Evidence map›Paper›PMID 40504021›Full record

ArticleRheumatology (Oxford, England)2025

Comparison of quantitative lung ultrasound scores with automated quantitative CT: to overcome the ultrasound limitations.

Davide Mohammad Reza Beigi, Greta Pellegrino, Nicholas Landini, Marco Emanuele Diana, Gregorino Paone, Ilaria Bisconti, Francesca Romana Di Ciommo, Marius Cadar, Elena Platania, Jacopo Landro and 4 more

Abstract readComparative Study
In one paragraph

Article in Rheumatology (Oxford, England), 2025. 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
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

14 authors.

Davide Mohammad Reza BeigiDipartimento di Scienze Cliniche Internistiche, Anestesiologiche e Cardiovascolari, Sapienza University of Rome, Rome, Italy.ORCID 0000-0001-7805-6635
Greta PellegrinoIRCCS Ospedale Galeazzi - Sant'Ambrogio, Milan, Italy.ORCID 0000-0002-1762-0770
Nicholas LandiniDipartimento di Scienze Radiologiche, Oncologiche e Anatomo-Patologiche, Sapienza, University of Rome, Rome, Italy.
Marco Emanuele DianaDipartimento di Scienze Radiologiche, Oncologiche e Anatomo-Patologiche, Sapienza, University of Rome, Rome, Italy.
Gregorino PaoneDipartimento di Scienze Cardiovascolari e Respiratorie, Sapienze, University of Rome, Rome, Italy.
Ilaria BiscontiDipartimento di Scienze Cliniche Internistiche, Anestesiologiche e Cardiovascolari, Sapienza University of Rome, Rome, Italy.
Francesca Romana Di CiommoDipartimento di Scienze Cliniche Internistiche, Anestesiologiche e Cardiovascolari, Sapienza University of Rome, Rome, Italy.
Marius CadarDipartimento di Scienze Cliniche Internistiche, Anestesiologiche e Cardiovascolari, Sapienza University of Rome, Rome, Italy.
Elena PlataniaDipartimento di Scienze Cliniche Internistiche, Anestesiologiche e Cardiovascolari, Sapienza University of Rome, Rome, Italy.
Jacopo LandroDipartimento di Scienze Cliniche Internistiche, Anestesiologiche e Cardiovascolari, Sapienza University of Rome, Rome, Italy.
Simona TrugliaDipartimento di Scienze Cliniche Internistiche, Anestesiologiche e Cardiovascolari, Sapienza University of Rome, Rome, Italy.
Valeria PanebiancoDipartimento di Scienze Radiologiche, Oncologiche e Anatomo-Patologiche, Sapienza, University of Rome, Rome, Italy.ORCID 0000-0002-3091-8192
Fabrizio ContiDipartimento di Scienze Cliniche Internistiche, Anestesiologiche e Cardiovascolari, Sapienza University of Rome, Rome, Italy.
Valeria RiccieriDipartimento di Scienze Cliniche Internistiche, Anestesiologiche e Cardiovascolari, Sapienza University of Rome, Rome, Italy.

Funding

Italian Ministry of Health, 'Ricerca Corrente'University of Milan
6 · The paper itself

Abstract

objectivesLung ultrasound (LUS) is emerging as a valuable tool for assessing systemic sclerosis-associated interstitial lung disease (SSc-ILD), although it traditionally explores only superficial lung regions. Building upon our preliminary findings, this study investigated correlations between quantitative LUS scores and automated quantitative computed tomography (qCT) measurement of ILD extent, including both superficial and deeper lung involvement.

methodsBetween 2021 and 2023, 82 consecutive SSc patients underwent concurrent LUS and CT scans. Total B-lines (BL) count (range 0-140) and our novel pleural line irregularity (PLI) score (range 0-28) were obtained using a 14-intercostal space scanning protocol. CT scans were analysed by automated texture analysis software, quantifying volumes of ILD, ground-glass opacities (GGO) and reticulations (RET), segmented in three levels (apices, midfields, bases) and subdivided in surface and core lung parenchyma.

resultsTotal BL count and PLI score correlated with total ILD, GGO and RET volumes (all P < 0.0001), as well as with surface and core ILD volumes (all P < 0.0001). Basal lung BLs and PLI score correlated with basal ILD, GGO, RET (all P < 0.005) and corresponding surface and core ILD volumes (all P < 0.005). Mid-lung PLI correlated also with corresponding ILD-related changes and surface and core ILD (all P < 0.005). These associations were confirmed by multivariate regression analysis.

conclusionsQuantitative LUS score correlated with qCT-defined ILD extent, especially at lung bases. LUS scores (particularly the novel PLI score) were found to correlate with deeper ILD volume, suggesting potential to overcome traditional LUS limitations related to superficial lung assessment.

Indexed as

LungLung Diseases, InterstitialScleroderma, SystemicTomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedUltrasonographyinterstitial lung diseaselung texture analysislung ultrasoundquantitative chest tomographysystemic sclerosis

Identifiers

PMID40504021
PMCPMC12596063

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.