Literature DB >> 26346047

A model to predict upstaging to invasive carcinoma in patients preoperatively diagnosed with ductal carcinoma in situ of the breast.

Takafumi Kondo1, Naoki Hayashi1, Sachiko Ohde2, Koyu Suzuki3, Atsushi Yoshida1, Hiroshi Yagata1, Naoki Niikura4, Takayuki Iwamoto5, Kumiko Kida1, Michiko Murai1, Yuko Takahashi1, Hiroko Tsunoda6, Seigo Nakamura7, Hideko Yamauchi1.   

Abstract

BACKGROUND: The aims of this study were to determine clinicopathological factors associated with postoperative upstaging to invasive carcinoma in patients preoperatively diagnosed with ductal carcinoma in situ (DCIS) and to develop a model to predict the risk of upstaging.
METHODS: Pre- and post-operative pathological diagnoses and radiological findings were assessed for 1,187 consecutive patients.
RESULTS: Of the patients, 306 (25.8%) were upstaged on the surgical specimen. In multivariate analysis, the following four factors were significantly associated with upstaging: 1) the presence of sclerosing adenosis on the preoperative biopsy specimen (odds ratio [OR] 0.46, P = 0.013); 2) pleomorphic calcifications on the mammogram (OR 1.68, P = 0.009); 3) a mass suspicious for invasive carcinoma on ultrasonography and/or MRI (OR 2.13, P < 0.001); 4) tumor size ≥2 cm on ultrasonography (OR 1.80, P = 0.032). HER2-positive (OR 1.54, P = 0.062) and comedo necrosis (OR 1.42, P = 0.056) demonstrated a trend towards significance. A prediction model incorporating these variables demonstrated that the risk of upstaging was 5.1% with score 0-2 and was 58.1% with score 10.
CONCLUSIONS: The prediction model incorporating clinicopathological features may be used to guide the selection of patients with DCIS for sentinel lymph node biopsy.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  breast cancer; ductal carcinoma in situ; nomogram; sclerosing adenosis

Mesh:

Year:  2015        PMID: 26346047     DOI: 10.1002/jso.24037

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  10 in total

1.  Preoperative Nomogram for Predicting Sentinel Lymph Node Metastasis Risk in Breast Cancer: A Potential Application on Omitting Sentinel Lymph Node Biopsy.

Authors:  Xi'E Hu; Jingyi Xue; Shujia Peng; Ping Yang; Zhenyu Yang; Lin Yang; Yanming Dong; Lijuan Yuan; Ting Wang; Guoqiang Bao
Journal:  Front Oncol       Date:  2021-04-26       Impact factor: 6.244

2.  A prediction model for underestimation of invasive breast cancer after a biopsy diagnosis of ductal carcinoma in situ: based on 2892 biopsies and 589 invasive cancers.

Authors:  Claudia J C Meurs; Joost van Rosmalen; Marian B E Menke-Pluijmers; Bert P M Ter Braak; Linda de Munck; Sabine Siesling; Pieter J Westenend
Journal:  Br J Cancer       Date:  2018-10-17       Impact factor: 7.640

3.  Factors associated with upstaging in patients preoperatively diagnosed with ductal carcinoma in situ by core needle biopsy.

Authors:  Jing Si; Benlong Yang; Rong Guo; Naisi Huang; Chenlian Quan; Linxiaoxi Ma; Bingqiu Xiu; Yun Cao; Yue Tang; Linxiao Shen; Jiajian Chen; Jiong Wu
Journal:  Cancer Biol Med       Date:  2019-05       Impact factor: 4.248

Review 4.  A retrospective alternative for active surveillance trials for ductal carcinoma in situ of the breast.

Authors:  Mieke R Van Bockstal; Marie C Agahozo; Linetta B Koppert; Carolien H M van Deurzen
Journal:  Int J Cancer       Date:  2019-05-08       Impact factor: 7.396

5.  Application of deep learning to predict underestimation in ductal carcinoma in situ of the breast with ultrasound.

Authors:  Lang Qian; Zhikun Lv; Kai Zhang; Kun Wang; Qian Zhu; Shichong Zhou; Cai Chang; Jie Tian
Journal:  Ann Transl Med       Date:  2021-02

6.  Ductal carcinoma in situ: a risk prediction model for the underestimation of invasive breast cancer.

Authors:  Ko Woon Park; Seon Woo Kim; Heewon Han; Minsu Park; Boo-Kyung Han; Eun Young Ko; Ji Soo Choi; Eun Yoon Cho; Soo Youn Cho; Eun Sook Ko
Journal:  NPJ Breast Cancer       Date:  2022-01-14

7.  Breast Lesions Diagnosed as Ductal Carcinoma In Situ by Ultrasound-Guided Core Needle Biopsy: Risk Predictors for Concomitant Invasive Carcinoma and Axillary Lymph Node Metastasis.

Authors:  Yanbiao Liu; Xu Wang; Ang Zheng; Xinmiao Yu; Zining Jin; Feng Jin
Journal:  Front Oncol       Date:  2021-09-10       Impact factor: 6.244

8.  Pathological underestimation and biomarkers concordance rates in breast cancer patients diagnosed with ductal carcinoma in situ at preoperative biopsy.

Authors:  Hemei Zhou; Jing Yu; Xiaodong Wang; Kunwei Shen; Jiandong Ye; Xiaosong Chen
Journal:  Sci Rep       Date:  2022-02-09       Impact factor: 4.379

9.  Ductal Carcinoma in situ after Core Needle Biopsy: In Which Cases Is a Sentinel Node Biopsy Necessary?

Authors:  Robbert J H van Leeuwen; Birgitta Kortmann; Herman Rijna
Journal:  Breast Care (Basel)       Date:  2019-08-29       Impact factor: 2.860

10.  Axillary evaluation is not warranted in patients preoperatively diagnosed with ductal carcinoma in situ by core needle biopsy.

Authors:  Jing Si; Rong Guo; Naisi Huang; Bingqiu Xiu; Qi Zhang; Weiru Chi; Jiong Wu
Journal:  Cancer Med       Date:  2019-10-29       Impact factor: 4.452

  10 in total

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