Evidence map›Paper›PMID 38894954›Full record

ArticleBreast care (Basel, Switzerland)2024

Clinical Axillary Staging in Breast Cancer Patients Using Ultrasound Imaging.

Maximilian Moreth, Nicole Herröder, Petra Hödl, Alexa Bufe, Christiane Bretschneider, Volker Möbus, Joachim Rom, Markus Müller-Schimpfle

Abstract read
In one paragraph

Article in Breast care (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Maximilian MorethRadiology, Neuro-Radiology and Nuclear Medicine, Varisano Klinikum Frankfurt Höchst, Frankfurt, Germany.
Nicole HerröderGynecology and Obstetrics, Varisano Klinikum Frankfurt Höchst, Frankfurt, Germany.
Petra HödlInstitute of Pathology, Varisano Klinikum Frankfurt Höchst, Frankfurt, Germany.
Alexa BufeGynecology and Obstetrics, Varisano Klinikum Frankfurt Höchst, Frankfurt, Germany.
Christiane BretschneiderRadiology, Neuro-Radiology and Nuclear Medicine, Varisano Klinikum Frankfurt Höchst, Frankfurt, Germany.
Volker MöbusGynecology and Obstetrics, Varisano Klinikum Frankfurt Höchst, Frankfurt, Germany.
Joachim RomGynecology and Obstetrics, Varisano Klinikum Frankfurt Höchst, Frankfurt, Germany.
Markus Müller-SchimpfleRadiology, Neuro-Radiology and Nuclear Medicine, Varisano Klinikum Frankfurt Höchst, Frankfurt, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The presence of axillary lymph node involvement is an important prognostic factor and has a major impact on treatment decisions in early breast cancer patients. This study aimed to determine the role of cortical thickness in axillary ultrasound (AUS) as an indicator of lymph node metastasis. Methods: 766 patients with primary breast cancer who received AUS during clinical work-up were selected for this retrospective study. Lymph nodes were defined as suspicious if they showed a cortical thickness of >3.0 mm at 11-15 MHz harmonic imaging ultrasound. Lymph node involvement was assessed by core needle biopsy ( Results: AUS for detecting all lymph node metastases had a sensitivity of 62.27%, a specificity of 93.15% and a negative predictive value of 81.74%. However, the resulting negative predictive value for transcapsular growth was 93.97%, and for EAS 97.52%. Conclusion: EAS - in contrast to non-palpable involvement of 1 or 2 lymph nodes - contributes relevantly to the individualization of breast cancer treatment. In combination with SNB, AUS using cortical thickness as the main distinctive parameter seems to be an easily available, robust tool of diagnosing extensive axillary metastases. If AUS proves negative, it helps to reduce the number of classic axillary dissections.

Indexed as

Axillary ultrasoundBreast cancerCortical thicknessLymph nodes

Identifiers

PMID38894954
PMCPMC11182635

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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.