Cargando…

Deep learning quantification of vascular pharmacokinetic parameters in mouse brain tumor models

BACKGROUND: Dynamic contrast-enhanced (DCE) MRI is widely used to assess vascular perfusion and permeability in cancer. In small animal applications, conventional modeling of pharmacokinetic (PK) parameters from DCE MRI images is complex and time consuming. This study is aimed at developing a deep l...

Descripción completa

Detalles Bibliográficos
Autores principales:	Arledge, Chad A., Sankepalle, Deeksha M., Crowe, William N., Liu, Yang, Wang, Lulu, Zhao, Dawen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048985/ https://www.ncbi.nlm.nih.gov/pubmed/35345331 http://dx.doi.org/10.31083/j.fbl2703099

Ejemplares similares

Transfer Learning Approach to Vascular Permeability Changes in Brain Metastasis Post-Whole-Brain Radiotherapy
por: Arledge, Chad A., et al.
Publicado: (2023)

Deep Learning-based Quantification of Anterior Segment OCT Parameters
por: Soh, Zhi Da, et al.
Publicado: (2023)

3D Ultrasound-Guided Photoacoustic Imaging to Monitor the Effects of Suboptimal Tyrosine Kinase Inhibitor Therapy in Pancreatic Tumors
por: Claus, Abigail, et al.
Publicado: (2022)

Longitudinal MRI Evaluation of Intracranial Development and Vascular Characteristics of Breast Cancer Brain Metastases in a Mouse Model
por: Zhou, Heling, et al.
Publicado: (2013)

Microvasculature Segmentation and Intercapillary Area Quantification of the Deep Vascular Complex Using Transfer Learning
por: Lo, Julian, et al.
Publicado: (2020)

Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis
por: Kobayashi, Soma, et al.
Publicado: (2022)

AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline
por: Zhou, Yukun, et al.
Publicado: (2022)

Evaluation of Uncertainty Quantification in Deep Learning
por: Ståhl, Niclas, et al.
Publicado: (2020)

Deep learning quantification of percent steatosis in donor liver biopsy frozen sections
por: Sun, Lulu, et al.
Publicado: (2020)

Spatial quantification of clinical biomarker pharmacokinetics through deep learning-based segmentation and signal-oriented analysis of MSOT data
por: Hoffmann, Bianca, et al.
Publicado: (2022)

Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study
por: Wu, Chaowei, et al.
Publicado: (2023)

Phosphatidylserine-Targeted Nanotheranostics for Brain Tumor Imaging and Therapeutic Potential
por: Wang, Lulu, et al.
Publicado: (2017)

CEST MR fingerprinting (CEST‐MRF) for brain tumor quantification using EPI readout and deep learning reconstruction
por: Cohen, Ouri, et al.
Publicado: (2022)

Deep learning for automatic quantification of lung abnormalities in COVID-19 patients: First experience and correlation with clinical parameters
por: Mergen, Victor, et al.
Publicado: (2020)

Quantification of deep medullary veins at 7 T brain MRI
por: Kuijf, Hugo J., et al.
Publicado: (2016)

Quantification of Efflorescences in Pustular Psoriasis Using Deep Learning
por: Amruthalingam, Ludovic, et al.
Publicado: (2022)

An inhalable nanoparticulate STING agonist synergizes with radiotherapy to confer long-term control of lung metastases
por: Liu, Yang, et al.
Publicado: (2019)

Pharmacokinetic parameters of ifosfamide in mouse pre-administered with grapefruit juice or naringin
por: Madrigal-Bujaidar, Eduardo, et al.
Publicado: (2019)

Quantification of Lappaconitine in Mouse Blood by UPLC-MS/MS and Its Application to a Pharmacokinetic Study
por: Chen, Fan, et al.
Publicado: (2019)

Correlation of vascular and fluid‐related parameters in neovascular age‐related macular degeneration using deep learning
por: Schranz, Markus, et al.
Publicado: (2022)

Simultaneous Quantification and Pharmacokinetic Characterization of Doxapram and 2-Ketodoxapram in Porcine Plasma and Brain Tissue
por: Kraft, Manuel, et al.
Publicado: (2022)

Predicting outcome of Morris water maze test in vascular dementia mouse model with deep learning
por: Higaki, Akinori, et al.
Publicado: (2018)

Applications of Deep Learning: Automated Assessment of Vascular Tortuosity in Mouse Models of Oxygen-Induced Retinopathy
por: Chen, Jimmy S., et al.
Publicado: (2023)

Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides
por: Marzahl, Christian, et al.
Publicado: (2020)

Quantification of Cognitive Function in Alzheimer’s Disease Based on Deep Learning
por: He, Yanxian, et al.
Publicado: (2021)

Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures
por: Kompa, Benjamin, et al.
Publicado: (2021)

Deep Learning Solution for Quantification of Fluorescence Particles on a Membrane
por: Sellam, Abdellah Zakaria, et al.
Publicado: (2023)

Robust adversarial uncertainty quantification for deep learning fine-tuning
por: Ahmed, Usman, et al.
Publicado: (2023)

Classification of Mouse Lung Metastatic Tumor with Deep Learning
por: Lee, Ha Neul, et al.
Publicado: (2022)

ROI for outlining an entire tumor is a reliable approach for quantification of lung cancer tumor vascular parameters using CT perfusion
por: Ma, Ensen, et al.
Publicado: (2016)

Ensemble deep learning for brain tumor detection
por: Alsubai, Shtwai, et al.
Publicado: (2022)

Quantification of the Cannabinoid Type 1 Receptor Availability in the Mouse Brain
por: Miederer, Isabelle, et al.
Publicado: (2020)

Felodipine induces autophagy in mouse brains with pharmacokinetics amenable to repurposing
por: Siddiqi, Farah H., et al.
Publicado: (2019)

Forecasting Directional Movement of Stock Prices using Deep Learning
por: Chandola, Deeksha, et al.
Publicado: (2022)

Deep learning-based quantification of abdominal fat on magnetic resonance images
por: Grainger, Andrew T., et al.
Publicado: (2018)

Improved amyloid burden quantification with nonspecific estimates using deep learning
por: Liu, Haohui, et al.
Publicado: (2021)

Deep Learning for the Automatic Quantification of Pleural Plaques in Asbestos-Exposed Subjects
por: Benlala, Ilyes, et al.
Publicado: (2022)

Explainable uncertainty quantifications for deep learning-based molecular property prediction
por: Yang, Chu-I, et al.
Publicado: (2023)

Localization and quantification of glottal gaps on deep learning segmentation of vocal folds
por: Pedersen, Mette, et al.
Publicado: (2023)

Virtual mouse brain histology from multi-contrast MRI via deep learning
por: Liang, Zifei, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_anm1p5qkm3r8oifdkuscnrs975