Evidence map›Paper›PMID 40771373›Full record

ArticleGland surgery2025

Minimally invasive biopsy technique predicting breast pathological complete response after neoadjuvant therapy for breast cancer.

Zhiqiang Shi, Pengfei Qiu, Yongsheng Wang, Hong Liu

Abstract read
In one paragraph

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

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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

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zhiqiang ShiTianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Pengfei QiuDepartment of Breast Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Yongsheng Wang *Department of Breast Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Hong Liu *Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neoadjuvant therapy (NAT) is widely used in the treatment of breast cancer, and the pathological complete response (pCR) rate is increasing. However, currently, the prediction of pCR still lacks accuracy. This study aimed to investigate the accuracy of minimally invasive biopsy techniques in predicting breast pCR (bpCR) after NAT in breast cancer. Methods: From October 2022 to October 2024, a prospective single-arm study was conducted on 132 patients with primary breast cancer who achieved breast radiologic complete response (brCR) or breast radiologic partial response (brPR) after NAT at the Breast Center of Shandong Cancer Hospital. Before NAT, a marker clip was placed at the center of the tumor bed. After NAT, in patients with no residual lesions suggested by ultrasound, iodine-125 was placed under the guidance of mammography, followed by routine breast surgery (breast-conserving surgery or mastectomy). Postoperatively, multiple-site core needle biopsy (CNB) under ultrasound guidance was performed on the surgical specimen. The pathological results of CNB specimens were compared with those of surgical specimens to assess the accuracy of CNB in predicting bpCR (ypT0) after NAT. Results: A total of 52 patients (39.4%) achieved bpCR after NAT. Univariate analysis showed that tumor molecular subtypes, brCR after NAT, and axillary pathological complete response (apCR) were significantly associated with bpCR (P=0.02, 0.02, and P<0.001, respectively). Ultrasound-guided multiple-site CNB had an accuracy, negative predictive value (NPV), and false-negative rate (FNR) of 90.9%, 81.0%, and 14.8%, respectively, in predicting bpCR after NAT, which were superior to those of ultrasound, mammography, and magnetic resonance imaging. The combination of imaging examinations and ultrasound-guided multiple-site CNB significantly reduced the FNR compared with CNB alone (7.4% Conclusions: The combination of imaging examinations and ultrasound-guided multiple-site CNB has the potential to accurately predict bpCR after NAT, making it possible to selectively avoid breast surgery in breast cancer patients after NAT.

Indexed as

Breast cancerbreast pathological complete response (bpCR)core needle biopsy (CNB)neoadjuvant therapy (NAT)

Identifiers

PMID40771373
PMCPMC12322751

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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.