AIMC Topic: Radiomics

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Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Oct 19, 2023
BACKGROUND: Assessment of lymphovascular invasion (LVI) in breast cancer (BC) primarily relies on preoperative needle biopsy. There is an urgent need to develop a non-invasive assessment method.
Magnetic Resonance Imaging Retrospective Studies Neoplasm Invasiveness Female Aged Breast ROC Curve Humans Lymphatic Metastasis Cross-Sectional Studies Contrast Media Adult Deep Learning Middle Aged Breast Neoplasms Cohort Studies Radiomics
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Multiparametric MRI-based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques.

European radiology Oct 18, 2023
OBJECTIVES: To develop and validate a multiparametric MRI-based radiomics model with optimal oversampling and machine learning techniques for predicting human papillomavirus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC).
Humans Machine Learning Retrospective Studies Radiomics Male Female Aged Papillomaviridae Oropharyngeal Neoplasms Multiparametric Magnetic Resonance Imaging Middle Aged Human Papillomavirus Viruses Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck
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Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics: Strategies for Reducing Inter-Observer Variability.

Journal of magnetic resonance imaging : JMRI Oct 17, 2023
BACKGROUND: Accurate breast density evaluation allows for more precise risk estimation but suffers from high inter-observer variability.
Breast Feasibility Studies Image Interpretation, Computer-Assisted Observer Variation Humans Breast Density ROC Curve Retrospective Studies Image Processing, Computer-Assisted Radiomics Female Magnetic Resonance Imaging Adult Reproducibility of Results Middle Aged Breast Neoplasms Aged Deep Learning
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A Deep Learning-Based Radiomic Classifier for Usual Interstitial Pneumonia.

Chest Oct 14, 2023
BACKGROUND: Because chest CT scan has largely supplanted surgical lung biopsy for diagnosing most cases of interstitial lung disease (ILD), tools to standardize CT scan interpretation are urgently needed.
Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Radiomics Lung Deep Learning Humans Retrospective Studies
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Editorial for "Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma".

Journal of magnetic resonance imaging : JMRI Oct 11, 2023
Humans Carcinoma, Hepatocellular Image Processing, Computer-Assisted Magnetic Resonance Imaging Liver Radiomics Deep Learning Liver Neoplasms Neoplasm Recurrence, Local Disease-Free Survival
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Editorial for "Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics: Strategies for Reducing Inter-Observer Variability".

Journal of magnetic resonance imaging : JMRI Oct 11, 2023
Radiomics Deep Learning Female Image Processing, Computer-Assisted Observer Variation Magnetic Resonance Imaging Reproducibility of Results Breast Density Breast Breast Neoplasms Humans
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Development and Validation of a Deep Learning Radiomics Model to Predict High-Risk Pathologic Pulmonary Nodules Using Preoperative Computed Tomography.

Academic radiology Oct 5, 2023
RATIONALE AND OBJECTIVES: To accurately identify the high-risk pathological factors of pulmonary nodules, our study constructed a model combined with clinical features, radiomics features, and deep transfer learning features to predict high-risk path...
Radiomics Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Humans Retrospective Studies Tomography, X-Ray Computed Adenocarcinoma of Lung
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Radiomics-based machine learning and deep learning to predict serosal involvement in gallbladder cancer.

Abdominal radiology (New York) Oct 3, 2023
OBJECTIVE: Our study aimed to determine whether radiomics models based on contrast-enhanced computed tomography (CECT) have considerable ability to predict serosal involvement in gallbladder cancer (GBC) patients.
Retrospective Studies Radiomics Deep Learning Gallbladder Neoplasms Humans Machine Learning
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Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis.

Academic radiology Sep 27, 2023
RATIONALE AND OBJECTIVES: This study aimed to develop and validate a deep learning and radiomics combined model for differentiating complicated from uncomplicated acute appendicitis (AA).
Acute Disease Radiomics Humans Appendicitis Deep Learning Area Under Curve Retrospective Studies Adult
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Imaging biomarkers and radiomics in pediatric oncology: a view from the PRIMAGE (PRedictive In silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers) project.

Pediatric radiology Sep 25, 2023
This review paper presents the practical development of imaging biomarkers in the scope of the PRIMAGE (PRedictive In silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers) project, as a n...
Neoplasms Child Humans Prognosis Artificial Intelligence Radiomics Biomarkers
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