Evidence map›Paper›PMID 39348079›Full record

ArticleBreast cancer (Tokyo, Japan)2025

Prediction model for individualized precision surgery in breast cancer patients with complete response on MRI and residual calcifications on mammography after neoadjuvant chemotherapy.

Mi-Ri Kwon, Eun Young Ko, Jeong Eon Lee, Boo-Kyung Han, Eun Sook Ko, Ji Soo Choi, Haejung Kim, Myoung Kyoung Kim, Jonghan Yu, Hyunwoo Lee and 1 more

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Article in Breast cancer (Tokyo, Japan), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Mi-Ri KwonDepartment of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Eun Young KoDepartment of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea. claudel@skku.edu.ORCID http://orcid.org/0000-0001-6679-9650
Jeong Eon LeeDivision of Breast Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. paojlus@hanmail.net.
Boo-Kyung HanDepartment of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea.
Eun Sook KoDepartment of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea.
Ji Soo ChoiDepartment of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea.
Haejung KimDepartment of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea.
Myoung Kyoung KimDepartment of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jonghan YuDivision of Breast Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hyunwoo LeeDepartment of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Inyoung YounDepartment of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying whether there is residual carcinoma in remaining suspicious calcifications after neoadjuvant chemotherapy (NAC) in breast cancer patients can provide crucial information for surgeons in determining the most appropriate surgical approach. Therefore, we investigated factors predicting calcifications without residual carcinoma (ypCalc_0) or with residual carcinoma (ypCalc_ca) and aimed to develop a prediction model for patients exhibiting residual suspicious calcifications on mammography but complete response on MRI after NAC.

methodsThis retrospective study included breast cancer patients undergoing NAC, showing residual suspicious mammographic calcifications but complete response on MRI between January 2019 and December 2020 (development set) and between January 2021 and December 2022 (validation set). Multivariable logistic regression analysis identified significant factors associated with ypCalc_0. The prediction model, developed using a decision tree and factors from logistic regression analysis, was validated in the validation set.

resultsThe development set included 134 women (mean age, 50.6 years; 91 with ypCalc_0 and 43 with ypCalc_ca) and validation set included 146 women (mean age, 51.0 years; 108 with ypCalc_0 and 38 with ypCalc_ca). Molecular subtype (P = .0002) and high Ki-67 (P = .02) emerged as significant independent factors associated with ypCalc_0 in the development set. The prediction model, incorporating hormone receptor (HR)-/human epidermal growth factor receptor 2 (HER2)+ with high Ki-67 as ypCalc_0 predictors, and HR+/HER2- cancers or HR+/HER2+ or triple-negative (TN) cancers with low Ki-67, as ypCalc_ca predictors, achieved an area under receiver operating characteristic curve of 0.844 (95% CI 0.774-0.914) in the validation set.

conclusionMinimized surgery may be considered for managing residual calcifications in HR-/HER2+ with high Ki-67 cancers, while complete excision is recommended for HR+/HER2- breast cancers or for HR+/HER2+or TN breast cancers with low Ki-67.

Indexed as

Breast NeoplasmsCalcinosisMagnetic Resonance ImagingMammographyNeoadjuvant TherapyAdultAgedChemotherapy, AdjuvantErb-b2 Receptor Tyrosine KinasesFemaleHumansMiddle AgedNeoplasm, ResidualPrecision MedicineRetrospective StudiesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesBreast cancerCalcificationsMammographyNeoadjuvant chemotherapy

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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 OpenQuestion graph.