AIMC Topic: Neuroblastoma

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A narrative review of radiomics and deep learning advances in neuroblastoma: updates and challenges.

Pediatric radiology Nov 10, 2023
Neuroblastoma is an extremely heterogeneous tumor that commonly occurs in children. The diagnosis and treatment of this tumor pose considerable challenges due to its varied clinical presentations and intricate genetic aberrations. Presently, various ...
Humans Magnetic Resonance Imaging Positron-Emission Tomography Neuroblastoma Deep Learning Child Tomography, X-Ray Computed
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Prediction of MYCN Gene Amplification in Pediatric Neuroblastomas: Development of a Deep Learning-Based Tool for Automatic Tumor Segmentation and Comparative Analysis of Computed Tomography-Based Radiomics Features Harmonization.

Journal of computer assisted tomography May 26, 2023
OBJECTIVE: MYCN oncogene amplification is closely linked to high-grade neuroblastoma with poor prognosis. Accurate quantification is essential for risk assessment, which guides clinical decision making and disease management. This study proposes an e...
Neuroblastoma Tomography, X-Ray Computed N-Myc Proto-Oncogene Protein Humans Child Deep Learning Gene Amplification
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Successful all robotic-assisted excision of highly malignant mediastinal neuroblastoma in a toddler: A case report.

Asian journal of endoscopic surgery Mar 7, 2023
An otherwise well 28-month-old girl presented with fever/left thigh pain. Computed tomography identified a 7 cm right posterior mediastinal tumor extending to the paravertebral and intercostal spaces with multiple bone and bone marrow metastases on b...
Humans Female Neuroblastoma Mediastinal Neoplasms Robotics Robotic Surgical Procedures Thoracoscopy Child, Preschool Child
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Differentiating a pachychoroid and healthy choroid using an unsupervised machine learning approach.

Scientific reports Sep 29, 2022
The purpose of this study was to introduce a new machine learning approach for differentiation of a pachychoroid from a healthy choroid based on enhanced depth-optical coherence tomography (EDI-OCT) imaging. This study included EDI-OCT images of 103 ...
Reproducibility of Results Unsupervised Machine Learning Choroid Humans Neuroblastoma Acrylic Resins Hydrazines
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A Heterogeneous Ensemble Learning Method For Neuroblastoma Survival Prediction.

IEEE journal of biomedical and health informatics Apr 14, 2022
Neuroblastoma is a pediatric cancer with high morbidity and mortality. Accurate survival prediction of patients with neuroblastoma plays an important role in the formulation of treatment plans. In this study, we proposed a heterogeneous ensemble lear...
Neuroblastoma Humans Child Support Vector Machine Machine Learning
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Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma.

Journal of digital imaging Mar 2, 2022
Neuroblastoma is one of the most common pediatric cancers. This study used machine learning (ML) to predict the mortality and a few other investigated intermediate outcomes of neuroblastoma patients non-invasively from CT images. Performances of mult...
Neuroblastoma Retrospective Studies Child ROC Curve Machine Learning Algorithms Humans
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Methodological advances in the discovery of novel neuroblastoma therapeutics.

Expert opinion on drug discovery Nov 22, 2021
INTRODUCTION: Neuroblastoma is a cancer of the sympathetic nervous system that causes up to 15% of cancer-related deaths among children. Among the ~1,000 newly diagnosed cases per year in Europe, more than half are classified as high-risk, with a 5-y...
Immunotherapy Combined Modality Therapy Neuroblastoma Molecular Targeted Therapy Humans Artificial Intelligence Child
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Differentiating Benign from Malignant Renal Tumors Using T2- and Diffusion-Weighted Images: A Comparison of Deep Learning and Radiomics Models Versus Assessment from Radiologists.

Journal of magnetic resonance imaging : JMRI Aug 30, 2021
BACKGROUND: Differentiating benign from malignant renal tumors is important for selection of the most effective treatment.
Male Deep Learning Radiologists Neuroblastoma Humans Magnetic Resonance Imaging Kidney Neoplasms Retrospective Studies Diffusion Magnetic Resonance Imaging Female
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PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers.

European radiology experimental Apr 3, 2020
PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial intelligence and cancer treatment in children. It is a 4-year European Commission-financed project that has 16 European partners in the consor...
Female Brain Neoplasms Neuroblastoma Male Cloud Computing Humans Biomarkers Disease Progression Glioma Prognosis Decision Support Techniques Artificial Intelligence Child Europe Phenotype Tumor Burden
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A deep neural network approach to predicting clinical outcomes of neuroblastoma patients.

BMC medical genomics Dec 20, 2019
BACKGROUND: The availability of high-throughput omics datasets from large patient cohorts has allowed the development of methods that aim at predicting patient clinical outcomes, such as survival and disease recurrence. Such methods are also importan...
Neuroblastoma Gene Expression Profiling Humans Deep Learning Prognosis Computational Biology
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