Evidence map›Paper›PMID 34702200›Full record

ArticleBMC medical imaging2021

Re-evaluation of high-risk breast mammography lesions by target ultrasound and ABUS of breast non-mass-like lesions.

Jianxing Zhang, Lishang Cai, Ling Chen, Xiyan Pang, Miao Chen, Dan Yan, Jia Liu, Liangping Luo

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Ultrasound diagnosis of non-mass MRI-detected lesions.Journal of medical ultrasonics (2001) · 2023
    Review
  8. 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

8 authors at 3 institutions in 1 country.

Jianxing ZhangDepartment of Medical Imaging Center, Jinan University First Affiliated Hospital, No. 613, Huangpu Road West, Tianhe District, Guangzhou, 510630, Guangdong Province, China. venant@126.com.
Lishang CaiDepartment of Ultrasound, Guangzhou University of Traditional Chinese Medicine First Affiliated Hospital, No. 16, Jichang Road, Baiyun District, Guangzhou, 510403, Guangdong Province, China.
Ling ChenDepartment of Ultrasound, 2Nd Clinical Hospital of Guangzhou Chinese Traditional Medicine College: Guangdong Provincial Hospital of Traditional Chinese Medicine, No. 111, Dade Road, Yuexiu District, Guangzhou, 510120, Guangdong Province, China.
Xiyan PangDepartment of Ultrasound, 2Nd Clinical Hospital of Guangzhou Chinese Traditional Medicine College: Guangdong Provincial Hospital of Traditional Chinese Medicine, No. 111, Dade Road, Yuexiu District, Guangzhou, 510120, Guangdong Province, China.
Miao ChenDepartment of Ultrasound, 2Nd Clinical Hospital of Guangzhou Chinese Traditional Medicine College: Guangdong Provincial Hospital of Traditional Chinese Medicine, No. 111, Dade Road, Yuexiu District, Guangzhou, 510120, Guangdong Province, China.
Dan YanDepartment of Ultrasound, 2Nd Clinical Hospital of Guangzhou Chinese Traditional Medicine College: Guangdong Provincial Hospital of Traditional Chinese Medicine, No. 111, Dade Road, Yuexiu District, Guangzhou, 510120, Guangdong Province, China.
Jia LiuDepartment of Ultrasound, 2Nd Clinical Hospital of Guangzhou Chinese Traditional Medicine College: Guangdong Provincial Hospital of Traditional Chinese Medicine, No. 111, Dade Road, Yuexiu District, Guangzhou, 510120, Guangdong Province, China.
Liangping LuoDepartment of Medical Imaging Center, Jinan University First Affiliated Hospital, No. 613, Huangpu Road West, Tianhe District, Guangzhou, 510630, Guangdong Province, China. tluolp@jnu.edu.cn.
Guangdong Provincial Hospital of Traditional Chinese Medicine · CNFirst Affiliated Hospital of Jinan University · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to reevaluate the high-risk breast non-mass-like lesions (NMLs) in mammography (MG) by target ultrasound (US) and Automated breast ultrasonography (ABUS), and to analyze the correlation between different imaging findings and the factors influencing the classification of lesions.

methodsA total of 161 patients with 166 breast lesions were recruited in this retrospectively study. All cases were diagnosed as BI-RADS 4 or 5 by MG and as NML on ultrasound. While all NMLs underwent mammography, target US and ABUS before breast surgery or biopsy in the consistent position of breast. The imaging and pathological features of all cases were collected. All lesions were classified according to the lexion of ACR BI-RADS®.

resultsThere were significant differences between benign and malignant breast NML in all the features of target US and ABUS. US, especially ABUS, was superior to MG in determining the malignant breast NML. There was a significant difference in the detection rate of calcification between MG and Target US (P < 0.001), and there was a significant difference in the detection rate of structural distortion between ABUS and MG (P < 0.001).

conclusionsTarget US, especially ABUS, can significantly improve the sensitivity, specificity and accuracy of the diagnosis of high-risk NMLs in MG. The features of Target US and ABUS such as blood supply, hyperechogenicity, ductal changes, peripheral changes and coronal features could be employed to predict benign and malignant lesions. The coronal features of ABUS were more sensitive than those of Target HHUS in showing structural abnormalities. Target US was less effective than MG in local micro-calcification.

Indexed as

MammographyAdultAgedBreast DiseasesBreast NeoplasmsDiagnosis, DifferentialFemaleHumansMiddle AgedRetrospective StudiesSensitivity and SpecificityUltrasonography, MammaryAutomated breast ultrasonographyBreast cancerMammographyNon-mass-like lesionTarget ultrasonography

Identifiers

PMID34702200
PMCPMC8549220
OpenAlexW3210925711

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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.