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1.
Quantitative Apparent Diffusion Coefficients From Peritumoral Regions as Early Predictors of Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer.
J Magn Reson Imaging
; 56(6): 1901-1909, 2022 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-35499264
2.
Functional Tumor Volume by Fast Dynamic Contrast-Enhanced MRI for Predicting Neoadjuvant Systemic Therapy Response in Triple-Negative Breast Cancer.
J Magn Reson Imaging
; 54(1): 251-260, 2021 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-33586845
3.
Radiographic patterns of progression with associated outcomes after bevacizumab therapy in glioblastoma patients.
J Neurooncol
; 135(1): 75-81, 2017 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-28702781
4.
Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRI.
Sci Rep
; 13(1): 1171, 2023 01 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-36670144
5.
Predicting pathological complete response to neoadjuvant systemic therapy for triple-negative breast cancers using deep learning on multiparametric MRIs.
Annu Int Conf IEEE Eng Med Biol Soc
; 2023: 1-4, 2023 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-38083160
6.
A Radiomics Model Based on Synthetic MRI Acquisition for Predicting Neoadjuvant Systemic Treatment Response in Triple-Negative Breast Cancer.
Radiol Imaging Cancer
; 5(4): e230009, 2023 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-37505106
7.
Clinical Outcomes in Non-Small-Cell Lung Cancer Patients Treated With EGFR-Tyrosine Kinase Inhibitors and Other Targeted Therapies Based on Tumor Versus Plasma Genomic Profiling.
JCO Precis Oncol
; 52021 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-34377884
8.
Assessment of Early Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer Using Amide Proton Transfer-weighted Chemical Exchange Saturation Transfer MRI: A Pilot Study.
Radiol Imaging Cancer
; 3(5): e200155, 2021 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-34477453
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