Literature DB >> 28474262

Multivariate model to identify women at low risk of cancer upgrade after a core needle biopsy diagnosis of atypical ductal hyperplasia.

Alvaro Peña1, Sejal S Shah2, Robert T Fazzio3, Tanya L Hoskin4, Rushin D Brahmbhatt1, Tina J Hieken1, James W Jakub1, Judy C Boughey1, Daniel W Visscher2, Amy C Degnim5.   

Abstract

PURPOSE: Atypical ductal hyperplasia (ADH) identified on percutaneous breast biopsy represents a high-risk lesion, upgrading to cancer with surgical excision in ~7-45.8% of cases. Routine excision is questioned due to potential overtreatment and cost. This study evaluates clinical, imaging, and histologic features to predict the risk of upgrade.
METHODS: With IRB approval, a single-institution retrospective review was performed of patients who underwent surgical excision of ADH diagnosed by core biopsy from June 2005 to June 2013. We reviewed electronic medical records, breast imaging, and biopsy slides. Multiple imputation was used for missing data. Association of various features with cancer upgrade was assessed using logistic regression.
RESULTS: Among 399 cases, the upgrade rate to cancer was 16.0%, (95% CI: 12.8-20.0%), with nine invasive cancers and 55 ductal carcinoma in situ (DCIS) only. Via a logistic regression approach, we defined a subgroup with low risk for upgrade: women whose biopsies showed no individual cell necrosis, and either a) 1 focus of ADH with ≥50% removal, or b) 2-3 foci with ≥90% removal. Cases meeting these criteria had an upgrade rate of 4.9% (95% CI: 1.0-8.9%), compared to 21.4% (16.4-26.3%) in cases that did not meet this low-risk definition.
CONCLUSIONS: ADH on core biopsy with low risk of upgrade to cancer is defined by lack of individual cell necrosis, number of foci of ADH, and percent of imaging lesion removed. If these findings are validated, women whose biopsies meet low-risk criteria might be considered for prevention therapy and surveillance without surgical excision.

Entities:  

Keywords:  Atypical ductal hyperplasia; Breast cancer; Core needle biopsy; Upgrade

Mesh:

Year:  2017        PMID: 28474262     DOI: 10.1007/s10549-017-4253-1

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  13 in total

1.  Management of high-risk breast lesions diagnosed on core biopsies and experiences from prospective high-risk breast lesion conferences at an academic institution.

Authors:  Xiaoxian Li; Zhongliang Ma; Toncred M Styblo; Cletus A Arciero; Haibo Wang; Michael A Cohen
Journal:  Breast Cancer Res Treat       Date:  2020-10-17       Impact factor: 4.872

2.  Performance of a clinical and imaging-based multivariate model as decision support tool to help save unnecessary surgeries for high-risk breast lesions.

Authors:  Dogan S Polat; Jennifer G Schopp; Firouzeh Arjmandi; Jessica Porembka; Venetia Sarode; Deborah Farr; Yin Xi; Basak E Dogan
Journal:  Breast Cancer Res Treat       Date:  2020-10-03       Impact factor: 4.872

3.  Atypical Lesions of the Breast and Lobular Carcinoma in Situ in Pregnancy - Surgeons' Practice.

Authors:  Sadaf Alipour; Ramesh Omranipour; Frederic Amant; Bita Eslami
Journal:  Eur J Breast Health       Date:  2020-01-01

4.  Impact of Non-Calcified Specimen Pathology on the Underestimation of Malignancy for the Incomplete Retrieval of Suspicious Calcifications Diagnosed as Flat Epithelial Atypia or Atypical Ductal Hyperplasia by Stereotactic Vacuum-Assisted Breast Biopsy.

Authors:  Chi Chang Yu; Yun Chung Cheung; Shir Hwa Ueng; Shin Cheh Chen
Journal:  Korean J Radiol       Date:  2020-07-22       Impact factor: 3.500

Review 5.  Second International Consensus Conference on lesions of uncertain malignant potential in the breast (B3 lesions).

Authors:  Christoph J Rageth; Elizabeth A M O'Flynn; Katja Pinker; Rahel A Kubik-Huch; Alexander Mundinger; Thomas Decker; Christoph Tausch; Florian Dammann; Pascal A Baltzer; Eva Maria Fallenberg; Maria P Foschini; Sophie Dellas; Michael Knauer; Caroline Malhaire; Martin Sonnenschein; Andreas Boos; Elisabeth Morris; Zsuzsanna Varga
Journal:  Breast Cancer Res Treat       Date:  2018-11-30       Impact factor: 4.872

6.  Prediction of Atypical Ductal Hyperplasia Upgrades Through a Machine Learning Approach to Reduce Unnecessary Surgical Excisions.

Authors:  Lia Harrington; Roberta diFlorio-Alexander; Katherine Trinh; Todd MacKenzie; Arief Suriawinata; Saeed Hassanpour
Journal:  JCO Clin Cancer Inform       Date:  2018-12

7.  Development and Validation of a Simple-to-Use Nomogram for Predicting the Upgrade of Atypical Ductal Hyperplasia on Core Needle Biopsy in Ultrasound-Detected Breast Lesions.

Authors:  Yun-Xia Huang; Ya-Ling Chen; Shi-Ping Li; Ju-Ping Shen; Ke Zuo; Shi-Chong Zhou; Cai Chang
Journal:  Front Oncol       Date:  2021-03-31       Impact factor: 6.244

8.  The appropriate number of preoperative core needle biopsy specimens for analysis in breast cancer.

Authors:  Tao Sun; Hanwen Zhang; Wei Gao; Qifeng Yang
Journal:  Medicine (Baltimore)       Date:  2021-04-09       Impact factor: 1.817

Review 9.  Atypical ductal hyperplasia: update on diagnosis, management, and molecular landscape.

Authors:  Tanjina Kader; Prue Hill; Emad A Rakha; Ian G Campbell; Kylie L Gorringe
Journal:  Breast Cancer Res       Date:  2018-05-02       Impact factor: 6.466

10.  Atypical ductal hyperplasia and the risk of underestimation: tissue sampling method, multifocality, and associated calcification significantly influence the diagnostic upgrade rate based on subsequent surgical specimens.

Authors:  Christoph J Rageth; Ravit Rubenov; Cristian Bronz; Daniel Dietrich; Christoph Tausch; Ann-Katrin Rodewald; Zsuzsanna Varga
Journal:  Breast Cancer       Date:  2018-12-27       Impact factor: 4.239

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.