Magnetic resonance imaging in screening of breast cancer

Y Gao, B Reig, L Heacock, DL Bennett… - Radiologic …, 2021 - radiologic.theclinics.com
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Magnetic resonance imaging phenotypes of breast cancer molecular subtypes: a systematic review

N Ab Mumin, MTR Hamid, JHD Wong, K Rahmat… - Academic radiology, 2022 - Elsevier
Objective Magnetic resonance imaging (MRI) is the most sensitive imaging modality in
detecting breast cancer. The purpose of this systematic review is to investigate the role of …

Radiologic-pathologic correlation in breast cancer: do MRI biomarkers correlate with pathologic features and molecular subtypes?

F Galati, V Rizzo, G Moffa, C Caramanico… - European Radiology …, 2022 - Springer
Background Breast cancer (BC) includes different pathological and molecular subtypes. This
study aimed to investigate whether multiparametric magnetic resonance imaging (mpMRI) …

Deep learning radiomic analysis of DCE-MRI combined with clinical characteristics predicts pathological complete response to neoadjuvant chemotherapy in breast …

Y Li, Y Fan, D Xu, Y Li, Z Zhong, H Pan, B Huang… - Frontiers in …, 2023 - frontiersin.org
Objective The aim of this study was to develop and validate a deep learning-based radiomic
(DLR) model combined with clinical characteristics for predicting pathological complete …

US cancer screening recommendations: developments and the impact of COVID-19

A Barsouk, K Saginala, JS Aluru, P Rawla, A Barsouk - Medical Sciences, 2022 - mdpi.com
The USPSTF and ACS recommend screening for breast, cervical, colorectal, and lung
cancers. Rates of cancer screening, diagnosis, and treatment decreased significantly in the …

Joint-phase attention network for breast cancer segmentation in DCE-MRI

R Huang, Z Xu, Y Xie, H Wu, Z Li, Y Cui, Y Huo… - Expert Systems with …, 2023 - Elsevier
Breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an
important role in the screening and treatment evaluation of high-risk breast cancer. The …

Existing and emerging breast cancer detection technologies and its challenges: a review

AA Abdul Halim, AM Andrew, MN Mohd Yasin… - Applied Sciences, 2021 - mdpi.com
Breast cancer is the most leading cancer occurring in women and is a significant factor in
female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments …

Diagnostic strategies for breast cancer detection: from image generation to classification strategies using artificial intelligence algorithms

JA Basurto-Hurtado, IA Cruz-Albarran… - Cancers, 2022 - mdpi.com
Simple Summary With the recent advances in the field of artificial intelligence, it has been
possible to develop robust and accurate methodologies that can deliver noticeable results in …

Diffusion-weighted breast MRI in prediction of upstaging in women with biopsy-proven ductal carcinoma in situ

SA Lee, Y Lee, HS Ryu, M Jang, WK Moon, HG Moon… - Radiology, 2022 - pubs.rsna.org
Background Accurate preoperative prediction of upstaging in women with biopsy-proven
ductal carcinoma in situ (DCIS) is important for surgical planning, but published models …

Deep learning in breast imaging

A Bhowmik, S Eskreis-Winkler - BJR| Open, 2022 - academic.oup.com
Millions of breast imaging exams are performed each year in an effort to reduce the
morbidity and mortality of breast cancer. Breast imaging exams are performed for cancer …