Evidence map›Paper›PMID 31317763›Full record

ArticleThe British journal of radiology2019

Use of preoperative mammography, ultrasonography, and MRI to predict nipple areolar complex involvement in breast cancer.

Soyeoun Lim, Gyeongmin Park, Hye-Jeong Choi, Woon Jung Kwon, Byeong Seong Kang, Minseo Bang

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 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

6 authors at 3 institutions in 1 country.

Soyeoun LimDepartment of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Gyeongmin ParkDepartment of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Hye-Jeong ChoiDepartment of Pathology, Ulsan University Hosptial, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Woon Jung KwonDepartment of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Byeong Seong KangDepartment of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Minseo BangDepartment of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Ulsan University Hospital · KRUlsan College · KRUniversity of Ulsan · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify the predictive factors of cancer invading into the nipple.

methodsPatients with breast cancer undergoing mastectomy between May 2009 and March 2019 were reviewed retrospectively. Of these, those with breast cancer within 2 cm of the nipple areolar complex on ultrasonography were included in this study. Clinicopathological data of the primary tumor and imaging findings from mammography, ultrasonography, and MRI were compared between cases with and without nipple involvement by cancer.

resultsIn total, 156 of the 821 patients identified were included in the analysis. Of them, 29 had nipple involvement by cancer. Univariate analysis revealed that the following imaging results were significantly associated with nipple involvement: perineural invasion, lymphovascular invasion, lymph node metastasis; relation type between the tumor and the nipple on ultrasonography; periareolar skin thickening on mammography; and short tumor-nipple distance, continuous enhancement between the nipple and tumor, skin enhancement, and nipple enhancement on MRI. However, on multivariate logistic regression analysis, only invasion type of tumor on ultrasonography and nipple enhancement and short tumor-nipple distance on MRI were significantly correlated with nipple involvement by cancer.

conclusionImaging findings on preoperative mammography, ultrasonography and MRI are effective predictors for nipple involvement by cancer. ADVANCES IN KNOWLEDGE: Preoperative mammography, ultrasonography, and MRI help predict nipple involvement by breast cancer.

Indexed as

Magnetic Resonance ImagingMammographyUltrasonography, MammaryAdultAnalysis of VarianceBreast NeoplasmsCarcinoma, Ductal, BreastFemaleHumansMiddle AgedNipplesRegression AnalysisRetrospective Studies

Identifiers

PMID31317763
PMCPMC6774590
OpenAlexW2963305103

What OpenQuestion holds

Textmetadata
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.