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Lymphatic Metastasis

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Enhancing Specificity in Predicting Axillary Lymph Node Metastasis in Breast Cancer through an Interpretable Machine Learning Model with CEM and Ultrasound Integration.

Technology in cancer research & treatment 40241520
IntroductionThe study aims to evaluate the performance of an interpretable machine learning model in predicting preoperative axillary lymph node metastasis using primary breast cancer and lymph node features derived from contrast-enhanced mammography...
Adult Aged Axilla Breast Neoplasms Contrast Media Female Humans Lymph Nodes Lymphatic Metastasis Machine Learning Mammography Middle Aged Retrospective Studies ROC Curve Ultrasonography Ultrasonography, Mammary
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A radiomics model combining machine learning and neural networks for high-accuracy prediction of cervical lymph node metastasis on ultrasound of head and neck squamous cell carcinoma.

Oral surgery, oral medicine, oral pathology and oral radiology 40122764
OBJECTIVE: This study aimed to develop an ultrasound image-based radiomics model for diagnosing cervical lymph node (LN) metastasis in patients with head and neck squamous cell carcinoma (HNSCC) that shows higher accuracy than previous models.
Female Head and Neck Neoplasms Humans Lymph Nodes Lymphatic Metastasis Machine Learning Male Middle Aged Neck Neural Networks, Computer Radiomics Squamous Cell Carcinoma of Head and Neck Ultrasonography
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Automated detection of metastatic lymph nodes in head and neck malignant tumors on high - resolution MRI images using an improved convolutional neural network.

International journal of medical informatics 40220628
PURPOSE: To develop an AI-based diagnostic model for assessing cervical lymph nodes in head and neck malignant tumors using MRI, enabling non-invasive pre-surgical metastasis diagnosis.
Adult Aged Convolutional Neural Networks Female Head and Neck Neoplasms Humans Image Interpretation, Computer-Assisted Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging Male Middle Aged Neural Networks, Computer Retrospective Studies Sensitivity and Specificity
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Deep learning-based breast MRI for predicting axillary lymph node metastasis: a systematic review and meta-analysis.

Cancer imaging : the official publication of the International Cancer Imaging Society 40165212
BACKGROUND: To perform a systematic review and meta-analysis that assesses the diagnostic performance of deep learning algorithms applied to breast MRI for predicting axillary lymph nodes metastases in patients of breast cancer.
Axilla Breast Neoplasms Deep Learning Female Humans Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging
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Machine learning models for prediction of lymph node metastasis in patients with gastric cancer: a Chinese single-centre study with external validation in an Asian American population.

BMJ open 40132850
OBJECTIVE: To develop and validate machine learning (ML)-based models to predict lymph node metastasis (LNM) in patients with gastric cancer (GC).
Adult Aged China East Asian People Female Humans Lymphatic Metastasis Machine Learning Male Middle Aged Neural Networks, Computer Retrospective Studies ROC Curve SEER Program Stomach Neoplasms
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Artificial Intelligence and Convolutional Neural Networks-Driven Detection of Micro and Macro Metastasis of Cutaneous Melanoma to the Lymph Nodes.

The American Journal of dermatopathology 40105309
BACKGROUND: Lymph node (LN) assessment is a critical component in the staging and management of cutaneous melanoma. Traditional histopathological evaluation, supported by immunohistochemical staining, is the gold standard for detecting LN metastases....
Artificial Intelligence Convolutional Neural Networks Humans Image Interpretation, Computer-Assisted Lymph Nodes Lymphatic Metastasis Melanoma Melanoma, Cutaneous Malignant Neural Networks, Computer Skin Neoplasms
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Machine learning-based reconstruction of prognostic staging for gastric cancer patients with different differentiation grades: A multicenter retrospective study.

World journal of gastroenterology 40248057
BACKGROUND: The prognosis of gastric cancer (GC) patients is poor, and an accurate prognostic staging system would help assess patients' prognostic status before treatment and determine appropriate treatment strategies.
Adult Aged Female Humans Lymph Nodes Lymphatic Metastasis Machine Learning Male Middle Aged Neoplasm Grading Neoplasm Staging Predictive Value of Tests Prognosis Retrospective Studies SEER Program Stomach Neoplasms
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Preoperative assessment in lymph node metastasis of pancreatic ductal adenocarcinoma: a transformer model based on dual-energy CT.

World journal of surgical oncology 40205450
BACKGROUND: Deep learning(DL) models can improve significantly discrimination of lymph node metastasis(LNM) of pancreatic ductal adenocarcinoma(PDAC), but have not been systematically assessed.
Adult Aged Carcinoma, Pancreatic Ductal Deep Learning Female Follow-Up Studies Humans Lymph Nodes Lymphatic Metastasis Male Middle Aged Pancreatic Neoplasms Preoperative Care Prognosis Retrospective Studies ROC Curve Survival Rate Tomography, X-Ray Computed
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Novel deep learning algorithm based MRI radiomics for predicting lymph node metastases in rectal cancer.

Scientific reports 40204902
To explore the value of applying the MRI-based radiomic nomogram for predicting lymph node metastasis (LNM) in rectal cancer (RC). This retrospective analysis used data from 430 patients with RC from two medical centers. The patients were categorized...
Adult Aged Algorithms Deep Learning Female Humans Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging Male Middle Aged Nomograms Radiomics Rectal Neoplasms Retrospective Studies ROC Curve
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An ensemble learning model to predict lymph node metastasis in early gastric cancer.

Scientific reports 40175493
Lymph node metastasis is a critical factor for determining therapeutic strategies and assessing the prognosis of early gastric cancer. This work aimed to establish a more dependable predictive model for identify lymph node metastasis in early gastric...
Adult Aged Algorithms Ensemble Learning Female Humans Lymph Nodes Lymphatic Metastasis Machine Learning Male Middle Aged Prognosis Risk Factors Stomach Neoplasms
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