[HTML][HTML] Plasma circulating tumor DNA as an alternative to metastatic biopsies for mutational analysis in breast cancer
…, M Maetens, D Fumagalli, S Michiels, S Drisis… - Annals of oncology, 2014 - Elsevier
Background Molecular screening programs use next-generation sequencing (NGS) of
cancer gene panels to analyze metastatic biopsies. We interrogated whether plasma could …
cancer gene panels to analyze metastatic biopsies. We interrogated whether plasma could …
Quantitative DCE-MRI for prediction of pathological complete response following neoadjuvant treatment for locally advanced breast cancer: the impact of breast …
S Drisis, T Metens, M Ignatiadis, K Stathopoulos… - European …, 2016 - Springer
Objectives To assess whether DCE-MRI pharmacokinetic (PK) parameters obtained before
and during chemotherapy can predict pathological complete response (pCR) differently for …
and during chemotherapy can predict pathological complete response (pCR) differently for …
Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images
M El Adoui, S Drisis, M Benjelloun - International journal of computer …, 2020 - Springer
Purpose Neoadjuvant chemotherapy (NAC) aims to minimize the tumor size before surgery.
Predicting response to NAC could reduce toxicity and delays to effective intervention …
Predicting response to NAC could reduce toxicity and delays to effective intervention …
[PDF][PDF] Breast cancer heterogeneity analysis as index of response to treatment using MRI images: a review
M El Adoui, S Drisis, MA Larhmam, M Lemort… - Imaging …, 2017 - orbi.umons.ac.be
Purpose: Breast tumor structure contains a high degree of heterogeneity. This heterogeneity
has been correlated with the level of tumor response to neoadjuvant chemotherapy. A …
has been correlated with the level of tumor response to neoadjuvant chemotherapy. A …
[HTML][HTML] Prognostic value of a three-scale grading system based on combining molecular imaging with 68Ga-DOTATATE and 18F-FDG PET/CT in patients with …
I Karfis, G Marin, H Levillain, S Drisis, R Muteganya… - Oncotarget, 2020 - ncbi.nlm.nih.gov
We investigated on the added prognostic value of a three-scale combined molecular
imaging with 68 Ga-DOTATATE and 18 F-FDG PET/CT,(compared to Ki-67 based …
imaging with 68 Ga-DOTATATE and 18 F-FDG PET/CT,(compared to Ki-67 based …
The impact of breast MRI workup on tumor size assessment and surgical planning in patients with early breast cancer
CF Pop, C Stanciu‐Pop, S Drisis… - The breast …, 2018 - Wiley Online Library
Background The size and focality of the primary tumor in breast cancer (BC) influence
therapeutic decision making. The purpose of this study was to evaluate whether …
therapeutic decision making. The purpose of this study was to evaluate whether …
A PRM approach for early prediction of breast cancer response to chemotherapy based on registered MR images
M El Adoui, S Drisis, M Benjelloun - International journal of computer …, 2018 - Springer
Purpose This study aims to provide and optimize a performing algorithm for predicting the
breast cancer response rate to the first round of chemotherapy using Magnetic Resonance …
breast cancer response rate to the first round of chemotherapy using Magnetic Resonance …
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: a multi-institutional validation study
Predicting response to neoadjuvant therapy is a vexing challenge in breast cancer. In this
study, we evaluate the ability of deep learning to predict response to HER2-targeted neo …
study, we evaluate the ability of deep learning to predict response to HER2-targeted neo …
Deep Learning approach predicting breast tumor response to neoadjuvant treatment using DCE-MRI volumes acquired before and after chemotherapy
M El Adoui, MA Larhmam, S Drisis… - Medical Imaging …, 2019 - spiedigitallibrary.org
Purpose: In breast cancer medical follow-up, due to the lack of specialized aided diagnosis
tools, many breast cancer patients may continue to receive chemotherapy even if they do not …
tools, many breast cancer patients may continue to receive chemotherapy even if they do not …
Predict breast tumor response to chemotherapy using a 3D deep learning architecture applied to DCE-MRI data
M El Adoui, S Drisis, M Benjelloun - … , IWBBIO 2019, Granada, Spain, May 8 …, 2019 - Springer
Purpose: Many breast cancer patients receiving chemotherapy cannot achieve positive
response unlimitedly. The main objective of this study is to predict the intra tumor breast …
response unlimitedly. The main objective of this study is to predict the intra tumor breast …