AIMC Topic: Lung Neoplasms

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Deep Learning Models for Predicting Malignancy Risk in CT-Detected Pulmonary Nodules: A Systematic Review and Meta-analysis.

Lung May 23, 2024
BACKGROUND: There has been growing interest in using artificial intelligence/deep learning (DL) to help diagnose prevalent diseases earlier. In this study we sought to survey the landscape of externally validated DL-based computer-aided diagnostic (C...
Solitary Pulmonary Nodule Predictive Value of Tests Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Humans Tomography, X-Ray Computed Risk Assessment Diagnosis, Computer-Assisted
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Artificial Intelligence and Lung Pathology.

Advances in anatomic pathology May 23, 2024
This manuscript provides a comprehensive overview of the application of artificial intelligence (AI) in lung pathology, particularly in the diagnosis of lung cancer. It discusses various AI models designed to support pathologists and clinicians. AI m...
Artificial Intelligence Lung Lung Neoplasms Pathology, Clinical Humans
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Masked hypergraph learning for weakly supervised histopathology whole slide image classification.

Computer methods and programs in biomedicine May 23, 2024
BACKGROUND AND OBJECTIVES: Graph neural network (GNN) has been extensively used in histopathology whole slide image (WSI) analysis due to the efficiency and flexibility in modelling relationships among entities. However, most existing GNN-based WSI a...
Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Lung Neoplasms Humans Supervised Machine Learning Neural Networks, Computer Algorithms
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Preoperatively predicting survival outcome for clinical stage IA pure-solid non-small cell lung cancer by radiomics-based machine learning.

The Journal of thoracic and cardiovascular surgery May 22, 2024
OBJECTIVE: Clinical stage IA non-small cell lung cancer (NSCLC) showing a pure-solid appearance on computed tomography is associated with a worse prognosis. This study aimed to develop and validate machine-learning models using preoperative clinical ...
Retrospective Studies Tomography, X-Ray Computed Female Risk Factors Aged Radiomics Humans Machine Learning Neoplasm Staging Pneumonectomy Male Lung Neoplasms Middle Aged Carcinoma, Non-Small-Cell Lung Risk Assessment Predictive Value of Tests
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Standalone deep learning versus experts for diagnosis lung cancer on chest computed tomography: a systematic review.

European radiology May 22, 2024
PURPOSE: To compare the diagnostic performance of standalone deep learning (DL) algorithms and human experts in lung cancer detection on chest computed tomography (CT) scans.
Humans Algorithms Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Sensitivity and Specificity Deep Learning Lung Neoplasms
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Pre-operative lung ablation prediction using deep learning.

European radiology May 22, 2024
OBJECTIVE: Microwave lung ablation (MWA) is a minimally invasive and inexpensive alternative cancer treatment for patients who are not candidates for surgery/radiotherapy. However, a major challenge for MWA is its relatively high tumor recurrence rat...
Microwaves Ablation Techniques Retrospective Studies Lung Tomography, X-Ray Computed Deep Learning Female Lung Neoplasms Aged Male Middle Aged Humans
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Machine learning-based integration develops an immunogenic cell death-derived lncRNA signature for predicting prognosis and immunotherapy response in lung adenocarcinoma.

Scientific reports May 22, 2024
Accumulating evidence demonstrates that lncRNAs are involved in the regulation of the immune microenvironment and early tumor development. Immunogenic cell death occurs mainly through the release or increase of tumor-associated antigen and tumor-spec...
Lung Neoplasms Immunotherapy Gene Expression Regulation, Neoplastic Prognosis Tumor Microenvironment Biomarkers, Tumor RNA, Long Noncoding Adenocarcinoma of Lung Immunogenic Cell Death Humans Machine Learning
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A novel machine learning model for efficacy prediction of immunotherapy-chemotherapy in NSCLC based on CT radiomics.

Computers in biology and medicine May 21, 2024
Lung cancer is categorized into two main types: non-small cell lung cancer (NSCLC) and small cell lung cancer. Of these, NSCLC accounts for approximately 85% of all cases and encompasses varieties such as squamous cell carcinoma and adenocarcinoma. F...
Carcinoma, Non-Small-Cell Lung Radiomics Lung Neoplasms Male Humans Immunotherapy Middle Aged Tomography, X-Ray Computed Machine Learning Support Vector Machine Female Retrospective Studies Aged
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A machine learning-based approach to predict energy layer for each field in spot-scanning proton arc therapy for lung cancer: A feasibility study.

Medical physics May 21, 2024
BACKGROUND: Determining the optimal energy layer (EL) for each field, under considering both dose constraints and delivery efficiency, is crucial to promoting the development of proton arc therapy (PAT) technology.
Humans Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Proton Therapy Machine Learning Lung Neoplasms Feasibility Studies
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Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 20, 2024
Lung cancer screening (LCS) using annual computed tomography (CT) scanning significantly reduces mortality by detecting cancerous lung nodules at an earlier stage. Deep learning algorithms can improve nodule malignancy risk stratification. However, t...
Tomography, X-Ray Computed Diagnosis, Computer-Assisted Deep Learning Humans Lung Neoplasms Algorithms Early Detection of Cancer Radiographic Image Interpretation, Computer-Assisted
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