Quantitative multiparametric breast ultrasound: application of contrast-enhanced ultrasound and elastography leads to an improved differentiation of benign and …

P Kapetas, P Clauser, R Woitek, GJ Wengert… - Investigative …, 2019 - journals.lww.com
Objectives The aim of this study was to evaluate breast multiparametric ultrasound (mpUS)
and its potential to reduce unnecessary breast biopsies with 1, 2, or 3 additional quantitative …

Fused sparse network learning for longitudinal analysis of mild cognitive impairment

P Yang, F Zhou, D Ni, Y Xu, S Chen… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a neurodegenerative disease with an irreversible and
progressive process. To understand the brain functions and identify the biomarkers of AD …

Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients

K Drukker, A Edwards, C Doyle… - Journal of Medical …, 2019 - spiedigitallibrary.org
The purpose of this study was to evaluate breast MRI radiomics in predicting, prior to any
treatment, the response to neoadjuvant chemotherapy (NAC) in patients with invasive lymph …

[HTML][HTML] Comparative study on local binary patterns for mammographic density and risk scoring

M George, R Zwiggelaar - Journal of Imaging, 2019 - mdpi.com
Breast density is considered to be one of the major risk factors in developing breast cancer.
High breast density can also affect the accuracy of mammographic abnormality detection …

A nomogram for individual prediction of vascular invasion in primary breast cancer

F Ouyang, B Guo, X Huang, L Ouyang, C Zhou… - European journal of …, 2019 - Elsevier
Objectives To explore the feasibility of preoperative prediction of vascular invasion (VI) in
breast cancer patients using nomogram based on multiparametric MRI and pathological …

[HTML][HTML] Prediction of Pathological Complete Response after Neoadjuvant Chemotherapy for breast cancer using ensemble machine learning

R Bhardwaj, N Hooda - Informatics in Medicine Unlocked, 2019 - Elsevier
Neoadjuvant Chemotherapy is administered intravenously during the treatment of breast
cancer. Prior to surgery, doctors recommend chemotherapy to shrink the large size of an …

Susan G. Komen big data for breast cancer initiative: how patient advocacy organizations can facilitate using big data to improve patient outcomes

J Jourquin, SB Reffey, C Jernigan, M Levy… - JCO Precision …, 2019 - ascopubs.org
Integrating different types of data, including electronic health records, imaging data,
administrative and claims databases, large data repositories, the Internet of Things …

Ocena patomorfologiczna materiału tkankowego raka piersi po przedoperacyjnym leczeniu systemowym (neoadiuwantowym)

WP Olszewski, A Marszałek - Onkologia w Praktyce Klinicznej …, 2019 - journals.viamedica.pl
W postępowaniu onkologicznym u chorych na raka piersi leczenie systemowe
przedoperacyjne w ostatniej dekadzie zwiększyło w sposób istotny swoją skuteczność …

Lymphocyte infiltration predicts survival in chemotherapy-naive, triple-negative breast cancer and identifies patients with intrinsically good prognosis: have we been …

P Dubsky, G Montagna, M Ritter - Annals of Oncology, 2019 - annalsofoncology.org
Invasive breast tumors that lack the expression of hormone receptors and lack
overexpression/amplification of the human epidermal growth factor receptor 2 are defined as …

Neural Network Ensemble-Based Prediction System for Chemotherapy Pathological Response: A Case Study

R Bhardwaj, N Hooda - International Conference on Advanced …, 2019 - Springer
During the diagnosis of breast cancer, neoadjuvant chemotherapy is supplied intravenously.
Physicians recommend chemotherapy before surgery to reduce the invasive tumor's large …