Predictive biomarkers of response to neoadjuvant chemotherapy in breast cancer: current and future perspectives for precision medicine

F Derouane, C van Marcke, M Berlière, A Gerday… - Cancers, 2022 - mdpi.com
Simple Summary Despite the increased use of neoadjuvant chemotherapy in the early
setting of breast cancer, there is a clinical need for predictive markers of response in daily …

Ultrasound radiomics in personalized breast management: Current status and future prospects

J Gu, T Jiang - Frontiers in oncology, 2022 - frontiersin.org
Breast cancer is the most common cancer in women worldwide. Providing accurate and
efficient diagnosis, risk stratification and timely adjustment of treatment strategies are …

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 digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment …

K Saednia, A Lagree, MA Alera, L Fleshner, A Shiner… - Scientific Reports, 2022 - nature.com
Complete pathological response (pCR) to neoadjuvant chemotherapy (NAC) is a prognostic
factor for breast cancer (BC) patients and is correlated with improved survival. However …

Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with …

A Safakish, L Sannachi, D DiCenzo, C Kolios… - Frontiers in …, 2023 - frontiersin.org
Aim Cancer treatments with radiation present a challenging physical toll for patients, which
can be justified by the potential reduction in cancerous tissue with treatment. However, there …

A hierarchical self‐attention‐guided deep learning framework to predict breast cancer response to chemotherapy using pre‑treatment tumor biopsies

K Saednia, WT Tran, A Sadeghi‑Naini - Medical Physics, 2023 - Wiley Online Library
Background Pathological complete response (pCR) to neoadjuvant chemotherapy (NAC)
has demonstrated a strong correlation to improved survival in breast cancer (BC) patients …

Comparison of methods for texture analysis of QUS parametric images in the characterization of breast lesions

LO Osapoetra, W Chan, W Tran, MC Kolios… - PLoS …, 2020 - journals.plos.org
Purpose Accurate and timely diagnosis of breast carcinoma is very crucial because of its
high incidence and high morbidity. Screening can improve overall prognosis by detecting …

A narrative review of ultrasound technologies for the prediction of neoadjuvant chemotherapy response in breast cancer

J Wang, Y Chu, B Wang, T Jiang - Cancer Management and …, 2021 - Taylor & Francis
The incidence and mortality rate of breast cancer (BC) in women currently ranks first
worldwide, and neoadjuvant chemotherapy (NAC) is widely used in patients with BC. A …

Exploring Neoadjuvant Chemotherapy, Predictive Models, Radiomic, and Pathological Markers in Breast Cancer: A Comprehensive Review

B Elsayed, A Alksas, M Shehata, A Mahmoud, M Zaky… - Cancers, 2023 - mdpi.com
Simple Summary Breast cancer is considered as the most common malignancy among
females, and its treatment takes many forms and types. Neoadjuvant chemotherapy (NACT) …

Assessment of clinical radiosensitivity in patients with head-neck squamous cell carcinoma from pre-treatment quantitative ultrasound radiomics

LO Osapoetra, A Dasgupta, D DiCenzo, K Fatima… - Scientific Reports, 2021 - nature.com
To investigate the role of quantitative ultrasound (QUS) radiomics to predict treatment
response in patients with head and neck squamous cell carcinoma (HNSCC) treated with …