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. |
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| 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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| ISSN: | 1880-4233 |
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| DOI: | 10.1007/s12282-024-01638-7 |
