AIMC Topic: Lymphatic Metastasis

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Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning.

European radiology Apr 12, 2019
OBJECTIVES: This study was conducted in order to evaluate a novel risk stratification model using dual-energy CT (DECT) texture analysis of head and neck squamous cell carcinoma (HNSCC) with machine learning to (1) predict associated cervical lymphad...
Humans Machine Learning Head and Neck Neoplasms Neck Lymphatic Metastasis Neoplasm Staging Multidetector Computed Tomography Female Male Lymph Nodes Squamous Cell Carcinoma of Head and Neck
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Combining many-objective radiomics and 3D convolutional neural network through evidential reasoning to predict lymph node metastasis in head and neck cancer.

Physics in medicine and biology Mar 29, 2019
Lymph node metastasis (LNM) is a significant prognostic factor in patients with head and neck cancer, and the ability to predict it accurately is essential to optimizing treatment. Positron emission tomography (PET) and computed tomography (CT) imagi...
Lymphatic Metastasis Predictive Value of Tests Positron Emission Tomography Computed Tomography Neural Networks, Computer Imaging, Three-Dimensional Lymph Nodes Head and Neck Neoplasms Humans
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Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma.

Oral oncology Mar 16, 2019
OBJECTIVES: To develop and validate an algorithm to predict occult nodal metastasis in clinically node negative oral cavity squamous cell carcinoma (OCSCC) using machine learning. To compare algorithm performance to a model based on tumor depth of in...
Machine Learning Algorithms Databases, Factual Prognosis Female Humans Artificial Intelligence Middle Aged ROC Curve Models, Theoretical Lymphatic Metastasis Neoplasm Grading Carcinoma, Squamous Cell Aged Sensitivity and Specificity Male Mouth Neoplasms
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Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT.

European radiology Mar 15, 2019
PURPOSE: To develop a deep learning-based computer-aided diagnosis (CAD) system for use in the CT diagnosis of cervical lymph node metastasis (LNM) in patients with thyroid cancer.
Male Retrospective Studies Tomography, X-Ray Computed Diagnosis, Computer-Assisted Female Humans Deep Learning Sensitivity and Specificity Thyroid Neoplasms Neural Networks, Computer Area Under Curve Algorithms Neck Radiographic Image Interpretation, Computer-Assisted Lymphatic Metastasis
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An Intelligent Clinical Decision Support System for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer.

Journal of the American College of Radiology : JACR Feb 4, 2019
PURPOSE: The aim of this study was to develop and validate a computational clinical decision support system (DSS) on the basis of CT radiomics features for the prediction of lymph node (LN) metastasis in gastric cancer (GC) using machine learning-bas...
Multidetector Computed Tomography Preoperative Care Middle Aged ROC Curve Decision Support Systems, Clinical Lymph Nodes Predictive Value of Tests Neoplasm Staging Gastrectomy Lymphatic Metastasis Neoplasm Invasiveness Female Aged Stomach Neoplasms Male Databases, Factual Prognosis Retrospective Studies Clinical Decision-Making Humans Machine Learning
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Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection.

IEEE transactions on medical imaging Jan 7, 2019
Lymph node metastasis is one of the most important indicators in breast cancer diagnosis, that is traditionally observed under the microscope by pathologists. In recent years, with the dramatic advance of high-throughput scanning and deep learning te...
Humans Algorithms Deep Learning Lymph Nodes Histocytochemistry Lymphatic Metastasis Image Interpretation, Computer-Assisted
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Predictors of Nodal and Metastatic Failure in Early Stage Non-small-cell Lung Cancer After Stereotactic Body Radiation Therapy.

Clinical lung cancer Dec 29, 2018
INTRODUCTION/BACKGROUND: Many patients with early stage non-small-cell lung cancer (ES-NSCLC) undergoing stereotactic body radiation therapy (SBRT) develop metastases, which is associated with poor outcomes. We sought to identify factors predictive o...
Radiotherapy Dosage Radiosurgery Treatment Failure Male Risk Factors Middle Aged Humans Lymphatic Metastasis Carcinoma, Non-Small-Cell Lung Aged Disease Progression Prognosis Neoplasm Staging Follow-Up Studies Aged, 80 and over Lung Neoplasms Retrospective Studies Tumor Burden Adult Female
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Prediction of Lymph Node Maximum Standardized Uptake Value in Patients With Cancer Using a 3D Convolutional Neural Network: A Proof-of-Concept Study.

AJR. American journal of roentgenology Dec 12, 2018
OBJECTIVE: The purpose of this study is to determine whether a convolutional neural network (CNN) can predict the maximum standardized uptake value (SUV) of lymph nodes in patients with cancer using the unenhanced CT images from a PET/CT examination,...
Humans Neural Networks, Computer Retrospective Studies Aged, 80 and over Young Adult Adult Tomography, X-Ray Computed Aged Predictive Value of Tests Positron Emission Tomography Computed Tomography Radiopharmaceuticals Fluorodeoxyglucose F18 Proof of Concept Study Middle Aged Neoplasms Imaging, Three-Dimensional Lymphatic Metastasis
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Artificial Intelligence-Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists.

Archives of pathology & laboratory medicine Oct 8, 2018
CONTEXT.—: Nodal metastasis of a primary tumor influences therapy decisions for a variety of cancers. Histologic identification of tumor cells in lymph nodes can be laborious and error-prone, especially for small tumor foci.
Pathology, Clinical Lymphatic Metastasis Pathologists Image Interpretation, Computer-Assisted Sentinel Lymph Node Biopsy Humans Female Breast Neoplasms Deep Learning
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Prognostic values of the integrated model incorporating the volume of metastatic regional cervical lymph node and pretreatment serum Epstein-Barr virus DNA copy number in predicting distant metastasis in patients with N1 nasopharyngeal carcinoma.

Chinese journal of cancer Dec 29, 2017
BACKGROUND: According to the 7th edition of the American Joint Committee on Cancer (AJCC) staging system, over 50% of patients with nasopharyngeal carcinoma (NPC) have N1 disease at initial diagnosis. However, patients with N1 NPC are relatively unde...
Prognosis Female DNA Copy Number Variations Male Survival Analysis DNA, Viral Humans Neoplasm Staging Nasopharyngeal Carcinoma ROC Curve Epstein-Barr Virus Infections Nasopharyngeal Neoplasms Herpesvirus 4, Human Lymphatic Metastasis
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