Evidence map›Paper›PMID 37456279›Full record

ArticleQuantitative imaging in medicine and surgery2023

The application of contrast-enhanced ultrasound for sentinel lymph node evaluation and mapping in breast cancer patients.

Yuanjian Fan, Jia Luo, Ying Lu, Caixin Huang, Manying Li, Yunjian Zhang, Nan Shao, Shenming Wang, Yanling Zheng, Ying Lin and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 4 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

11 authors at 2 institutions in 1 country.

Yuanjian Fan *Breast Disease Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jia Luo *Department of Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ying LuDepartment of Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Caixin HuangDepartment of Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Manying LiDepartment of Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yunjian ZhangBreast Disease Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Nan ShaoBreast Disease Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Shenming WangBreast Disease Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yanling Zheng *Department of Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ying Lin *Breast Disease Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhen Shan *Breast Disease Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To retrospectively investigate the application of contrast-enhanced ultrasound on sentinel lymph node (SLN-CEUS) for SLN evaluation and mapping in breast cancer patients. Methods: Patients diagnosed with breast cancer at the First Affiliated Hospital of Sun Yat-sen University from June 2019 to March 2021 were conveniently evaluated by SLN-CEUS. The results of SLN-CEUS and B mode-ultrasound (BUS) were collected and compared. For patients who only underwent SLN-CEUS, we conducted a 1:1 propensity score matching (PSM). The diagnostic parameters, including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), false negative rate (FNR), false positive rate (FPR), and proportion of undetermined diagnoses were compared between the SLN-CEUS and BUS cohorts. The identification rate and FNR of sentinel lymph node biopsy (SLNB) were also assessed. Results: There were 327 patients in each of the SLN-CEUS and BUS cohorts. Among the entire cohort, both NPV [90.2% (95% CI, 85.4-93.5%) Conclusions: Compared to BUS, SLN-CEUS is a better technique for diagnosing SLNs in early breast cancer patients, showing superiority in multiple diagnostic parameters. However, the diagnostic value of SLN-CEUS in NAT patients is still undetermined. SLN-CEUS is a promising mapping method in SLNB, with a high identification rate and a low FNR when used in combination with a blue-dye tracer.

Indexed as

Breast cancercontrast-enhanced ultrasound (CEUS)sentinel lymph node (SLN)

Identifiers

PMID37456279
PMCPMC10347351
OpenAlexW4381951233

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.