Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?-Reference-Cited by-同舟云学术

Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?

Published:2017-02-09 Issue:5 Volume:46 Page:1332-1340
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J. Magn. Reson. Imaging

Author:

Harowicz Michael R.¹^ORCID,Saha Ashirbani¹,Grimm Lars J.¹,Marcom P. Kelly²,Marks Jeffrey R.³,Hwang E. Shelley⁴,Mazurowski Maciej A.¹⁵⁶

Affiliation:

1. Department of RadiologyDuke University School of Medicine, Duke UniversityDurham North Carolina USA

2. Department of MedicineDuke University School of MedicineDurham North Carolina USA

3. Department of SurgeryDuke University School of MedicineDurham North Carolina USA

4. Department of Surgical OncologyDuke University Medical CenterDurham North Carolina USA

5. Department of Electrical and Computer EngineeringDuke UniversityDurham North Carolina USA

6. Duke University Medical Physics ProgramDurham North Carolina USA

Funder

National Institutes of Health

U.S. Department of Defense

North Carolina Biotechnology Center

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.25655

Reference40 articles.

1. Ductal Carcinoma In Situ of the Breast: A Systematic Review of Incidence, Treatment, and Outcomes

2. Is there a role of sentinel lymph node biopsy in ductal carcinoma in situ?: analysis of 587 cases

3. Predictors of invasive disease in breast cancer when core biopsy demonstrates DCIS only

4. Predictors of Residual Invasive Disease after Core Needle Biopsy Diagnosis of Ductal Carcinoma In Situ

5. Sonographic lesion size of ductal carcinoma in situ as a preoperative predictor for the presence of an invasive focus

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