AIMC Topic: Tomography, X-Ray Computed

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Deep learning in computed tomography to predict endotype in chronic rhinosinusitis with nasal polyps.

BMC medical imaging Jan 24, 2024
BACKGROUND: As treatment strategies differ according to endotype, rhinologists must accurately determine the endotype in patients affected by chronic rhinosinusitis with nasal polyps (CRSwNP) for the appropriate management. In this study, we aim to c...
Nasal Polyps Rhinosinusitis Retrospective Studies Tomography, X-Ray Computed Male Female Humans Middle Aged Deep Learning
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COPD: artificial intelligence detects and quantifies anomalies on chest CT enabling prediction of disease severity.

European radiology Jan 23, 2024
Pulmonary Disease, Chronic Obstructive Severity of Illness Index Radiography, Thoracic Humans Artificial Intelligence Tomography, X-Ray Computed
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Gross failure rates and failure modes for a commercial AI-based auto-segmentation algorithm in head and neck cancer patients.

Journal of applied clinical medical physics Jan 23, 2024
PURPOSE: Artificial intelligence (AI) based commercial software can be used to automatically delineate organs at risk (OAR), with potential for efficiency savings in the radiotherapy treatment planning pathway, and reduction of inter- and intra-obser...
Artificial Intelligence Software Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Radiotherapy, Intensity-Modulated Head and Neck Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Improving image quality of triple-low-protocol renal artery CT angiography with deep-learning image reconstruction: a comparative study with standard-dose single-energy and dual-energy CT with adaptive statistical iterative reconstruction.

Clinical radiology Jan 23, 2024
AIM: To investigate the improvement in image quality of triple-low-protocol (low radiation, low contrast medium dose, low injection speed) renal artery computed tomography (CT) angiography (RACTA) using deep-learning image reconstruction (DLIR), in c...
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Angiography Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Computed Tomography Angiography Algorithms Renal Artery
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Deep Learning-Based Detection and Classification of Bone Lesions on Staging Computed Tomography in Prostate Cancer: A Development Study.

Academic radiology Jan 22, 2024
RATIONALE AND OBJECTIVES: Efficiently detecting and characterizing metastatic bone lesions on staging CT is crucial for prostate cancer (PCa) care. However, it demands significant expert time and additional imaging such as PET/CT. We aimed to develop...
Prostatic Neoplasms Neoplasm Staging Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Humans Aged Retrospective Studies Male Middle Aged Deep Learning Bone Neoplasms
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Hematoma expansion prediction: still navigating the intersection of deep learning and radiomics.

European radiology Jan 22, 2024
Humans Tomography, X-Ray Computed Hematoma Radiomics Deep Learning Magnetic Resonance Imaging
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Evaluation of a deep image-to-image network (DI2IN) auto-segmentation algorithm across a network of cancer centers.

Journal of cancer research and therapeutics Jan 22, 2024
PURPOSE/OBJECTIVE S: Due to manual OAR contouring challenges, various automatic contouring solutions have been introduced. Historically, common clinical auto-segmentation algorithms used were atlas-based, which required maintaining a library of self-...
Image Processing, Computer-Assisted Tomography, X-Ray Computed Humans Organs at Risk Neoplasms Algorithms Deep Learning Prospective Studies Radiotherapy Planning, Computer-Assisted Cancer Care Facilities
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Enhancing foveal avascular zone analysis for Alzheimer's diagnosis with AI segmentation and machine learning using multiple radiomic features.

Scientific reports Jan 22, 2024
We propose a hybrid technique that employs artificial intelligence (AI)-based segmentation and machine learning classification using multiple features extracted from the foveal avascular zone (FAZ)-a retinal biomarker for Alzheimer's disease-to impro...
Alzheimer Disease Biomarkers Tomography, X-Ray Computed Radiomics Humans Artificial Intelligence Machine Learning
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Application of radiomics model based on lumbar computed tomography in diagnosis of elderly osteoporosis.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Jan 21, 2024
A metabolic bone disease characterized by decreased bone formation and increased bone resorption is osteoporosis. It can cause pain and fracture of patients. The elderly are prone to osteoporosis and are more vulnerable to osteoporosis. In this study...
Humans Osteoporosis Middle Aged Support Vector Machine Lumbar Vertebrae Tomography, X-Ray Computed Aged, 80 and over Female Radiomics Aged Male
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Deep learning-based multimodal segmentation of oropharyngeal squamous cell carcinoma on CT and MRI using self-configuring nnU-Net.

European radiology Jan 20, 2024
PURPOSE: To evaluate deep learning-based segmentation models for oropharyngeal squamous cell carcinoma (OPSCC) using CT and MRI with nnU-Net.
Aged Adult Male Female Carcinoma, Squamous Cell Reproducibility of Results Multimodal Imaging Image Interpretation, Computer-Assisted Oropharyngeal Neoplasms Middle Aged Deep Learning Magnetic Resonance Imaging Humans Retrospective Studies Tomography, X-Ray Computed
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