Evidence map›Paper›PMID 36513982›Full record

ArticleBMC cancer2022

Performance of Sonoelastography for predicting malignancy in soft tissue.

Sylvain Bodard, Louis Lassalle, Frédérique Larousserie, Sylvain Guinebert, Thomas Hacquart, Raphael Campagna, David Biau, Noreddine Regnard, Antoine Feydy

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 47% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Advanced imaging techniques and artificial intelligence in pleural diseases: a narrative review.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  7. 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

9 authors at 5 institutions in 1 country.

Sylvain BodardAP-HP, Hôpital Cochin, Service de Radiologie B, F-75014, Paris, France. Sylvain.bodard@aphp.fr.
Louis LassalleAP-HP, Hôpital Cochin, Service de Radiologie B, F-75014, Paris, France.
Frédérique LarousserieUniversité de Paris Cité, F-75006, Paris, France.
Sylvain GuinebertAP-HP, Hôpital Necker Enfants Malades, Service d'Imagerie Adulte, F-75015, Paris, France.
Thomas HacquartCHU Clermont-Fd, Service de Chirurgie orthopédique et traumatologique, F-63000, Clermont Ferrand, France.
Raphael CampagnaAP-HP, Hôpital Cochin, Service de Radiologie B, F-75014, Paris, France.
David BiauUniversité de Paris Cité, F-75006, Paris, France.
Noreddine RegnardAP-HP, Hôpital Cochin, Service de Radiologie B, F-75014, Paris, France.
Antoine FeydyAP-HP, Hôpital Cochin, Service de Radiologie B, F-75014, Paris, France.
Hôpital Cochin · FRAssistance Publique – Hôpitaux de Paris · FRCentre Hospitalier Universitaire de Clermont-Ferrand · FRHôpital Necker-Enfants Malades · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeparating benign from malignant soft-tissue masses often requires a biopsy. The objective of this study was to assess whether shear-wave elastography (SWE) helped to separate benign from malignant soft-tissue masses.

methodsIn 2015-2016, we prospectively included patients with soft-tissue masses deemed by our multidisciplinary sarcoma board to require a diagnostic biopsy. All patients underwent ultrasonography (US) followed by SWE to measure elasticity. We compared benign and malignant tumors, overall and after separating tumors with vs. without a fatty component. The biopsy findings, and surgical-specimen histology when available, served as the reference standard.

resultsWe included 136 patients, 99 with non-fatty and 37 with fatty soft-tissue masses. Mean elasticity and tumor-to-fat elasticity ratio (T/F) values were significantly lower for the benign than the malignant soft-tissue masses in the overall cohort (30.9 vs. 50.0 kilopascals (kPa), P = 0.03; and 2.55 vs. 4.30, P = 0.046) and in the non-fatty subgroup (37.8 ± 31.9 vs. 58.9 ± 39.1 kPa, P = 0.049 and 2.89 ± 5.25 vs. 5.07 ± 5.41, P = 0.046). Data for fatty tumors were non relevant due to lack of conclusive results. By receiver operating characteristics curve analysis, a T/F cutoff of 3.5 had 46% sensitivity and 84% specificity for separating benign and malignant soft-tissue masses.

conclusionsSWE had good specificity and poor sensitivity for separating benign from malignant soft-tissue masses.

Indexed as

Breast NeoplasmsElasticity Imaging TechniquesSoft Tissue NeoplasmsDiagnosis, DifferentialFemaleHumansReproducibility of ResultsSensitivity and SpecificityUltrasonographyUltrasonography, MammaryElastographyFatty massesSoft-tissue massesUltrasonography

Identifiers

PMID36513982
PMCPMC9749220
OpenAlexW4311310485

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.