Evidence map›Paper›PMID 39542917›Full record

ArticleDiscover oncology2024

Correlation between glucose metabolism and body mass index in tumor lesions of patients with lung cancer.

Zhengqin Zhao, Xiaona Wang, Dong Wang, Jiahui Zhang, Hongjie Yang

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zhengqin ZhaoDepartment of Nuclear Medicine, Affiliated Hospital of Guangdong Medical University, No.57, South Renmin Avenue, xiashan district, Zhanjiang, 524002, Guangdong, China. zhaozhengqin2021gd@163.com.
Xiaona WangHenan Key Laboratory of Children's Genetics and Metabolic Diseases, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Neurodevelopment Engineering Research Center, Zhengzhou, 450018, China.
Dong WangDepartment of Nuclear Medicine, Affiliated Hospital of Guangdong Medical University, No.57, South Renmin Avenue, xiashan district, Zhanjiang, 524002, Guangdong, China.
Jiahui ZhangDepartment of nuclear medicine, Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, 518104, Guangdong, China.
Hongjie YangDepartment of Nuclear Medicine, Peking university shenzhen hospital, Shenzhen, 518036, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLung cancer, along with various other cancers, is characterized by increased glucose metabolism. The maximum standardized uptake value (SUVmax), derived from positron emission tomography-computed tomography (PET-CT), serves as an indicator of glucose metabolic activity in tumor lesions. This study aimed to evaluate the correlation between body mass index (BMI) and SUVmax in individuals with lung cancer.

methodsThis study included 41 patients with lung cancer, who were divided into two groups: Group 1 (n = 21), with a BMI greater than 22.4, and Group 2 (n = 20), with a BMI less than 22.4. All participants underwent 18F-fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG PET-CT) imaging. The SUVmax was calculated by manually delineating the regions of interest. A t-test was performed to assess whether the differences in SUVmax between the two groups were statistically significant.

resultsThe mean SUVmax for Group 1 was 11.20 ± 5.45, while for Group 2 it was 10.65 ± 5.96. Although the mean SUVmax was higher in Group 1 compared to Group 2, the difference between the groups was not statistically significant (P = 0.757).

conclusionThe findings indicate a non-significant difference in glucose metabolism in lung cancer lesions between patients with different BMI levels. These results offer valuable insights into the metabolic characteristics of lung cancer and contribute to a deeper understanding of its pathophysiology.

Indexed as

Body mass indexGlucose metabolismPET-CTSUVmax

Identifiers

PMID39542917
PMCPMC11564591

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.