AIMC Topic: Lung Neoplasms

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Vomiting Management and Effect Prediction after Early Chemotherapy of Lung Cancer with Diffusion-Weighted Imaging under Artificial Intelligence Algorithm and Comfort Care Intervention.

Computational and mathematical methods in medicine Jun 15, 2022
This aim of this research was to explore the evaluation and prediction value of diffusion-weighted imaging (DWI) under artificial intelligence algorithm in the vomiting management and chemotherapy of early lung cancer under comfort care. 118 patients...
Quality of Life Algorithms Lung Neoplasms Humans Vomiting Biomarkers, Tumor Artificial Intelligence Diffusion Magnetic Resonance Imaging Patient Comfort
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Deep Learning to Optimize Candidate Selection for Lung Cancer CT Screening: Advancing the 2021 USPSTF Recommendations.

Radiology Jun 14, 2022
Background A deep learning (DL) model to identify lung cancer screening candidates based on their chest radiographs requires external validation with a recent real-world non-U.S. sample. Purpose To validate the DL model and identify added benefits to...
Retrospective Studies Tomography, X-Ray Computed Female Humans Deep Learning Lung Neoplasms Mass Screening Male Middle Aged Early Detection of Cancer
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Performance Analysis of State-of-the-Art CNN Architectures for LUNA16.

Sensors (Basel, Switzerland) Jun 11, 2022
The convolutional neural network (CNN) has become a powerful tool in machine learning (ML) that is used to solve complex problems such as image recognition, natural language processing, and video analysis. Notably, the idea of exploring convolutional...
Lung Neoplasms Humans Machine Learning Tomography, X-Ray Computed Neural Networks, Computer
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Deep Learning-Based Digitally Reconstructed Tomography of the Chest in the Evaluation of Solitary Pulmonary Nodules: A Feasibility Study.

Academic radiology Jun 9, 2022
RATIONALE AND OBJECTIVES: Computed tomography (CT) is preferred for evaluating solitary pulmonary nodules (SPNs) but access or availability may be lacking, in addition, overlapping anatomy can hinder detection of SPNs on chest radiographs. We develop...
Feasibility Studies Female Aged Lung Neoplasms Retrospective Studies Tomography, X-Ray Computed Solitary Pulmonary Nodule Deep Learning Humans
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Hybrid robotic lobectomy with thoracic wall resection for superior sulcus tumor.

General thoracic and cardiovascular surgery Jun 6, 2022
A major challenge in treating superior sulcus tumors is achieving complete surgical resection because of technical difficulties associated with the anatomical structures and approaches to the thorax. Our technique combines posterior minimally invasiv...
Lung Neoplasms Robotics Pain Robotic Surgical Procedures Thoracic Wall Humans Pancoast Syndrome Pneumonectomy Thoracic Surgery, Video-Assisted
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Prediction of the position of external markers using a recurrent neural network trained with unbiased online recurrent optimization for safe lung cancer radiotherapy.

Computer methods and programs in biomedicine May 25, 2022
BACKGROUND AND OBJECTIVE: During lung cancer radiotherapy, the position of infrared reflective objects on the chest can be recorded to estimate the tumor location. However, radiotherapy systems have a latency inherent to robot control limitations tha...
Neural Networks, Computer Algorithms Lung Neoplasms Motion Lung Humans Respiration
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Trends and factors affecting approach choice to pulmonary resection.

Journal of surgical oncology May 23, 2022
BACKGROUND: The development of an advanced robotic platform in 2014 led to increased adoption of minimally invasive (MI) approaches in thoracic surgery. Due to dataset reporting lag, a comprehensive assessment of trends in thoracic approaches has not...
Thoracic Surgery, Video-Assisted Minimally Invasive Surgical Procedures Pneumonectomy Lung Neoplasms Robotics Humans Retrospective Studies
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Development and Validation of a Risk Stratification Model of Pulmonary Ground-Glass Nodules Based on Complementary Lung-RADS 1.1 and Deep Learning Scores.

Frontiers in public health May 23, 2022
PURPOSE: To assess the value of novel deep learning (DL) scores combined with complementary lung imaging reporting and data system 1.1 (cLung-RADS 1.1) in managing the risk stratification of ground-glass nodules (GGNs) and therefore improving the eff...
Tomography, X-Ray Computed Risk Assessment Lung Multiple Pulmonary Nodules Deep Learning Humans Lung Neoplasms Retrospective Studies
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Treatment plan prediction for lung IMRT using deep learning based fluence map generation.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) May 21, 2022
PURPOSE: Recently, it has been shown that automated treatment planning can be executed by direct fluence prediction from patient anatomy using convolutional neural networks. Proof of principle publications utilise a fixed dose prescription and fixed ...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Lung Humans Deep Learning Lung Neoplasms
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A Novel Deep Learning Network and Its Application for Pulmonary Nodule Segmentation.

Computational intelligence and neuroscience May 17, 2022
Pulmonary nodules are the early manifestation of lung cancer, which appear as circular shadow of no more than 3 cm on the computed tomography (CT) image. Accurate segmentation of the contours of pulmonary nodules can help doctors improve the efficien...
Multiple Pulmonary Nodules Deep Learning Lung Neoplasms Humans Tomography, X-Ray Computed
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