AIMC Topic: Adenocarcinoma of Lung
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Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier.
Technology in cancer research & treatment
Jan 1, 2024
INTRODUCTION: This study aimed to devise a diagnostic algorithm, termed the Refined Radiomics and Deep Learning Features-Guided CatBoost Classifier (RRDLC-Classifier), and evaluate its efficacy in predicting pathological high-grade patterns in patien...
Multiomics Analysis of Disulfidptosis Patterns and Integrated Machine Learning to Predict Immunotherapy Response in Lung Adenocarcinoma.
Current medicinal chemistry
Jan 1, 2024
BACKGROUND: Recent studies have unveiled disulfidptosis as a phenomenon intimately associated with cellular damage, heralding new avenues for exploring tumor cell dynamics. We aimed to explore the impact of disulfide cell death on the tumor immune mi...
Supervised training models with or without manual lesion delineation outperform clinicians in distinguishing pulmonary cryptococcosis from lung adenocarcinoma on chest CT.
Mycoses
Jan 1, 2024
BACKGROUND: The role of artificial intelligence (AI) in the discrimination between pulmonary cryptococcosis (PC) and lung adenocarcinoma (LA) warrants further research.
Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.
Journal of the American Medical Informatics Association : JAMIA
May 1, 2020
OBJECTIVE: Non-small cell lung cancer is a leading cause of cancer death worldwide, and histopathological evaluation plays the primary role in its diagnosis. However, the morphological patterns associated with the molecular subtypes have not been sys...
Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma: A preliminary study.
Medicine
Jun 1, 2019
To compare results for radiological prediction of pathological invasiveness in lung adenocarcinoma between radiologists and a deep learning (DL) system.Ninety patients (50 men, 40 women; mean age, 66 years; range, 40-88 years) who underwent pre-opera...
Exploring the survival prognosis of lung adenocarcinoma based on the cancer genome atlas database using artificial neural network.
Medicine
May 1, 2019
The aim of this study was to investigate the clinical factors affecting the survival prognosis of lung adenocarcinoma, and to establish a predictive model of survival prognosis of lung adenocarcinoma by artificial neural network.Download the cancer g...
Screening key lncRNAs for human lung adenocarcinoma based on machine learning and weighted gene co-expression network analysis.
Cancer biomarkers : section A of Disease markers
Jan 1, 2019
BACKGROUND: Lung adenocarcinoma (LUAD) accounts for a significant proportion of lung cancer and there have been few diagnostic and therapeutic targets for LUAD due to the lack of specific biomarker. The aim of this study was to identify key long non-...
Recognition of Lung Adenocarcinoma-specific Gene Pairs Based on Genetic Algorithm and Establishment of a Deep Learning Prediction Model.
Combinatorial chemistry & high throughput screening
Jan 1, 2019
AIM AND OBJECTIVE: Lung cancer is a disease with a dismal prognosis and is the major cause of cancer deaths in many countries. Nonetheless, rapid technological developments in genome science guarantees more effective prevention and treatment strategi...
Robotic right middle lobectomy with a subxiphoid utility port.
Interactive cardiovascular and thoracic surgery
Jun 1, 2018
We present the case of a 74-year-old man with Stage IIa pulmonary adenocarcinoma, for which he underwent a robotic right middle lobectomy. A 4-armed, 5-port approach was used. Four intercostal ports were created above the ninth rib using the Cerfolio...
Robotic Assisted Extended Sleeve Lobectomy After Neoadjuvant Chemotherapy.
The Annals of thoracic surgery
Dec 1, 2015
A 61-year-old man had experienced an irritating cough for 1 month. He received a diagnosis of lung adenocarcinoma by bronchoscopy. Computed tomography showed a mass in the left hilum and mediastinal lymph node enlargement. After two cycles of neoadju...
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