Prediction of subpectoral direct-to-implant breast reconstruction failure based on random forest and logistic regression algorithms: A multicenter study in Chinese population.

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作者： Mingjun,Sun ^[1] ; Zhuming,Yin ^[2] ; Jiandong,Lyu ^[3] ; Lingyan,Wang ^[4] ; Weiyu,Bao ^[5] ; Longqiang,Wang ^[6] ; Qingze,Xue ^[7] ; Jiehou,Fan ^[8] ; Jian,Yin ^[9]

作者单位： Tianjin Medical University Cancer Institute & Hospital Department of Breast Reconstruction and Oncoplastic Surgery, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Sino-Russian Joint Research Center for Oncoplastic Breast Surgery, PR China. Electronic address: smj23024198@163.com. ^[1] Tianjin Medical University Cancer Institute & Hospital Department of Breast Reconstruction and Oncoplastic Surgery, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Sino-Russian Joint Research Center for Oncoplastic Breast Surgery, PR China. ^[2] Department of General Surgery, Peking University Binhai Hospital, PR China. ^[3] Department of Breast Surgery, Baoding First Central Hospital, PR China. ^[4] Department of Breast, Gansu Cancer Hospital, PR China. ^[5] Department of Thyroid and Breast Surgery, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, PR China. ^[6] Department of Breast, Shengli Oilfield Central Hospital Dongying, PR China. ^[7] Department of Breast Surgery, Second People's Hospital of Dezhou, PR China. ^[8] Tianjin Medical University Cancer Institute & Hospital Department of Breast Reconstruction and Oncoplastic Surgery, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Sino-Russian Joint Research Center for Oncoplastic Breast Surgery, PR China. Electronic address: yinjian@tjmuch.com. ^[9]

关键词 Direct-to-implant Logistic regression Random forest Reconstruction failure

DOI 10.1016/j.bjps.2024.11.022

PMID 39700848

发布时间 2025-01-05

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Journal of plastic, reconstructive & aesthetic surgery

2025年100卷

327-340页

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Prediction of subpectoral direct-to-implant breast reconstruction failure based on random forest and logistic regression algorithms: A multicenter study in Chinese population.

Journal of plastic, reconstructive & aesthetic surgery

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Journal of plastic, reconstructive & aesthetic surgery

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Prediction of subpectoral direct-to-implant breast reconstruction failure based on random forest and logistic regression algorithms: A multicenter study in Chinese population.

Journal of plastic, reconstructive & aesthetic surgery

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Journal of plastic, reconstructive & aesthetic surgery

相关期刊

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