Predictive value of multiple metabolic and heterogeneity parameters of 18F-FDG PET/CT for EGFR mutations in non-small cell lung cancer

Shi, Aiqi; Wang, Jianling; Wang, Yuzhu; Guo, Guorong; Fan, Chou-Chou; Liu, Jiangyan

doi:10.1007/s12149-022-01718-8

Cited by 8 publications

(6 citation statements)

References 30 publications

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“…Their results were not comparable to our findings, but it is difficult to compare them due to the different methodologies used. Shi et al calculated the coefficient of variation as a heterogeneity index in NSCLC and found that a high coefficient of variation was significantly related to EGFR mutations 15 . Although these studies have investigated intratumor heterogeneity, the calculation methods vary across studies.…”

Section: Discussionmentioning

confidence: 99%

“…In recent years, beyond simple measurements of tumor intensity of radioactivity, such as SUVmax, there is growing recognition of measures of tumor heterogeneity. To the best of our knowledge, to date, few published studies have focused on the tumor heterogeneity from PET images for identifying the EGFR mutation status 11 – 15 . Therefore, we evaluated the relationship between FDG PET texture indices and the EGFR mutation status in patients with newly diagnosed lung adenocarcinoma.…”

Section: Introductionmentioning

confidence: 99%

“…In our recent study on NSCLC, the SUVmax also failed to identify the EGFR mutation status 10 .In recent years, beyond simple measurements of tumor intensity of radioactivity, such as SUVmax, there is growing recognition of measures of tumor heterogeneity. To the best of our knowledge, to date, few published studies have focused on the tumor heterogeneity from PET images for identifying the EGFR mutation status [11][12][13][14][15] .…”

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confidence: 99%

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FDG PET texture indices as imaging biomarkers for epidermal growth factor receptor mutation status in lung adenocarcinoma

Ishimura

Norikane

Mitamura

et al. 2023

Sci Rep

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Identifying the epidermal growth factor receptor (EGFR) mutation status is important for the optimal treatment of patients with EGFR mutations. We investigated the relationship between 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) texture indices and EGFR mutation status in patients with newly diagnosed lung adenocarcinoma. We retrospectively analyzed data of patients with newly diagnosed lung adenocarcinoma who underwent pretreatment FDG PET/computed tomography and EGFR mutation testing between August 2014 and November 2020. Patients were divided into mutated EGFR and wild-type EGFR groups. The maximum standardized uptake value (SUVmax) and 31 texture indices for the primary tumor were calculated from PET images and compared between the two groups. Of the 66 patients included, 22 had mutated EGFR and 44 had wild-type EGFR. The SUVmax did not significantly differ between the two groups. Among the 31 evaluated texture indices, the following five showed a statistically significant difference between the groups: correlation (P = 0.003), gray-level nonuniformity for run (P = 0.042), run length nonuniformity (P = 0.02), coarseness (P = 0.006), and gray-level nonuniformity for zone (P = 0.04). Based on the preliminary results of this study in a small patient population, FDG PET texture indices may be potential imaging biomarkers for the EGFR mutation status in patients with newly diagnosed lung adenocarcinoma.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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FDG PET texture indices as imaging biomarkers for epidermal growth factor receptor mutation status in lung adenocarcinoma

Ishimura

Norikane

Mitamura

et al. 2023

Sci Rep

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“…Several semiquantitative metabolic parameters, such as SUV max , metabolic tumor volume (MTV), and total lesion glycolysis (TLG), which reflect 18 F-FDG metabolic activity as measured by PET/CT, have been shown to be effective in predicting the status of EGFR mutation in patients with NSCLC [ 11 ]. However, some studies have found that MTV and TLG are not independent predictors of EGFR mutation status in NSCLC patients, whereas SUV max is [ 12 , 13 , 14 ]. Therefore, SUV max may be a more reliable and convenient parameter for assessing the relationship between EGFR mutation status and glucose metabolism in NSCLC.…”

Section: Introductionmentioning

confidence: 99%

Association Analysis of Maximum Standardized Uptake Values Based on 18F-FDG PET/CT and EGFR Mutation Status in Lung Adenocarcinoma

Gao

Shi

Niu

et al. 2023

JPM

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(1) Background: To investigate the association between maximum standardized uptake value (SUVmax) based on 18F-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 (n = 228) and EGFR wild-type group (n = 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 SUVmax and EGFR mutation in different subgroups. Univariate and multivariate logistic regression was used to analyze the association between SUVmax 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 SUVmax and EGFR mutation (p 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 SUVmax and EGFR mutation was approximately linear (df = 1.000, c2 = 3.897, p = 0.048); with the increase in SUVmax, the probability of EGFR mutation gradually decreased, and the OR value was 0.952 (95%CI: 0.908–0.999; p = 0.045). (4) Conclusions: Smoking status can affect the relationship between SUVmax 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 SUVmax in predicting EGFR mutations.

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“…Some studies [ 12 , 13 ] support this hypothesis and achieved similar results using dual-phase 18 F-FDG-PET scanning. Recent research has focused on using PET/CT in the diagnosis, staging, and follow-up of patients and differentiating between different histological subtypes and tumor grades [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Role of multiple dual-phase 18F-FDG PET/CT metabolic parameters in differentiating adenocarcinomas from squamous cell carcinomas of the lung

Liu,

Zou,

Sun

et al. 2023

Heliyon

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Predictive value of multiple metabolic and heterogeneity parameters of 18F-FDG PET/CT for EGFR mutations in non-small cell lung cancer

Cited by 8 publications

References 30 publications

FDG PET texture indices as imaging biomarkers for epidermal growth factor receptor mutation status in lung adenocarcinoma

FDG PET texture indices as imaging biomarkers for epidermal growth factor receptor mutation status in lung adenocarcinoma

Association Analysis of Maximum Standardized Uptake Values Based on 18F-FDG PET/CT and EGFR Mutation Status in Lung Adenocarcinoma

Role of multiple dual-phase 18F-FDG PET/CT metabolic parameters in differentiating adenocarcinomas from squamous cell carcinomas of the lung

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