AIMC Topic: Small Cell Lung Carcinoma

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Identification of key gene signatures for predicting chemo-immunotherapy efficacy in extensive-stage small-cell lung cancer using machine learning.

Lung cancer (Amsterdam, Netherlands) Jan 2, 2025
OBJECTIVES: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through...
Aged Biomarkers, Tumor Male Middle Aged Machine Learning Prospective Studies Prognosis Female Gene Expression Regulation, Neoplastic Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Neoplasm Staging Humans Small Cell Lung Carcinoma Gene Expression Profiling Transcriptome Lung Neoplasms Immunotherapy
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Machine learning-based prediction model for brain metastasis in patients with extensive-stage small cell lung cancer.

Scientific reports Nov 20, 2024
Brain metastases (BMs) in extensive-stage small cell lung cancer (ES-SCLC) are often associated with poor survival rates and quality of life, making the timely identification of high-risk patients for BMs in ES-SCLC crucial. Patients diagnosed with E...
Humans Male Risk Factors Neoplasm Staging Middle Aged SEER Program Machine Learning Aged ROC Curve Small Cell Lung Carcinoma Algorithms Adult Lung Neoplasms Prognosis Brain Neoplasms Female
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Precise and automated lung cancer cell classification using deep neural network with multiscale features and model distillation.

Scientific reports May 7, 2024
Lung diseases globally impose a significant pathological burden and mortality rate, particularly the differential diagnosis between adenocarcinoma, squamous cell carcinoma, and small cell lung carcinoma, which is paramount in determining optimal trea...
Humans Neural Networks, Computer Adenocarcinoma Diagnosis, Differential Small Cell Lung Carcinoma Carcinoma, Squamous Cell Deep Learning Image Processing, Computer-Assisted Lung Neoplasms
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Predicting overall survival and prophylactic cranial irradiation benefit in small-cell lung cancer with CT-based deep learning: A retrospective multicenter study.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 12, 2024
BACKGROUND AND PURPOSE: To develop a computed tomography (CT)-based deep learning model to predict overall survival (OS) among small-cell lung cancer (SCLC) patients and identify patients who could benefit from prophylactic cranial irradiation (PCI) ...
Small Cell Lung Carcinoma Cranial Irradiation Male Middle Aged Deep Learning Lung Neoplasms Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Survival Rate
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Identifying Pathological Subtypes of Brain Metastasis from Lung Cancer Using MRI-Based Deep Learning Approach: A Multicenter Study.

Journal of imaging informatics in medicine Feb 12, 2024
The aim of this study was to investigate the feasibility of deep learning (DL) based on multiparametric MRI to differentiate the pathological subtypes of brain metastasis (BM) in lung cancer patients. This retrospective analysis collected 246 patient...
Image Interpretation, Computer-Assisted Small Cell Lung Carcinoma Lung Neoplasms Carcinoma, Non-Small-Cell Lung Magnetic Resonance Imaging Feasibility Studies Humans Male Brain Middle Aged Aged Deep Learning Adult ROC Curve Brain Neoplasms Retrospective Studies Female
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Comparison Results of Three-Port Robot-Assisted and Uniportal Video-Assisted Lobectomy for Functional Recovery Index in the Treatment of Early Stage Non-small Cell Lung Cancer: A Propensity Score-Matched Analysis.

Annals of surgical oncology Dec 17, 2023
BACKGROUND: Minimally invasive lobectomy is the standard treatment for early stage non-small cell lung cancer (NSCLC). The aim of this study is to investigate postoperative recovery in a prospective trial of discharged patients with early stage non-s...
Propensity Score Cough Humans Small Cell Lung Carcinoma Robotics Prospective Studies Pneumonectomy Lung Neoplasms Thoracic Surgery, Video-Assisted Carcinoma, Non-Small-Cell Lung
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Novel radiomic features versus deep learning: differentiating brain metastases from pathological lung cancer types in small datasets.

The British journal of radiology May 2, 2023
OBJECTIVE: Accurate diagnosis and early treatment are crucial for survival in patients with brain metastases. This study aims to expand the capability of radiomics-based classification algorithms with novel features and compare results with deep lear...
Humans Brain Neoplasms Deep Learning Lung Neoplasms Adenocarcinoma Small Cell Lung Carcinoma
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Classification of subtypes including LCNEC in lung cancer biopsy slides using convolutional neural network from scratch.

Scientific reports Feb 3, 2022
Identifying the lung carcinoma subtype in small biopsy specimens is an important part of determining a suitable treatment plan but is often challenging without the help of special and/or immunohistochemical stains. Pathology image analysis that tackl...
Eosine Yellowish-(YS) Hematoxylin Datasets as Topic Histocytochemistry Small Cell Lung Carcinoma Adenocarcinoma of Lung Carcinoma, Non-Small-Cell Lung Area Under Curve Biopsy Image Interpretation, Computer-Assisted Neural Networks, Computer Humans Carcinoma, Squamous Cell Lung Lung Neoplasms
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Weakly supervised learning for classification of lung cytological images using attention-based multiple instance learning.

Scientific reports Oct 13, 2021
In cytological examination, suspicious cells are evaluated regarding malignancy and cancer type. To assist this, we previously proposed an automated method based on supervised learning that classifies cells in lung cytological images as benign or mal...
Supervised Machine Learning Humans Thorax Image Interpretation, Computer-Assisted Neural Networks, Computer Deep Learning Medical Informatics Small Cell Lung Carcinoma Retrospective Studies Image Processing, Computer-Assisted Pattern Recognition, Automated Chromatin Carcinoma, Squamous Cell Lung Neoplasms Reproducibility of Results Adenocarcinoma Lung
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A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images.

Scientific reports Apr 14, 2021
The differentiation between major histological types of lung cancer, such as adenocarcinoma (ADC), squamous cell carcinoma (SCC), and small-cell lung cancer (SCLC) is of crucial importance for determining optimum cancer treatment. Hematoxylin and Eos...
Area Under Curve Small Cell Lung Carcinoma Deep Learning Humans ROC Curve Databases, Factual Lung Neoplasms Carcinoma, Squamous Cell Adenocarcinoma Lung
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