Evidence map›Paper›PMID 30909997›Full record

ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2019

[Application of Metabolic Parameters Measured by ¹⁸F-FDG PET/CT in the Evaluation of the Prognosis of Non-small Cell Lung Cancer].

Tao Wang, Zhenguang Wang

Open access · greenAbstract readReview
In one paragraph

Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Evaluation ofThoracic cancer · 2022
    Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Tao WangDepartment of Nuclear Medicine, the Affiliated Hospital of Qingdao University, Qingdao 266100, China.
Zhenguang WangDepartment of Nuclear Medicine, the Affiliated Hospital of Qingdao University, Qingdao 266100, China.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor-node-metastasis (TNM) staging system is the most important basis for making therapeutic decisions and predicting prognosis of lung cancer patients. The metabolic parameters including standardized uptake value (SUV), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) measured by ¹⁸F-fluorodeoxyglucose-positron emission tomography (¹⁸F-FDG PET/CT) associate with tumor aggressiveness and can provide additional prognostic information. A new staging methodology combines the conventional cTNM with the metabolic tumor burden quantified from the PET images is a better predictor of overall survival with superior stratifying power may help oncologists to make better treatment plans. ¹⁸F-FDG PET/CT image texture analysis, as an emerging research tool, is used to quantify the spatial heterogeneity of radioactive uptake in tumors, thereby to explore the biological characteristics of the tumor. This article reviews developments in evaluating the ¹⁸F-FDG PET/CT metabolic parameters and its role as a prognostic factor for non-small cell lung cancer.
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Indexed as

Fluorodeoxyglucose F18Carcinoma, Non-Small-Cell LungHumansImage Processing, Computer-AssistedLung NeoplasmsPositron Emission Tomography Computed TomographyPrognosisFluorodeoxyglucose F18Lung neoplasmsMetabolic parametersPrognostic evaluation

Identifiers

PMID30909997
PMCPMC6441117
OpenAlexW2992410575

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.