A N0 Predicting Model for Sentinel Lymph Node Biopsy Omission in Early Breast Cancer Upstaged From Ductal Carcinoma in Situ

  • Yoo, Tae-Kyung
  • Kim, Sei Joong
  • Lee, JungSun
  • Lee, Sae Byul
  • Lee, Soo Jung
  • 외 6명
Citations

WEB OF SCIENCE

12
Citations

SCOPUS

12

초록

Approximately one-quarter of patients with ductal carcinoma in situ are upstaged to invasive cancer after surgery; however, less than 5% have axillary nodal involvement. In these patients, additional axillary surgery can be omitted after accurate estimation of negative axillary involvement. Using a nationwide cohort database, we developed and validated a scoring system for prediction of axillary lymph node metastasis. The application of this system in this clinic will reduce unnecessary axillary surgeries in patients with ductal carcinoma in situ. Background: A prediction model with high sensitivity for the detection of negative axillary involvement can reduce additional axillary surgery in patients with ductal carcinoma in situ (DCIS) upstaged to invasive cancer while saving patients with pure DCIS from unnecessary axillary surgeries. Using a nationwide database, we developed and validated a scoring system for guidance in selective sentinel lymph node biopsy omission. Patients and Methods: A total of 41,895 patients with clinically node-negative breast cancer from the Korean Breast Cancer Registry were included. The study cohort was randomly divided for the development and validation of the prediction model. Missing data were filled in using multiple imputation. Factors that were significantly associated with axillary lymph node (ALN) metastasis in > 50% of datasets were included in the final prediction model. Results: The frequency of ALN metastasis in the total cohort was 24.5%. After multivariable logistic regression analysis, variables that were associated with ALN metastasis were palpability, multifocality, location, size, histologic type, grade, lymphovascular invasion, hormone receptor expression, and Ki-67 level. A scoring system was developed using these factors. The areas under the receiver operating characteristic curve for the scoring system was 0.750 in both training and validating sets. The cutoff value for performing sentinel lymph node biopsy was determined as a score of 4 to obtain prediction sensitivity higher than 95%. Conclusions: A scoring system to predict the probability of ALN metastasis was developed and validated. The application of this system in the clinic may reduce unnecessary axillary surgeries in patients with DCIS and minimize additional axillary surgery for upstaged patients with invasive cancer. (C) 2019 Published by Elsevier Inc.

키워드

Breast cancerDuctal carcinoma in situPrediction modelSLNB omissionUpstagingAMERICAN-SOCIETYONCOLOGYNOMOGRAMMETASTASISRISKDISSECTIONIMPACTTRIAL
제목
A N0 Predicting Model for Sentinel Lymph Node Biopsy Omission in Early Breast Cancer Upstaged From Ductal Carcinoma in Situ
저자
Yoo, Tae-KyungKim, Sei JoongLee, JungSunLee, Sae ByulLee, Soo JungPark, Ho YongPark, Heung KyuChae, Byung JooEom, Yong HwaKim, Hyung SukSong, Byung Joo
DOI
10.1016/j.clbc.2019.11.011
발행일
2020-06
유형
Article
저널명
Clinical Breast Cancer
20
3
페이지
E281 ~ E289