Evidence map›Paper›PMID 38856961›Full record

ArticleLa Radiologia medica2024

Health technology assessment in musculoskeletal radiology: the case study of EOSedge™.

Rossella Tomaiuolo, Giuseppe Banfi, Carmelo Messina, Domenico Albano, Salvatore Gitto, Luca Maria Sconfienza

Abstract read
In one paragraph

Article in La Radiologia medica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. AI model for automatic spinopelvic and spinal alignment parameters measurement from EOS.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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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

6 authors.

Rossella TomaiuoloVita-Salute San Raffaele University, Milan, Italy.
Giuseppe BanfiVita-Salute San Raffaele University, Milan, Italy.
Carmelo MessinaIRCCS Istituto Ortopedico Galeazzi, Via Cristina Belgioioso 173, 20157, Milan, Italy.
Domenico AlbanoIRCCS Istituto Ortopedico Galeazzi, Via Cristina Belgioioso 173, 20157, Milan, Italy.
Salvatore GittoIRCCS Istituto Ortopedico Galeazzi, Via Cristina Belgioioso 173, 20157, Milan, Italy.
Luca Maria SconfienzaIRCCS Istituto Ortopedico Galeazzi, Via Cristina Belgioioso 173, 20157, Milan, Italy. io@lucasconfienza.it.ORCID http://orcid.org/0000-0003-0759-8431

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHealth technology assessment (HTA) is a systematic process used to evaluate the properties and effects of healthcare technologies within their intended use context. This paper describes the adoption of HTA process to assess the adoption of the EOSedge™ system in clinical practice.

methodsThe EOSedge™ system is a digital radiography system that delivers whole-body, high-quality 2D/3D biplanar images covering the complete set of musculoskeletal and orthopedic exams. Full HTA model was chosen using the EUnetHTA Core Model

resultsAll nine domains of the EUnetHTA Core Model

conclusionsEOS technologies may be a viable alternative to conventional radiographs. EOSedge has the same intended use and similar indications for use, technological characteristics, and operation principles as the EOS System and provides significant dose reduction factors for whole spine imaging compared to the EOS System without compromising image quality. Regarding the impact of EOS imaging on patient outcomes, most studies aim to establish technical ability without evaluating their ability to improve patient outcomes; thus, more studies on this aspect are warranted.

Indexed as

Musculoskeletal DiseasesTechnology Assessment, BiomedicalHumansRadiographic Image EnhancementEOSedgeEOS systemHTA (health technology assessment)MusculoskeletalRadiography

Identifiers

PMID38856961
PMCPMC11252187

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Registered trials

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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.