Mammographic Density and Prediction of Nodal Status in Breast Cancer Patients-Reference-Cited by-同舟云学术

Mammographic Density and Prediction of Nodal Status in Breast Cancer Patients

Published:2013-03-07 Issue:02 Volume:73 Page:136-141
ISSN:0016-5751
Container-title:Geburtshilfe und Frauenheilkunde
language:de
Short-container-title:Geburtsh Frauenheilk

Author:

Hack C.¹,Häberle L.¹,Geisler K.¹,Schulz-Wendtland R.²,Hartmann A.³,Fasching P.¹,Uder M.²,Wachter D.³,Jud S.¹,Loehberg C.¹,Lux M.¹,Rauh C.¹,Beckmann M.¹,Heusinger K.¹

Affiliation:

1. Department of Gynecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University , Erlangen-Nuremberg, Erlangen

2. Institut für gynäkologische Radiologie, Universitätsklinikum Erlangen, Erlangen

3. Institute of Pathology, University Hospital Erlangen, Erlangen

Publisher

Georg Thieme Verlag KG

Subject

Maternity and Midwifery,Obstetrics and Gynecology

Link

http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0032-1328291.pdf

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2. Predicting mammographic density with linear ultrasound transducers;European Journal of Medical Research;2023-09-28

3. A preoperative prediction model for sentinel lymph node status using artificial intelligence on mammographic images and clinicopathological variables in patients with clinically node-negative breast cancer;2023-02-17

4. Mammographic density and prognosis in primary breast cancer patients;The Breast;2021-10

5. Is mammographic density a marker of breast cancer phenotypes?;Cancer Causes & Control;2020-05-14