AIMC Topic: Lymphatic Metastasis
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Machine learning predicts lymph node metastasis of poorly differentiated-type intramucosal gastric cancer.
Scientific reports
Jan 14, 2021
To construct a machine learning algorithm model of lymph node metastasis (LNM) in patients with poorly differentiated-type intramucosal gastric cancer. 1169 patients with postoperative gastric cancer were divided into a training group and a test grou...
LASSO-Based Machine Learning Algorithm for Prediction of Lymph Node Metastasis in T1 Colorectal Cancer.
Cancer research and treatment
Dec 29, 2020
PURPOSE: The role of tumor-infiltrating lymphocytes (TILs) in predicting lymph node metastasis (LNM) in patients with T1 colorectal cancer (CRC) remains unclear. Furthermore, clinical utility of a machine learning-based approach has not been widely s...
Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections.
Scientific reports
Dec 14, 2020
Fast and accurate confirmation of metastasis on the frozen tissue section of intraoperative sentinel lymph node biopsy is an essential tool for critical surgical decisions. However, accurate diagnosis by pathologists is difficult within the time limi...
Predicting lymph node metastasis in patients with oropharyngeal cancer by using a convolutional neural network with associated epistemic and aleatoric uncertainty.
Physics in medicine and biology
Nov 12, 2020
There can be significant uncertainty when identifying cervical lymph node (LN) metastases in patients with oropharyngeal squamous cell carcinoma (OPSCC) despite the use of modern imaging modalities such as positron emission tomography (PET) and compu...
Deep decision support for lymph node metastatic risk evaluation.
EBioMedicine
Nov 5, 2020
Machine Learning Algorithms for the Prediction of Central Lymph Node Metastasis in Patients With Papillary Thyroid Cancer.
Frontiers in endocrinology
Oct 21, 2020
BACKGROUND: Central lymph node metastasis (CLNM) occurs frequently in patients with papillary thyroid cancer (PTC), but performing prophylactic central lymph node dissection is still controversial. There are no reliable models for predicting CLNM. Th...
Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival.
Clinical physiology and functional imaging
Oct 18, 2020
INTRODUCTION: Lymph node metastases are a key prognostic factor in prostate cancer (PCa), but detecting lymph node lesions from PET/CT images is a subjective process resulting in inter-reader variability. Artificial intelligence (AI)-based methods ca...
A deep learning nomogram kit for predicting metastatic lymph nodes in rectal cancer.
Cancer medicine
Sep 30, 2020
BACKGROUND: Preoperative diagnoses of metastatic lymph nodes (LNs) by the most advanced deep learning technology of Faster Region-based Convolutional Neural Network (Faster R-CNN) have not yet been reported.
Adult
Male
Middle Aged
Risk Assessment
Deep Learning
Humans
Reproducibility of Results
Rectal Neoplasms
Decision Support Techniques
Risk Factors
Lymph Nodes
Image Interpretation, Computer-Assisted
Prognosis
Aged
Nomograms
Aged, 80 and over
Lymphatic Metastasis
Female
Magnetic Resonance Imaging
Predictive Value of Tests
Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node.
Gastroenterology
Sep 24, 2020
BACKGROUND & AIMS: In accordance with guidelines, most patients with T1 colorectal cancers (CRC) undergo surgical resection with lymph node dissection, despite the low incidence (∼10%) of metastasis to lymph nodes. To reduce unnecessary surgical rese...
Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer.
EBioMedicine
Sep 24, 2020
BACKGROUND: Completion axillary lymph node dissection is overtreatment for patients with sentinel lymph node (SLN) metastasis in whom the metastatic risk of residual non-SLN (NSLN) is low. However, the National Comprehensive Cancer Network panel posi...
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