Evidence map›Paper›PMID 31474004›Full record

ArticleThoracic cancer2019

The combination of endobronchial elastography and sonographic findings during endobronchial ultrasound-guided transbronchial needle aspiration for predicting nodal metastasis.

Taiki Fujiwara, Takahiro Nakajima, Terunaga Inage, Yuki Sata, Yuichi Sakairi, Hajime Tamura, Hironobu Wada, Hidemi Suzuki, Masako Chiyo, Ichiro Yoshino

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 31 citations in OpenAlex.

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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 1 institution in 1 country.

Taiki FujiwaraDepartment of General Thoracic Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.ORCID 0000-0002-6228-0808
Takahiro NakajimaDepartment of General Thoracic Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.ORCID 0000-0002-4937-5378
Terunaga InageDepartment of General Thoracic Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.
Yuki SataDepartment of General Thoracic Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.
Yuichi SakairiDepartment of General Thoracic Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.
Hajime TamuraDepartment of General Thoracic Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.
Hironobu WadaDepartment of General Thoracic Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.
Hidemi SuzukiDepartment of General Thoracic Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.
Masako ChiyoDepartment of General Thoracic Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.
Ichiro YoshinoDepartment of General Thoracic Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.
Chiba University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA), the sonographic findings of B-mode imaging, as well as endobronchial elastography, can be obtained noninvasively and used for the prediction of nodal metastasis.

methodsPatients with lung cancer or suspected lung cancer who underwent EBUS-TBNA were recorded prospectively and reviewed retrospectively. Both the B-mode sonographic and elastographic findings were independently evaluated for each lymph node. The sonographic features were classified according to previously published criteria. If oval shape, indistinct margins, homogenous echogenicity, and the absence of coagulation necrosis sign were all observed by B-mode imaging, then the lymph node was judged to be benign by sonographic imaging. In addition, if the stiffer area comprised more than 31% of the entire lymph node area, then the lymph node was judged to be malignant by elastography. We compared the results of these imaging-based predictions with the pathological diagnoses.

resultsThe prevalence of nodal metastasis was 78/228 (34.2%). B-mode sonography predicted 95.8% of benign lymph nodes, and elastography predicted 72.1% of malignant lymph nodes. By combining the two modalities, 59 of 71 (83.1%) lymph nodes judged as malignant by both analyses were pathologically proven to be malignant, and 101 of 105 (96.2%) lymph nodes judged as benign by both analyses were pathologically proven to be benign.

conclusionThe combination of elastography and sonographic findings showed good sensitivity and a high negative predictive value, which may facilitate selecting the most suspicious lymph nodes for biopsy. KEY POINTS: Significant findings of the study. The combination of endobronchial elastography and sonography resulted in a higher diagnostic yield than either modality alone for predicting benign and malignant lymph nodes in patients with lung cancer. WHAT THIS STUDY ADDS: The combination of endobronchial elastography and sonography will help clinicians identify the most suspicious lymph nodes for puncturing during EBUS-TBNA, which may improve the efficiency of EBUS-TBNA.

Indexed as

Elasticity Imaging TechniquesEndoscopic Ultrasound-Guided Fine Needle AspirationAdultAgedAged, 80 and overFemaleHumansLung NeoplasmsLymphatic MetastasisLymph NodesMaleMiddle AgedNeoplasm GradingNeoplasm StagingPrevalenceSensitivity and SpecificityElastographyendobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA)lung cancermediastinal and hilar lymph nodessonographic features

Identifiers

PMID31474004
PMCPMC6775026
OpenAlexW2970539768

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.