Evidence map›Paper›PMID 38700572›Full record

ArticleBreast cancer research and treatment2024

Use of ultrasound and MRI to stage the axilla for breast cancer before and after neoadjuvant chemotherapy prior to targeted sentinel lymphadenectomy.

Danielle Brabender, April Ballard, Sean Kim, Linda Hovanessian-Larsen, Stephen F Sener

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Article in Breast cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

6 citing papers in PubMed.

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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

5 authors.

Danielle BrabenderDepartment of Surgery, Los Angeles General Medical Center, Clinic Tower, 6A231A, 1100 North State Street, Los Angeles, CA, 90033, USA.
April BallardNorris Comprehensive Cancer Center and Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Sean KimDepartment of Surgery, Los Angeles General Medical Center, Clinic Tower, 6A231A, 1100 North State Street, Los Angeles, CA, 90033, USA.
Linda Hovanessian-LarsenNorris Comprehensive Cancer Center and Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Stephen F SenerDepartment of Surgery, Los Angeles General Medical Center, Clinic Tower, 6A231A, 1100 North State Street, Los Angeles, CA, 90033, USA. stephen.sener@med.usc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrior data from this Center demonstrated that for patients who had biopsy-proven axillary metastases, were ycN0 after neoadjuvant chemotherapy (NAC), and had a wire-directed (targeted) sentinel lymphadenectomy (WD-SLND), 60% were node negative. The hypothesis of this study was that results of axillary imaging either before or after NAC would be predictive of final pathologic status after WD-SLND.

methodsFor patients treated with NAC between 2015 and 2023, ultrasound and MRI images of the axilla were retrospectively reviewed by radiologists specializing in breast imaging, who were blinded to the surgical and pathology results.

resultsOf 113 patients who fit the clinical criteria, 66 (58%) were ypN0 at WD-SLND and 34 (30%) had a pathologic complete response to NAC. There was no correlation between the number of abnormal lymph nodes on pre-NAC ultrasound or MRI imaging and the final pathologic status of the lymph nodes. The positive predictive value (PPV) of abnormal post-NAC axillary imaging was 48% for ultrasound and 53% for MRI. The negative predictive value (NPV) for normal post-NAC axillary imaging was 67% for ultrasound and 68% for MRI.

conclusionThe results of axillary imaging were not adequate to identify lymph nodes after NAC that were persistently pathologically node positive or those which had become pathologically node negative.

Indexed as

AxillaBreast NeoplasmsMagnetic Resonance ImagingNeoadjuvant TherapyNeoplasm StagingSentinel Lymph Node BiopsyAdultAgedFemaleHumansLymphatic MetastasisLymph Node ExcisionLymph NodesMiddle AgedRetrospective StudiesUltrasonographyAxillary imagingAxillary metastasisBreast cancerNeoadjuvant chemotherapySentinel lymph node

Identifiers

PMID38700572
PMCPMC11208180

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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.