Evidence map›Paper›PMID 35359391›Full record

ArticleFrontiers in oncology2022

Comprehensive Risk System Based on Shear Wave Elastography and BI-RADS Categories in Assessing Axillary Lymph Node Metastasis of Invasive Breast Cancer-A Multicenter Study.

Huiting Zhang, Yijie Dong, Xiaohong Jia, Jingwen Zhang, Zhiyao Li, Zhirui Chuan, Yanjun Xu, Bin Hu, Yunxia Huang, Cai Chang and 26 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Predicting lymph node metastasis in papillary thyroid carcinoma: radiomics using two types of ultrasound elastography.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
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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

36 authors.

Huiting ZhangDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yijie DongDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiaohong JiaDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jingwen ZhangDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zhiyao LiDepartment of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
Zhirui ChuanDepartment of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
Yanjun XuDepartment of Ultrasound in Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Institute of Ultrasound in Medicine, Shanghai, China.
Bin HuDepartment of Ultrasound, Minhang Hospital, Fudan University, Shanghai, China.
Yunxia HuangDepartment of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China.
Cai ChangDepartment of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China.
Jinfeng XuDepartment of Ultrasound, Shenzhen People's Hospital, The Second Clinical Medical College, Jinan University, and The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China.
Fajin DongDepartment of Ultrasound, Shenzhen People's Hospital, The Second Clinical Medical College, Jinan University, and The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China.
Xiaona XiaDepartment of Ultrasound Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Chengrong WuDepartment of Ultrasound Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wenjia HuDepartment of Ultrasound, People's Hospital of Henan Province, Zhengzhou, China.
Gang WuDepartment of Ultrasound, People's Hospital of Henan Province, Zhengzhou, China.
Qiaoying LiDepartment of Ultrasound Diseases, Tangdu Hospital, Four Military Medical University, Xi'an, China.
Qin ChenDepartment of Ultrasound, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Wanyue DengDepartment of Ultrasound, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Qiongchao JiangDepartment of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Yonglin MouDepartment of Ultrasound, General Hospital of Northern Theater Command, Shenyang, China.
Huannan YanDepartment of Ultrasound, General Hospital of Northern Theater Command, Shenyang, China.
Xiaojing XuDepartment of Ultrasound, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hongju YanDepartment of Ultrasound, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ping ZhouDepartment of Ultrasound, The Third Xiangya Hospital of Central South University, Changsha, China.
Yang ShaoDepartment of Ultrasound, The Third Xiangya Hospital of Central South University, Changsha, China.
Ligang CuiDepartment of Ultrasound, Peking University Third Hospital, Beijing, China.
Ping HeDepartment of Ultrasound, Peking University Third Hospital, Beijing, China.
Linxue QianDepartment of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Jinping LiuDepartment of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Liying ShiDepartment of Ultrasound, Affiliated Hospital of Guizhou Medical University, Guizhou, China.
Yanan ZhaoDepartment of Ultrasound, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
Yongyuan XuDepartment of Ultrasound, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
Yanyan SongDepartment of Biostatistics, Institute of Medical Sciences, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Weiwei ZhanDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jianqiao ZhouDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop a risk stratification system that can predict axillary lymph node (LN) metastasis in invasive breast cancer based on the combination of shear wave elastography (SWE) and conventional ultrasound. Materials and Methods: A total of 619 participants pathologically diagnosed with invasive breast cancer underwent breast ultrasound examinations were recruited from a multicenter of 17 hospitals in China from August 2016 to August 2017. Conventional ultrasound and SWE features were compared between positive and negative LN metastasis groups. The regression equation, the weighting, and the counting methods were used to predict axillary LN metastasis. The sensitivity, specificity, and the areas under the receiver operating characteristic curve (AUC) were calculated. Results: A significant difference was found in the Breast Imaging Reporting and Data System (BI-RADS) category, the "stiff rim" sign, minimum elastic modulus of the internal tumor and peritumor region of 3 mm between positive and negative LN groups ( Conclusion: A 0-4 grade risk stratification system was developed based on SWE characteristics and BI-RADS categories, and this system has the potential to predict axillary LN metastases in invasive breast cancer.

Indexed as

breast neoplasmselasticity imaging techniqueslymphatic metastasisrisk assessmentultrasonography

Identifiers

PMID35359391
PMCPMC8960926

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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.