Evidence map›Paper›PMID 40038390›Full record

ArticleScientific reports2025

Correlation between imaging features of pure ground-glass opacities and pathological subtypes of lung minimally invasive adenocarcinoma and precursor lesions.

Yanqiu Zhu, Cui Yan, Wenjie Tang, Yani Duan, Xiuzhen Chen, Yunxu Dong, Yuefei Guo, Weimin Liu, Jie Qin

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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

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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

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

9 authors.

Yanqiu ZhuDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China.
Cui YanDivision of Cardiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, No. 261 Longxi Road, Liwan District, Guangzhou, 510130, China.
Wenjie TangDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China.
Yani DuanDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China.
Xiuzhen ChenDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China.
Yunxu DongDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China.
Yuefei GuoDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China.
Weimin LiuDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China.
Jie QinDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China. qinjie@mail.sysu.edu.cn.

Funding

Five-five Project of the Third Affiliated Hospital of Sun Yat-sen University 2023WW605the National Natural Science Foundation of China Special Program for Cultivation of the Third Affiliated Hospital of Sun Yat-sen University 2021GZRPYMS06
6 · The paper itself

Abstract

This study aimed to investigate the relationship between imaging features of pure ground-glass opacities (pGGOs) and the pathological subtypes of minimally invasive adenocarcinoma (MIA) and precursor lesions. A retrospective analysis was conducted on data from 1521 patients diagnosed with GGOs as lung adenocarcinoma or precursor lesions between January 2015 and March 2021. The pGGOs were categorized into atypical adenomatous hyperplasia (AAH) / adenocarcinoma in situ (AIS) and MIA groups. Clinical information and CT imaging features were collected. Statistical analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis were performed. A total of 127 patients with 139 pGGOs were included. Maximum radiodensity, minimum radiodensity, mean radiodensity, variance, and skewness showed significant differences between the two groups. Maximum radiodensity and maximum cross-sectional area were identified as risk factors for pathology. The logistic regression model yielded an area under the curve (AUC) of 0.747 (95% CI, 0.666-0.816) for predicting pathological subtypes. The intensity features of pGGOs were found to be significantly different between AAH/AIS and MIA groups. Maximum radiodensity and skewness were independent risk factors for pathology. However, these features did not exhibit satisfactory diagnostic efficiency.

Indexed as

Adenocarcinoma of LungLung NeoplasmsPrecancerous ConditionsAdenocarcinoma in SituAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesROC CurveTomography, X-Ray ComputedLung adenocarcinomaPathologyPure ground-glass opacityTomographyX-Ray computed

Identifiers

PMID40038390
PMCPMC11880195

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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.