Evidence map›Paper›PMID 39753881›Full record

ArticleScientific reports2025

Ultrasonographic accuracy in evaluating response of clipped lymph nodes in targeted axillary dissection in breast cancer.

Ozge Aslan, Aysenur Oktay, Berk Goktepe, Gurdeniz Serin

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Ozge AslanDepartment of Radiology, Ege University Faculty of Medicine, Ege University Hospital, Bornova, İzmir, Turkey. dr.ozgeaslan@gmail.com.ORCID 0000-0001-6935-1472
Aysenur OktayDepartment of Radiology, Ege University Faculty of Medicine, Ege University Hospital, Bornova, İzmir, Turkey.
Berk GoktepeDepartment of General Surgery, Ege University Faculty of Medicine, Ege University Hospital, Bornova, İzmir, Turkey.
Gurdeniz SerinDepartment of Medical Pathology, Ege University Faculty of Medicine, Ege University Hospital, Bornova, İzmir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the diagnostic accuracy of ultrasonography in assessing the response of clipped axillary lymph nodes to neoadjuvant chemotherapy. Between February 2022 and September 2023, 43 patients who underwent axillary lymph node marking for targeted axillary dissection were retrospectively analyzed. Ultrasonography parameters such as the number, size, shape, cortical thickness, hilum status, and treatment response of the clipped lymph node were assessed. Post-surgery pathology results served as the gold standard. Ultrasonography revealed 70% complete and 30% partial response, while pathology results showed 51% complete response, 9% micro-metastases, and 40% macro-metastases. The diagnostic accuracy of ultrasonography was 81.4%, with 61.9% sensitivity and 100% specificity. A significant correlation was found between clipped node response in ultrasound and pathology. Additionally, a notable association was observed between clipped node response on ultrasonography, molecular subtype of the breast mass, and the mass's response to NAC. Assessing the treatment response of clipped lymph nodes with preoperative ultrasound, followed by surgical excision using needle wire localization, can be a viable alternative to axillary dissection, offering low false-negative rates.

Indexed as

AxillaBreast NeoplasmsLymph Node ExcisionLymph NodesUltrasonographyAdultAgedFemaleHumansLymphatic MetastasisMiddle AgedNeoadjuvant TherapyRetrospective StudiesBreast cancerClipMarkerNeedle wire localizationNode positiveTargeted axillary dissection

Identifiers

PMID39753881
PMCPMC11698712

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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.