Evidence map›Paper›PMID 29476168›Full record

ArticleScientific reports2018

Semi-quantitative Analysis of EBUS Elastography as a Feasible Approach in Diagnosing Mediastinal and Hilar Lymph Nodes of Lung Cancer Patients.

Honghai Ma, Zhou An, Pinghui Xia, Jinlin Cao, Qiqi Gao, Guoping Ren, Xing Xue, Xianhua Wang, Zhehao He, Jian Hu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% 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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  8. [Current Status and Development of Interventional Techniques for Pulmonary Diseases].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2020
    Review
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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

10 authors at 3 institutions in 1 country.

Honghai MaDepartment of Thoracic Surgery, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
Zhou AnDepartment of Thoracic Surgery, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
Pinghui XiaDepartment of Thoracic Surgery, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
Jinlin CaoDepartment of Thoracic Surgery, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
Qiqi GaoDepartment of Pathology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
Guoping RenDepartment of Pathology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
Xing XueDepartment of Radiology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
Xianhua WangDepartment of Operation, Hangzhou Chinese Traditional Medicine Hospital, Hangzhou, 310003, China.
Zhehao HeDepartment of Thoracic Surgery, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
Jian HuDepartment of Thoracic Surgery, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China. dr_hujian@zju.edu.cn.
Zhejiang University · CNFirst Affiliated Hospital Zhejiang University · CNHangzhou Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to semi-quantitatively evaluate the elastographic imaging color distribution of mediastinal and hilar lymph nodes (LNs), and explored its utility in helping define malignant and benign LNs for lung cancer patients. We prospectively collected patients who underwent preoperative mediastinal staging of suspected lung cancer by EBUS-TBNA. We analyzed the elastography color distribution of each LN and calculated the blue color proportion (BCP). The LN elastographic patterns were compared with the final EBUS-TBNA pathological results. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic value of BCP. We sampled and analyzed 79 LNs from 60 patients. The average BCP in malignant LNs was remarkably higher than that in benign LNs (57.1% versus 30.8%, P < 0.001). The area under the ROC curve (AUC) for the BCP was 0.86 (95% CI: 0.78-0.94). The best cutoff BCP for differentiating between benign and malignant LNs was determined as 36.7%. All the 16 LNs (20.3%) with a BCP lower than 27.9% were diagnosed as benign tissues. Our study suggests that elastography is a feasible technique that may safely help to predict LN metastasis during EBUS-TBNA. We found a clear BCP cutoff value to help define positive and negative LNs.

Indexed as

Elasticity Imaging TechniquesAgedBiopsy, Fine-NeedleBronchoscopyFemaleHumansImage-Guided BiopsyLung NeoplasmsLymphatic MetastasisLymph NodesMaleMediastinal NeoplasmsMediastinumMiddle AgedUltrasonography

Identifiers

PMID29476168
PMCPMC5824841
OpenAlexW2805753071

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.