AIMC Topic: Radiomics

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Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT.

La Radiologia medica Nov 16, 2023
OBJECTIVES: The study aimed to develop a combined model that integrates deep learning (DL), radiomics, and clinical data to classify lung nodules into benign or malignant categories, and to further classify lung nodules into different pathological su...
Lung Neoplasms Radiomics Lung Deep Learning Humans Tomography, X-Ray Computed
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Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures.

Journal of magnetic resonance imaging : JMRI Nov 13, 2023
BACKGROUND: Studies have shown that deep-learning radiomics (DLR) could help differentiate glioblastoma (GBM) from solitary brain metastasis (SBM), but whether integrating demographic-MRI and DLR features can more accurately distinguish GBM from SBM ...
Glioblastoma Nomograms Magnetic Resonance Imaging Diagnosis, Differential Female Aged Adult Radiomics Brain Neoplasms Male Middle Aged Deep Learning Humans Brain Retrospective Studies
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Editorial for "A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Nov 10, 2023
Humans Machine Learning Female Breast Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Breast Neoplasms Radiomics Magnetic Resonance Imaging Diagnosis, Differential
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Prediction of early hematoma expansion of spontaneous intracerebral hemorrhage based on deep learning radiomics features of noncontrast computed tomography.

European radiology Nov 8, 2023
OBJECTIVES: Aimed to develop a nomogram model based on deep learning features and radiomics features for the prediction of early hematoma expansion.
Humans Deep Learning Aged Retrospective Studies Hematoma Nomograms Tomography, X-Ray Computed Radiomics Cerebral Hemorrhage Female Male Predictive Value of Tests Middle Aged
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A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI.

Journal of magnetic resonance imaging : JMRI Nov 7, 2023
BACKGROUND: Breast MRI has been recommended as supplemental screening tool to mammography and breast ultrasound of breast cancer by international guidelines, but its long examination time and use of contrast material remains concerning.
Aged Adult Breast Neoplasms Radiomics Retrospective Studies Humans Female Area Under Curve Machine Learning Reproducibility of Results Breast Middle Aged Prospective Studies Image Interpretation, Computer-Assisted Contrast Media Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Diagnosis, Differential
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Development of an MRI-Based Comprehensive Model Fusing Clinical, Radiomics and Deep Learning Models for Preoperative Histological Stratification in Intracranial Solitary Fibrous Tumor.

Journal of magnetic resonance imaging : JMRI Oct 28, 2023
BACKGROUND: Accurate preoperative histological stratification (HS) of intracranial solitary fibrous tumors (ISFTs) can help predict patient outcomes and develop personalized treatment plans. However, the role of a comprehensive model based on clinica...
Retrospective Studies Female Aged Young Adult Adult Radiomics Magnetic Resonance Imaging Brain Neoplasms Male Feasibility Studies Humans Preoperative Period Middle Aged Solitary Fibrous Tumors Deep Learning ROC Curve
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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 27, 2023
BACKGROUND: The metastatic vascular patterns of hepatocellular carcinoma (HCC) are mainly microvascular invasion (MVI) and vessels encapsulating tumor clusters (VETC). However, most existing VETC-related radiological studies still focus on the predic...
Neoplasm Recurrence, Local Disease-Free Survival Radiomics China Male Humans Aged Liver Neoplasms Middle Aged Retrospective Studies Aged, 80 and over Carcinoma, Hepatocellular Deep Learning Female Young Adult Magnetic Resonance Imaging Adult
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Enhancing radiomics and Deep Learning systems through the standardization of medical imaging workflows.

Scientific data Oct 21, 2023
Recent advances in computer-aided diagnosis, treatment response and prognosis in radiomics and deep learning challenge radiology with requirements for world-wide methodological standards for labeling, preprocessing and image acquisition protocols. Th...
Radiomics Deep Learning Radiography Diagnostic Imaging Workflow Reference Standards
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Radiomics-based Machine Learning to Predict the Recurrence of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis.

Academic radiology Oct 20, 2023
RATIONALE AND OBJECTIVES: Recurrence of hepatocellular carcinoma (HCC) is a major concern in its management. Accurately predicting the risk of recurrence is crucial for determining appropriate treatment strategies and improving patient outcomes. A ce...
Machine Learning Sensitivity and Specificity Radiomics Carcinoma, Hepatocellular Liver Neoplasms Contrast Media Humans Predictive Value of Tests Neoplasm Recurrence, Local
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Editorial for "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
Magnetic Resonance Imaging Neoplasm Invasiveness Breast Deep Learning Lymphatic Metastasis Contrast Media Humans Female Breast Neoplasms Radiomics
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