Radiomics in breast MRI: Current progress toward clinical application in the era of artificial intelligence

H Satake, S Ishigaki, R Ito, S Naganawa - La radiologia medica, 2022 - Springer
Breast magnetic resonance imaging (MRI) is the most sensitive imaging modality for breast
cancer diagnosis and is widely used clinically. Dynamic contrast-enhanced MRI is the basis …

Role of texture analysis in breast MRI as a cancer biomarker: A review

RD Chitalia, D Kontos - Journal of Magnetic Resonance …, 2019 - Wiley Online Library
Breast cancer is a known heterogeneous disease. Current clinically utilized histopathologic
biomarkers may undersample tumor heterogeneity, resulting in higher rates of misdiagnosis …

A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy

EJ Sutton, N Onishi, DA Fehr, BZ Dashevsky… - Breast Cancer …, 2020 - Springer
Background For breast cancer patients undergoing neoadjuvant chemotherapy (NAC),
pathologic complete response (pCR; no invasive or in situ) cannot be assessed non …

Texture analysis with 3.0-T MRI for association of response to neoadjuvant chemotherapy in breast cancer

NL Eun, D Kang, EJ Son, JS Park, JH Youk, JA Kim… - Radiology, 2020 - pubs.rsna.org
Background Previous studies have suggested that texture analysis is a promising tool in the
diagnosis, characterization, and assessment of treatment response in various cancer types …

Predicting the response to neoadjuvant chemotherapy for breast cancer: wavelet transforming radiomics in MRI

J Zhou, J Lu, C Gao, J Zeng, C Zhou, X Lai, W Cai… - BMC cancer, 2020 - Springer
Background The purpose of this study was to investigate the value of wavelet-transformed
radiomic MRI in predicting the pathological complete response (pCR) to neoadjuvant …

Prediction of the pathological response to neoadjuvant chemotherapy in breast cancer patients with MRI-radiomics: a systematic review and meta-analysis

F Pesapane, GM Agazzi, A Rotili, F Ferrari… - Current problems in …, 2022 - Elsevier
We performed a systematic review and a meta-analysis of studies using MRI-radiomics for
predicting the pathological complete response in breast cancer patients undergoing …

[HTML][HTML] Exploring breast cancer response prediction to neoadjuvant systemic therapy using MRI-based radiomics: a systematic review

RWY Granzier, TJA van Nijnatten, HC Woodruff… - European journal of …, 2019 - Elsevier
Purpose MRI-based tumor response prediction to neoadjuvant systemic therapy (NST) in
breast cancer patients is increasingly being studied using radiomics with outcomes that …

Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: results from multi‐institutional …

D DiCenzo, K Quiaoit, K Fatima, D Bhardwaj… - Cancer …, 2020 - Wiley Online Library
Background This study was conducted in order to develop a model for predicting response
to neoadjuvant chemotherapy (NAC) in patients with locally advanced breast cancer (LABC) …

Quantitative ultrasound radiomics for therapy response monitoring in patients with locally advanced breast cancer: Multi-institutional study results

K Quiaoit, D DiCenzo, K Fatima, D Bhardwaj… - PloS one, 2020 - journals.plos.org
Background Neoadjuvant chemotherapy (NAC) is the standard of care for patients with
locally advanced breast cancer (LABC). The study was conducted to investigate the utility of …

MRI radiomics for assessment of molecular subtype, pathological complete response, and residual cancer burden in breast cancer patients treated with neoadjuvant …

S Choudhery, D Gomez-Cardona, CP Favazza… - Academic radiology, 2022 - Elsevier
Rationale and Objectives There are limited data on pretreatment imaging features that can
predict response to neoadjuvant chemotherapy (NAC). To extract volumetric pretreatment …