AIMC Topic: Lymph Nodes

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A pathologist-AI collaboration framework for enhancing diagnostic accuracies and efficiencies.

Nature biomedical engineering Jun 19, 2024
In pathology, the deployment of artificial intelligence (AI) in clinical settings is constrained by limitations in data collection and in model transparency and interpretability. Here we describe a digital pathology framework, nuclei.io, that incorpo...
Humans Artificial Intelligence Female Pathologists Colorectal Neoplasms Lymph Nodes Lymphatic Metastasis Biopsy
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Smart scanning: automatic detection of superficially located lymph nodes using ultrasound - initial results.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Jun 17, 2024
Over the last few years, there has been an increasing focus on integrating artificial intelligence (AI) into existing imaging systems. This also applies to ultrasound. There are already applications for thyroid and breast lesions that enable AI-assis...
Aged Ultrasonography, Mammary Adult Humans Artificial Intelligence Breast Neoplasms Thyroid Nodule Female Middle Aged Lymph Nodes Thyroid Neoplasms Lymphatic Metastasis Ultrasonography
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Diagnostic accuracy of CT-based radiomics and deep learning for predicting lymph node metastasis in esophageal cancer.

Clinical imaging Jun 16, 2024
BACKGROUND: Esophageal cancer remains a global challenge due to late diagnoses and limited treatments. Lymph node metastasis (LNM) is crucial for prognosis, yet traditional diagnostics fall short. Integrating radiomics and deep learning (DL) with CT ...
Humans Tomography, X-Ray Computed Sensitivity and Specificity Predictive Value of Tests Esophageal Neoplasms Radiomics Deep Learning Lymph Nodes Lymphatic Metastasis
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Using machine learning to develop preoperative model for lymph node metastasis in patients with bladder urothelial carcinoma.

BMC cancer Jun 13, 2024
BACKGROUND: Lymph node metastasis (LNM) is associated with worse prognosis in bladder urothelial carcinoma (BUC) patients. This study aimed to develop and validate machine learning (ML) models to preoperatively predict LNM in BUC patients treated wit...
Retrospective Studies Female Aged Male Middle Aged Humans Machine Learning Prognosis Urinary Bladder Neoplasms Lymph Node Excision Carcinoma, Transitional Cell Cystectomy ROC Curve Preoperative Period Lymph Nodes Support Vector Machine Lymphatic Metastasis
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Artificial Intelligence Imaging Diagnosis Using Super-Resolution and Three-Dimensional Shape for Lymph Node Metastasis of Low Rectal Cancer: A Pilot Study From a Single Center.

Diseases of the colon and rectum Jun 11, 2024
BACKGROUND: Although accurate preoperative diagnosis of lymph node metastasis is essential for optimizing treatment strategies for low rectal cancer, the accuracy of present diagnostic modalities has room for improvement.
Proctectomy Predictive Value of Tests Pelvis Rectal Neoplasms Multidetector Computed Tomography Sensitivity and Specificity Male Middle Aged Pilot Projects Adenocarcinoma Lymphatic Metastasis Lymph Node Excision Imaging, Three-Dimensional Lymph Nodes Retrospective Studies Female Aged Adult Humans Artificial Intelligence
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Machine Learning Model for Predicting Axillary Lymph Node Metastasis in Clinically Node Positive Breast Cancer Based on Peritumoral Ultrasound Radiomics and SHAP Feature Analysis.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine May 29, 2024
OBJECTIVE: This study seeks to construct a machine learning model that merges clinical characteristics with ultrasound radiomic analysis-encompassing both the intratumoral and peritumoral-to predict the status of axillary lymph nodes in patients with...
Aged Adult Breast Neoplasms Radiomics Predictive Value of Tests Middle Aged Humans Ultrasonography, Mammary Lymph Nodes Lymphatic Metastasis Machine Learning Axilla Retrospective Studies Female
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Deep-learning features based on F18 fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) to predict preoperative colorectal cancer lymph node metastasis.

Clinical radiology May 27, 2024
AIM: The objective of this study was to create and authenticate a prognostic model for lymph node metastasis (LNM) in colorectal cancer (CRC) that integrates clinical, radiomics, and deep transfer learning features.
Adult Middle Aged Humans Sensitivity and Specificity Retrospective Studies Deep Learning Colorectal Neoplasms Female Positron Emission Tomography Computed Tomography Lymph Nodes Male Aged Radiopharmaceuticals Nomograms Lymphatic Metastasis Fluorodeoxyglucose F18 Predictive Value of Tests
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A non-invasive preoperative prediction model for predicting axillary lymph node metastasis in breast cancer based on a machine learning approach: combining ultrasonographic parameters and breast gamma specific imaging features.

Radiation oncology (London, England) May 27, 2024
BACKGROUND: The most common route of breast cancer metastasis is through the mammary lymphatic network. An accurate assessment of the axillary lymph node (ALN) burden before surgery can avoid unnecessary axillary surgery, consequently preventing surg...
Lymphatic Metastasis Axilla Breast Neoplasms Middle Aged Ultrasonography Lymph Nodes Retrospective Studies Female Aged Adult Humans Machine Learning Prognosis
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A machine learning model for predicting the lymph node metastasis of early gastric cancer not meeting the endoscopic curability criteria.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association May 25, 2024
BACKGROUND: We developed a machine learning (ML) model to predict the risk of lymph node metastasis (LNM) in patients with early gastric cancer (EGC) who did not meet the existing Japanese endoscopic curability criteria and compared its performance w...
Humans Neural Networks, Computer Female Aged Stomach Neoplasms Machine Learning Retrospective Studies Lymphatic Metastasis Endoscopic Mucosal Resection Male Middle Aged ROC Curve Lymph Nodes
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A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma.

BMC medical imaging May 24, 2024
OBJECTIVES: At present, there are many limitations in the evaluation of lymph node metastasis of lung adenocarcinoma. Currently, there is a demand for a safe and accurate method to predict lymph node metastasis of lung cancer. In this study, radiomic...
Lymphatic Metastasis Adenocarcinoma of Lung Female Aged Adult Humans Radiomics Tomography, X-Ray Computed Male Deep Learning Middle Aged Lung Neoplasms Lymph Nodes
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