AIMC Journal:
Academic radiology

Showing 171 to 180 of 317 articles

Development and Validation of a Machine Learning-Based Model Using CT Radiomics for Predicting Immune Checkpoint Inhibitor-related Pneumonitis in Patients With NSCLC Receiving Anti-PD1 Immunotherapy: A Multicenter Retrospective CaseControl Study.

Academic radiology Nov 17, 2023
RATIONALE AND OBJECTIVES: This study aimed to develop and evaluate a radiomics-based model combined with clinical and qualitative radiological (semantic feature [SF]) features to predict immune checkpoint inhibitor-related pneumonitis (CIP) in patien...
Humans Pneumonia Machine Learning Male Middle Aged Immune Checkpoint Inhibitors Lung Neoplasms Immunotherapy Carcinoma, Non-Small-Cell Lung Female Aged Radiomics Retrospective Studies Tomography, X-Ray Computed
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Differentiation Between Glioblastoma and Metastatic Disease on Conventional MRI Imaging Using 3D-Convolutional Neural Networks: Model Development and Validation.

Academic radiology Nov 17, 2023
RATIONALE AND OBJECTIVES: Imaging-based differentiation between glioblastoma (GB) and brain metastases (BM) remains challenging. Our aim was to evaluate the performance of 3D-convolutional neural networks (CNN) to address this binary classification p...
Glioblastoma Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Diagnosis, Differential Aged Adult Brain Neoplasms Male Middle Aged Neural Networks, Computer Female Humans Reproducibility of Results Imaging, Three-Dimensional
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Applying Machine Learning Analysis Based on Proximal Femur of Abdominal Computed Tomography to Screen for Abnormal Bone Mass in Femur.

Academic radiology Nov 15, 2023
RATIONALE AND OBJECTIVES: To evaluate the performance of machine learning analysis based on proximal femur of abdominal computed tomography (CT) scans in screening for abnormal bone mass in femur.
Humans Osteoporosis Tomography, X-Ray Computed Female Machine Learning Bone Density Retrospective Studies Femur Radiography, Abdominal Male Middle Aged Absorptiometry, Photon Aged Sensitivity and Specificity
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Automated Segmentation and Classification of Knee Synovitis Based on MRI Using Deep Learning.

Academic radiology Nov 10, 2023
OBJECTIVES: To develop a deep learning (DL) model for segmentation of the suprapatellar capsule (SC) and infrapatellar fat pad (IPFP) based on sagittal proton density-weighted images and to distinguish between three common types of knee synovitis.
Magnetic Resonance Imaging Protons Synovitis Middle Aged Deep Learning Humans Retrospective Studies Adult Male
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A Deep-Learning Model for Predicting the Efficacy of Non-vascularized Fibular Grafting Using Digital Radiography.

Academic radiology Nov 5, 2023
RATIONALE AND OBJECTIVES: To develop a fully automated deep-learning (DL) model using digital radiography (DR) with relatively high accuracy for predicting the efficacy of non-vascularized fibular grafting (NVFG) and identifying suitable patients for...
Treatment Outcome Radiographic Image Enhancement Femur Head Necrosis Humans Retrospective Studies Deep Learning
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Development of MRI-Based Deep Learning Signature for Prediction of Axillary Response After NAC in Breast Cancer.

Academic radiology Oct 31, 2023
RATIONALE AND OBJECTIVES: To develop a MRI-based deep learning signature for predicting axillary response after neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients.
Deep Learning Humans Neoadjuvant Therapy Lymphatic Metastasis Magnetic Resonance Imaging Retrospective Studies Female Area Under Curve Breast Neoplasms
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Development of Pericardial Fat Count Images Using a Combination of Three Different Deep-Learning Models: Image Translation Model From Chest Radiograph Image to Projection Image of Three-Dimensional Computed Tomography.

Academic radiology Oct 30, 2023
RATIONALE AND OBJECTIVES: Pericardial fat (PF)-the thoracic visceral fat surrounding the heart-promotes the development of coronary artery disease by inducing inflammation of the coronary arteries. To evaluate PF, we generated pericardial fat count i...
Image Processing, Computer-Assisted Tomography, X-Ray Computed Deep Learning Imaging, Three-Dimensional Humans
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Unveiling Osteoporosis Through Radiomics Analysis of Hip CT Imaging.

Academic radiology Oct 27, 2023
RATIONALE AND OBJECTIVES: This study aims to investigate the use of radiomics analysis of hip CT imaging to unveil osteoporosis.
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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...
Carcinoma, Hepatocellular Sensitivity and Specificity Contrast Media Radiomics Predictive Value of Tests Humans Neoplasm Recurrence, Local Liver Neoplasms Machine Learning
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Deep Learning-Based Interpretable AI for Prostate T2W MRI Quality Evaluation.

Academic radiology Oct 17, 2023
RATIONALE AND OBJECTIVES: Prostate MRI quality is essential in guiding prostate biopsies. However, assessment of MRI quality is subjective with variation. Quality degradation sources exert varying impacts based on the sequence under consideration, su...
Deep Learning Magnetic Resonance Imaging Prostatic Neoplasms Prostate Retrospective Studies Reproducibility of Results Male Humans
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