Evidence map›Paper›PMID 34218607›Full record

ArticleUltrasonography (Seoul, Korea)2022

Transthoracic ultrasound shear wave elastography for the study of subpleural lung lesions.

Carla Maria Irene Quarato, Mariapia Venuti, Lucia Dimitri, Donato Lacedonia, Anna Simeone, Antonio Mirijello, Salvatore De Cosmo, Evaristo Maiello, Marco Taurchini, Giulia Scioscia and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Ultrasonography (Seoul, Korea), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 18 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

13 authors at 2 institutions in 1 country.

Carla Maria Irene QuaratoDepartment of Medical and Surgical Sciences, Institute of Respiratory Diseases, Policlinico Riuniti di Foggia, University of Foggia, Foggia, Italy.
Mariapia VenutiDepartment of Medical and Surgical Sciences, Institute of Respiratory Diseases, Policlinico Riuniti di Foggia, University of Foggia, Foggia, Italy.
Lucia DimitriUnit of Pathology, Department of Internal Medicine, IRCCS Fondazione Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy.
Donato LacedoniaDepartment of Medical and Surgical Sciences, Institute of Respiratory Diseases, Policlinico Riuniti di Foggia, University of Foggia, Foggia, Italy.
Anna SimeoneDepartment of Radiology, IRCCS Fondazione Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy.
Antonio MirijelloDepartment of Internal Medicine, IRCCS Fondazione Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy.
Salvatore De CosmoDepartment of Internal Medicine, IRCCS Fondazione Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy.
Evaristo MaielloUnit of Oncology, Department of Internal Medicine, IRCCS Fondazione Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy.
Marco TaurchiniUnit of Thoracic Surgery, Department of Internal Medicine, IRCCS Fondazione Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy.
Giulia SciosciaDepartment of Medical and Surgical Sciences, Institute of Respiratory Diseases, Policlinico Riuniti di Foggia, University of Foggia, Foggia, Italy.
Maria Pia Foschino BarbaroDepartment of Medical and Surgical Sciences, Institute of Respiratory Diseases, Policlinico Riuniti di Foggia, University of Foggia, Foggia, Italy.
Massimiliano CopettiUnit of Biostatistics, Department of Internal Medicine, IRCCS Fondazione Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy.
Marco SperandeoUnit of Interventional and Diagnostic Ultrasound, Department of Internal Medicine, IRCCS Fondazione Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy.
Casa Sollievo della Sofferenza · ITUniversity of Foggia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to assess whether new-generation shear wave elastography (SWE) is suitable for the characterization of lung subpleural lesions.

methodsIn total, 190 consecutive patients with subpleural lung lesions received ultrasonography and SWE. Patients with suspected malignancy underwent ultrasound-guided transthoracic needle biopsy. Final diagnoses were made on the basis of patients' clinical course, microbiological studies, and histological results. SWE was also performed in 25 healthy volunteers.

resultsWe found no statistically significant differences in stiffness between lung carcinomas, lung metastases, and pneumonia (P=0.296) or between different histological types of lung cancer (P=0.393). Necrosis was associated with reduced stiffness in pneumonia. Excluding necrotic lesions, pneumonia showed higher stiffness than lung carcinomas (2.95±0.68 m/s vs. 2.60±0.54 m/s, P=0.006). Chronic pneumonia showed increased stiffness (3.03±0.63 m/s), probably due to the presence of fibrotic tissue on histology. Pleural effusion was associated with a statistically significant reduction in stiffness, both in lung carcinomas (P=0.004) and lung metastases (P=0.002). The presence of air in healthy lung tissue may lead to incorrect speed estimates due to shear wave reflection (very high values, 14.64±2.19 m/s).

conclusionTransthoracic SWE could not distinguish lung malignancy from pneumonia, or between different histological types of lung carcinomas. In particular, SWE seems unable to resolve the clinical dilemma of chronic subpleural consolidations.

Indexed as

ArtifactsShear wave elastographySubpleural lesionsTransthoracic ultrasoundUltrasound elastographyUltrasound-guided transthoracic needle biopsy

Identifiers

PMID34218607
PMCPMC8696150
OpenAlexW3155761031

What OpenQuestion holds

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LicenceCC BY-NC
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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.