Evidence map›Paper›PMID 39202206›Full record

GuidelineDiagnostics (Basel, Switzerland)2024

Best Practices for the Use of High-Frequency Ultrasound to Guide Aesthetic Filler Injections-Part 1: Upper Third of the Face.

Rosa Sigrist, Stella Desyatnikova, Maria Cristina Chammas, Roberta Vasconcelos-Berg

Abstract readGuideline
In one paragraph

Guideline in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 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.

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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Guideline
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. The SIBUS-IN Fingerheld Ultrasound Machine.Journal of cosmetic dermatology · 2025
    Article
  10. Review
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

4 authors.

Rosa SigristDepartment of Radiology, School of Medicine, University of São Paulo, São Paulo 05403-010, Brazil.ORCID 0000-0002-5780-4136
Stella DesyatnikovaThe Stella Center for Facial Plastic Surgery, Seattle, WA 98101, USA.ORCID 0000-0003-0676-4020
Maria Cristina ChammasDepartment of Radiology, School of Medicine, University of São Paulo, São Paulo 05403-010, Brazil.
Roberta Vasconcelos-BergMargarethenklinik-University Hospital of Basel, CH-4051 Basel, Switzerland.ORCID 0000-0002-8981-2755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Filler injections in the upper face pose significant challenges due to its complex anatomy and proximity to vascular structures. High-frequency Doppler ultrasound offers real-time visualization of facial anatomy, improving both safety and aesthetic outcomes. This paper presents a detailed overview of the ultrasonographic anatomy of the temples, forehead, and glabella, along with reproducible, ultrasound-guided filler injection techniques for these areas. We use two scanning techniques previously described: "scan before injecting" and "scan while injecting", applicable to subdermal, interfascial, and supraperiosteal planes in the temporal region, as well as the glabella, forehead, and supraorbital region. Ultrasound guidance for filler injections in the upper face can enhance procedural efficacy and safety. By integrating real-time imaging, practitioners can navigate the intricate vascular anatomy more effectively, thereby minimizing the risk of complications. This study highlights the need for ongoing research and continuous education to further refine these techniques and improve patient outcomes.

Indexed as

Doppler ultrasoundfillerforeheadglabellaguided injectionshyaluronic acidtemple

Identifiers

PMID39202206
PMCPMC11353849

What OpenQuestion holds

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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.