Evidence map›Paper›PMID 40186632›Full record

ArticleEuropean radiology2025

Super-resolution ultrasound imaging of intranodal lymphatic sinuses for predicting sentinel lymph node metastasis in breast cancer: a preliminary study.

ShuJun Xia, Qing Hua, YanYan Song, CongCong Yuan, YuHang Zheng, RuoLin Tao, JiaLe Xu, EnHeng Cai, YuLu Zhang, FangGang Wu and 4 more

Abstract read
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In one paragraph

Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

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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

12 citing papers in PubMed.

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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

14 authors.

ShuJun Xia *Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qing Hua *Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
YanYan SongDepartment of Biostatistics, Institute of Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
CongCong YuanDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
YuHang ZhengDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
RuoLin TaoDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
JiaLe XuDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
EnHeng CaiDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
YuLu ZhangVINNO Technology (Suzhou) Co., Ltd., Suzhou, China.
FangGang WuVINNO Technology (Suzhou) Co., Ltd., Suzhou, China.
Wei GuoVINNO Technology (Suzhou) Co., Ltd., Suzhou, China.
Yuan TianVINNO Technology (Suzhou) Co., Ltd., Suzhou, China.
YiJie DongDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. dongyiyin@126.com.
JianQiao ZhouDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. zhousu30@126.com.ORCID http://orcid.org/0000-0002-0964-8407

Funding

National Natural Science Foundation of China 82071928Program of Shanghai Academic Research Leader 23XD1401300
6 · The paper itself

Abstract

objectivesAccurate preoperative localization and characterization of sentinel lymph nodes (SLNs) is vital in breast cancer management. The application of super-resolution ultrasound (SRUS) imaging to visualize intranodal lymphatic sinuses for the prediction of SLN metastasis has yet to be investigated. The study aimed to assess the value of SRUS imaging of intranodal lymphatic sinuses in predicting SLN metastasis in breast cancer patients.

methodsA total of 154 SLNs from 143 patients with breast cancer were prospectively included. All patients underwent conventional US of axillary lymph nodes and SRUS imaging of lymph sinus by percutaneous microbubble injection. Qualitative and quantitative analysis were performed for SRUS imaging, with qualitative analysis focusing on identifying perfusion defects and quantitative analysis including parameters such as lymphatic sinus density, sinus diameter, sinus distance, and lymph flow velocity. The areas under the receiver operating characteristic curve (AUC), sensitivity, and specificity were calculated for conventional US, SRUS, and combined conventional US and SRUS.

resultsAmong the 154 SLNs, 73 were metastatic and 81 were reactive. In predicting metastatic SLNs, the AUC for SRUS (0.824; 95% CI: 0.761-0.888) was significantly higher than that for conventional US (0.661; 95% CI: 0.596-0.726) (p < 0.001). The combination of SRUS and conventional US achieved the highest AUC (0.844; 95% CI: 0.785-0.904), which was significantly higher than conventional US alone (p < 0.001), but not significantly different from SRUS alone (p = 0.2).

conclusionImaging lymphatic sinuses by SRUS has the potential to predict metastatic SLNs in patients with breast cancer. KEY POINTS: Question Super-resolution ultrasound (SRUS) used for visualizing intranodal lymphatic sinuses for the prediction of sentinel lymph nodes (SLNs) metastasis has yet to be investigated. Findings Microlymphatic circulation of SLNs were imaged by SRUS at ten microns scale. SRUS showed better performance for predicting metastatic SLNs than conventional ultrasound. Clinical relevance SRUS is a reliable tool to image lymphatic sinuses and characterize metastatic SLNs in patients with breast cancer. It helps diagnosis of lymph node status and clinical decision-making of breast cancer.

Indexed as

Breast NeoplasmsLymphatic MetastasisSentinel Lymph NodeUltrasonography, MammaryAdultAgedAged, 80 and overFemaleHumansMiddle AgedProspective StudiesSensitivity and SpecificitySentinel Lymph Node BiopsyUltrasonographyBreast cancerIntranodal lymphatic sinusesLymph node metastasisSRUS

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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.