[HTML][HTML] The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges

Z Liu, S Wang, D Dong, J Wei, C Fang, X Zhou… - Theranostics, 2019 - ncbi.nlm.nih.gov
Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …

Radiomics of multiparametric MRI for pretreatment prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer: a multicenter study

Z Liu, Z Li, J Qu, R Zhang, X Zhou, L Li, K Sun… - Clinical Cancer …, 2019 - AACR
Purpose: We evaluated the performance of the newly proposed radiomics of multiparametric
MRI (RMM), developed and validated based on a multicenter dataset adopting a radiomic …

[HTML][HTML] Emerging role of quantitative imaging (radiomics) and artificial intelligence in precision oncology

AK Jha, S Mithun, UB Sherkhane… - … of Targeted Anti …, 2023 - ncbi.nlm.nih.gov
Cancer is a fatal disease and the second most cause of death worldwide. Treatment of
cancer is a complex process and requires a multi-modality-based approach. Cancer …

Deep learning-based predictive biomarker of pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer

F Li, Y Yang, Y Wei, P He, J Chen, Z Zheng… - Journal of translational …, 2021 - Springer
Background Pathological complete response (pCR) is considered a surrogate endpoint for
favorable survival in breast cancer patients treated with neoadjuvant chemotherapy (NAC) …

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 …, 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 …

Quantitative MRI biomarkers of stereotactic radiotherapy outcome in brain metastasis

E Karami, H Soliman, M Ruschin, A Sahgal… - Scientific reports, 2019 - nature.com
Abstract About 20–40% of cancer patients develop brain metastases, causing significant
morbidity and mortality. Stereotactic radiation treatment is an established option that delivers …

A priori prediction of local failure in brain metastasis after hypo-fractionated stereotactic radiotherapy using quantitative MRI and machine learning

M Jaberipour, H Soliman, A Sahgal… - Scientific Reports, 2021 - nature.com
This study investigated the effectiveness of pre-treatment quantitative MRI and clinical
features along with machine learning techniques to predict local failure in patients with brain …

Radiomics: a quantitative imaging biomarker in precision oncology

AK Jha, S Mithun, NC Purandare… - Nuclear Medicine …, 2022 - journals.lww.com
Cancer treatment is heading towards precision medicine driven by genetic and biochemical
markers. Various genetic and biochemical markers are utilized to render personalized …

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 …

Artificial intelligence to support person-centred care in breast imaging-A scoping review

M Champendal, L Marmy, C Malamateniou… - Journal of medical …, 2023 - Elsevier
Abstract Aim To overview Artificial Intelligence (AI) developments and applications in breast
imaging (BI) focused on providing person-centred care in diagnosis and treatment for breast …