Radiomics, deep learning and early diagnosis in oncology
P Wei - Emerging topics in life sciences, 2021 - portlandpress.com
Medical imaging, including X-ray, computed tomography (CT), and magnetic resonance
imaging (MRI), plays a critical role in early detection, diagnosis, and treatment response …
imaging (MRI), plays a critical role in early detection, diagnosis, and treatment response …
MRI-based digital models forecast patient-specific treatment responses to neoadjuvant chemotherapy in triple-negative breast cancer
Triple-negative breast cancer (TNBC) is persistently refractory to therapy, and methods to
improve targeting and evaluation of responses to therapy in this disease are needed. Here …
improve targeting and evaluation of responses to therapy in this disease are needed. Here …
MRI breast: current imaging trends, clinical applications, and future research directions
Magnetic Resonance Imaging (MRI) is the most sensitive and advanced imaging technique
in diagnosing breast cancer and is essential in improving cancer detection, lesion …
in diagnosing breast cancer and is essential in improving cancer detection, lesion …
Four‐dimensional machine learning radiomics for the pretreatment assessment of breast cancer pathologic complete response to neoadjuvant chemotherapy in …
Background Breast cancer response to neoadjuvant chemotherapy (NAC) is typically
evaluated through the assessment of tumor size reduction after a few cycles of NAC. In case …
evaluated through the assessment of tumor size reduction after a few cycles of NAC. In case …
Assessment of response to neoadjuvant systemic treatment in triple-negative breast cancer using functional tumor volumes from longitudinal dynamic contrast …
B Panthi, BE Adrada, RP Candelaria, MS Guirguis… - Cancers, 2023 - mdpi.com
Simple Summary Neoadjuvant systemic therapy (NAST) is given before surgery to reduce
tumor burden in patients with triple-negative breast cancer (TNBC), which is an aggressive …
tumor burden in patients with triple-negative breast cancer (TNBC), which is an aggressive …
A radiomics model based on synthetic MRI acquisition for predicting neoadjuvant systemic treatment response in triple-negative breast cancer
Purpose To determine if a radiomics model based on quantitative maps acquired with
synthetic MRI (SyMRI) is useful for predicting neoadjuvant systemic therapy (NAST) …
synthetic MRI (SyMRI) is useful for predicting neoadjuvant systemic therapy (NAST) …
Diffusion Tensor Imaging for Characterizing Changes in Triple‐Negative Breast Cancer During Neoadjuvant Systemic Therapy
BC Musall, DE Rauch, RMM Mohamed… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Assessment of treatment response in triple‐negative breast cancer (TNBC) may
guide individualized care for improved patient outcomes. Diffusion tensor imaging (DTI) …
guide individualized care for improved patient outcomes. Diffusion tensor imaging (DTI) …
Predictive value of multiparametric MRI for response to single-cycle induction chemo-immunotherapy in locally advanced head and neck squamous cell carcinoma
K Hellwig, S Ellmann, M Eckstein… - Frontiers in …, 2021 - frontiersin.org
Objectives To assess the predictive value of multiparametric MRI for treatment response
evaluation of induction chemo-immunotherapy in locally advanced head and neck …
evaluation of induction chemo-immunotherapy in locally advanced head and neck …
Visual evaluation of ultrafast MRI in the assessment of residual breast cancer after neoadjuvant systemic therapy: A preliminary study association with subtype
The purpose of this study was to investigate the diagnostic performance of ultrafast DCE (UF-
DCE) MRI after the completion of neoadjuvant systemic therapy (NST) in breast cancer. In …
DCE) MRI after the completion of neoadjuvant systemic therapy (NST) in breast cancer. In …
Combining Biology-based and MRI Data-driven Modeling to Predict Response to Neoadjuvant Chemotherapy in Patients with Triple-Negative Breast Cancer
CE Stowers, C Wu, Z Xu, S Kumar, C Yam… - Radiology: Artificial …, 2024 - pubs.rsna.org
“Just Accepted” papers have undergone full peer review and have been accepted for
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …