AIMC Topic: Lung Neoplasms

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Digital/Computational Technology for Molecular Cytology Testing: A Short Technical Note with Literature Review.

Acta cytologica Apr 30, 2021
This short article describes the method of digital cytopathology using Z-stack scanning with or without extended focusing. This technology is suitable to observe such thick clusters as adenocarcinoma on cytologic specimens. Artificial intelligence (A...
Lung Neoplasms Reproducibility of Results Molecular Diagnostic Techniques Diagnosis, Computer-Assisted Predictive Value of Tests Image Processing, Computer-Assisted Mutation Humans Adenocarcinoma of Lung DNA Mutational Analysis Artificial Intelligence Pathology, Molecular ErbB Receptors Automation, Laboratory
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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...
Lung Deep Learning ROC Curve Humans Area Under Curve Lung Neoplasms Databases, Factual Adenocarcinoma Carcinoma, Squamous Cell Small Cell Lung Carcinoma
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Human-recognizable CT image features of subsolid lung nodules associated with diagnosis and classification by convolutional neural networks.

European radiology Apr 13, 2021
OBJECTIVES: The interpretability of convolutional neural networks (CNNs) for classifying subsolid nodules (SSNs) is insufficient for clinicians. Our purpose was to develop CNN models to classify SSNs on CT images and to investigate image features ass...
Retrospective Studies Tomography, X-Ray Computed Lung Lung Neoplasms Humans Neural Networks, Computer Artificial Intelligence Neoplasm Invasiveness
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Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks.

BMC medical imaging Apr 13, 2021
BACKGROUND: In oncology, the correct determination of nodal metastatic disease is essential for patient management, as patient treatment and prognosis are closely linked to the stage of the disease. The aim of the study was to develop a tool for auto...
Thorax Mediastinum Carcinoma, Bronchogenic Contrast Media Axilla Datasets as Topic Male Middle Aged Deep Learning Lung Neoplasms Lymph Nodes Lymphatic Metastasis Female Aged Adult Humans Neural Networks, Computer Tomography, X-Ray Computed
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High precision localization of pulmonary nodules on chest CT utilizing axial slice number labels.

BMC medical imaging Apr 9, 2021
BACKGROUND: Reidentification of prior nodules for temporal comparison is an important but time-consuming step in lung cancer screening. We develop and evaluate an automated nodule detector that utilizes the axial-slice number of nodules found in radi...
Male Middle Aged Lung Neoplasms Solitary Pulmonary Nodule Tumor Burden False Positive Reactions Machine Learning Humans Tomography, X-Ray Computed Neural Networks, Computer Female
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10 Commandments of Robotic Lobectomy.

Innovations (Philadelphia, Pa.) Apr 8, 2021
Lung Neoplasms Robotics Robotic Surgical Procedures Humans Pneumonectomy Thoracic Surgery, Video-Assisted
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Evaluating eligibility criteria of oncology trials using real-world data and AI.

Nature Apr 7, 2021
There is a growing focus on making clinical trials more inclusive but the design of trial eligibility criteria remains challenging. Here we systematically evaluate the effect of different eligibility criteria on cancer trial populations and outcomes ...
Electronic Health Records Reproducibility of Results Lung Neoplasms Humans Artificial Intelligence Patient Safety Datasets as Topic Clinical Trials as Topic Proportional Hazards Models Clinical Laboratory Techniques Carcinoma, Non-Small-Cell Lung Patient Selection Medical Oncology
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[Robot-Assisted Lung Surgery].

Zentralblatt fur Chirurgie Mar 30, 2021
Anatomical lung resection is the standard treatment for patients with early-stage lung cancer. The conventional surgical techniques are thoracotomy and video-assisted thoracic surgery, but new methods have been added as technology has developed. The ...
Thoracic Surgery, Video-Assisted Lung Humans Robotics Lung Neoplasms Pneumonectomy
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Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study.

BMC medicine Mar 29, 2021
BACKGROUND: Targeted therapy and immunotherapy put forward higher demands for accurate lung cancer classification, as well as benign versus malignant disease discrimination. Digital whole slide images (WSIs) witnessed the transition from traditional ...
Humans Retrospective Studies Deep Learning Lung Neoplasms
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Graph of graphs analysis for multiplexed data with application to imaging mass cytometry.

PLoS computational biology Mar 29, 2021
Imaging Mass Cytometry (IMC) combines laser ablation and mass spectrometry to quantitate metal-conjugated primary antibodies incubated in intact tumor tissue slides. This strategy allows spatially-resolved multiplexing of dozens of simultaneous prote...
Lung Neoplasms Mass Spectrometry Molecular Imaging Image Interpretation, Computer-Assisted Image Cytometry Algorithms Databases, Factual Antineoplastic Agents Humans Machine Learning
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