AIMC Topic: Radiomics

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Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytoma: A Deep Learning-Based Radiomics Model Using MRI.

Journal of magnetic resonance imaging : JMRI Aug 9, 2023
BACKGROUND: Cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B) homozygous deletion has been verified as an independent and critical biomarker of negative prognosis and short survival in isocitrate dehydrogenase (IDH)-mutant astrocytoma. Therefore, non...
Magnetic Resonance Imaging Cyclin-Dependent Kinase Inhibitor p16 Isocitrate Dehydrogenase Sequence Deletion Homozygote Astrocytoma Retrospective Studies Radiomics Deep Learning Humans
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Editorial for "The Effect of Image Resampling on the Performance of Radiomics-Based Artificial Intelligence in Multicenter Prostate MRI".

Journal of magnetic resonance imaging : JMRI Aug 3, 2023
Prostate Artificial Intelligence Radiomics Male Humans
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A CT-based Deep Learning Radiomics Nomogram for the Prediction of EGFR Mutation Status in Head and Neck Squamous Cell Carcinoma.

Academic radiology Jul 21, 2023
RATIONALE AND OBJECTIVES: Accurately assessing epidermal growth factor receptor (EGFR) mutation status in head and neck squamous cell carcinoma (HNSCC) patients is crucial for prognosis and treatment selection. This study aimed to construct and valid...
Humans Deep Learning Nomograms Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Retrospective Studies Tomography, X-Ray Computed Radiomics Mutation ErbB Receptors
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CT Angiography Radiomics Combining Traditional Risk Factors to Predict Brain Arteriovenous Malformation Rupture: a Machine Learning, Multicenter Study.

Translational stroke research Jun 13, 2023
This study aimed to develop a machine learning model for predicting brain arteriovenous malformation (bAVM) rupture using a combination of traditional risk factors and radiomics features. This multicenter retrospective study enrolled 586 patients wit...
Cerebral Angiography Intracranial Arteriovenous Malformations Male Middle Aged Computed Tomography Angiography Aged Adult Radiomics Humans Female Risk Factors Machine Learning Retrospective Studies
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Editorial for "Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytoma: A Deep Learning-Based Radiomics Model Using MRI".

Journal of magnetic resonance imaging : JMRI Jun 12, 2023
Homozygote Astrocytoma Sequence Deletion Cyclin-Dependent Kinase Inhibitor p16 Mutation Isocitrate Dehydrogenase Humans Deep Learning Magnetic Resonance Imaging Radiomics Brain Neoplasms
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Prenatal Diagnosis of Placenta Accreta Spectrum Disorders: Deep Learning Radiomics of Pelvic MRI.

Journal of magnetic resonance imaging : JMRI May 24, 2023
BACKGROUND: Diagnostic performance of placenta accreta spectrum (PAS) by prenatal MRI is unsatisfactory. Deep learning radiomics (DLR) has the potential to quantify the MRI features of PAS.
Humans Retrospective Studies Placenta Accreta Placenta Diseases Pregnancy Female Adult Radiomics Magnetic Resonance Imaging Deep Learning Prenatal Diagnosis
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Investigation of radiomics and deep convolutional neural networks approaches for glioma grading.

Biomedical physics & engineering express Mar 23, 2023
To determine glioma grading by applying radiomic analysis or deep convolutional neural networks (DCNN) and to benchmark both approaches on broader validation sets.Seven public datasets were considered: (1) low-grade glioma or high-grade glioma (369 p...
Radiomics Deep Learning Glioma Neoplasm Grading Datasets as Topic Humans
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Radiomic-based machine learning model for the accurate prediction of prostate cancer risk stratification.

The British journal of radiology Jan 4, 2023
OBJECTIVES: To precisely predict prostate cancer (PCa) risk stratification, we constructed a machine learning (ML) model based on magnetic resonance imaging (MRI) radiomic features.
Magnetic Resonance Imaging Prostatic Neoplasms Male Machine Learning Humans Risk Assessment Retrospective Studies Aged Artificial Intelligence Logistic Models Radiomics
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Predicting glioblastoma molecular subtypes and prognosis with a multimodal model integrating convolutional neural network, radiomics, and semantics.

Journal of neurosurgery Dec 2, 2022
OBJECTIVE: The aim of this study was to build a convolutional neural network (CNN)-based prediction model of glioblastoma (GBM) molecular subtype diagnosis and prognosis with multimodal features.
Radiomics Female Brain Neoplasms Tumor Suppressor Proteins X-linked Nuclear Protein Male Aged Magnetic Resonance Imaging Semantics Adult Mutation Middle Aged Glioblastoma Isocitrate Dehydrogenase Humans DNA Modification Methylases Deep Learning DNA Repair Enzymes Neural Networks, Computer Prognosis
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[Enhancement of radiomics-based machine learning models for predicting efficacy of high-intensity focused ultrasound ablation of uterine fibroids using undersampling methods].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jan 20, 2026
OBJECTIVES: To improve the accuracy of machine learning models for preoperative prediction of high-intensity focused ultrasound (HIFU) ablation efficacy for uterine fibroids by correcting class imbalance in small sample datasets using undersampling m...
Humans Machine Learning Algorithms Magnetic Resonance Imaging Uterine Neoplasms Leiomyoma High-Intensity Focused Ultrasound Ablation Female Radiomics Treatment Outcome
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