Evidence map›Paper›PMID 40084511›Full record

ArticleNuclear medicine communications2025

Prognostic significance of total metabolic tumor volume on baseline 18 F-FDG PET/CT in patients with lung adenocarcinoma: further stratification of the ninth edition of TNM staging subgroups.

Ruiqiu Zhang, Xiaohui Zhang, Qiaoling Gao, Han Zhang, Lianyu Gu, Xiuyu Guo, Jingfeng Zhang, Jianjun Zheng, Maoqing Jiang

Abstract read
In one paragraph

Article in Nuclear medicine communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ruiqiu ZhangGraduate Joint Training Base, Zhejiang Chinese Medical University.
Xiaohui ZhangDepartments of Radiology.
Qiaoling GaoDepartments of Radiology.
Han ZhangSchool of Medicine, Shaoxing University, Shaoxing, China.
Lianyu GuSchool of Medicine, Shaoxing University, Shaoxing, China.
Xiuyu GuoDepartments of Radiology.
Jingfeng ZhangGraduate Joint Training Base, Zhejiang Chinese Medical University.
Jianjun ZhengGraduate Joint Training Base, Zhejiang Chinese Medical University.
Maoqing JiangGraduate Joint Training Base, Zhejiang Chinese Medical University.

Funding

Exploration Project of Zhejiang Provincial Natural Science Foundation of China LTGY23H180004Ningbo Youth Science and Technology Innovation Leading Talent Project 2023QL057Zhu Xiu Shan Talent Project of Ningbo No.2 Hospital, Ningbo, China 2023HMJQ29
6 · The paper itself

Abstract

backgroundThis study aimed to investigate the prognostic value of baseline total metabolic tumor volume (TMTV) on 18 F-fluorodeoxyglucose positron emission tomography/computed tomography and its potential for further stratification within the ninth tumor-node-metastasis (TNM) staging system in patients with lung adenocarcinoma (LUAD).

methodsA cohort of 384 patients with LUAD who had undergone pretreatment PET/CT were included in this retrospective study. The optimal cutoff value for TMTV was determined through analysis of time-dependent receiver operating characteristic curves. The analysis of overall survival (OS) was conducted utilizing Kaplan-Meier curves. Predictive capacity was evaluated using the C statistic.

resultsThe optimal cutoff value for TMTV was 40.13 ml. The survival rates of patients varied significantly across stages I ( n  = 164), II ( n  = 37), III ( n  = 46), and IV ( n  = 137); however, there was no statistically significant difference between stages II and III ( P  = 0.440). In stages II-III and IV, the 2-year OS rates for patients with TMTV less than 40.13 ml were significantly higher at 81.7 and 86.7%, respectively, compared with patients with TMTV greater than equal to 40.13 ml who had rates of only 56.5 and 42.5%. No patients with stage I presented TMTV greater than or equal to 40.13 ml, and the 2-year OS rate was 98.3%. The C index did not reveal a significant difference between TNM and TMTV in their predictive ability for OS (0.83 vs. 0.85, P  = 0.159).

conclusionThe TNM staging system demonstrates robust prognostic utility in patients with LUAD, while the incorporation of baseline TMTV may offer additional risk stratification within distinct TNM stages.

Indexed as

Adenocarcinoma of LungFluorodeoxyglucose F18Lung NeoplasmsPositron Emission Tomography Computed TomographyTumor BurdenAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesFluorodeoxyglucose F18lung adenocarcinomametabolic tumor volumePET/CTprognosisTNM stage

Identifiers

PMID40084511
PMCPMC12548818

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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 OpenQuestion graph.