Evidence map›Paper›PMID 33685388›Full record

ArticleBMC medical imaging2021

The relationship between breast density, age, and mammographic lesion type among Chinese breast cancer patients from a large clinical dataset.

Yu Ji, Boxin Li, Rui Zhao, Ying Zhang, Junjun Liu, Hong Lu

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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Development of an Automated CAD System for Lesion Detection in DCE-MRI.Journal of imaging informatics in medicine · 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

6 authors at 1 institution in 1 country.

Yu JiDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Boxin LiDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Rui ZhaoDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Ying ZhangDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Junjun LiuDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Hong LuDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China. luhong77@163.com.
Tianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to investigate the relationship between breast density, age, and mammographic lesion type among Chinese breast cancer patients included in a large clinical dataset.

methodsA review of mammographic images acquired between July 2014 and June 2017 from a total of 9716 retrospectively registered breast cancer patients was conducted. Mammographic breast density was defined according to the American College of Radiology Breast Imaging Reporting and Data System (ACR BI-RADS) 4-class density rating. Mammographic lesion types were defined according to the ACR BI-RADS, including mass, mass with calcifications, calcifications, architectural distortion/asymmetries, and architectural distortion/asymmetries with calcifications. Three experienced breast radiologists interpreted all mammograms. The chi-square (χ

resultsA significant inverse relationship was observed between the BI-RADS breast density rating given by radiologists and patient age (r = - 0.521, p < 0.01). The breast density distribution in breast cancer patients from China reversed at the age of 55 years, and exhibited one age peak in the age 55-59 year group. The percentage of lesions with calcifications decreased with increasing age (p < 0.01), and increased with increasing breast density (p < 0.01).

conclusionsIn general, we identified a relationship between patient breast density, age, and mammographic lesion type. This finding may provide a basis for clinical diagnoses and support development of breast cancer screening programs in China.

Indexed as

MammographyAdultAgedAged, 80 and overAge FactorsBreastBreast DensityBreast NeoplasmsChinaDatasets as TopicFemaleHumansMiddle AgedRetrospective StudiesSensitivity and SpecificityAgeBreast cancerBreast densityChinese womenMammographic lesion type

Identifiers

PMID33685388
PMCPMC7938487
OpenAlexW3134521793

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.