Evidence map›Paper›PMID 31598344›Full record

ArticleJournal of breast cancer2019

Measuring Tumor Extent Based on Subtypes Using Magnetic Resonance Imaging: Radiologic-Pathologic Discordance and High Positive Margin Rates in Breast Cancer.

Soong June Bae, Sung Gwe Ahn, Chang Ik Yoon, Ban Seok Yang, Hak Woo Lee, Eun Ju Son, Joon Jeong

Open access · goldAbstract read
In one paragraph

Article in Journal of breast cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Triple-Negative Breast Cancer: Histopathologic Features, Genomics, and Treatment.Radiographics : a review publication of the Radiological Society of North America, Inc · 2023
    Article
  4. 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

7 authors at 2 institutions in 3 countries.

Soong June BaeDepartment of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0002-0012-9694
Sung Gwe AhnDepartment of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0002-8778-9686
Chang Ik YoonDepartment of Surgery, St. Mary's Hospital, The Catholic University of Korea, College of Medicine, Seoul, Korea.ORCID 0000-0002-7273-8886
Ban Seok YangDepartment of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0003-3769-2664
Hak Woo LeeDepartment of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0001-9218-9688
Eun Ju SonDepartment of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0002-7895-0335
Joon JeongDepartment of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0003-0397-0005
Yonsei University · KRSt. Mary's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe evaluated the clinical value of breast magnetic resonance imaging (MRI) in patients who underwent breast-conserving surgery (BCS). The degree of correlation between pathology size and MRI or ultrasonography (US) size was compared based on breast cancer subtypes. In addition, we investigated the positive margin rates.

methodsPatients with invasive breast cancer who underwent preoperative breast MRI and US between 2011 and 2016 were included in the study. Lin's concordance correlation coefficient was used to measure the correlation between MRI or US andpathologic tumor extent. Tumor extent was defined as pathologic tumor size, including

resultsA total of 516 patients with a single tumor who underwent BCS were included in the study. The correlation between pathologic size and MRI was significantly higher than that of US (r = 0.6975 vs. 0.6211,

conclusionBreast MRI was superior to US in the preoperative assessment of the pathologic extent of tumor size; this was most evident in TNBC. For HER2-positive tumors, imaging-pathologic discordance resulted in higher positive margin rates than that with other subtypes.

Indexed as

Breast neoplasmsMagnetic resonance imagingMargins of excisionReceptor, ErbB-2Ultrasonography

Identifiers

PMID31598344
PMCPMC6769395
OpenAlexW2969767664

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.