Upstaging Prediction Model to Guide the Application of Sentinel Lymph Node Biopsy in Patients With Ductal Carcinoma In Situ: A Retrospective Comparative Study

Our Model A derived from the systematic review of the real-world data reduced the incomplete treatment rate of SLNB. Our Model B also showed the highest predictive value. With the two models, we provided a clearer indication for surgeons to perform SLNB in DCIS patients and demonstrated proof of concept, allowing ready input of patient data.

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Publication Details

Journal
Journal of Surgical Oncology
Published
2024-11-07
DOI
https://doi.org/10.1002/jso.27983
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Upstaging Prediction Model to Guide the Application of Sentinel Lymph Node Biopsy in Patients With Ductal Carcinoma In Situ: A Retrospective Comparative Study

Thanh G. Phan, Ching‐Wen Chiu, Ka‐Wai Tam, Chih‐Ming Su et al.
Journal of Surgical Oncology
Breast Cancer Treatment Studies
article

Upstaging Prediction Model to Guide the Application of Sentinel Lymph Node Biopsy in Patients With Ductal Carcinoma In Situ: A Retrospective Comparative Study

Thanh G. Phan, Ching‐Wen Chiu, Ka‐Wai Tam, Chih‐Ming Su, Li‐Min Liao, Chi-Chun Su
article en

Abstract

Our Model A derived from the systematic review of the real-world data reduced the incomplete treatment rate of SLNB. Our Model B also showed the highest predictive value. With the two models, we provided a clearer indication for surgeons to perform SLNB in DCIS patients and demonstrated proof of concept, allowing ready input of patient data.

Journal of Surgical OncologyVol. 131(4)
Taipei Medical University-Shuang Ho Hospital (TW), Taipei Medical University (TW)
Taipei Medical University
Good health and well-being
Openalex Percentile: Top 71%
Breast Cancer Treatment Studies
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