Conclusions: Smoking status can affect the relationship between SUV<sub>max</sub> and EGFR mutation status in lung adenocarcinoma, especially in the positive smoking history subgroup. Fully understanding the effect of smoking status will help to improve the accuracy of SUV<sub>max</sub> in predicting EGFR mutations.https://www.mdpi.com/2075-4426/13/3/396lung adenocarcinomapositron emission tomography computed tomographyfluorodeoxyglucose F18SUV<sub>max</sub>EGFR |
| spellingShingle | Jianxiong Gao Yunmei Shi Rong Niu Xiaoliang Shao Xiaonan Shao Association Analysis of Maximum Standardized Uptake Values Based on <sup>18</sup>F-FDG PET/CT and EGFR Mutation Status in Lung Adenocarcinoma Journal of Personalized Medicine lung adenocarcinoma positron emission tomography computed tomography fluorodeoxyglucose F18 SUV<sub>max</sub> EGFR |
| title | Association Analysis of Maximum Standardized Uptake Values Based on <sup>18</sup>F-FDG PET/CT and EGFR Mutation Status in Lung Adenocarcinoma |
| title_full | Association Analysis of Maximum Standardized Uptake Values Based on <sup>18</sup>F-FDG PET/CT and EGFR Mutation Status in Lung Adenocarcinoma |
| title_fullStr | Association Analysis of Maximum Standardized Uptake Values Based on <sup>18</sup>F-FDG PET/CT and EGFR Mutation Status in Lung Adenocarcinoma |
| title_full_unstemmed | Association Analysis of Maximum Standardized Uptake Values Based on <sup>18</sup>F-FDG PET/CT and EGFR Mutation Status in Lung Adenocarcinoma |
| title_short | Association Analysis of Maximum Standardized Uptake Values Based on <sup>18</sup>F-FDG PET/CT and EGFR Mutation Status in Lung Adenocarcinoma |
| title_sort | association analysis of maximum standardized uptake values based on sup 18 sup f fdg pet ct and egfr mutation status in lung adenocarcinoma |
| topic | lung adenocarcinoma positron emission tomography computed tomography fluorodeoxyglucose F18 SUV<sub>max</sub> EGFR |
| url | https://www.mdpi.com/2075-4426/13/3/396 |
| work_keys_str_mv | AT jianxionggao associationanalysisofmaximumstandardizeduptakevaluesbasedonsup18supffdgpetctandegfrmutationstatusinlungadenocarcinoma AT yunmeishi associationanalysisofmaximumstandardizeduptakevaluesbasedonsup18supffdgpetctandegfrmutationstatusinlungadenocarcinoma AT rongniu associationanalysisofmaximumstandardizeduptakevaluesbasedonsup18supffdgpetctandegfrmutationstatusinlungadenocarcinoma AT xiaoliangshao associationanalysisofmaximumstandardizeduptakevaluesbasedonsup18supffdgpetctandegfrmutationstatusinlungadenocarcinoma AT xiaonanshao associationanalysisofmaximumstandardizeduptakevaluesbasedonsup18supffdgpetctandegfrmutationstatusinlungadenocarcinoma |