AIMC Topic: Lung Neoplasms

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Improved prognostication of overall survival after radiotherapy in lung cancer patients by an interpretable machine learning model integrating lung and tumor radiomics and clinical parameters.

La Radiologia medica Nov 14, 2024
BACKGROUND: Accurate prognostication of overall survival (OS) for non-small cell lung cancer (NSCLC) patients receiving definitive radiotherapy (RT) is crucial for developing personalized treatment strategies. This study aims to construct an interpre...
Humans Machine Learning Prognosis Retrospective Studies Lung Neoplasms Radiomics Male Tomography, X-Ray Computed Carcinoma, Non-Small-Cell Lung Middle Aged Female Neoplasm Staging Aged
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Lymph Node Metastasis Prediction From In Situ Lung Squamous Cell Carcinoma Histopathology Images Using Deep Learning.

Laboratory investigation; a journal of technical methods and pathology Nov 13, 2024
Lung squamous cell carcinoma (LUSC), a subtype of non-small cell lung cancer, represents a significant portion of lung cancer cases with distinct histologic patterns impacting prognosis and treatment. The current pathological assessment methods face ...
Lymph Nodes Carcinoma, Non-Small-Cell Lung Lymphatic Metastasis Middle Aged Deep Learning Lung Neoplasms Carcinoma, Squamous Cell Male Humans Prognosis Female
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Transformer-based deep learning model for the diagnosis of suspected lung cancer in primary care based on electronic health record data.

EBioMedicine Nov 13, 2024
BACKGROUND: Due to its late stage of diagnosis lung cancer is the commonest cause of death from cancer in the UK. Existing epidemiological risk models in clinical usage, which have Positive Predictive Values (PPV) of less than 10%, do not consider th...
Case-Control Studies Deep Learning ROC Curve Aged Male Middle Aged Primary Health Care Lung Neoplasms Early Detection of Cancer Humans Electronic Health Records Female
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A novel benign and malignant classification model for lung nodules based on multi-scale interleaved fusion integrated network.

Scientific reports Nov 11, 2024
One of the precursors of lung cancer is the presence of lung nodules, and accurate identification of their benign or malignant nature is important for the long-term survival of patients. With the development of artificial intelligence, deep learning ...
Humans Neural Networks, Computer Algorithms Deep Learning Lung Neoplasms Solitary Pulmonary Nodule
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Predictive analytics of complex healthcare systems using deep learning based disease diagnosis model.

Scientific reports Nov 11, 2024
Cancer is a life-threatening disease resulting from a genetic disorder and a range of metabolic anomalies. In particular, lung and colon cancer (LCC) are among the major causes of death and disease in humans. The histopathological diagnoses are criti...
Delivery of Health Care Diagnosis, Computer-Assisted Lung Neoplasms Deep Learning Colonic Neoplasms Humans Neural Networks, Computer Algorithms
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Imaging error reduction in radial cine-MRI with deep learning-based intra-frame motion compensation.

Physics in medicine and biology Nov 11, 2024
Radial cine-MRI allows for sliding window reconstruction at nearly arbitrary frame rate, promising high-speed imaging for intra-fractional motion monitoring in magnetic resonance guided radiotherapy. However, motion within the reconstruction window m...
Phantoms, Imaging Humans Movement Deep Learning Magnetic Resonance Imaging, Cine Image Processing, Computer-Assisted Lung Neoplasms
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Integrating radiomic and 3D autoencoder-based features for Non-Small Cell Lung Cancer survival analysis.

Computer methods and programs in biomedicine Nov 8, 2024
BACKGROUND AND OBJECTIVES: The aim of this study is to develop a radiomic and deep learning-based signature for survival analysis of patients with Non-Small Cell Lung Cancer.
Survival Analysis Proportional Hazards Models Imaging, Three-Dimensional Lung Neoplasms Aged Middle Aged Carcinoma, Non-Small-Cell Lung Radiomics Deep Learning Humans Male Female
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Mitigating Diagnostic Errors in Lung Cancer Classification: A Multi-Eyes Principle to Uncertainty Quantification.

IEEE journal of biomedical and health informatics Nov 6, 2024
In radiology, particularly in lung cancer diagnosis, diagnostic errors and cognitive biases pose substantial challenges. These issues, including perceptual errors, interpretive mistakes, and cognitive biases such as anchoring and premature closure, a...
Lung Neoplasms Monte Carlo Method Uncertainty Humans Diagnostic Errors Deep Learning
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Association of artificial intelligence-based immunoscore with the efficacy of chemoimmunotherapy in patients with advanced non-squamous non-small cell lung cancer: a multicentre retrospective study.

Frontiers in immunology Nov 6, 2024
PURPOSE: Currently, chemoimmunotherapy is effective only in a subset of patients with advanced non-squamous non-small cell lung cancer. Robust biomarkers for predicting the efficacy of chemoimmunotherapy would be useful to identify patients who would...
Treatment Outcome Carcinoma, Non-Small-Cell Lung Lung Neoplasms Biomarkers, Tumor Immunotherapy Retrospective Studies Humans Antineoplastic Combined Chemotherapy Protocols Male Female Artificial Intelligence Middle Aged Aged
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Non-small cell lung cancer detection through knowledge distillation approach with teaching assistant.

PloS one Nov 6, 2024
Non-small cell lung cancer (NSCLC) exhibits a comparatively slower rate of metastasis in contrast to small cell lung cancer, contributing to approximately 85% of the global patient population. In this work, leveraging CT scan images, we deploy a know...
Tomography, X-Ray Computed Deep Learning Lung Neoplasms Humans Carcinoma, Non-Small-Cell Lung
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