AIMC Topic: Carcinoma, Non-Small-Cell Lung

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PET radiomics-based lymphovascular invasion prediction in lung cancer using multiple segmentation and multi-machine learning algorithms.

Physical and engineering sciences in medicine Sep 3, 2024
The current study aimed to predict lymphovascular invasion (LVI) using multiple machine learning algorithms and multi-segmentation positron emission tomography (PET) radiomics in non-small cell lung cancer (NSCLC) patients, offering new avenues for p...
Female Aged Adult Radiomics Humans Machine Learning Lung Neoplasms Algorithms Carcinoma, Non-Small-Cell Lung Neoplasm Invasiveness Positron-Emission Tomography Male Middle Aged ROC Curve Image Processing, Computer-Assisted
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Deep learning-assisted interactive contouring of lung cancer: Impact on contouring time and consistency.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 3, 2024
BACKGROUND AND PURPOSE: To evaluate the impact of a deep learning (DL)-assisted interactive contouring tool on inter-observer variability and the time taken to complete tumour contouring.
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography Radiotherapy Planning, Computer-Assisted Humans Deep Learning Time Factors Tumor Burden Observer Variation
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Non-invasive multimodal CT deep learning biomarker to predict pathological complete response of non-small cell lung cancer following neoadjuvant immunochemotherapy: a multicenter study.

Journal for immunotherapy of cancer Sep 3, 2024
OBJECTIVES: Although neoadjuvant immunochemotherapy has been widely applied in non-small cell lung cancer (NSCLC), predicting treatment response remains a challenge. We used pretreatment multimodal CT to explore deep learning-based immunochemotherapy...
Male Middle Aged Deep Learning Lung Neoplasms Immunotherapy Humans Retrospective Studies Neoadjuvant Therapy Carcinoma, Non-Small-Cell Lung Tomography, X-Ray Computed Multimodal Imaging Female Aged
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Artificial Intelligence Recognition Model Using Liquid-Based Cytology Images to Discriminate Malignancy and Histological Types of Non-Small-Cell Lung Cancer.

Pathobiology : journal of immunopathology, molecular and cellular biology Aug 28, 2024
INTRODUCTION: Artificial intelligence image recognition has applications in clinical practice. The purpose of this study was to develop an automated image classification model for lung cancer cytology using a deep learning convolutional neural networ...
Humans Neural Networks, Computer Artificial Intelligence Cytodiagnosis Image Processing, Computer-Assisted Carcinoma, Squamous Cell Lung Neoplasms Sensitivity and Specificity Adenocarcinoma Deep Learning Carcinoma, Non-Small-Cell Lung
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Machine learning enabled classification of lung cancer cell lines co-cultured with fibroblasts with lightweight convolutional neural network for initial diagnosis.

Journal of biomedical science Aug 23, 2024
BACKGROUND: Identification of lung cancer subtypes is critical for successful treatment in patients, especially those in advanced stages. Many advanced and personal treatments require knowledge of specific mutations, as well as up- and down-regulatio...
Coculture Techniques Humans Neural Networks, Computer Machine Learning Cell Line, Tumor Lung Neoplasms Carcinoma, Non-Small-Cell Lung Fibroblasts
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Efficient model-informed co-segmentation of tumors on PET/CT driven by clustering and classification information.

Computers in biology and medicine Aug 12, 2024
Automatic tumor segmentation via positron emission tomography (PET) and computed tomography (CT) images plays a critical role in the prevention, diagnosis, and treatment of this disease via radiation oncology. However, segmenting these tumors is chal...
Fuzzy Logic Cluster Analysis Bayes Theorem Positron Emission Tomography Computed Tomography Image Processing, Computer-Assisted Lung Neoplasms Head and Neck Neoplasms Carcinoma, Non-Small-Cell Lung Humans Algorithms
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Integrating knowledge graphs into machine learning models for survival prediction and biomarker discovery in patients with non-small-cell lung cancer.

Journal of translational medicine Aug 5, 2024
Accurate survival prediction for Non-Small Cell Lung Cancer (NSCLC) patients remains a significant challenge for the scientific and clinical community despite decades of advanced analytics. Addressing this challenge not only helps inform the critical...
Survival Analysis Clinical Trials as Topic Proportional Hazards Models Knowledge Lung Neoplasms Carcinoma, Non-Small-Cell Lung Mutation Computer Graphics Humans Machine Learning Prognosis Biomarkers, Tumor
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Detecting pulmonary malignancy against benign nodules using noninvasive cell-free DNA fragmentomics assay.

ESMO open Jul 31, 2024
BACKGROUND: Early screening using low-dose computed tomography (LDCT) can reduce mortality caused by non-small-cell lung cancer. However, ∼25% of the 'suspicious' pulmonary nodules identified by LDCT are later confirmed benign through resection surge...
Aged Male Middle Aged Lung Neoplasms Carcinoma, Non-Small-Cell Lung Liquid Biopsy Machine Learning Cell-Free Nucleic Acids Humans Tomography, X-Ray Computed Multiple Pulmonary Nodules Female Early Detection of Cancer
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CT-based deep learning radiomics biomarker for programmed cell death ligand 1 expression in non-small cell lung cancer.

BMC medical imaging Jul 31, 2024
BACKGROUND: Programmed cell death ligand 1 (PD-L1), as a reliable predictive biomarker, plays an important role in guiding immunotherapy of lung cancer. To investigate the value of CT-based deep learning radiomics signature to predict PD-L1 expressio...
ROC Curve Lung Neoplasms B7-H1 Antigen Carcinoma, Non-Small-Cell Lung Area Under Curve Biomarkers, Tumor Male Middle Aged Deep Learning Female Aged Radiomics Humans Retrospective Studies Tomography, X-Ray Computed
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The impact of high-order features on performance of radiomics studies in CT non-small cell lung cancer.

Clinical imaging Jul 30, 2024
High-order radiomic features have been shown to produce high performance models in a variety of scenarios. However, models trained without high-order features have shown similar performance, raising the question of whether high-order features are wor...
Adult Tomography, X-Ray Computed Humans Radiomics Lung Neoplasms Machine Learning Female Male Carcinoma, Non-Small-Cell Lung Aged Retrospective Studies Middle Aged Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over
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