AIMC Topic: Multiple Pulmonary Nodules

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A Novel Deep Learning-Based (3D U-Net Model) Automated Pulmonary Nodule Detection Tool for CT Imaging.

Current oncology (Toronto, Ont.) Feb 8, 2025
BACKGROUND: Precise detection and characterization of pulmonary nodules on computed tomography (CT) is crucial for early diagnosis and management.
Humans Algorithms Tomography, X-Ray Computed Female Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule
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Cross-ViT based benign and malignant classification of pulmonary nodules.

PloS one Feb 5, 2025
The benign and malignant discrimination of pulmonary nodules plays a very important role in diagnosing the extent of lung cancer lesions. There are many methods using Convolutional neural network (CNN) for benign and malignant classification of pulmo...
Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Humans Neural Networks, Computer Algorithms
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Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis.

Journal of medical Internet research Jan 27, 2025
BACKGROUND: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accura...
Multiple Pulmonary Nodules Artificial Intelligence Retrospective Studies Humans Tomography, X-Ray Computed Female Aged Male Middle Aged Lung Neoplasms
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Deep-learning based electromagnetic navigation system for transthoracic percutaneous puncture of small pulmonary nodules.

Scientific reports Jan 20, 2025
Percutaneous transthoracic puncture of small pulmonary nodules is technically challenging. We developed a novel electromagnetic navigation puncture system for the puncture of sub-centimeter lung nodules by combining multiple deep learning models with...
Solitary Pulmonary Nodule Punctures Electromagnetic Phenomena Phantoms, Imaging Male Deep Learning Humans Lung Neoplasms Tomography, X-Ray Computed Multiple Pulmonary Nodules Animals
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Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis.

BMC medical imaging Jan 17, 2025
OBJECTIVE: In clinical practice, diagnosing the benignity and malignancy of solid-component-predominant pulmonary nodules is challenging, especially when 3D consolidation-to-tumor ratio (CTR) ≥ 50%, as malignant ones are more invasive. This study aim...
Male Middle Aged ROC Curve Lung Neoplasms Female Aged Adult Radiomics Logistic Models Multiple Pulmonary Nodules Solitary Pulmonary Nodule Diagnosis, Differential Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed
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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...
Radiographic Image Interpretation, Computer-Assisted Aged Image Processing, Computer-Assisted Humans Radiation Dosage Lung Neoplasms Retrospective Studies Male Multiple Pulmonary Nodules Tomography, X-Ray Computed Middle Aged Solitary Pulmonary Nodule Deep Learning Female
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Malignancy risk stratification for pulmonary nodules: comparing a deep learning approach to multiparametric statistical models in different disease groups.

European radiology Jan 2, 2025
OBJECTIVES: Incidentally detected pulmonary nodules present a challenge in clinical routine with demand for reliable support systems for risk classification. We aimed to evaluate the performance of the lung-cancer-prediction-convolutional-neural-netw...
Tomography, X-Ray Computed Female Aged Adult Humans Retrospective Studies Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Models, Statistical Radiographic Image Interpretation, Computer-Assisted Male Middle Aged Risk Assessment Deep Learning
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Dual biomarkers CT-based deep learning model incorporating intrathoracic fat for discriminating benign and malignant pulmonary nodules in multi-center cohorts.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Dec 16, 2024
BACKGROUND: Recent studies in the field of lung cancer have emphasized the important role of body composition, particularly fatty tissue, as a prognostic factor. However, there is still a lack of practice in combining fatty tissue to discriminate ben...
Diagnosis, Differential Tomography, X-Ray Computed Female Thorax Aged Image Processing, Computer-Assisted Male Humans Adult Lung Neoplasms Middle Aged Biomarkers Multiple Pulmonary Nodules Deep Learning Adipose Tissue Cohort Studies
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Feasibility of Sub-milliSievert Low-dose Computed Tomography with Deep Learning Image Reconstruction in Evaluating Pulmonary Subsolid Nodules: A Prospective Intra-individual Comparison Study.

Academic radiology Dec 13, 2024
RATIONALE AND OBJECTIVES: To comprehensively assess the feasibility of low-dose computed tomography (LDCT) using deep learning image reconstruction (DLIR) for evaluating pulmonary subsolid nodules, which are challenging due to their susceptibility to...
Male Middle Aged Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Radiation Dosage Tomography, X-Ray Computed Female Aged Adult Signal-To-Noise Ratio Humans Prospective Studies
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External validation of the performance of commercially available deep-learning-based lung nodule detection on low-dose CT images for lung cancer screening in Japan.

Japanese journal of radiology Nov 30, 2024
PURPOSE: Artificial intelligence (AI) algorithms for lung nodule detection have been developed to assist radiologists. However, external validation of its performance on low-dose CT (LDCT) images is insufficient. We examined the performance of the co...
Middle Aged Japan Aged Lung Radiation Dosage Multiple Pulmonary Nodules Aged, 80 and over Humans Deep Learning Sensitivity and Specificity Solitary Pulmonary Nodule Retrospective Studies Lung Neoplasms Early Detection of Cancer Male Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Female
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