Evidence map›Paper›PMID 33816190›Full record

ArticleQuantitative imaging in medicine and surgery2021

Characterization of

Jie Lin, Ling Wang, Xiaowei Ji, Xiangwu Zheng, Kun Tang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Quantitative assessment of intratumoral 2-[Quantitative imaging in medicine and surgery · 2022
    Article
  3. Frontiers in oncology · 2022
    Article
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

5 authors.

Jie LinDepartment of PET/CT, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Ling WangDepartment of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xiaowei JiDepartment of PET/CT, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xiangwu ZhengDepartment of PET/CT, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Kun TangDepartment of PET/CT, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to investigate the value of visual assessment of

methodsA total of 301 patients with indeterminate pulmonary nodules or masses who underwent

resultsThe V-FMSD results showed that 180 (92.8%) malignant lesions had a score of ≥3 and 78 (72.9%) benign lesions had a score of ≤2. This indicated that the FMSD in the proximal region of malignant lesions was significantly higher than that of the distal region, and the FMSD in the proximal region of benign lesions was significantly lower than that of the distal region. V-FMSD had a specificity of 72.9%, which was markedly higher than those of the maximum standard uptake value (SUV

conclusionsOur study found that pulmonary benign and malignant lesions have distinct FMSD characteristics. V-FMSD can therefore be used as a novel auxiliary marker to improve the diagnostic accuracy of hypermetabolic indeterminate pulmonary nodules and masses.

Indexed as

18F-fluorodeoxyglucose (18F-FDG)cancerlung nodulesmaximum standard uptake value (SUVmax)metabolicpositron emission tomography

Identifiers

PMID33816190
PMCPMC7930690

What OpenQuestion holds

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Registered trials

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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.