AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Lymphatic Metastasis

Showing 281 to 290 of 395 articles

Clear Filters

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...
Retrospective Studies Female Aged Aged, 80 and over Adult Humans Machine Learning Nomograms Lymphatic Metastasis Neoplasm Invasiveness Lymph Node Excision Axilla Regression Analysis Breast Neoplasms Middle Aged ROC Curve Logistic Models Lymph Nodes Sentinel Lymph Node Biopsy Breast Tumor Burden Carcinoma, Ductal, Breast Sentinel Lymph Node Biopsy, Fine-Needle
View on PubMed DOI

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...
Breast Neoplasms Middle Aged Deep Learning Ultrasonography ROC Curve Prognosis Female Aged Aged, 80 and over Adult Neoplasm Staging Humans Image Processing, Computer-Assisted Reference Standards Breast Prospective Studies Lymph Nodes Preoperative Period Mastectomy Lymphatic Metastasis Elasticity Imaging Techniques Lymph Node Excision Axilla
View on PubMed DOI

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...
Male Gallium Isotopes Humans Deep Learning Prostatic Neoplasms Retrospective Studies Lymphatic Metastasis Tomography, X-Ray Computed Membrane Glycoproteins Organometallic Compounds Aged Gallium Radioisotopes Positron Emission Tomography Computed Tomography
View on PubMed DOI

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 Algorithms Diagnosis, Computer-Assisted Deep Learning Humans Cohort Studies Artificial Intelligence Thyroid Neoplasms ROC Curve Lymph Nodes Neck Lymphatic Metastasis Radiology
View on PubMed DOI

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.
Humans Adenocarcinoma Prognosis Lymphatic Metastasis Retrospective Studies Neoplasm Staging Aged, 80 and over Male Tomography, X-Ray Computed Adult Middle Aged Female Stomach Neoplasms Deep Learning Aged Lymph Nodes Nomograms
View on PubMed DOI

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...
Lymph Node Excision Humans Neoplasm Staging Computational Biology Machine Learning Reproducibility of Results Retroperitoneal Space Lymph Nodes Retrospective Studies Young Adult Neoplasms, Germ Cell and Embryonal Lymphatic Metastasis Tomography, X-Ray Computed Adult Testicular Neoplasms Male Orchiectomy Middle Aged
View on PubMed DOI

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...
Neoplasm Staging Extranodal Extension ROC Curve Lymph Nodes Humans Squamous Cell Carcinoma of Head and Neck Tomography, X-Ray Computed Head and Neck Neoplasms Reproducibility of Results Lymphatic Metastasis Deep Learning
View on PubMed DOI

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.
Humans Tomography, X-Ray Computed Breast Neoplasms Deep Learning Lymph Nodes Lymphatic Metastasis Sentinel Lymph Node Biopsy
View on PubMed DOI

Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI.

Clinical breast cancer Dec 5, 2019
BACKGROUND: Axillary lymph node status is important for breast cancer staging and treatment planning as the majority of breast cancer metastasis spreads through the axillary lymph nodes. There is currently no reliable noninvasive imaging method to de...
Anatomic Landmarks ROC Curve Fluorodeoxyglucose F18 Humans Feasibility Studies Image Processing, Computer-Assisted Sentinel Lymph Node Neural Networks, Computer Lymphatic Metastasis Radiopharmaceuticals Female Magnetic Resonance Imaging Positron-Emission Tomography Reproducibility of Results Axilla Datasets as Topic Breast Neoplasms
View on PubMed DOI

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...
Adult Sensitivity and Specificity Breast Neoplasms Humans Middle Aged Feasibility Studies Neural Networks, Computer Retrospective Studies Cohort Studies Deep Learning Image Interpretation, Computer-Assisted Algorithms Female Lymph Nodes Aged Lymphatic Metastasis Aged, 80 and over Predictive Value of Tests Young Adult Ultrasonography, Mammary
View on PubMed DOI
Popular Topics
Recent Journals