Evidence map›Paper›PMID 35978977›Full record

ArticleWorld journal of radiology2022

Evaluation of the dual vascular supply patterns in ground-glass nodules with a dynamic volume computed tomography.

Chao Wang, Ning Wu, Zhuang Zhang, Lai-Xing Zhang, Xiao-Dong Yuan

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Article in World journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Chao WangDepartment of Graduate, Hebei North University, Zhangjiakou 075000, Hebei Province, China.
Ning WuDepartment of Radiology, The Eighth Medical Center of the People's Liberation Army General Hospital, Beijing 100091, China.
Zhuang ZhangDepartment of Graduate, Hebei North University, Zhangjiakou 075000, Hebei Province, China.
Lai-Xing ZhangDepartment of Graduate, Hebei North University, Zhangjiakou 075000, Hebei Province, China.
Xiao-Dong YuanDepartment of Radiology, The Eighth Medical Center of the People's Liberation Army General Hospital, Beijing 100091, China. yuanxiaodongzj@163.com.
Hebei North University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, the detection rate of ground-glass nodules (GGNs) has been improved dramatically due to the popularization of low-dose computed tomography (CT) screening with high-resolution CT technique. This presents challenges for the characterization and management of the GGNs, which depends on a thorough investigation and sufficient diagnostic knowledge of the GGNs. In most diagnostic studies of the GGNs, morphological manifestations are used to differentiate benignancy and malignancy. In contrast, few studies are dedicated to the assessment of the hemodynamics,

aimTo assess the dual vascular supply patterns of GGNs on different histopathology and opacities.

methodsForty-seven GGNs from 47 patients were prospectively included and underwent the dynamic volume CT. Histopathologic diagnoses were obtained within two weeks after the CT examination. Blood flow from the bronchial artery [bronchial flow (BF)] and pulmonary artery [pulmonary flow (PF)] as well as the perfusion index (PI) = [PF/(PF + BF)] were obtained using first-pass dual-input CT perfusion analysis and compared respectively between different histopathology and lesion types (pure or mixed GGNs) and correlated with the attenuation values of the lesions using one-way ANOVA, student's

resultsOf the 47 GGNs (mean diameter, 8.17 mm; range, 5.3-12.7 mm), 30 (64%) were carcinoma, 6 (13%) were atypical adenomatous hyperplasia and 11 (23%) were organizing pneumonia. All perfusion parameters (BF, PF and PI) demonstrated no significant difference among the three conditions (all

conclusionThe GGNs are perfused dominantly by the PF regardless of its histopathology while the weight of the BF in the GGN carcinomas increases gradually during the progress of its opacification.

Indexed as

Dual blood supplyGround-glass nodulesLung cancerPerfusion computed tomographyTomographyX-ray computed

Identifiers

PMID35978977
PMCPMC9258305
OpenAlexW4283642529

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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.