Evidence map›Paper›PMID 38545047›Full record

ArticleQuantitative imaging in medicine and surgery2024

The value of the improved percutaneous and intravenous contrast-enhanced ultrasound diagnostic classification in sentinel lymph nodes of breast cancer.

Caixin Huang, Jia Luo, Zhen Shan, Tiantian Zhen, Jiaping Li, Qingmei Ma, Laina Wei, Jinyu Liang, Xiaoyan Xie, Yanling Zheng

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
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

10 authors at 2 institutions in 1 country.

Caixin Huang *Department of Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-5989-1456
Jia Luo *Department of Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhen ShanDepartment of Thyroid and Breast Surgery, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Tiantian ZhenDepartment of Pathology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jiaping LiDepartment of Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Qingmei MaDepartment of Ultrasound, The Second People's Hospital of Shenzhen, Shenzhen, China.
Laina WeiDepartment of Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jinyu LiangDepartment of Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xiaoyan XieDepartment of Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yanling ZhengDepartment of Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNShenzhen Second People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metastatic burden of sentinel lymph node (SLN) in breast cancer patient is the basis for the decision to choose SLN biopsy or axillary lymph node dissection (ALND). However, the diagnostic performance of the previous percutaneous contrast-enhanced ultrasound (P-CEUS) and intravenous contrast-enhanced ultrasound (IV-CEUS) pattern were not satisfied. This study aimed to establish new classification based on structural characteristics for P-CEUS and IV-CEUS of SLN in breast cancer and evaluate the diagnostic efficacy. Methods: This retrospective study included consecutive breast cancer patients who had not received neoadjuvant therapy in the First Affiliated Hospital of Sun Yat-sen University between June 2019 and December 2021. Conventional ultrasound, P-CEUS and IV-CEUS were performed. The new classification methods for P-CEUS and IV-CEUS of SLN were established based on structural characteristics of SLN. Pathology was considered as the gold standard, the diagnostic efficacy of P-CEUS, IV-CEUS and combined contrast-enhanced ultrasound in SLNs was analyzed. Results: The detection rate of SLN by P-CEUS in 368 patients was 95.42%. The P-CEUS pattern of SLNs was divided into six types. The IV-CEUS sequence was divided into three types. The IV-CEUS mode was divided into four types. Among the 438 SLNs detected by P-CEUS, 105 (23.97%) were malignant and 333 (76.03%) were benign. Among the previously classified P-CEUS, P-CEUS, IV-CEUS and combined contrast-enhanced ultrasound, the latter had the highest diagnostic efficacy (P<0.05), with sensitivity, specificity, positive predictive value, negative predictive value, accuracy and area under curve (AUC) of 81.90% (86/105), 97.30% (324/333), 90.53% (86/95), 94.46% (324/343), 93.61% (410/438) and 0.896 (0.864-0.923), respectively. Conclusions: The new classification of the P-CEUS and IV-CEUS features of SLNs was performed based on structural characteristics of lymph nodes. Compared with the previously classified P-CEUS, the new classification method has higher diagnostic performance. The combination of new classified P-CEUS and IV-CEUS is helpful to further improve the diagnostic performance of SLNs.

Indexed as

Breast cancercontrast mediasentinel lymph node (SLN)ultrasound

Identifiers

PMID38545047
PMCPMC10963847
OpenAlexW4392593345

What OpenQuestion holds

Textmetadata
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.