Evidence map›Paper›PMID 39078558›Full record

ArticleAnnals of nuclear medicine2024

The value of net influx constant based on FDG PET/CT dynamic imaging in the differential diagnosis of metastatic from non-metastatic lymph nodes in lung cancer.

Xieraili Wumener, Yarong Zhang, Zihan Zang, Xiaoxing Ye, Jiuhui Zhao, Jun Zhao, Ying Liang

Abstract read
In one paragraph

Article in Annals of nuclear medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

7 authors.

Xieraili WumenerDepartment of Graduate School, Dalian Medical University, Dalian, China.
Yarong ZhangDepartment of Nuclear Medicine, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/Shenzhen Clinical Research Center for Cancer, Shenzhen, China.
Zihan ZangShenzhen Middle School, Shenzhen, China.
Xiaoxing YeDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/Shenzhen Clinical Research Center for Cancer, Shenzhen, China.
Jiuhui ZhaoDepartment of Nuclear Medicine, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/Shenzhen Clinical Research Center for Cancer, Shenzhen, China.
Jun Zhao *Department of Nuclear Medicine, Shanghai East Hospital Tongji University, Shanghai, China. petcenter@126.com.
Ying Liang *Department of Nuclear Medicine, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/Shenzhen Clinical Research Center for Cancer, Shenzhen, China. liangying_473@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to evaluate the value of the dynamic and static quantitative metabolic parameters derived from

methodsOne hundred and twenty-one patients with lung nodules or masses detected on chest CT scan underwent

resultsAmong the 126 FDG-avid LNs confirmed by pathology, 70 LNs were metastatic, and 56 LNs were non-metastatic. For ROC analysis, in separate assays, the dynamic metabolic parameter K

conclusionsWhen the cutoff value of K

Indexed as

Fluorodeoxyglucose F18Lung NeoplasmsLymphatic MetastasisPositron Emission Tomography Computed TomographyAdultAgedAged, 80 and overDiagnosis, DifferentialFemaleHumansLymph NodesMaleMiddle AgedRetrospective StudiesROC CurveFluorodeoxyglucose F1818F-FDGDynamic imagingLung cancerLymph nodeNet influx ratePET/CT

Identifiers

PMID39078558
PMCPMC11489159

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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.