Literature DB >> 32831963

Relationship of EGFR Mutation to Glucose Metabolic Activity and Asphericity of Metabolic Tumor Volume in Lung Adenocarcinoma.

Wonseok Whi1,2, Seunggyun Ha1,3, Sungwoo Bae1,2, Hongyoon Choi1, Jin Chul Paeng1, Gi Jeong Cheon1,4, Keon Wook Kang1,4, Dong Soo Lee1.   

Abstract

PURPOSE: EGFR-mutation (EGFR-mt) is a major oncogenic driver mutation in lung adenocarcinoma (ADC) and is more often observed in Asian population. In lung ADC, some radiomics parameters of FDG PET have been reported to be associated with EGFR-mt. Here, the associations between EGFR-mt and PET parameters, particularly asphericity (ASP), were evaluated in Asian population.
METHODS: Lung ADC patients who underwent curative surgical resection as the first treatment were retrospectively enrolled. EGFR mutation was defined as exon 19 deletion and exon 21 point mutation and was evaluated using surgical specimens. On FDG PET, image parameters of maximal standardized uptake value (SUVmax), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and ASP were obtained. The parameters were compared between EGFR-mt and wild type (EGFR-wt) groups, and the relationships between these PET parameters and EGFR-mt were evaluated.
RESULTS: A total of 64 patients (median age 66 years, M:F = 34:30) were included in the analysis, and 29 (45%) patients showed EGFR-mt. In EGFR-mt group, all the image parameters of SUVmax, MTV, TLG, and ASP were significantly lower than in EGFR-wt group (all adjusted P < 0.050). In univariable logistic regression, SUVmax (P = 0.003) and ASP (P = 0.010) were significant determinants for EGFR-mt, whereas MTV was not (P = 0.690). Multivariate analysis revealed that SUVmax and ASP are independent determinants for EGFR-mt, regardless of inclusion of MTV in the analysis (P < 0.05).
CONCLUSION: In Asian NSCLC/ADC patients, SUVmax, MTV, and ASP on FDG PET are significantly related to EGFR mutation status. Particularly, low SUVmax and ASP are independent determinants for EGFR-mt. © Korean Society of Nuclear Medicine 2020.

Entities:  

Keywords:  Asphericity; EGFR mutation; FDG PET/CT; Lung cancer; Radiogenomics

Year:  2020        PMID: 32831963      PMCID: PMC7429575          DOI: 10.1007/s13139-020-00646-7

Source DB:  PubMed          Journal:  Nucl Med Mol Imaging        ISSN: 1869-3474


  35 in total

1.  Relationships between EGFR mutation status of lung cancer and preoperative factors - are they predictive?

Authors:  Katsuo Usuda; Motoyasu Sagawa; Nozomu Motono; Masakatsu Ueno; Makoto Tanaka; Yuichiro Machida; Munetaka Matoba; Mitsuru Taniguchi; Hisao Tonami; Yoshimichi Ueda; Tsutomu Sakuma
Journal:  Asian Pac J Cancer Prev       Date:  2014

2.  The asphericity of the metabolic tumour volume in NSCLC: correlation with histopathology and molecular markers.

Authors:  Ivayla Apostolova; Kilian Ego; Ingo G Steffen; Ralph Buchert; Heinz Wertzel; H Jost Achenbach; Sandra Riedel; Jens Schreiber; Meinald Schultz; Christian Furth; Thorsten Derlin; Holger Amthauer; Frank Hofheinz; Thomas Kalinski
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-07-28       Impact factor: 9.236

3.  Prognostic impacts of EGFR mutation status and subtype in patients with surgically resected lung adenocarcinoma.

Authors:  Kazuya Takamochi; Shiaki Oh; Takeshi Matsunaga; Kenji Suzuki
Journal:  J Thorac Cardiovasc Surg       Date:  2017-07-29       Impact factor: 5.209

4.  Prognostic value of metabolic tumor volume measured by FDG-PET/CT in patients with cervical cancer.

Authors:  Hyun Hoon Chung; Jae Weon Kim; Kyung Hee Han; Jae Seon Eo; Keon Wook Kang; Noh-Hyun Park; Yong-Sang Song; June-Key Chung; Soon-Beom Kang
Journal:  Gynecol Oncol       Date:  2010-11-24       Impact factor: 5.482

5.  EGFR mutation incidence in non-small-cell lung cancer of adenocarcinoma histology: a systematic review and global map by ethnicity (mutMapII).

Authors:  Anita Midha; Simon Dearden; Rose McCormack
Journal:  Am J Cancer Res       Date:  2015-08-15       Impact factor: 6.166

6.  The Impact of Optimal Respiratory Gating and Image Noise on Evaluation of Intratumor Heterogeneity on 18F-FDG PET Imaging of Lung Cancer.

Authors:  Willem Grootjans; Florent Tixier; Charlotte S van der Vos; Dennis Vriens; Catherine C Le Rest; Johan Bussink; Wim J G Oyen; Lioe-Fee de Geus-Oei; Dimitris Visvikis; Eric P Visser
Journal:  J Nucl Med       Date:  2016-06-09       Impact factor: 10.057

Review 7.  Overall survival benefits of first-line EGFR tyrosine kinase inhibitors in EGFR-mutated non-small-cell lung cancers: a systematic review and meta-analysis.

Authors:  Feng-Che Kuan; Liang-Tseng Kuo; Min-Chi Chen; Cheng-Ta Yang; Chung-Sheng Shi; David Teng; Kuan-Der Lee
Journal:  Br J Cancer       Date:  2015-10-13       Impact factor: 7.640

8.  Prognostic Value of the Sum of Metabolic Tumor Volume of Primary Tumor and Lymph Nodes Using 18F-FDG PET/CT in Patients With Cervical Cancer.

Authors:  Jin Hwa Hong; Kyung Jin Min; Jae Kwan Lee; Kyeong A So; Un Suk Jung; Sungeun Kim; Jae Seon Eo
Journal:  Medicine (Baltimore)       Date:  2016-03       Impact factor: 1.889

9.  Prediction of EGFR and KRAS mutation in non-small cell lung cancer using quantitative 18F FDG-PET/CT metrics.

Authors:  Ryogo Minamimoto; Mehran Jamali; Olivier Gevaert; Sebastian Echegaray; Amanda Khuong; Chuong D Hoang; Joseph B Shrager; Sylvia K Plevritis; Daniel L Rubin; Ann N Leung; Sandy Napel; Andrew Quon
Journal:  Oncotarget       Date:  2017-05-10

10.  Correlations Study Between 18F-FDG PET/CT Metabolic Parameters Predicting Epidermal Growth Factor Receptor Mutation Status and Prognosis in Lung Adenocarcinoma.

Authors:  Bin Yang; Qing Gen Wang; Mengjie Lu; Yingqian Ge; Yu Jun Zheng; Hong Zhu; Guangming Lu
Journal:  Front Oncol       Date:  2019-07-18       Impact factor: 6.244

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Journal:  Cancer Metastasis Rev       Date:  2022-01-14       Impact factor: 9.264

Review 2.  Radiomics in Oncological PET Imaging: A Systematic Review-Part 1, Supradiaphragmatic Cancers.

Authors:  David Morland; Elizabeth Katherine Anna Triumbari; Luca Boldrini; Roberto Gatta; Daniele Pizzuto; Salvatore Annunziata
Journal:  Diagnostics (Basel)       Date:  2022-05-27

3.  Current progress and quality of radiomic studies for predicting EGFR mutation in patients with non-small cell lung cancer using PET/CT images: a systematic review.

Authors:  Meilinuer Abdurixiti; Mayila Nijiati; Rongfang Shen; Qiu Ya; Naibijiang Abuduxiku; Mayidili Nijiati
Journal:  Br J Radiol       Date:  2021-05-12       Impact factor: 3.629

  3 in total

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