Evidence map›Paper›PMID 33157987›Full record

ArticleMedicine2020

The value of percentile base on computed tomography histogram in differentiating the invasiveness of adenocarcinoma appearing as pure ground-glass nodules.

Dacheng Hu, Tao Zhen, Mei Ruan, Linyu Wu

Abstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 authors.

Dacheng HuDepartment of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine.
Tao ZhenDepartment of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine.
Mei RuanDepartment of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine.
Linyu WuDepartment of Radiology, the First Affiliated Hospital of Zhejiang Chinese Medical University.ORCID 0000-0001-7695-0385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the value of percentile base on computed tomography (CT) histogram analysis for distinguishing invasive adenocarcinoma (IA) from adenocarcinoma in situ (AIS) or micro invasive adenocarcinoma (MIA) appearing as pure ground-glass nodules.A total of 42 cases of pure ground-glass nodules that were surgically resected and pathologically confirmed as lung adenocarcinoma between January 2015 and May 2019 were included. Cases were divided into IA and AIS/MIA in the study. The percentile on CT histogram was compared between the 2 groups. Univariate and multivariate logistic regression were used to determine which factors demonstrated a significant effect on invasiveness. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) was used to evaluate the predictive ability of individual characteristics and the combined model.The 4 histogram parameters (25th percentile, 55th percentile, 95th percentile, 97.5th percentile) and the combined model all showed a certain diagnostic value. The combined model demonstrated the best diagnostic performance. The AUC values were as follows: 25th percentile = 0.693, 55th percentile = 0.706, 95th percentile = 0.713, 97.5th percentile = 0.710, and combined model = 0.837 (all P < .05).The percentile of histogram parameters help to improve the ability to radiologically determine the invasiveness of lung adenocarcinoma appearing as pure ground-glass nodules.

Indexed as

Tomography, X-Ray ComputedAdenocarcinoma in SituAdenocarcinoma of LungAdultAgedArea Under CurveDiagnosis, DifferentialFemaleHumansLogistic ModelsLung NeoplasmsMaleMiddle AgedNeoplasm InvasivenessRetrospective Studies

Identifiers

PMID33157987
PMCPMC7647573

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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.