AIMC Topic: Lymph Nodes

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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...
Neural Networks, Computer Tomography, X-Ray Computed Computer Systems Lung Neoplasms Lymph Nodes Humans
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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 ...
Humans Tomography, X-Ray Computed Deep Learning Lung Neoplasms Lymph Nodes Lymphatic Metastasis 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...
Lymph Nodes Nomograms Lymphatic Metastasis Neoplasm Invasiveness Lymph Node Excision Breast Neoplasms Middle Aged ROC Curve Logistic Models Carcinoma, Ductal, Breast Sentinel Lymph Node Biopsy, Fine-Needle Sentinel Lymph Node Biopsy Axilla Regression Analysis Breast Tumor Burden Humans Machine Learning Aged Aged, 80 and over Adult Retrospective Studies Female
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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...
Humans Elasticity Imaging Techniques Breast Mastectomy Reference Standards Preoperative Period Deep Learning Ultrasonography ROC Curve Image Processing, Computer-Assisted Lymph Node Excision Axilla Neoplasm Staging Lymph Nodes Lymphatic Metastasis Aged, 80 and over Prospective Studies Adult Prognosis Breast Neoplasms Female Middle Aged Aged
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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...
Multidetector Computed Tomography Internship and Residency Neck Lymphatic Metastasis Cohort Studies Radiology Algorithms Thyroid Neoplasms Diagnosis, Computer-Assisted ROC Curve Education, Medical, Graduate Deep Learning Lymph Nodes Humans Artificial Intelligence
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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...
Computational Biology Lymph Nodes Unsupervised Machine Learning Radiographic Image Interpretation, Computer-Assisted Information Storage and Retrieval Algorithms Tomography, X-Ray Computed Diagnosis, Computer-Assisted Deep Learning Humans Neural Networks, Computer
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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.
Prognosis Retrospective Studies Tomography, X-Ray Computed Humans Nomograms Adenocarcinoma Stomach Neoplasms Lymphatic Metastasis Male Female Neoplasm Staging Middle Aged Aged Deep Learning Aged, 80 and over Lymph Nodes Adult
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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...
Neoplasms, Germ Cell and Embryonal Reproducibility of Results Middle Aged Lymph Node Excision Young Adult Computational Biology Testicular Neoplasms Humans Adult Lymph Nodes Orchiectomy Neoplasm Staging Machine Learning Male Lymphatic Metastasis Retroperitoneal Space Retrospective Studies Tomography, X-Ray Computed
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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...
Neoplasm Staging Extranodal Extension ROC Curve Lymph Nodes Squamous Cell Carcinoma of Head and Neck Humans Head and Neck Neoplasms Tomography, X-Ray Computed Lymphatic Metastasis Reproducibility of Results Deep Learning
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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.
Deep Learning Lymph Nodes Lymphatic Metastasis Sentinel Lymph Node Biopsy Humans Tomography, X-Ray Computed Breast Neoplasms
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