Neo-CheckRay: radiation therapy and adenosine pathway blockade to increase benefit of immuno-chemotherapy in early stage luminal B breast cancer, a randomized phase II trial.

Auteurs : De Caluwe A, Buisseret L, Poortmans P, Van Gestel D, Salgado R, Sotiriou C, Larsimont D, Paesmans M, Craciun L, Drisis S, Vandekerckhove C, Reyal F, Veys I, Eiger D, Piccart-Gebhart M, Romano E, Ignatiadis M
Jaar : 2021
Journal : BMC Cancer
Volume : 21
Pagina's : 899

Early prediction of neoadjuvant treatment outcome in locally advanced breast cancer using parametric response mapping and radial heterogeneity from breast MRI.

Auteurs : Drisis S, El Adoui M, Flamen P, Benjelloun M, de Wind R, Paesmans M, Ignatiadis M, Bali MA, Lemort M
Jaar : 2020
Journal : J Magn Reson Imaging
Volume : 51
Pagina's : 1403-1411

Prognostic value of a three-scale grading system based on combining molecular imaging with ⁶⁸Ga-DOTATATE and ¹⁸F-FDG PET/CT in patients with metastatic gastroenteropancreatic neuroendocrine neoplasias.

Auteurs : Karfis I, Marin G, Levillain H, Drisis S, Muteganya R, Critchi G, Taraji-Schiltz L, Guix CA, Shaza L, Elbachiri M, Mans L, Machiels G, Hendlisz A, Flamen P
Jaar : 2020
Journal : Oncotarget
Volume : 11
Pagina's : 589-599

Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.

Auteurs : El Adoui M, Drisis S, Benjelloun M
Jaar : 2020
Journal : Int J Comput Assist Radiol Surg
Volume : 15
Pagina's : 1491-1500

Deep Learning approach predicting breast tumor response to neoadjuvant treatment using DCE-MRI volumes acquired before and after chemotherapy.

Auteurs : El Adoui M, Lahrmam M, Drisis S, Benjelloun M
Jaar : 2019
Journal : Progress in Biomedical Optics and Imaging
Volume : -
Pagina's : 10 pages

Predict Breast Tumor Response to Chemotherapy Using a 3D Deep Learning Architecture Applied to DCE-MRI Data. (Chapter book in : Bioinformatics and Biomedical Engineering - pages : 33-40)

Auteurs : El Adoui M, Drisis S, Benjelloun M
Jaar : 2019
Journal : Book
Volume : -
Pagina's : 33-44

The impact of breast MRI workup on tumor size assessment and surgical planning in patients with early breast cancer.

Auteurs : Pop FC, Stanciu-Pop C, Drisis S, Radermeker M, Vandemerckt C, Noterman D, Moreau M, Larsimont D, Nogaret JM, Veys I
Jaar : 2018
Journal : Breast J
Volume : 24
Pagina's : 927-933

A PRM approach for early prediction of breast cancer response to chemotherapy based on registered MR images.

Auteurs : El Adoui M, Drisis S, Benjelloun M
Jaar : 2018
Journal : Int J Comput Assist Radiol Surg
Volume : 13
Pagina's : 1233-1243

Total choline quantification measured by 1H MR spectroscopy as early predictor of response after neoadjuvant treatment for locally advanced breast cancer: The impact of immunohistochemical status.

Auteurs : Drisis S, Flamen P, Ignatiadis M, Metens T, Chao SL, Chintinne M, Lemort M
Jaar : 2018
Journal : J Magn Reson Imaging
Volume : 48(4)
Pagina's : 982-993

Quantitative DCE-MRI for prediction of pathological complete response following neoadjuvant treatment for locally advanced breast cancer: the impact of breast cancer subtypes on the diagnostic accuracy.

Auteurs : Drisis S, Metens T, Ignatiadis M, Stathopoulos K, Chao SL, Lemort M
Jaar : 2016
Journal : Eur Radiol
Volume : 26(5)
Pagina's : 1474-84

Plasma circulating tumor DNA as an alternative to metastatic biopsies for mutational analysis in breast cancer.

Auteurs : Rothé F, Laes JF, Lambrechts D, Smeets D, Vincent D, Maetens M, Fumagalli D, Michiels S, Drisis S, Moerman C, Detiffe JP, Larsimont D, Awada A, Piccart-Gebhart M, Sotiriou C, Ignatiadis M
Jaar : 2014
Journal : Ann Oncol
Volume : 25(10)
Pagina's : 1959-65