Liu P, Zhao Y, Rong DD, Li KF, Wang YJ, Zhao J, Kang H. Diagnostic value of preoperative examination for evaluating margin status in breast cancer. World J Clin Cases 2023; 11(20): 4852-4864 [PMID: 37583993 DOI: 10.12998/wjcc.v11.i20.4852]
Corresponding Author of This Article
Hua Kang, MD, Chief Doctor, Department of General Surgery, Center for Thyroid and Breast Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, Beijing 100053, China. kanghua@xwh.ccmu.edu.cn
Research Domain of This Article
Surgery
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Clin Cases. Jul 16, 2023; 11(20): 4852-4864 Published online Jul 16, 2023. doi: 10.12998/wjcc.v11.i20.4852
Diagnostic value of preoperative examination for evaluating margin status in breast cancer
Peng Liu, Ye Zhao, Dong-Dong Rong, Kai-Fu Li, Ya-Jun Wang, Jing Zhao, Hua Kang
Peng Liu, Ye Zhao, Kai-Fu Li, Ya-Jun Wang, Jing Zhao, Hua Kang, Department of General Surgery, Center for Thyroid and Breast Surgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
Peng Liu, Department of General Surgery, Beijing Fengtai Hospital, Beijing 100071, China
Dong-Dong Rong, Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
Author contributions: Liu P and Kang H designed the study; Liu P, Zhao Y, and Rong DD wrote the manuscript; Liu P, Li KF, and Zhao J performed the experiments; Zhao Y, Rong DD and Wang YJ analyzed the data; Hua Kang reviewed and revised the manuscript; all authors have read and approved the final manuscript.
Institutional review board statement: The study was reviewed and approved by the Ethics Committee of Xuanwu Hospital, Capital Medical University.
Informed consent statement: The data used in this study were not related to the patients’ privacy information, so the informed consent was waived by the Ethics Committee of Xuanwu Hospital, Capital Medical University. All data obtained, recorded, and managed were only used for this study, without any harm to the patients.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Hua Kang, MD, Chief Doctor, Department of General Surgery, Center for Thyroid and Breast Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, Beijing 100053, China. kanghua@xwh.ccmu.edu.cn
Received: May 11, 2023 Peer-review started: May 11, 2023 First decision: May 31, 2023 Revised: June 8, 2023 Accepted: June 21, 2023 Article in press: June 21, 2023 Published online: July 16, 2023 Processing time: 62 Days and 6.8 Hours
Core Tip
Core Tip: This retrospective study analyzed ultrasound, mammography, magnetic resonance imaging (MRI), and biopsy data from enrolled patients and developed a nomogram model to forecast the success of breast-conserving surgery (BCS). This study revealed that estrogen receptor-positive status, mammography tumor type, maximum intensity projection imaging feature, and MRI tumor type were four variables capable of predicting negative margins and influencing the outcome of BCS. The results underwent internal validation and were additionally corroborated via calibration curves, indicating a robust correlation between predicted and actual surgical success rates. Overall, this study offers valuable data for assessing the success of BCS in the preoperative phase.
