Evidence mapPaperPMID 42363571Full record

ArticleThe breast journal2026

Factors Associated With Preoperative Radiological Tumor Size Underestimation in Clinical T1-2 Breast Cancer Patients.

Jungbin Kim, Yujin Lee, Sam-Youl Yoon, Hyunjin Cho, Ye Young Seo, Ji-Young Kim, Young-Joo Shin, Kyeongmee Park, Geumhee Gwak

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Article in The breast journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

9 authors.

Jungbin KimDepartment of Surgery, College of Medicine, Sanggye Paik Hospital, Inje University, Seoul, South Korea, inje.ac.kr.
Yujin LeeDepartment of Surgery, College of Medicine, Sanggye Paik Hospital, Inje University, Seoul, South Korea, inje.ac.kr.
Sam-Youl YoonDepartment of Surgery, College of Medicine, Sanggye Paik Hospital, Inje University, Seoul, South Korea, inje.ac.kr.
Hyunjin ChoDepartment of Surgery, College of Medicine, Sanggye Paik Hospital, Inje University, Seoul, South Korea, inje.ac.kr.
Ye Young SeoDepartment of Nuclear Medicine, College of Medicine, Sanggye Paik Hospital, Inje University, Seoul, South Korea, medcol.mw.
Ji-Young KimDepartment of Radiology, College of Medicine, Sanggye Paik Hospital, Inje University, Seoul, South Korea, medcol.mw.
Young-Joo ShinDepartment of Radiation Oncology, College of Medicine, Sanggye Paik Hospital, Inje University, Seoul, South Korea, medcol.mw.
Kyeongmee ParkDepartment of Pathology, College of Medicine, Sanggye Paik Hospital, Inje University, Seoul, South Korea, medcol.mw.
Geumhee GwakDepartment of Surgery, College of Medicine, Sanggye Paik Hospital, Inje University, Seoul, South Korea, inje.ac.kr.ORCID https://orcid.org/0000-0002-7910-1052

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate preoperative tumor size measurement is essential for determining optimal surgical margins in breast cancer patients. Thus, this study aimed to evaluate the factors associated with preoperative radiological tumor underestimation in clinical T (cT) Stage 1-2 breast cancer patients.

methodsWe retrospectively reviewed the data of 365 cT1-2 breast cancer patients. Radiological tumor size was defined as the larger dimension on ultrasonography or magnetic resonance imaging. A pathological-to-radiological tumor size ratio > 1.2 or a tumor size discrepancy (pathology minus radiology) ≥ 5 mm was considered indicative of radiological underestimation. Preoperative variables, including age, body mass index (BMI), cT stage, maximum standardized uptake value of tumor, molecular subtype, and histologic subtype and grade, were analyzed to identify associated factors. Tumor size discrepancy (pathology minus radiology) was compared across subgroups, and the difference between pathological and radiological tumor size measurements was evaluated in each subgroup.

resultsA BMI ≥ 25 kg/m

conclusionIn cT1-2 breast cancer patients, a BMI ≥ 25 kg/m

Indexed as

Breast NeoplasmsCarcinoma, LobularAdultAgedAged, 80 and overBody Mass IndexFemaleHumansMagnetic Resonance ImagingMiddle AgedNeoplasm StagingRetrospective StudiesTumor BurdenUltrasonography, Mammarybody mass indexbreast neoplasmscarcinomahistologylobularradiology

Identifiers

PMID42363571
PMCPMC13309613

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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 Socratic graph.