Cargando…

AI-based MRI auto-segmentation of brain tumor in rodents, a multicenter study

Automatic segmentation of rodent brain tumor on magnetic resonance imaging (MRI) may facilitate biomedical research. The current study aims to prove the feasibility for automatic segmentation by artificial intelligence (AI), and practicability of AI-assisted segmentation. MRI images, including T2WI,...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Shuncong, Pang, Xin, de Keyzer, Frederik, Feng, Yuanbo, Swinnen, Johan V., Yu, Jie, Ni, Yicheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840251/ https://www.ncbi.nlm.nih.gov/pubmed/36641470 http://dx.doi.org/10.1186/s40478-023-01509-w

Ejemplares similares

Impact of Blood–Brain Barrier to Delivering a Vascular-Disrupting Agent: Predictive Role of Multiparametric MRI in Rodent Craniofacial Metastasis Models
por: Wang, Shuncong, et al.
Publicado: (2022)

Predicting Clinical Efficacy of Vascular Disrupting Agents in Rodent Models of Primary and Secondary Liver Cancers: An Overview with Imaging-Histopathology Correlation
por: Liu, Yewei, et al.
Publicado: (2020)

Predicting Therapeutic Efficacy of Vascular Disrupting Agent CA4P in Rats with Liver Tumors by Hepatobiliary Contrast Agent Mn-DPDP-Enhanced MRI
por: Liu, Yewei, et al.
Publicado: (2019)

A Review on Curability of Cancers: More Efforts for Novel Therapeutic Options Are Needed
por: Wang, Shuncong, et al.
Publicado: (2019)

Heterogeneity of Synchronous Lung Metastasis Calls for Risk Stratification and Prognostic Classification: Evidence from a Population-Based Database
por: Wang, Shuncong, et al.
Publicado: (2022)

Intra-individual comparison of therapeutic responses to vascular disrupting agent CA4P between rodent primary and secondary liver cancers
por: Liu, Ye-Wei, et al.
Publicado: (2018)

Micro-HCCs in rats with liver cirrhosis: paradoxical targeting effects with vascular disrupting agent CA4P
por: Liu, Yewei, et al.
Publicado: (2017)

Sequential Administrations of a Vascular-Disrupting Agent, High-Intensity Focused Ultrasound, and a Radioactively labeled Necrosis Avid Compound for Eradicating Solid Malignancies
por: Li, Yue, et al.
Publicado: (2022)

Everolimus halts hepatic cystogenesis in a rodent model of polycystic-liver-disease
por: Temmerman, Frederik, et al.
Publicado: (2017)

Exploring Theranostic Potentials of Radioiodinated Hypericin in Rodent Necrosis Models
por: Li, Junjie, et al.
Publicado: (2012)

Enhanced Antitumor Efficacy of a Vascular Disrupting Agent Combined with an Antiangiogenic in a Rat Liver Tumor Model Evaluated by Multiparametric MRI
por: Chen, Feng, et al.
Publicado: (2012)

Extensive upfront validation and testing are needed prior to the clinical implementation of AI‐based auto‐segmentation tools
por: Roper, Justin, et al.
Publicado: (2022)

Hypothesis: What is the Best We Can Do with Hydroxychloroquine for COVID-19?
por: Wang, Shuncong, et al.
Publicado: (2020)

Towards Stratifying Ischemic Components by Cardiac MRI and Multifunctional Stainings in a Rabbit Model of Myocardial Infarction
por: Feng, Yuanbo, et al.
Publicado: (2013)

Utilisation of Chick Embryo Chorioallantoic Membrane as a Model Platform for Imaging-Navigated Biomedical Research
por: Chen, Lei, et al.
Publicado: (2021)

AutoPath: Image-Specific Inference for 3D Segmentation
por: Sun, Dong, et al.
Publicado: (2020)

Automatic Contour Refinement for Deep Learning Auto-segmentation of Complex Organs in MRI-guided Adaptive Radiation Therapy
por: Ding, Jie, et al.
Publicado: (2022)

Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy
por: Savenije, Mark H. F., et al.
Publicado: (2020)

Auto-segmentation for total marrow irradiation
por: Watkins, William Tyler, et al.
Publicado: (2022)

Dynamic 3D morphology of chick embryos and allantois depicted nondestructively by 3.0T clinical magnetic resonance imaging
por: Chen, Lei, et al.
Publicado: (2023)

Vascular disrupting agent in pancreatic and hepatic tumour allografts: observations of location-dependent efficacy by MRI, microangiography and histomorphology
por: Yin, Ting, et al.
Publicado: (2017)

Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study
por: Grøvik, Endre, et al.
Publicado: (2021)

Quantifying intrafractional gastric motion using auto‐segmentation on MRI: Deformation and respiratory‐induced displacement compared
por: Driever, Theo, et al.
Publicado: (2022)

Multi-atlas segmentation of subcortical brain structures via the AutoSeg software pipeline
por: Wang, Jiahui, et al.
Publicado: (2014)

An end‐to‐end AI‐based framework for automated discovery of rapid CEST/MT MRI acquisition protocols and molecular parameter quantification (AutoCEST)
por: Perlman, Or, et al.
Publicado: (2022)

Clinical Application of Artificial Intelligence: Auto-Discerning the Effectiveness of Lidocaine Concentration Levels in Osteosarcoma Femoral Tumor Segment Resection
por: Ni, Shuqin, et al.
Publicado: (2022)

Functional Connectivity fMRI of the Rodent Brain: Comparison of Functional Connectivity Networks in Rat and Mouse
por: Jonckers, Elisabeth, et al.
Publicado: (2011)

Harmonized Segmentation of Neonatal Brain MRI
por: Grigorescu, Irina, et al.
Publicado: (2021)

Quality of reporting in AI cardiac MRI segmentation studies – A systematic review and recommendations for future studies
por: Alabed, Samer, et al.
Publicado: (2022)

ASSET: Auto-Segmentation of the Seventeen SEgments for Ventricular Tachycardia Ablation in Radiation Therapy
por: Morris, Eric, et al.
Publicado: (2023)

Impact of CT reconstruction algorithm on auto‐segmentation performance
por: Miller, Claudia, et al.
Publicado: (2019)

Feasibility of using AI to auto-catch responsible frames in ultrasound screening for breast cancer diagnosis
por: Chen, Jing, et al.
Publicado: (2022)

Auto-Detection of Motion Artifacts on CT Pulmonary Angiograms with a Physician-Trained AI Algorithm
por: Dasegowda, Giridhar, et al.
Publicado: (2023)

Automated machine learning and explainable AI (AutoML-XAI) for metabolomics: improving cancer diagnostics
por: Bifarin, Olatomiwa O., et al.
Publicado: (2023)

SAFARI: shape analysis for AI-segmented images
por: Fernández, Esteban, et al.
Publicado: (2022)

Explainable AI for CNN-based prostate tumor segmentation in multi-parametric MRI correlated to whole mount histopathology
por: Gunashekar, Deepa Darshini, et al.
Publicado: (2022)

Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation
por: Avesta, Arman, et al.
Publicado: (2023)

Visualization, Quantification and Characterization of Caerulein-Induced Acute Pancreatitis in Rats by 3.0T Clinical MRI, Biochemistry and Histomorphology
por: Yin, Ting, et al.
Publicado: (2017)

Clinical Evaluation of an Auto-Segmentation Tool for Spine SBRT Treatment
por: Chen, Yingxuan, et al.
Publicado: (2022)

Monitoring Neuronal Network Disturbances of Brain Diseases: A Preclinical MRI Approach in the Rodent Brain
por: Van der Linden, Annemie, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_3da1tuhcel7o59v2ull9a1mo83