Evidence map›Paper›PMID 42729844›Full record

ReviewJPRAS open2026

High frequency ultrasound in breast surgery: A narrative review of current evidence and future directions.

David Kwan Ryung Lee, Dave Osinachukwu Duru, Kai Yuen Wong

Abstract readReview
In one paragraph

Review in JPRAS open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

David Kwan Ryung LeeSchool of Clinical Medicine, University of Cambridge, Hills Rd, Cambridge, United Kingdom.
Dave Osinachukwu DuruSchool of Clinical Medicine, University of Cambridge, Hills Rd, Cambridge, United Kingdom.
Kai Yuen WongDepartment of Plastic and Reconstructive Surgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High-frequency ultrasound (HFUS) is a versatile but underutilised imaging modality in breast surgery. Its high resolution offers a unique imaging perspective when compared to other modalities such as magnetic resonance imaging (MRI) and conventional, lower frequency ultrasound (<10 MHz). This narrative review synthesises current literature on the applications of HFUS in breast surgery including future directions. Methods: A comprehensive search of PubMed, Embase, Web of Science, CiNAHL, Cochrane CENTRAL and Scopus was conducted for studies published between January 2020 and September 2025. Eligible articles included clinical studies, reviews, and technical evaluations using probes >10 MHz in breast surgery applications. Results: HFUS demonstrates strong clinical utility in implant monitoring, lymphatic supermicrosurgery and breast reconstruction. Compared to MRI, emerging evidence indicates that HFUS can produce concordant results in 87-100% of cases, whilst displaying additional advantages such as greater accessibility and real-time imaging. The high definition offered by HFUS facilitates flap reconstruction planning, and its ability to visualise lymphatic channels and dermal thickness is also a useful tool for the planning of lymphaticovenous anastomoses for lymphoedema. Conclusion: HFUS imaging appears to show great promise for breast surgery, although future research on comparative studies to develop imaging protocols is needed. More widespread adoption will also require integration into surgical training curricula.

Indexed as

Breast implantsBreast surgeryHigh-frequency ultrasoundMicrosurgical planningPlastic surgery

Identifiers

PMID42729844
PMCPMC13563231

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.