AIMC Topic: Multiple Pulmonary Nodules

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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...
Tomography, X-Ray Computed Female Aged Male Middle Aged Lung Neoplasms Multiple Pulmonary Nodules Humans Artificial Intelligence Retrospective Studies
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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...
Multiple Pulmonary Nodules Solitary Pulmonary Nodule Punctures Electromagnetic Phenomena Phantoms, Imaging Animals Male Deep Learning Lung Neoplasms Humans Tomography, X-Ray Computed
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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...
Female Aged Adult Radiomics Male Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Multiple Pulmonary Nodules Middle Aged Solitary Pulmonary Nodule ROC Curve Diagnosis, Differential Lung Neoplasms Logistic Models
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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...
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Female Aged Male Humans Retrospective Studies Middle Aged Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Multiple Pulmonary Nodules
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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...
Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Humans 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...
Humans Biomarkers Tomography, X-Ray Computed Female Aged Adult Male Lung Neoplasms Middle Aged Multiple Pulmonary Nodules Deep Learning Adipose Tissue Cohort Studies Diagnosis, Differential Image Processing, Computer-Assisted Thorax
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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...
Radiation Dosage Signal-To-Noise Ratio Lung Neoplasms Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Humans Prospective Studies Tomography, X-Ray Computed Female Aged Adult Male Middle Aged Deep Learning
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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...
Lung Humans Solitary Pulmonary Nodule Aged Retrospective Studies Early Detection of Cancer Deep Learning Tomography, X-Ray Computed Aged, 80 and over Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms Female Sensitivity and Specificity Japan Multiple Pulmonary Nodules Male Radiation Dosage Middle Aged
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Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning.

Journal of translational medicine Nov 28, 2024
BACKGROUND: The aim of this study was to explore the microbial variations and biomarkers in the oral environment of patients with persistent pulmonary nodules (pPNs) and to reveal the potential biological functions of the salivary microbiota in pPNs.
Adult Male Middle Aged Case-Control Studies RNA, Ribosomal, 16S Humans Machine Learning Biomarkers Female Multiple Pulmonary Nodules Saliva Microbiota
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A Predictive Model Integrating AI Recognition Technology and Biomarkers for Lung Nodule Assessment.

The Thoracic and cardiovascular surgeon Nov 26, 2024
BACKGROUND:  Lung cancer is the most prevalent and lethal cancer globally, necessitating accurate differentiation between benign and malignant pulmonary nodules to guide treatment decisions. This study aims to develop a predictive model that integrat...
Neoplasm Invasiveness Predictive Value of Tests Artificial Intelligence Decision Support Techniques Male Reproducibility of Results Retrospective Studies Middle Aged Risk Factors Humans Tomography, X-Ray Computed Lung Neoplasms Aged Female Multiple Pulmonary Nodules Biomarkers, Tumor Solitary Pulmonary Nodule
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