Assessment of short-term breast cancer risk using a frequency domain correlation based imaging marker

2019 ◽  
Author(s):  
Morteza Heidari ◽  
Alan Hollingsworth ◽  
Seyedehnafiseh Mirniaharikandehei ◽  
Gopichandh Danala ◽  
Yuchen Qiu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Frequency Domain ◽  
Short Term

scholarly journals Transiently increased risk of breast cancer after childbirth: implications for fertility treatments and surrogacy

2020 ◽  
Vol 35 (6) ◽  
pp. 1253-1255
Author(s):  
Zeev Blumenfeld ◽  
Norbert Gleicher ◽  
Eli Y Adashi
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Small Degree ◽  
Short Term ◽  
Benefit Ratio ◽  
Professional Societies ◽  
Fertility Treatments ◽  
Increased Risk

Abstract Whereas longstanding dogma has purported that pregnancies protect women from breast cancer, a recent meta-analysis now mandates reconsideration since it reported an actual higher breast cancer risk for more than two decades after childbirth before the relative risk turns negative. Moreover, the risk of breast cancer appears higher for women having their first birth at an older age and with a family history and it is not reduced by breastfeeding. The process of obtaining informed consent for all fertility treatments, therefore, must make patients aware of the facts that every pregnancy, to a small degree, will increase the short-term breast cancer risk. This observation may be even more relevant in cases of surrogacy where women agree to conceive without deriving benefits of offspring from assuming the risk, thus creating a substantially different risk-benefit ratio. Consequently, it appears prudent for professional societies in the field to update recommendations regarding consent information for all fertility treatments but especially for treatments involving surrogacy.

scholarly journals Short-term weight gain and breast cancer risk by hormone receptor classification among pre- and postmenopausal women

2015 ◽  
Vol 150 (3) ◽  
pp. 643-653 ◽  
Author(s):  
Bernard Rosner ◽  
A. Heather Eliassen ◽  
Adetunji T. Toriola ◽  
Susan E. Hankinson ◽  
Walter C. Willett ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Weight Gain ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Postmenopausal Women ◽  
Hormone Receptor ◽  
Short Term

Applying a CAD-generated imaging marker to assess short-term breast cancer risk

2018 ◽  
Author(s):  
Seyedehnafiseh Mirniaharikandehei ◽  
Ali Zarafshani ◽  
Morteza Heidari ◽  
Yunzhi Wang ◽  
Faranak Aghaei ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Short Term

scholarly journals Detection of potential microcalcification clusters using multivendor for‐presentation digital mammograms for short‐term breast cancer risk estimation

2019 ◽  
Vol 46 (4) ◽  
pp. 1938-1946 ◽  
Author(s):  
Maya Alsheh Ali ◽  
Mikael Eriksson ◽  
Kamila Czene ◽  
Per Hall ◽  
Keith Humphreys
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Risk Estimation ◽  
Short Term ◽  
Microcalcification Clusters

RPFNA cytologic atypia and short-term breast cancer risk in the prevention era.

2014 ◽  
Vol 32 (15_suppl) ◽  
pp. 1521-1521
Author(s):  
Whitney L. Michaels ◽  
Carola Maria Zalles ◽  
Amy L Kreutzjans ◽  
Jennifer L Nydegger ◽  
Jessica A Box ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Short Term ◽  
Cytologic Atypia

scholarly journals Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk

2018 ◽  
Vol 63 (10) ◽  
pp. 105005 ◽  
Author(s):  
Seyedehnafiseh Mirniaharikandehei ◽  
Alan B Hollingsworth ◽  
Bhavika Patel ◽  
Morteza Heidari ◽  
Hong Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Computer Aided Detection ◽  
Short Term ◽  
Detection Scheme ◽  
Computer Aided

scholarly journals Association of Microcalcification Clusters with Short-term Invasive Breast Cancer Risk and Breast Cancer Risk Factors

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Maya Alsheh Ali ◽  
Kamila Czene ◽  
Per Hall ◽  
Keith Humphreys
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Invasive Breast Cancer ◽  
Breastfeeding Duration ◽  
Short Term ◽  
Cancer Risk Factors ◽  
Breast Cancer Risk Factors ◽  
Microcalcification Clusters

Abstract Using for-presentation and for-processing digital mammograms, the presence of microcalcifications has been shown to be associated with short-term risk of breast cancer. In a previous article we developed an algorithm for microcalcification cluster detection from for-presentation digital mammograms. Here, we focus on digitised mammograms and use a three-step algorithm. In total, 253 incident invasive breast cancer cases (with a negative mammogram between three months and two years before diagnosis, from which we measured microcalcifications) and 728 controls (also with prior mammograms) were included in a short-term risk study. After adjusting for potential confounding variables, we found evidence of an association between the number of microcalcification clusters and short-term (within 3–24 months) invasive breast cancer risk (per cluster OR = 1.30, 95% CI = (1.11, 1.53)). Using the 728 postmenopausal healthy controls, we also examined association of microcalcification clusters with reproductive factors and other established breast cancer risk factors. Age was positively associated with the presence of microcalcification clusters (p = 4 × 10−04). Of ten other risk factors that we studied, life time breastfeeding duration had the strongest evidence of association with the presence of microcalcifications (positively associated, unadjusted p = 0.001). Developing algorithms, such as ours, which can be applied on both digitised and digital mammograms (in particular for presentation images), is important because large epidemiological studies, for deriving markers of (clinical) risk prediction of breast cancer and prognosis, can be based on images from these different formats.

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