Evidence map›Paper›PMID 41907771›Full record

ArticleFrontiers in surgery2026

Axillary response and diagnostic accuracy of imaging modalities after neoadjuvant chemotherapy for breast cancer (retrospective single center study).

Emine Özlem Gür, Muhammet Mustafa Şafak, Melek Gökova, Merve Gürsoy, Betül Küçükzeybek, Yeliz Yılmaz Bozok, Murat Kemal Atahan

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Emine Özlem GürAtatürk Training and Research Hospital, Department of General Surgery, Katip Çelebi University, İzmir, Türkiye.
Muhammet Mustafa ŞafakAtatürk Training and Research Hospital, Department of General Surgery, Katip Çelebi University, İzmir, Türkiye.
Melek GökovaAtatürk Training and Research Hospital, Department of General Surgery, Katip Çelebi University, İzmir, Türkiye.
Merve GürsoyAtatürk Training and Research Hospital, Department of Radiology, Katip Çelebi University, İzmir, Türkiye.
Betül KüçükzeybekAtatürk Training and Research Hospital, Department of Pathology, Katip Çelebi University, İzmir, Türkiye.
Yeliz Yılmaz BozokAtatürk Training and Research Hospital, Department of General Surgery, Katip Çelebi University, İzmir, Türkiye.
Murat Kemal AtahanAtatürk Training and Research Hospital, Department of General Surgery, Katip Çelebi University, İzmir, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The optimal axillary approach after neoadjuvant chemotherapy (NACT) in patients with breast cancer (BC) remains controversial. In our study, we aimed to evaluate factors affecting axillary pathological complete response (pCR) in patients with biopsy-proven node-positive BC before NACT and to assess the diagnostic performance of imaging modalities in detecting residual axillary metastasis after NACT. Methods: Our sample included 142 patients with T1-3, N1-2, M0 BC who were cytologically confirmed to have axillary metastasis by ultrasonography (USG), mammography (MG), magnetic resonance imaging (MRI), and 18F-FDG positron emission tomography-computed tomography (PET-CT) and who received NACT between 2020 and 2025. Patients showing clinical or radiologic complete response in the axilla underwent sentinel lymph node biopsy (SLNB). SLNB-positive patients subsequently underwent level I-II axillary dissection (AD). Pathological, molecular, and imaging findings of the patients were analyzed. Results: After NACT, 78 patients (54.9%) had no residual axillary metastasis. HER2 positivity and progesterone receptor (PR) negativity were significantly associated with axillary pCR (p < 0.05). Luminal A and B tumors demonstrated lower response rates to NACT, whereas HER2-rich and triple-negative subtypes showed higher axillary pCR rates (85.7% and 71.4%, respectively). Among imaging modalities, the specificity values were 91.2% and 84.6% for PET-CT and USG, respectively. Negative predictive values (NPV) were 74.02% and 76.52% for PET-CT and USG, respectively. Discussion and conclusion: In PR-positive and HER2-negative tumors, the likelihood of axillary pCR is lower, and careful evaluation is warranted. USG and PET-CT may serve as a good guide for axillary lymph node assessment after NACT in patients with BC. However, given their modest sensitivity, imaging modalities should be considered complementary tools rather than substitutes for pathological axillary staging. Further prospective randomized trials are needed to define patient groups who may safely avoid axillary dissection after NACT.

Indexed as

breast cancerimaging modalitiesneoadjuvant chemotherapypathological responsesentinel lymph node biopsy

Identifiers

PMID41907771
PMCPMC13021765

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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.