Evidence map›Paper›PMID 32256725›Full record

ArticleExperimental and therapeutic medicine2020

Pulmonary adenocarcinoma appearing as ground-glass opacity nodules identified using non-enhanced and contrast-enhanced CT texture analysis: A retrospective analysis.

Jing Ye, Jun Ling, Yan Lv, Juan Chen, Junhui Cai, Mingxiang Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Experimental and therapeutic 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. Trial
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Jing YeDepartment of Medical Imaging, Yangzhou University Clinical College Subei People's Hospital, Yangzhou, Jiangsu 225002, P.R. China.
Jun LingDepartment of Medical Imaging, Yangzhou University Clinical College Subei People's Hospital, Yangzhou, Jiangsu 225002, P.R. China.
Yan LvDepartment of Medical Imaging, Yangzhou University Clinical College Subei People's Hospital, Yangzhou, Jiangsu 225002, P.R. China.
Juan ChenDepartment of Medical Imaging, Yangzhou University Clinical College Subei People's Hospital, Yangzhou, Jiangsu 225002, P.R. China.
Junhui CaiDepartment of Medical Imaging, Yangzhou University Clinical College Subei People's Hospital, Yangzhou, Jiangsu 225002, P.R. China.
Mingxiang ChenDepartment of Medical Imaging, Yangzhou University Clinical College Subei People's Hospital, Yangzhou, Jiangsu 225002, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to investigate the ability of CT-based texture analysis to differentiate invasive adenocarcinoma (IA) from pre-invasive lesions (PIL) or minimally IA (MIA) appearing as ground-glass opacity (GGO) nodules, and to further compare the performance of non-enhanced CT (NECT) images with that of contrast-enhanced CT (CECT) images. A total of 77 patients with GGO nodules and surgically confirmed pulmonary adenocarcinoma were included in the present retrospective study. Each GGO nodule was manually segmented and its texture features were extracted from NECT and CECT images using in-house developed software coded in MATLAB (MathWorks). The independent-samples t

Indexed as

diagnostic imaginglung adenocarcinomasolitary pulmonary nodule

Identifiers

PMID32256725
PMCPMC7086215

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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.