Literature DB >> 24169686

The difference in relationship between 18F-FDG uptake and clinicopathological factors on thyroid, esophageal, and lung cancers.

Hayato Kaida1, Akihiko Kawahara, Masanobu Hayakawa, Satoshi Hattori, Seiji Kurata, Kiminori Fujimoto, Koichi Azuma, Yasumitsu Hirose, Shinzo Takamori, Yuji Hiromatsu, Tadashi Nakashima, Hiromasa Fujita, Masayoshi Kage, Naofumi Hayabuchi, Masatoshi Ishibashi.   

Abstract

OBJECTIVES: The aim of this study was to reveal the differences in clinicopathological factors affecting maximum standardized uptake value (SUVmax) between esophageal squamous cell carcinoma (ESCC), non-small-cell lung cancer (NSCLC), and papillary thyroid cancer (PTC).
METHODS: This study consisted of 119 patients with ESCC (n=43), PTC (n=40), or NSCLC (n=36). We investigated the correlations between SUVmax and clinicopathological factors by using Spearman's correlation coefficient and the Kruskal-Wallis test. Multiple regression analysis was used to investigate which clinicopathological factors significantly affected SUVmax in each cancer type.
RESULTS: The SUVmax correlated with glucose transporter-1 (GLUT-1) expression in NSCLC (r=0.536, P=0.007) and ESCC (r=0.597, P<0.001) but not in PTC. The SUVmax correlated with Ki-67 expression in NSCLC (r=0.381, P=0.022) and PTC (r=0.374, P=0.017) but not in ESCC. A high SUVmax was correlated with a higher pathological T stage (p-T stage) in NSCLC (r=0.536) and ESCC (r=0.597, both P<0.001) but not in PTC. An elevated SUVmax was significantly associated with pathological lymph node status (p-N) in NSCLC, but not in ESCC and PTC. In multiple regression analysis, p-T stage and GLUT-1 expression were statistically significant factors in ESCC, and p-T stage was a statistically significant factor in NSCLC. In PTC, Ki-67 showed a statistically significant association with SUVmax.
CONCLUSION: SUVmax in NSCLC depended on the tumor invasion area; SUVmax in ESCC depended on tumor depth and GLUT-1 expression; and SUVmax in PTC might be associated with cell proliferation. The biological factors affecting SUVmax differ according to tumor type.

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Year:  2014        PMID: 24169686     DOI: 10.1097/MNM.0000000000000019

Source DB:  PubMed          Journal:  Nucl Med Commun        ISSN: 0143-3636            Impact factor:   1.690


  8 in total

1.  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

2.  [18F]FDG Uptake and Expression of Immunohistochemical Markers Related to Glycolysis, Hypoxia, and Proliferation in Indeterminate Thyroid Nodules.

Authors:  Elizabeth J de Koster; Adriana C H van Engen-van Grunsven; Johan Bussink; Cathelijne Frielink; Lioe-Fee de Geus-Oei; Benno Kusters; Hans Peters; Wim J G Oyen; Dennis Vriens
Journal:  Mol Imaging Biol       Date:  2022-10-17       Impact factor: 3.484

3.  Correlation between the Uptake of 18F-Fluorodeoxyglucose (18F-FDG) and the Expression of Proliferation-Associated Antigen Ki-67 in Cancer Patients: A Meta-Analysis.

Authors:  Sheng-Ming Deng; Wei Zhang; Bin Zhang; Yin-Yin Chen; Ji-Hui Li; Yi-Wei Wu
Journal:  PLoS One       Date:  2015-06-03       Impact factor: 3.240

4.  Standardized Uptake Values Derived from 18F-FDG PET May Predict Lung Cancer Microvessel Density and Expression of KI 67, VEGF, and HIF-1α but Not Expression of Cyclin D1, PCNA, EGFR, PD L1, and p53.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  Contrast Media Mol Imaging       Date:  2018-06-06       Impact factor: 3.161

5.  Associations between GLUT expression and SUV values derived from FDG-PET in different tumors-A systematic review and meta analysis.

Authors:  Hans-Jonas Meyer; Andreas Wienke; Alexey Surov
Journal:  PLoS One       Date:  2019-06-17       Impact factor: 3.240

6.  The role of primary tumor SUVmax in the diagnosis of invasion depth: a step toward clinical T2N0 esophageal cancer.

Authors:  Dong Lin; Guobing Liu; Dongxian Jiang; Yangli Yu; Hao Wang; Hongcheng Shi; Lijie Tan
Journal:  Ann Transl Med       Date:  2021-01

Review 7.  A review on immunohistochemical and histopathologic validation in PET-CT findings with consideration to microRNAs.

Authors:  Marius-Ioan Bădan; Eduard-Alexandru Bonci; Doina Piciu
Journal:  Med Pharm Rep       Date:  2019-10-25

8.  Influencing Factors and Prognostic Value of 18F-FDG PET/CT Metabolic and Volumetric Parameters in Non-Small Cell Lung Cancer.

Authors:  Lixia Zhang; Zhe Ren; Caiyun Xu; Qiushuang Li; Jinyan Chen
Journal:  Int J Gen Med       Date:  2021-07-21
  8 in total

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