Evidence map›Paper›PMID 23074123›Full record

ArticleYonsei medical journal2012

Histological analysis of benign breast imaging reporting and data system categories 4c and 5 breast lesions in imaging study.

Min Jung Kim, Dokyung Kim, WooHee Jung, Ja Seung Koo

Open access · goldAbstract read
In one paragraph

Article in Yonsei medical journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact, top 85% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. The promise of artificial intelligence in diagnostic breast pathology.Virchows Archiv : an international journal of pathology · 2026
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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

4 authors at 1 institution in 1 country.

Min Jung KimDepartment of Pathology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, Korea.
Dokyung Kim
WooHee Jung
Ja Seung Koo
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe objective of this study was to analyze the histology of breast lesions categorized as Breast Imaging Reporting and Data System (BI-RADS) 4c or 5 breast lesions during the imaging evaluation, but diagnosed as benign during the histological evaluation. MATERIALS AND

methodsWe retrospectively reviewed 71 breast lesions categorized as BI-RADS 4c or 5 during imaging study, but diagnosed as benign upon histological evaluation.

resultsBreast lesions were classified into six groups upon histological analysis: intraductal papilloma (18 cases), inflammatory group (15 cases), fibroepithelial tumor (14 cases), clustered microcalcification (10 cases), minimal histological alteration (10 cases), and adenosis (4 cases). Sclerosis and architectural complexity were associated with most of the biopsies that were morphologically similar to malignancy.

conclusionAmong 71 cases categorized as 4c or 5 during the imaging study, but diagnosed as benign upon histological examination, intraductal papilloma was the most frequently identified histological lesion. These 71 cases exhibited histological characteristics of sclerosis and/or complex/complicated features that should be histologically differentiated from malignancy during evaluation.

Indexed as

BiopsyBreast DiseasesBreast NeoplasmsFemaleHumansRadiographyRetrospective Studies

Identifiers

PMID23074123
PMCPMC3481383
OpenAlexW2107541354

What OpenQuestion holds

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LicenceCC BY-NC
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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.