Evidence map›Paper›PMID 31571421›Full record

ArticleThoracic cancer2019

Invasiveness and surgical timing evaluation by clinical features of ground-glass opacity nodules in lung cancers.

Pai-Hsi Chen, Kuo-Ming Chang, Wei-Chi Tseng, Chien-Hung Chen, Jui-I Chao

Abstract read
In one paragraph

Article in Thoracic cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

The trial behind it

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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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. [Progress in Diagnosis and Treatment of Lung Cancer Associated with Cystic Airspaces].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023
    Article
  4. Article
  5. A CT-based nomogram for predicting the risk of adenocarcinomas in patients with subsolid nodule according to the 2021 WHO classification.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022
    Article
  6. Article
  7. 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

5 authors.

Pai-Hsi ChenDepartment of Surgery, Hsinchu Mackay Memorial Hospital, Hsinchu, Taiwan.
Kuo-Ming ChangDepartment of Pathology, Hsinchu Mackay Memorial Hospital, Hsinchu, Taiwan.
Wei-Chi TsengDepartment of Radiology, Hsinchu Mackay Memorial Hospital, Hsinchu, Taiwan.
Chien-Hung ChenDepartment and Institute of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.
Jui-I ChaoDepartment and Institute of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.ORCID 0000-0001-7671-3072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe early stages of lung cancer with ground-glass opacity (GGO) pattern are detectable. However, it remains a challenge for physicians how best to treat GGO nodules as invasive tumors are occasionally found, even in pure GGO nodules. This study identified the invasiveness by the clinical features of the GGO nodules.

methodsA retrospective review of patients with resected GGO nodules from August 2015 to February 2019 was performed. A total of 92 patients were enrolled and gender, age, tumor location, operation times, tumor size, histopathologic and radiological findings were analyzed.

resultsIn this study, the sequential of GGO nodules invasiveness was significantly related to the tumor size and solid component. After regrouping the population into preinvasive and invasive groups, the invasiveness was significantly related to tumor size, solid component, tumor volume and maximal computed tomography (CT) value.

conclusionsThe invasiveness is difficult to evaluate according to the CT features only when the GGO nodules are less than 2 cm and consolidation/tumor ratio (C/T ratio) are less than 0.25. Tumor size and solid component are significant factors for predicting invasiveness. Part-solid GGO nodules with a diameter greater than 1 cm require surgical consideration due to their high risk of invasiveness.

Indexed as

AdultAgedAged, 80 and overFemaleHumansLung NeoplasmsMaleMiddle AgedMultidetector Computed TomographyNeoplasm InvasivenessRetrospective StudiesTumor BurdenGround-glass opacityinvasivenesslung adenocarcinomasurgical intervention

Identifiers

PMID31571421
PMCPMC6825908

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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.