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

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Title: Prediction model for individualized precision surgery in breast cancer patients with complete response on MRI and residual calcifications on mammography after neoadjuvant chemotherapy.
Authors: Kwon MR; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea., Ko EY; Department of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea. claudel@skku.edu., Lee JE; Division of Breast Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. paojlus@hanmail.net., Han BK; Department of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea., Ko ES; Department of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea., Choi JS; Department of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea., Kim H; Department of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea., Kim MK; Department of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea., Yu J; Division of Breast Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea., Lee H; Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea., Youn I; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Source: Breast cancer (Tokyo, Japan) [Breast Cancer] 2025 Jan; Vol. 32 (1), pp. 109-119. Date of Electronic Publication: 2024 Sep 30.
Publication Type: Journal Article
Journal Info: Publisher: Maruzen Co Country of Publication: Japan NLM ID: 100888201 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1880-4233 (Electronic) Linking ISSN: 13406868 NLM ISO Abbreviation: Breast Cancer Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Prediction model for individualized precision surgery in breast cancer patients with complete response on MRI and residual calcifications on mammography after neoadjuvant chemotherapy.
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  Data: <searchLink fieldCode="AU" term="%22Kwon+MR%22">Kwon MR</searchLink>; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Ko+EY%22">Ko EY</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea. claudel@skku.edu.<br /><searchLink fieldCode="AU" term="%22Lee+JE%22">Lee JE</searchLink>; Division of Breast Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. paojlus@hanmail.net.<br /><searchLink fieldCode="AU" term="%22Han+BK%22">Han BK</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Ko+ES%22">Ko ES</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Choi+JS%22">Choi JS</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+H%22">Kim H</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+MK%22">Kim MK</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center,, Sungkyunkwan University School of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Yu+J%22">Yu J</searchLink>; Division of Breast Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Lee+H%22">Lee H</searchLink>; Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Youn+I%22">Youn I</searchLink>; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
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  Data: <searchLink fieldCode="JN" term="%22100888201%22">Breast cancer (Tokyo, Japan)</searchLink> [Breast Cancer] 2025 Jan; Vol. 32 (1), pp. 109-119. <i>Date of Electronic Publication: </i>2024 Sep 30.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Maruzen+Co%22">Maruzen Co </searchLink><i>Country of Publication: </i>Japan <i>NLM ID: </i>100888201 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1880-4233 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213406868%22">13406868 </searchLink><i>NLM ISO Abbreviation: </i>Breast Cancer <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39348079
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        Value: 10.1007/s12282-024-01638-7
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        Text: English
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            – D: 01
              M: 01
              Text: 2025 Jan
              Type: published
              Y: 2025
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