AIMC Topic: Lymphatic Metastasis

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Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on I post-ablation whole-body planar scans.

Scientific reports May 8, 2020
The accurate detection of radioactive iodine-avid lymph node (LN) metastasis on I post-ablation whole-body planar scans (RxWBSs) is important in tracking the progression of the metastatic lymph nodes (mLNs) of patients with papillary thyroid cancer (...
Thyroid Neoplasms Image Processing, Computer-Assisted Lymphatic Metastasis Iodine Radioisotopes Automation Humans Retrospective Studies Deep Learning Single Photon Emission Computed Tomography Computed Tomography Whole Body Imaging Ablation Techniques
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Convolutional Neural Networks in Predicting Nodal and Distant Metastatic Potential of Newly Diagnosed Non-Small Cell Lung Cancer on FDG PET Images.

AJR. American journal of roentgenology Apr 29, 2020
The purpose of this study was to assess, by analyzing features of the primary tumor with F-FDG PET, the utility of deep machine learning with a convolutional neural network (CNN) in predicting the potential of newly diagnosed non-small cell lung can...
Positron Emission Tomography Computed Tomography Radiopharmaceuticals Neoplasm Metastasis Fluorodeoxyglucose F18 Imaging, Three-Dimensional Lung Neoplasms Carcinoma, Non-Small-Cell Lung Lymphatic Metastasis Predictive Value of Tests Adult Sensitivity and Specificity Male Middle Aged Humans Neural Networks, Computer Retrospective Studies Female Aged Aged, 80 and over
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A cross-modal 3D deep learning for accurate lymph node metastasis prediction in clinical stage T1 lung adenocarcinoma.

Lung cancer (Amsterdam, Netherlands) Apr 25, 2020
OBJECTIVES: The evaluation of lymph node (LN) status by radiologists based on preoperative computed tomography (CT) lacks high precision for early lung cancer patients; erroneous evaluations result in inappropriate therapeutic plans and increase the ...
Adenocarcinoma of Lung Humans Tomography, X-Ray Computed Deep Learning Lung Neoplasms Lymph Nodes Lymphatic Metastasis
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Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.

Cancer imaging : the official publication of the International Cancer Imaging Society Apr 25, 2020
BACKGROUND: Preoperative detection of lymph node (LN) metastasis is critical for planning treatments in colon cancer (CC). The clinical diagnostic criteria based on the size of the LNs are not sensitive to determine metastasis using CT images. In thi...
Middle Aged Pilot Projects Lymphatic Metastasis Colonic Neoplasms Preoperative Period Aged Adult Sensitivity and Specificity Male Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female
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Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study.

Annals of oncology : official journal of the European Society for Medical Oncology Apr 15, 2020
BACKGROUND: Preoperative evaluation of the number of lymph node metastasis (LNM) is the basis of individual treatment of locally advanced gastric cancer (LAGC). However, the routinely used preoperative determination method is not accurate enough.
Deep Learning China Nomograms Lymphatic Metastasis Italy Humans Stomach Neoplasms
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Can a machine-learning model improve the prediction of nodal stage after a positive sentinel lymph node biopsy in breast cancer?

Acta oncologica (Stockholm, Sweden) Mar 9, 2020
The current standard for evaluating axillary nodal burden in clinically node negative breast cancer is sentinel lymph node biopsy (SLNB). However, the accuracy of SLNB to detect nodal stage N2-3 remains debatable. Nomograms can help the decision-mak...
Neoplasm Invasiveness Lymph Node Excision Axilla Regression Analysis Breast Humans Tumor Burden Machine Learning Carcinoma, Ductal, Breast Retrospective Studies Sentinel Lymph Node Female ROC Curve Biopsy, Fine-Needle Aged Sentinel Lymph Node Biopsy Logistic Models Aged, 80 and over Lymph Nodes Adult Nomograms Breast Neoplasms Lymphatic Metastasis Middle Aged
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Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.

Nature communications Mar 6, 2020
Accurate identification of axillary lymph node (ALN) involvement in patients with early-stage breast cancer is important for determining appropriate axillary treatment options and therefore avoiding unnecessary axillary surgery and complications. Her...
Aged, 80 and over Adult Breast Neoplasms Middle Aged Deep Learning Humans Prospective Studies Prognosis Female Aged Mastectomy Reference Standards Preoperative Period Elasticity Imaging Techniques Lymphatic Metastasis Ultrasonography Lymph Node Excision ROC Curve Axilla Image Processing, Computer-Assisted Neoplasm Staging Lymph Nodes Breast
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Prostate Cancer Nodal Staging: Using Deep Learning to Predict Ga-PSMA-Positivity from CT Imaging Alone.

Scientific reports Feb 25, 2020
Lymphatic spread determines treatment decisions in prostate cancer (PCa) patients. 68Ga-PSMA-PET/CT can be performed, although cost remains high and availability is limited. Therefore, computed tomography (CT) continues to be the most used modality f...
Prostatic Neoplasms Organometallic Compounds Gallium Radioisotopes Gallium Isotopes Male Humans Deep Learning Retrospective Studies Lymphatic Metastasis Tomography, X-Ray Computed Membrane Glycoproteins Aged Positron Emission Tomography Computed Tomography
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Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training.

European radiology Feb 17, 2020
PURPOSE: This study aimed to validate a deep learning model's diagnostic performance in using computed tomography (CT) to diagnose cervical lymph node metastasis (LNM) from thyroid cancer in a large clinical cohort and to evaluate the model's clinica...
Cohort Studies Thyroid Neoplasms ROC Curve Lymph Nodes Neck Humans Artificial Intelligence Lymphatic Metastasis Radiology Education, Medical, Graduate Algorithms Multidetector Computed Tomography Diagnosis, Computer-Assisted Internship and Residency Deep Learning
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Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.

European radiology Jan 17, 2020
OBJECTIVES: To build a dual-energy CT (DECT)-based deep learning radiomics nomogram for lymph node metastasis (LNM) prediction in gastric cancer.
Male Female Nomograms Humans Aged Adenocarcinoma Middle Aged Prognosis Aged, 80 and over Lymphatic Metastasis Deep Learning Retrospective Studies Adult Neoplasm Staging Lymph Nodes Stomach Neoplasms Tomography, X-Ray Computed
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