Evidence map›Paper›PMID 34880658›Full record

ArticleInternational journal of general medicine2021

Dependability of Automated Breast Ultrasound (ABUS) in Assessing Breast Imaging Reporting and Data System (BI-RADS) Category and Size of Malignant Breast Lesions Compared with Handheld Ultrasound (HHUS) and Mammography (MG).

He Chen, Ming Han, Hui Jing, Zhao Liu, Haitao Shang, Qiucheng Wang, Wen Cheng

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Study on ABUS Applicability for Rural Women With Low Health Resources in China-Large-Scale Population, Non-Opportunistic Screening.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2025
    Article
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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

7 authors at 2 institutions in 1 country.

He ChenDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin City, Heilongjiang Province, People's Republic of China.
Ming HanDepartment of General Surgery, Heji Hospital of Changzhi Medical College, Changzhi City, Shanxi Province, People's Republic of China.
Hui JingDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin City, Heilongjiang Province, People's Republic of China.
Zhao LiuDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin City, Heilongjiang Province, People's Republic of China.ORCID 0000-0003-0208-3594
Haitao ShangDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin City, Heilongjiang Province, People's Republic of China.ORCID 0000-0001-6503-2650
Qiucheng WangDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin City, Heilongjiang Province, People's Republic of China.
Wen ChengDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin City, Heilongjiang Province, People's Republic of China.
Harbin Medical University · CNChangzhi Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to evaluate the dependability of automated breast ultrasound (ABUS) compared with handheld ultrasound (HHUS) and mammography (MG) on the Breast Imaging Reporting and Data System (BI-RADS) category and size assessment of malignant breast lesions. PATIENTS AND

methodsA total of 344 confirmed malignant lesions were recruited. All participants underwent MG, HHUS, and ABUS examinations. Agreements on the BI-RADS category were evaluated. Lesion size assessed using the three methods was compared with the size of the pathological result as the control. Regarding the four major molecular subtypes, correlation coefficients between size on imaging and pathology were also evaluated.

resultsThe agreement between ABUS and HHUS on the BI-RADS category was 86.63% (kappa = 0.77), whereas it was 32.22% (kappa = 0.10) between ABUS and MG. Imaging lesion size compared to pathologic lesion size was assessed correctly in 36.92%/52.91% (ABUS), 33.14%/48.84% (HHUS) and 33.44%/43.87% (MG), with the threshold of 3 mm/5 mm, respectively. The correlation coefficient of size of ABUS-Pathology (0.75, Spearman) was statistically higher than that of the MG-Pathology (0.58, Spearman) with P < 0.01, but not different from that of the HHUS-Pathology (0.74, Spearman) with P > 0.05. The correlation coefficient of ABUS-Pathology was statistically higher than that of MG-Pathology in the triple-negative subtype, luminal B subtype, and luminal A subtype (

conclusionThe agreement between ABUS and HHUS in the BI-RADS category was good, whereas that between ABUS and MG was poor. ABUS and HHUS allowed a more accurate assessment of malignant tumor size compared to MG.

Indexed as

automated breast ultrasoundbreast imaging reporting and data system categoryhand-held ultrasoundmammographysize assessment

Identifiers

PMID34880658
PMCPMC8647168
OpenAlexW3216524505

What OpenQuestion holds

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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.