AIMC Topic: Lymph Nodes

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Radiomics for Diagnosing Lateral Pelvic Lymph Nodes in Rectal Cancer: Artificial Intelligence Enabling Precision Medicine?

Annals of surgical oncology Aug 6, 2020
Lymphatic Metastasis Lymph Node Excision Pelvis Rectal Neoplasms Humans Artificial Intelligence Precision Medicine Lymph Nodes
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Impact of indocyanine green-guided extended pelvic lymph node dissection during robot-assisted radical prostatectomy.

International journal of urology : official journal of the Japanese Urological Association Jul 7, 2020
OBJECTIVES: To evaluate the effectiveness of indocyanine green-guided extended pelvic lymph node dissection during robot-assisted radical prostatectomy for intermediate- to high-risk prostate cancer.
Prostatic Neoplasms Pelvis Indocyanine Green Prostatectomy Male Lymph Nodes Lymph Node Excision Robotics Humans
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Automatic detection of cervical lymph nodes in patients with oral squamous cell carcinoma using a deep learning technique: a preliminary study.

Oral radiology Jun 6, 2020
OBJECTIVE: To apply a deep learning object detection technique to CT images for detecting cervical lymph nodes metastasis in patients with oral cancers, and to clarify the detection performance.
Carcinoma, Squamous Cell Deep Learning Lymph Nodes Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Lymphatic Metastasis Mouth Neoplasms Humans
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Performance improvement of mediastinal lymph node severity detection using GAN and Inception network.

Computer methods and programs in biomedicine May 22, 2020
BACKGROUND AND OBJECTIVE: In lung cancer, the determination of mediastinal lymph node (MLN) status as benign or malignant influence treatment planning and survival rate. Invasive pathological tests for the classification of MLNs into benign and malig...
Computer Systems Humans Neural Networks, Computer Lung Neoplasms Tomography, X-Ray Computed Lymph Nodes
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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 ...
Deep Learning Lung Neoplasms Lymph Nodes Lymphatic Metastasis Humans Tomography, X-Ray Computed Adenocarcinoma of Lung
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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...
Sentinel Lymph Node Biopsy, Fine-Needle Sentinel Lymph Node Biopsy Humans Machine Learning Retrospective Studies Female Aged Lymphatic Metastasis Neoplasm Invasiveness Lymph Node Excision Axilla ROC Curve Regression Analysis Logistic Models Aged, 80 and over Breast Lymph Nodes Adult Tumor Burden Nomograms Breast Neoplasms Carcinoma, Ductal, Breast 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...
Neoplasm Staging Breast Mastectomy Reference Standards Lymph Nodes Lymphatic Metastasis Lymph Node Excision Axilla Preoperative Period Elasticity Imaging Techniques Aged, 80 and over Adult Breast Neoplasms Middle Aged Deep Learning Ultrasonography ROC Curve Image Processing, Computer-Assisted Prospective Studies Prognosis Female Aged Humans
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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...
Education, Medical, Graduate Multidetector Computed Tomography Internship and Residency Lymph Nodes Neck Lymphatic Metastasis Radiology Deep Learning Cohort Studies Thyroid Neoplasms ROC Curve Humans Artificial Intelligence Algorithms Diagnosis, Computer-Assisted
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Multicenter Computer-Aided Diagnosis for Lymph Nodes Using Unsupervised Domain-Adaptation Networks Based on Cross-Domain Confounding Representations.

Computational and mathematical methods in medicine Jan 24, 2020
To achieve the robust high-performance computer-aided diagnosis systems for lymph nodes, CT images may be typically collected from multicenter data, which cause the isolated performance of the model based on different data source centers. The variabi...
Diagnosis, Computer-Assisted Unsupervised Machine Learning Humans Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Deep Learning Algorithms Information Storage and Retrieval Computational Biology Tomography, X-Ray Computed Lymph Nodes
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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 Middle Aged Humans Deep Learning Aged Prognosis Nomograms Lymph Nodes Aged, 80 and over Retrospective Studies Adenocarcinoma Tomography, X-Ray Computed Lymphatic Metastasis Adult Female Neoplasm Staging Stomach Neoplasms
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