AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Application of deep learning in automated localization and interpretation of coronary artery calcification in oncological PET/CT scans.

The international journal of cardiovascular imaging Jan 13, 2025
Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often underreported in cancer patients undergoing non-gated CT or PET/CT scans. Traditional CAC assessment requires gated CT scans, leading to increased radia...
Deep Learning Aged Predictive Value of Tests Male Radiographic Image Interpretation, Computer-Assisted Humans Coronary Angiography Middle Aged Coronary Artery Disease Retrospective Studies Positron Emission Tomography Computed Tomography Neoplasms Automation Female Coronary Vessels Reproducibility of Results Vascular Calcification
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Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment.

Open heart Jan 11, 2025
BACKGROUND: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis im...
Female Reproducibility of Results Aged Male Humans Severity of Illness Index Middle Aged Artificial Intelligence Predictive Value of Tests Algorithms Coronary Angiography Coronary Artery Disease Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Observer Variation Coronary Vessels Computed Tomography Angiography Coronary Stenosis
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End-to-end deep-learning model for the detection of coronary artery stenosis on coronary CT images.

Open heart Jan 11, 2025
PURPOSE: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ...
Deep Learning Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Aged Computed Tomography Angiography Coronary Stenosis Male Middle Aged Severity of Illness Index Humans Retrospective Studies Female Reproducibility of Results
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Deep learning-based image domain reconstruction enhances image quality and pulmonary nodule detection in ultralow-dose CT with adaptive statistical iterative reconstruction-V.

European radiology Jan 10, 2025
OBJECTIVES: To evaluate the image quality and lung nodule detectability of ultralow-dose CT (ULDCT) with adaptive statistical iterative reconstruction-V (ASiR-V) post-processed using a deep learning image reconstruction (DLIR)-based image domain comp...
Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Male Middle Aged Deep Learning Image Processing, Computer-Assisted
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Patch-based feature mapping with generative adversarial networks for auxiliary hip fracture detection.

Computers in biology and medicine Jan 10, 2025
BACKGROUND: Hip fractures are a significant public health issue, particularly among the elderly population. Pelvic radiographs (PXRs) play a crucial role in diagnosing hip fractures and are commonly used for their evaluation. Previous research has de...
Humans Neural Networks, Computer Algorithms Radiographic Image Interpretation, Computer-Assisted Female Hip Fractures Aged Generative Adversarial Networks Male
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Automated classification of coronary LEsions fRom coronary computed Tomography angiography scans with an updated deep learning model: ALERT study.

European radiology Jan 10, 2025
OBJECTIVES: The use of deep learning models for quantitative measurements on coronary computed tomography angiography (CCTA) may reduce inter-reader variability and increase efficiency in clinical reporting. This study aimed to investigate the diagno...
Observer Variation Computed Tomography Angiography Coronary Stenosis Female Humans Middle Aged Reproducibility of Results Retrospective Studies Deep Learning Aged Coronary Angiography Male Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease
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Interpretable CT Radiomics-based Machine Learning Model for Preoperative Prediction of Ki-67 Expression in Clear Cell Renal Cell Carcinoma.

Academic radiology Jan 9, 2025
RATIONALE AND OBJECTIVES: To develop and externally validate interpretable CT radiomics-based machine learning (ML) models for preoperative Ki-67 expression prediction in clear cell renal cell carcinoma (ccRCC).
Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Ki-67 Antigen Adult Radiomics Male Middle Aged
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Traditional versus modern approaches to screening mammography: a comparison of computer-assisted detection for synthetic 2D mammography versus an artificial intelligence algorithm for digital breast tomosynthesis.

Breast cancer research and treatment Jan 9, 2025
PURPOSE: Traditional computer-assisted detection (CADe) algorithms were developed for 2D mammography, while modern artificial intelligence (AI) algorithms can be applied to 2D mammography and/or digital breast tomosynthesis (DBT). The objective is to...
ROC Curve Early Detection of Cancer Mammography Humans Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Algorithms Female Aged Adult Breast Neoplasms Middle Aged Deep Learning
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Automated stenosis estimation of coronary angiographies using end-to-end learning.

The international journal of cardiovascular imaging Jan 9, 2025
The initial evaluation of stenosis during coronary angiography is typically performed by visual assessment. Visual assessment has limited accuracy compared to fractional flow reserve and quantitative coronary angiography, which are more time-consumin...
Coronary Vessels Coronary Stenosis Fractional Flow Reserve, Myocardial Male Retrospective Studies Middle Aged Female Severity of Illness Index Reproducibility of Results Predictive Value of Tests Deep Learning Aged Humans Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Automation
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G-SET-DCL: a guided sequential episodic training with dual contrastive learning approach for colon segmentation.

International journal of computer assisted radiology and surgery Jan 9, 2025
PURPOSE: This article introduces a novel deep learning approach to substantially improve the accuracy of colon segmentation even with limited data annotation, which enhances the overall effectiveness of the CT colonography pipeline in clinical settin...
Algorithms Reproducibility of Results Colon Deep Learning Imaging, Three-Dimensional Humans Radiographic Image Interpretation, Computer-Assisted Colonic Polyps Colonography, Computed Tomographic
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