Evidence map›Paper›PMID 32020529›Full record

SynthesisLa Radiologia medica2020

Superb microvascular imaging (SMI) in the evaluation of musculoskeletal disorders: a systematic review.

Salvatore Gitto, Carmelo Messina, Vito Chianca, Bruno Tuscano, Angelo Lazzara, Angelo Corazza, Luigi Pedone, Domenico Albano, Luca Maria Sconfienza

2 registry-linked trialsAbstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in La Radiologia medica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
–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.

NCT07118228 recruitingnot on this mapstarted 2025, after this paper: background citation

Evaluation of the Relationship Between Ultrasonographic Muscle Morphology, Functional Properties, and Clinical Parameters in Children With Spastic Cerebral Palsy

TypeobservationalSponsorKocaeli UniversityRan2025 to 2026Enrolled36ConditionsMuscle Spasticity, Gait Disorders, Neurologic, Cerebral Palsy, Spastic
NCT07127302 completednot on this mapstarted 2025, after this paper: background citation

Evaluation and Clinical Correlation of Tendons With Power Doppler, SWE, Microvascular Flow (MV-Flow) Imaging and B-Mode Ultrasonography in Patients With Lateral Epicondylitis

TypeobservationalSponsorAhmet YesildagRan2025 to 2026Enrolled50ConditionsLateral Epicondylitis, Elastography, Ultrasonographic Diagnosis, Tennis Elbow
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Updates in ultrasound-guided musculoskeletal interventions.The British journal of radiology · 2026
    Review
  4. Evaluation of Microvascular Flow Imaging and Power Doppler Ultrasonography in an Equine Model of Induced Superficial Digital Flexor Tendonitis.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 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

9 authors.

Salvatore GittoDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133, Milano, Italy.
Carmelo MessinaDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133, Milano, Italy. carmelo.messina@unimi.it.ORCID http://orcid.org/0000-0001-7518-5773
Vito ChiancaIRCCS Istituto Ortopedico Galeazzi, Milano, Italy.
Bruno TuscanoASST Grande Ospedale Metropolitano Niguarda, Milano, Italy.
Angelo LazzaraDipartimento di Radiologia e Neuroradiologia Pediatrica, Ospedale dei Bambini "V. Buzzi", Milano, Italy.
Angelo CorazzaIRCCS Istituto Ortopedico Galeazzi, Milano, Italy.
Luigi PedoneIRCCS Istituto Ortopedico Galeazzi, Milano, Italy.
Domenico AlbanoIRCCS Istituto Ortopedico Galeazzi, Milano, Italy.
Luca Maria SconfienzaDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo systematically review the current literature concerning the role of superb microvascular imaging (SMI), a novel Doppler technique that enables detection of fine vessels and slow blood flow, in the evaluation of musculoskeletal disorders.

methodsAn online search of the literature was conducted for the period 2013 to April 2019 and included original articles written in English language. A data analysis was performed at the end of the literature search.

resultsEight original articles with prospective design and one with retrospective design were included in this review: 4 studies focused on rheumatoid arthritis, 2 on rheumatoid and other arthritides, 1 on lateral epicondylosis and 2 on carpal tunnel syndrome. Sample size ranged from 26 to 83 patients. Despite some methodological differences, all studies compared the performance of SMI with that of a conventional Doppler technique such as power and color Doppler and found an improvement in vascularity detection with SMI. The main variations were in sample size, evaluated parameters and vascularity interpretation methods. Inter-observer agreement for SMI ranged from moderate to excellent.

conclusionsSMI is a promising tool for the diagnosis and treatment planning of different musculoskeletal disorders. Future investigations should include larger samples of patients with long-term follow-up.

Indexed as

ArthritisArthritis, RheumatoidBlood Flow VelocityCarpal Tunnel SyndromeHumansMicrovesselsMusculoskeletal DiseasesNerve Compression SyndromesProspective StudiesRetrospective StudiesTendinopathyTennis ElbowUltrasonography, DopplerUltrasonography, Doppler, ColorDopplerMicroflow imagingMusculoskeletal imagingSuperb microvascular imagingUltrasound

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.