Evidence map›Paper›PMID 32602000›Full record

ArticleArchives of gynecology and obstetrics2020

Contrast-enhanced ultrasonography and blue dye methods in detection of sentinel lymph nodes following neoadjuvant chemotherapy in initially node positive breast cancer.

Xiufeng Wu, Lina Tang, Weiqin Huang, Shixin Huang, Wei Peng, Dan Hu

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Article in Archives of gynecology and obstetrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 36% of its field
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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Xiufeng WuDepartment of Breast Surgical Oncology, Fujian Medical University Cancer Hospital and Fujian Cancer Hospital, No. 420 Fuma Road, Fuzhou, 350014, Fujian, People's Republic of China. wxf200104@hotmail.com.ORCID http://orcid.org/0000-0001-8007-7072
Lina TangDepartment of Ultrasound, Fujian Medical University Cancer Hospital and Fujian Cancer Hospital, Fuzhou, 350014, Fujian, People's Republic of China.
Weiqin HuangDepartment of Ultrasound, Fujian Medical University Cancer Hospital and Fujian Cancer Hospital, Fuzhou, 350014, Fujian, People's Republic of China.
Shixin HuangDepartment of Ultrasound, Fujian Medical University Cancer Hospital and Fujian Cancer Hospital, Fuzhou, 350014, Fujian, People's Republic of China.
Wei PengDepartment of Clinical Laboratory, Fujian Medical University Cancer Hospital and Fujian Cancer Hospital, Fuzhou, 350014, Fujian, People's Republic of China.
Dan HuDepartment of Pathology, Fujian Medical University Cancer Hospital and Fujian Cancer Hospital, Fuzhou, 350014, Fujian, People's Republic of China.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies show that contrast-enhanced ultrasonography (CEUS) using SonoVue has the potential to improve the performance of sentinel lymph node biopsy (SLNB) in patients with early breast cancer. However, the evidence of SLNB using CEUS in patients converting from cN1 to cN0 after neoadjuvant chemotherapy (NAC) is lacking. The aim of this prospective study is to evaluate the feasibility of CEUS using SonoVue for the identification of sentinel lymph node (SLN) and the value of the combination of CEUS and blue dye (BD) for SLNB in patients converting from cN1 to cN0 following NAC.

methodsPatients with cytology-proven node positive breast cancer at the initial diagnosis (stage T1-T3N1M0) from January 2018 to January 2019, underwent NAC. Patients converting from cN1 to cN0 following NAC were enrolled and randomized into two groups for SLNB: the combination method group using CEUS and BD together, and the single BD method group. Then all patients underwent complete axillary lymph node dissection (ALND) and primary breast surgery. Compared with the final pathological results, the identification rate, sensitivity, specificity, accuracy, false negative rate, negative predictive value, positive predictive value were recorded and compared between two methods.

resultsA total of 400 patients with stage T1-T3N1M0 disease underwent NAC between January 2018 to January 2019, among which 134 (33.5%) patients had clinically negative node confirmed by imaging after NAC and randomized into two groups. Each group included 67 cases. In the combination method group, contrast-enhanced lymphatic vessels in 66 cases of 67 were clearly visualized by US soon after the periareolar injection of SonoVue and the SLNs were accurately localized. The identification rate of the combination method was 98.5%%, which was significantly higher than 83.6% (56/67) using the single BD method. The mean numbers of SLNs identified by the combination method was higher than that by the single BD method. Compared with pathological diagnosis, sensitivity, specificity, accuracy, the positive predictive value, the negative predictive value, and the FNR of the combingation method were 84.4%, 100%, 89.4%, 100%, 75%, and 15.6%, respectively. In contrast, sensitivity, specificity, accuracy, the positive predictive value, the negative predictive value, and the FNR using single blue dye were 73.9%, 100%, 89.3%, 100%, 84.6%, and 26.1%, respectively. The FNR using the combination method was significantly lower than that using single BD.

conclusionIdentification of SLNs in patients converting from cN1 to cN0 following NAC by CEUS is a technically feasible. The combination of CEUS and BD is more effective than BD alone for SLNB in patients converting from cN1 to cN0 following NAC.

Indexed as

AdultAgedBreast NeoplasmsContrast MediaFemaleHumansMiddle AgedNeoadjuvant TherapyProspective StudiesSentinel Lymph NodeUltrasonographyContrast MediaBreast cancerContrast-enhanced ultrasonographyNeoadjuvant chemotherapySentinel lymph nodes

Identifiers

PMID32602000
OpenAlexW3039740671

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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.