Evidence map›Paper›PMID 30936748›Full record

ArticleCancer management and research2019

A multicenter study of a contrast-enhanced ultrasound diagnostic classification of breast lesions.

Lina Tang, Yijie Chen, Zhongshi Du, Zhaoming Zhong, Qin Chen, Lichun Yang, Ruoxia Shen, Yan Cheng, Zizhen Zhang, Ehui Han and 8 more

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 11 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

18 authors at 7 institutions in 1 country.

Lina TangDepartment of Ultrasound, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou 350014, Fujian Province, China, tanglina@fjzlhospital.com.
Yijie ChenDepartment of Ultrasound, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou 350014, Fujian Province, China, tanglina@fjzlhospital.com.
Zhongshi DuDepartment of Ultrasound, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou 350014, Fujian Province, China, tanglina@fjzlhospital.com.
Zhaoming ZhongDepartment of Ultrasound, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou 350014, Fujian Province, China, tanglina@fjzlhospital.com.
Qin ChenDepartment of Ultrasound, Sichuan Provincial People's Hospital, Chengdu 610072, Sichuan Province, China, milton-lj@hotmail.com.
Lichun YangDepartment of Ultrasound, The Third Affiliated Hospital of Kunming Medical University and Yunnan Cancer Hospital, Kunming 650118, Yunnan Province, China.
Ruoxia ShenDepartment of Ultrasound, The Third Affiliated Hospital of Kunming Medical University and Yunnan Cancer Hospital, Kunming 650118, Yunnan Province, China.
Yan ChengDepartment of Ultrasound, Qujing City First People's Hospital, Qujing 655000, Yunnan Province, China.
Zizhen ZhangDepartment of Ultrasound, Qujing City First People's Hospital, Qujing 655000, Yunnan Province, China.
Ehui HanDepartment of Ultrasound, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi 435000, Hubei Province, China.
Zhihong LvDepartment of Ultrasound, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi 435000, Hubei Province, China.
Lijun YuanDepartment of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an 710032, Shanxi Province, China.
Yong YangDepartment of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an 710032, Shanxi Province, China.
Yinrong ChengDepartment of Ultrasound, Chengdu First People's Hospital, Chengdu 610000, Sichuan Province, China.
Lei YangDepartment of Ultrasound, Chengdu First People's Hospital, Chengdu 610000, Sichuan Province, China.
Shengli WangDepartment of Ultrasound, Yanan University Affiliated Hospital, Yan'an 716000, Shanxi Province, China.
Baoyan BaiDepartment of Ultrasound, Yanan University Affiliated Hospital, Yan'an 716000, Shanxi Province, China.
Jun LuoDepartment of Ultrasound, Sichuan Provincial People's Hospital, Chengdu 610072, Sichuan Province, China, milton-lj@hotmail.com.
Fujian Medical University · CNKunming Medical University · CNQujing Normal University · CNAir Force Medical University · CNFourth People's Hospital of Sichuan Province · CNHubei Polytechnic University · CNYanan University Affiliated Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate a classification model of contrast-enhanced ultrasound (CEUS) and examine the characteristics of patients with false-negative diagnosis. PATIENTS AND

methodsA retrospective secondary analysis of a multicenter trial of CEUS for breast cancer diagnosis (from August 2015 to April 2017) was undertaken. Patients (n=1,023) with Breast Imaging Reporting and Data System 4-5 lesions on B-mode ultrasound underwent CEUS. Pathological diagnoses were available from surgical or biopsy specimens for correlation. Lesion maximum diameter (LMD), distance to the papilla (DtP), distance from the superficial edge of the lesion to the skin (DtS), distance from the deep edge of the lesion to the pectoralis muscle (DtPM), and body mass index (BMI) were evaluated.

resultsMedian age and BMI were 48.0 and 41.2 years and 23.2 and 22.4 kg/m

conclusionOlder age, higher BMI, larger LMD and DtP, and smaller DtS and DtPM were associated with malignant lesions on CEUS. Patients with these characteristics should undergo further imaging.

Indexed as

breast cancercontrast-enhanced ultrasoundultrasound

Identifiers

PMID30936748
PMCPMC6421891
OpenAlexW2921407870

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.