Evidence map›Paper›PMID 28423576›Full record

ArticleOncotarget2017

Solitary ground-glass opacity nodules of stage IA pulmonary adenocarcinoma: combination of 18F-FDG PET/CT and high-resolution computed tomography features to predict invasive adenocarcinoma.

Jun Zhou, Yanli Li, Yiqiu Zhang, Guobing Liu, Hui Tan, Yan Hu, Jie Xiao, Hongcheng Shi

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. [Advance in Diagnose and Treatment Strategies of Adenocarcinoma in Situ].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2017
    Pooled it
  2. Trial
  3. Article
  4. [Annals of nuclear medicine · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. [Diagnosis and Treatment of Pulmonary Ground-glass Nodules].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2019
    Review
  10. Clinical rheumatology · 2018
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Jun ZhouDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.
Yanli LiDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.
Yiqiu ZhangDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.
Guobing LiuDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.
Hui TanDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.
Yan HuDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.
Jie XiaoDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.
Hongcheng ShiDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China 200032.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNZhongshan Hospital · CNFudan University · CNShanghai Institute of Hematology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the performance of combined 18F-FDG Positron Emission Tomography/Computed Tomography with high-resolution CT for differentiating invasive adenocarcinoma from adenocarcinoma in situ (pre-invasive lesion) or minimally invasive adenocarcinoma in stage IA lung cancer patients with solitary ground-glass opacity nodules. This retrospective study enrolled 58 consecutive stage IA pulmonary adenocarcinoma patients with solitary ground-glass opacity nodules. The characteristics and measurements of the ground-glass opacity nodules as pure ground-glass opacity nodules and mixed ground-glass opacity nodules in the pre-invasive or minimally invasive adenocarcinoma and invasive adenocarcinoma groups on Positron Emission Tomography/Computed Tomography and high-resolution CT were compared and analyzed. Ground-glass opacity nodules in the pre-invasive or minimally invasive adenocarcinoma group preferentially manifested as pure ground-glass opacity nodule (p < 0.01) compared to the invasive adenocarcinoma group. While cystic appearance was more common in the invasive adenocarcinoma group (p < 0.05). Significant differences were found in the diameter of the ground-glass opacity nodule itself and its solid component, and consolidation/tumor ratio between the two groups. The sensitivity in predicting invasive adenocarcinoma was higher with a combined consolidation/tumor ratio > 0.38 and SUVmax > 1.46 in mixed ground-glass opacity nodule when compared to those of SUVmax > 0.95 alone or consolidation/tumor ratio> 0.39 alone (both p < 0.05). For a mixed ground-glass opacity nodule combined consolidation/tumor ratio > 0.38 and SUVmax > 1.46 appears to better predict invasive adenocarcinoma in stage IA lung cancer patients with solitary ground-glass opacity nodules [corrected].

Indexed as

Fluorodeoxyglucose F18AdenocarcinomaAdenocarcinoma of LungAdultAgedAged, 80 and overDiagnosis, DifferentialFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm InvasivenessNeoplasm StagingPositron Emission Tomography Computed TomographyRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticalsground-glass opacity nodulehigh-resolution computed tomographyinvasive adenocarcinomalung cancerpositron emission tomography/computed tomography

Identifiers

PMID28423576
PMCPMC5410306
OpenAlexW2590058832

What OpenQuestion holds

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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.