AIMC Topic: Lung Neoplasms

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Deep Learning for Prediction of N2 Metastasis and Survival for Clinical Stage I Non-Small Cell Lung Cancer.

Radiology Oct 26, 2021
Background Preoperative mediastinal staging is crucial for the optimal management of clinical stage I non-small cell lung cancer (NSCLC). Purpose To develop a deep learning signature for N2 metastasis prediction and prognosis stratification in clinic...
Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Neoplasm Staging Survival Analysis Neoplasms, Second Primary Deep Learning Cohort Studies Lung Neoplasms Male Middle Aged Risk Assessment Humans Prospective Studies Prognosis Reproducibility of Results Biomarkers, Tumor Retrospective Studies Female
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One deep learning local-global model based on CT imaging to differentiate between nodular cryptococcosis and lung cancer which are hard to be diagnosed.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Oct 23, 2021
OBJECTIVES: We aim to evaluate a deep learning (DL) model and radiomic model for preoperative differentiation of nodular cryptococcosis from solitary lung cancer in patients with malignant features on CT images.
Humans Lung Neoplasms Solitary Pulmonary Nodule Cryptococcosis Retrospective Studies Tomography, X-Ray Computed Deep Learning
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Deep learning model for automatic contouring of cardiovascular substructures on radiotherapy planning CT images: Dosimetric validation and reader study based clinical acceptability testing.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Oct 21, 2021
BACKGROUND AND PURPOSE: Large radiotherapy (RT) planning imaging datasets with consistently contoured cardiovascular structures are essential for robust cardiac radiotoxicity research in thoracic cancers. This study aims to develop and validate a hig...
Carcinoma, Non-Small-Cell Lung Organs at Risk Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Deep Learning Lung Neoplasms Humans
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Deep Learning-Based Computed Tomography Imaging to Diagnose the Lung Nodule and Treatment Effect of Radiofrequency Ablation.

Journal of healthcare engineering Oct 20, 2021
This study aimed to detect and diagnose the lung nodules as early as possible to effectively treat them, thereby reducing the burden on the medical system and patients. A lung computed tomography (CT) image segmentation algorithm was constructed base...
Radiofrequency Ablation Deep Learning Humans Lung Neoplasms Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Lung
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Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy.

Radiation oncology (London, England) Oct 14, 2021
OBJECTIVE: To develop high-quality synthetic CT (sCT) generation method from low-dose cone-beam CT (CBCT) images by using attention-guided generative adversarial networks (AGGAN) and apply these images to dose calculations in radiotherapy.
Tomography, X-Ray Computed Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Neural Networks, Computer Prognosis Radiotherapy, Intensity-Modulated Phantoms, Imaging Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Lung Neoplasms Bone Neoplasms Soft Tissue 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...
Image Processing, Computer-Assisted Humans Lung Neoplasms Adenocarcinoma Pattern Recognition, Automated Reproducibility of Results Supervised Machine Learning Thorax Neural Networks, Computer Small Cell Lung Carcinoma Lung Image Interpretation, Computer-Assisted Retrospective Studies Chromatin Deep Learning Medical Informatics Carcinoma, Squamous Cell
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Adaptive Diagnosis of Lung Cancer by Deep Learning Classification Using Wilcoxon Gain and Generator.

Journal of healthcare engineering Oct 13, 2021
Cancer is a complicated worldwide health issue with an increasing death rate in recent years. With the swift blooming of the high throughput technology and several machine learning methods that have unfolded in recent years, progress in cancer diseas...
Humans Machine Learning Deep Learning Lung Neoplasms
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3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients' CT images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 30, 2021
The diagnosis of preoperative lymph node (LN) metastasis is crucial to evaluate possible therapy options for T1 lung adenocarcinoma patients. Radiologists preoperatively diagnose LN metastasis by evaluating signs related to LN metastasis, like spicul...
Lymphatic Metastasis Adenocarcinoma of Lung Tomography, X-Ray Computed Humans Deep Learning Lung Neoplasms
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New Technique for Introducing a Surgical Stapler during Robot-Assisted Lobectomy for Lung Cancer.

Journal of Nippon Medical School = Nippon Ika Daigaku zasshi Sep 14, 2021
BACKGROUND: The da Vinci Si version robot lacks a vascular stapler that can be controlled by the operating surgeon at the surgical console when dividing pulmonary vessels. Therefore, to initiate and safely perform robotic anatomical lobectomy for lun...
Robotic Surgical Procedures Retrospective Studies Surgical Staplers Humans Lung Neoplasms Robotics
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An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients.

European journal of nuclear medicine and molecular imaging Sep 14, 2021
PURPOSE: The identification of pathological mediastinal lymph nodes is an important step in the staging of lung cancer, with the presence of metastases significantly affecting survival rates. Nodes are currently identified by a physician, but this pr...
Humans Lymphatic Metastasis Positron Emission Tomography Computed Tomography Neoplasm Staging Positron-Emission Tomography Fluorodeoxyglucose F18 Deep Learning Lung Neoplasms Artificial Intelligence Lymph Nodes Retrospective Studies Sensitivity and Specificity
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