Evidence map›Paper›PMID 32492682›Full record

ArticleRespiration; international review of thoracic diseases

Predictive Value of Endobronchial Ultrasound Strain Elastography in Mediastinal Lymph Node Staging: The E-Predict Multicenter Study Results.

Roel Lambertus Johannes Verhoeven, Rocco Trisolini, Fausto Leoncini, Piero Candoli, Michela Bezzi, Alessandro Messi, Mark Krasnik, Chris L de Korte, Jouke T Annema, Erik H F M van der Heijden

Open access · hybridAbstract readControlled Clinical TrialMulticenter Study
PubMed Publisher
In one paragraph

Article in Respiration; international review of thoracic diseases. 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
2.5field-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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  8. Article
  9. Influential Factors for Assessing Endobronchial Ultrasound Elastography.Respiration; international review of thoracic diseases · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 3 countries.

Roel Lambertus Johannes VerhoevenDepartment of Pulmonology, Radboudumc, Nijmegen, The Netherlands.
Rocco TrisoliniInterventional Pulmonology Unit, Policlinico S. Orsola, Bologna, Italy.
Fausto LeonciniInterventional Pulmonology Unit, Dipartimento di Scienza, Mediche e Chirurgiche, Fondazione Policlinico A. Gemelli, Rome, Italy.
Piero CandoliPulmonology Unit, Santa Croce Hospital, Fano, Italy.
Michela BezziDepartment of Pulmonology, Azienda Ospedaliera Universitaria di Careggi, Firenze, Italy.
Alessandro MessiDepartment of Pulmonology, Ospedale Santa Maria Bianca, Modena, Italy.
Mark KrasnikDepartment of Pulmonology, Rigshopitalet, Copenhagen, Denmark.
Chris L de KorteMedical Ultrasound Imaging Center (MUSIC), Department of Radiology, Radboudumc, Nijmegen, The Netherlands.
Jouke T AnnemaDepartment of Respiratory Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
Erik H F M van der HeijdenDepartment of Pulmonology, Radboudumc, Nijmegen, The Netherlands, erik.vanderheijden@radboudumc.nl.
Radboud University Nijmegen · NLAgostino Gemelli University Polyclinic · ITAmsterdam University Medical Centers · NLAzienda Ospedaliero-Universitaria Careggi · ITOspedale Santa Maria · ITRigshospitalet · DKSanta Maria Nuova Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystematic assessment of lymph node status by endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is indicated in (suspected) lung cancer. Sampling is herein guided by nodal size and FDG-PET characteristics. Ultrasound strain elastography (SE) might further improve risk stratification. By imaging tissue deformation over time, SE computes relative tissue strain. In several tissues, a lower strain (deformation) has been associated with a higher likelihood of malignancy.

objectivesTo assess if EBUS-SE can independently help predict malignancy, and when combined with size and FDG uptake information.

methodsThis multicenter (n = 5 centers) prospective trial included patients with suspected or proven lung cancer using a standardized measurement protocol. Cytopathology combined with surgery or follow-up imaging (>6 months) were used as reference standard.

resultsBetween June 2016 and July 2018, 327 patients and 525 lymph nodes were included (mean size 12.3 mm, malignancy prevalence 0.48). EBUS-SE had an overall AUC of 0.77. A mean strain <115 (range 0-255) showed 90% sensitivity, 43% specificity, 60% positive predictive value, and 82% negative predictive value. Combining EBUS-SE (<115) with size (<8 mm) and FDG-PET information into a risk stratification algorithm increased the accuracy. Combining size and SE showed that the 48% a priori chance of malignancy changed to 11 and 70% in double negative or positive nodes, respectively. In the subset where FDG-PET was available (n = 370), triple negative and positive nodes went from a 42% a priori chance of malignancy to 9 and 73%, respectively.

conclusionsEBUS-SE can help predict lymph node malignancy and may be useful for risk stratification when combined with size and PET information.

Indexed as

BronchoscopyElasticity Imaging TechniquesHumansLung NeoplasmsLymph NodesMediastinumPositron-Emission TomographyPredictive Value of TestsProspective StudiesBronchoscopyEndobronchial ultrasoundEndobronchial ultrasound-transbronchial needle aspirationEsophageal ultrasoundLung cancer stagingStrain elastographyUltrasound elastography

Identifiers

PMID32492682
OpenAlexW3032551411

What OpenQuestion holds

Textmetadata
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.