Evidence map›Paper›PMID 27014713›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2015

Pixel-based approach to assess contrast-enhanced ultrasound kinetics parameters for differential diagnosis of rheumatoid arthritis.

Gaia Rizzo, Bernd Raffeiner, Alessandro Coran, Luca Ciprian, Ugo Fiocco, Costantino Botsios, Roberto Stramare, Enrico Grisan

Open access · greenAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Image-Guided Cardiac Regeneration via a 3D Bioprinted Vascular Patch with Built-in CT Visibility.Chemical engineering journal (Lausanne, Switzerland : 1996) · 2025
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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

8 authors at 2 institutions in 1 country.

Gaia RizzoUniversity of Padova , Department of Information Engineering, G. Gradenigo 6/A, Padova 35131, Italy.
Bernd RaffeinerGeneral Hospital of Bolzano , Rheumatology Unit, Via Lorenz Boehler 5, Bolzano 39100, Italy.
Alessandro CoranUniversity of Padova , Department of Medicine, Via Giustiniani 2, Padova 35128, Italy.
Luca CiprianNursing Home Giovanni XXIII , Via Giovanni XXIII 7, Monastier di Treviso (TV) 31050, Italy.
Ugo FioccoUniversity of Padova , Department of Medicine, Via Giustiniani 2, Padova 35128, Italy.
Costantino BotsiosUniversity of Padova , Department of Medicine, Via Giustiniani 2, Padova 35128, Italy.
Roberto StramareUniversity of Padova , Department of Medicine, Via Giustiniani 2, Padova 35128, Italy.
Enrico GrisanUniversity of Padova , Department of Information Engineering, G. Gradenigo 6/A, Padova 35131, Italy.
University of Padua · ITOspedale di Bolzano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory rheumatic diseases are the leading causes of disability and constitute a frequent medical disorder, leading to inability to work, high comorbidity, and increased mortality. The standard for diagnosing and differentiating arthritis is based on clinical examination, laboratory exams, and imaging findings, such as synovitis, bone edema, or joint erosions. Contrast-enhanced ultrasound (CEUS) examination of the small joints is emerging as a sensitive tool for assessing vascularization and disease activity. Quantitative assessment is mostly performed at the region of interest level, where the mean intensity curve is fitted with an exponential function. We showed that using a more physiologically motivated perfusion curve, and by estimating the kinetic parameters separately pixel by pixel, the quantitative information gathered is able to more effectively characterize the different perfusion patterns. In particular, we demonstrated that a random forest classifier based on pixelwise quantification of the kinetic contrast agent perfusion features can discriminate rheumatoid arthritis from different arthritis forms (psoriatic arthritis, spondyloarthritis, and arthritis in connective tissue disease) with an average accuracy of 97%. On the contrary, clinical evaluation (DAS28), semiquantitative CEUS assessment, serological markers, or region-based parameters do not allow such a high diagnostic accuracy.

Indexed as

arthritiscontrast enhanced ultrasoundkinetics analysisparameter estimationperfusion analysis

Identifiers

PMID27014713
PMCPMC4797088
OpenAlexW1956024078

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.