User profiles for Andra Krauze
Andra KrauzeMD Verified email at nih.gov Cited by 1565 |
A phase 2 study of concurrent radiation therapy, temozolomide, and the histone deacetylase inhibitor valproic acid for patients with glioblastoma
AV Krauze, SD Myrehaug, MG Chang… - International Journal of …, 2015 - Elsevier
Purpose Valproic acid (VPA) is an antiepileptic agent with histone deacetylase inhibitor (HDACi)
activity shown to sensitize glioblastoma (GBM) cells to radiation in preclinical models. …
activity shown to sensitize glioblastoma (GBM) cells to radiation in preclinical models. …
Automated glioma grading on conventional MRI images using deep convolutional neural networks
…, H Ning, P Mathen, JY Cheng, AV Krauze… - Medical …, 2020 - Wiley Online Library
Purpose Gliomas are the most common primary tumor of the brain and are classified into
grades I‐IV of the World Health Organization (WHO), based on their invasively histological …
grades I‐IV of the World Health Organization (WHO), based on their invasively histological …
[HTML][HTML] Bringing the heavy: carbon ion therapy in the radiobiological and clinical context
Radiotherapy for the treatment of cancer is undergoing an evolution, shifting to the use of
heavier ion species. For a plethora of malignancies, current radiotherapy using photons or …
heavier ion species. For a plethora of malignancies, current radiotherapy using photons or …
[HTML][HTML] Bias and class imbalance in oncologic data—towards inclusive and transferrable AI in large scale oncology data sets
Simple Summary Large-scale medical data carries significant areas of underrepresentation
and bias at all levels: clinical, biological, and management. Resulting data sets and outcome …
and bias at all levels: clinical, biological, and management. Resulting data sets and outcome …
A prospective study on 18F-DCFPyL PSMA PET/CT imaging in biochemical recurrence of prostate cancer
…, D Wilson, F Lacroix-Poisson, A Krauze… - Journal of Nuclear …, 2019 - Soc Nuclear Med
18 F-DCFPyL (2-(3-{1-carboxy-5-[(6- 18 F-fluoro-pyridine-3-carbonyl)-amino]-pentyl}-ureido)-pentanedioic
acid), a prostate-specific membrane antigen–targeting radiotracer, has shown …
acid), a prostate-specific membrane antigen–targeting radiotracer, has shown …
Brain tumor segmentation using holistically nested neural networks in MRI images
Purpose Gliomas are rapidly progressive, neurologically devastating, largely fatal brain
tumors. Magnetic resonance imaging (MRI) is a widely used technique employed in the …
tumors. Magnetic resonance imaging (MRI) is a widely used technique employed in the …
A randomized phase I/II study of ABT-888 in combination with temozolomide in recurrent temozolomide resistant glioblastoma: an NRG oncology RTOG group study
This study tested the hypothesis that ABT-888 (velparib), a poly (ADP-ribose) polymerase (PARP)
inhibitor, can modulate temozolomide (TMZ) resistance in recurrent TMZ refractory …
inhibitor, can modulate temozolomide (TMZ) resistance in recurrent TMZ refractory …
[HTML][HTML] Hierarchical Voting-Based Feature Selection and Ensemble Learning Model Scheme for Glioma Grading with Clinical and Molecular Characteristics
Determining the aggressiveness of gliomas, termed grading, is a critical step toward treatment
optimization to increase the survival rate and decrease treatment toxicity for patients. …
optimization to increase the survival rate and decrease treatment toxicity for patients. …
Differentiating pseudoprogression from true progression: analysis of radiographic, biologic, and clinical clues in GBM
Introduction Pseudoprogression (PsP) is a diagnostic dilemma in glioblastoma (GBM) after
chemoradiotherapy (CRT). Magnetic resonance imaging (MRI) features may fail to …
chemoradiotherapy (CRT). Magnetic resonance imaging (MRI) features may fail to …
[HTML][HTML] Operational Ontology for Oncology (O3): A professional society-based, multistakeholder, consensus-driven informatics standard supporting clinical and …
Purpose The ongoing lack of data standardization severely undermines the potential for
automated learning from the vast amount of information routinely archived in electronic health …
automated learning from the vast amount of information routinely archived in electronic health …