Role of preoperative breast dual‐energy contrast‐enhanced digital mammography in ductal carcinoma in situ-Reference-Cited by-同舟云学术

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Role of preoperative breast dual‐energy contrast‐enhanced digital mammography in ductal carcinoma in situ

Published:2019-06-25 Issue:5 Volume:25 Page:1034-1036
ISSN:1075-122X
Container-title:The Breast Journal
language:en
Short-container-title:Breast J

Author:

Vignoli Chiara¹^ORCID,Bicchierai Giulia¹^ORCID,De Benedetto Diego¹,Boeri Cecilia¹,Vanzi Ermanno¹,Miele Vittorio²,Cirone Donatello³,Nori Jacopo¹

Affiliation:

1. Diagnostic Senology Unit Azienda Ospedaliero‐Universitaria Careggi Florence Italy

2. Department of Radiology Azienda Ospedaliero‐Universitaria Careggi Florence Italy

3. General Management Staff Azienda Ospedaliero‐Universitaria Careggi Florence Italy

Publisher

Hindawi Limited

Subject

Oncology,Surgery,Internal Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tbj.13408

Reference9 articles.

1. Cancer statistics, 2013

2. Ductal CarcinomaIn Situ: What the Pathologist Needs to Know and Why

3. Contrast-Enhanced Spectral Mammography: Comparison with Conventional Mammography and Histopathology in 152 Women

4. Factors affecting the precision of lesion sizing with contrast-enhanced spectral mammography

5. Low energy mammogram obtained in contrast-enhanced digital mammography (CEDM) is comparable to routine full-field digital mammography (FFDM)

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ductal Carcinoma In Situ;Hematology/Oncology Clinics of North America;2024-08

2. Evolving Treatment Paradigms for Low-Risk Ductal Carcinoma In Situ: Imaging Needs;American Journal of Roentgenology;2023-12-13

3. Role of contrast-enhanced mammography in the preoperative detection of ductal carcinoma in situ of the breasts: a comparison with low-energy image and magnetic resonance imaging;European Radiology;2023-10-19

4. The imaging appearances of non‐calcified ductal carcinoma in situ: A pictorial essay;Journal of Medical Imaging and Radiation Oncology;2023-07-16

5. Development and validation of a deep learning model for breast lesion segmentation and characterization in multiparametric MRI;Frontiers in Oncology;2022-08-11

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