AIMC Topic: Lymph Nodes

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Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal lymph node dissection.

European radiology Dec 11, 2019
OBJECTIVES: To evaluate whether a computed tomography (CT) radiomics-based machine learning classifier can predict histopathology of lymph nodes (LNs) after post-chemotherapy LN dissection (pcRPLND) in patients with metastatic non-seminomatous testic...
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Testicular Neoplasms Retroperitoneal Space Middle Aged Orchiectomy Neoplasms, Germ Cell and Embryonal Lymph Node Excision Neoplasm Staging Computational Biology Lymph Nodes Lymphatic Metastasis Reproducibility of Results Young Adult Adult Male
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Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Dec 9, 2019
PURPOSE: Extranodal extension (ENE) is a well-established poor prognosticator and an indication for adjuvant treatment escalation in patients with head and neck squamous cell carcinoma (HNSCC). Identification of ENE on pretreatment imaging represents...
Humans Tomography, X-Ray Computed Reproducibility of Results Head and Neck Neoplasms Deep Learning Lymphatic Metastasis ROC Curve Neoplasm Staging Lymph Nodes Extranodal Extension Squamous Cell Carcinoma of Head and Neck
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Deep Learning Signature Based on Staging CT for Preoperative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer.

Academic radiology Dec 7, 2019
RATIONALE AND OBJECTIVES: To evaluate the noninvasive predictive performance of deep learning features based on staging CT for sentinel lymph node (SLN) metastasis of breast cancer.
Sentinel Lymph Node Biopsy Breast Neoplasms Deep Learning Lymph Nodes Lymphatic Metastasis Humans Tomography, X-Ray Computed
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Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.

Radiology Nov 19, 2019
Background Deep learning (DL) algorithms are gaining extensive attention for their excellent performance in image recognition tasks. DL models can automatically make a quantitative assessment of complex medical image characteristics and achieve incre...
Image Interpretation, Computer-Assisted Lymphatic Metastasis Predictive Value of Tests Ultrasonography, Mammary Feasibility Studies Young Adult Retrospective Studies Adult Female Middle Aged Sensitivity and Specificity Aged Humans Deep Learning Breast Neoplasms Aged, 80 and over Neural Networks, Computer Cohort Studies Algorithms Lymph Nodes
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Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural network.

Scientific reports Nov 15, 2019
Deep-UV (DUV) excitation fluorescence microscopy has potential to provide rapid diagnosis with simple technique comparing to conventional histopathology based on hematoxylin and eosin (H&E) staining. We established a fluorescent staining protocol for...
Immunohistochemistry Fluorescent Antibody Technique Software Algorithms Image Processing, Computer-Assisted Lymph Nodes Lymphatic Metastasis Microscopy, Fluorescence Biopsy Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Machine Learning
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Development and external validation of a nomogram to predict lymph node invasion after robot assisted radical prostatectomy.

Urologic oncology Nov 12, 2019
BACKGROUND: Prediction of lymph node invasion (LNI) after radical prostatectomy has been rarely assessed in robotically assisted laparoscopic radical prostatectomy (RALP) series. We aimed to develop and externally validate a pretreatment nomogram for...
Aged Male Middle Aged Lymph Nodes Humans Reproducibility of Results Nomograms Robotics Prostatic Neoplasms Prostatectomy
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Detection of Lung Cancer Lymph Node Metastases from Whole-Slide Histopathologic Images Using a Two-Step Deep Learning Approach.

The American journal of pathology Sep 18, 2019
The application of deep learning for the detection of lymph node metastases on histologic slides has attracted worldwide attention due to its potentially important role in patient treatment and prognosis. Despite this attention, false-positive predic...
Humans Algorithms Deep Learning ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Lymph Nodes Pathology, Clinical Neoplasm Micrometastasis
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A machine learning-assisted decision-support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection.

BJU international Aug 28, 2019
OBJECTIVES: To develop a machine learning (ML)-assisted model to identify candidates for extended pelvic lymph node dissection (ePLND) in prostate cancer by integrating clinical, biopsy, and precisely defined magnetic resonance imaging (MRI) findings...
Decision Trees Prostatic Neoplasms Prostate Pelvis Lymph Nodes Aged Support Vector Machine Aged, 80 and over Magnetic Resonance Imaging Male Lymph Node Excision Middle Aged Humans Machine Learning Retrospective Studies
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A radiomics approach based on support vector machine using MR images for preoperative lymph node status evaluation in intrahepatic cholangiocarcinoma.

Theranostics Jul 9, 2019
: Accurate lymph node (LN) status evaluation for intrahepatic cholangiocarcinoma (ICC) patients is essential for surgical planning. This study aimed to develop and validate a prediction model for preoperative LN status evaluation in ICC patients. : A...
Preoperative Care Middle Aged Support Vector Machine Aged Humans ROC Curve Aged, 80 and over Magnetic Resonance Imaging Lymph Nodes Female Adult Calibration Nomograms Reproducibility of Results Male Cholangiocarcinoma
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Local Interpretable Model-Agnostic Explanations for Classification of Lymph Node Metastases.

Sensors (Basel, Switzerland) Jul 5, 2019
An application of explainable artificial intelligence on medical data is presented. There is an increasing demand in machine learning literature for such explainable models in health-related applications. This work aims to generate explanations on ho...
Deep Learning Image Processing, Computer-Assisted Lymph Nodes Lymphatic Metastasis Humans Models, Biological Neural Networks, Computer Algorithms
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