AIMC Topic: Axilla

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Editorial for "Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRI".

Journal of magnetic resonance imaging : JMRI Oct 8, 2022
Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging Axilla Breast Humans Retrospective Studies Female Breast Neoplasms Deep Learning
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Scoping review of approaches used for remote-access parathyroidectomy: A contemporary review of techniques, tools, pros and cons.

Head & neck Apr 25, 2022
After our coauthors described the first remote-access parathyroidectomy (RAP) series in 2000, several other approaches were developed. No systematic review has been performed to classify and evaluate RAP techniques. We performed a literature search u...
Endoscopy Axilla Robotics Minimally Invasive Surgical Procedures Parathyroidectomy Humans
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Assessment of Axillary Lymph Nodes for Metastasis on Ultrasound Using Artificial Intelligence.

Ultrasonic imaging Aug 20, 2021
The purpose of this study was to evaluate an artificial intelligence (AI) system for the classification of axillary lymph nodes on ultrasound compared to radiologists. Ultrasound images of 317 axillary lymph nodes from patients referred for ultrasoun...
Breast Neoplasms Humans Lymph Nodes Artificial Intelligence Lymphatic Metastasis Female Axilla Sensitivity and Specificity
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Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks.

BMC medical imaging Apr 13, 2021
BACKGROUND: In oncology, the correct determination of nodal metastatic disease is essential for patient management, as patient treatment and prognosis are closely linked to the stage of the disease. The aim of the study was to develop a tool for auto...
Humans Neural Networks, Computer Tomography, X-Ray Computed Contrast Media Axilla Middle Aged Datasets as Topic Thorax Deep Learning Female Carcinoma, Bronchogenic Mediastinum Lung Neoplasms Aged Lymph Nodes Adult Lymphatic Metastasis Male
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Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer.

EBioMedicine Sep 24, 2020
BACKGROUND: Completion axillary lymph node dissection is overtreatment for patients with sentinel lymph node (SLN) metastasis in whom the metastatic risk of residual non-SLN (NSLN) is low. However, the National Comprehensive Cancer Network panel posi...
Adult Breast Neoplasms Middle Aged Deep Learning Ultrasonography Retrospective Studies Female Aged Young Adult Axilla Multicenter Studies as Topic ROC Curve Image Processing, Computer-Assisted Computational Biology Lymph Nodes Lymphatic Metastasis Humans
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The effect of robot-assisted transaxillary thyroidectomy (RATT) on body image is better than the conventional approach with cervicotomy: a preliminary report.

Updates in surgery May 12, 2020
BACKGROUND: Cosmetic satisfaction is not only based on the patient's perception of the scar itself but is also related to body image self-evaluation. Cosmetic superiority of Robot-assisted transaxillary thyroidectomy (RATT) over conventional thyroide...
Female Infant, Newborn Adolescent Thyroid Gland Thyroidectomy Thyroid Neoplasms Axilla Robotics Body Image Humans
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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...
Logistic Models Lymph Nodes Nomograms Lymphatic Metastasis Neoplasm Invasiveness Lymph Node Excision Axilla Regression Analysis Breast Tumor Burden Aged, 80 and over Adult Breast Neoplasms Middle Aged ROC Curve Machine Learning Retrospective Studies Female Humans Aged Carcinoma, Ductal, Breast Sentinel Lymph Node Biopsy, Fine-Needle Sentinel Lymph Node Biopsy
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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...
Mastectomy Reference Standards Preoperative Period Elasticity Imaging Techniques Lymph Node Excision Axilla Neoplasm Staging Breast Aged, 80 and over Adult Breast Neoplasms Middle Aged Deep Learning Ultrasonography ROC Curve Humans Image Processing, Computer-Assisted Prospective Studies Lymph Nodes Prognosis Lymphatic Metastasis Female Aged
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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...
Axilla Anatomic Landmarks Feasibility Studies Radiopharmaceuticals Breast Neoplasms Datasets as Topic Humans Positron-Emission Tomography ROC Curve Fluorodeoxyglucose F18 Neural Networks, Computer Image Processing, Computer-Assisted Sentinel Lymph Node Female Lymphatic Metastasis Reproducibility of Results Magnetic Resonance Imaging
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Artificial neural network models to predict nodal status in clinically node-negative breast cancer.

BMC cancer Jun 21, 2019
BACKGROUND: Sentinel lymph node biopsy (SLNB) is standard staging procedure for nodal status in breast cancer, but lacks therapeutic benefit for patients with benign sentinel nodes. For patients with positive sentinel nodes, individualized surgical s...
Young Adult Adult Breast Neoplasms Middle Aged Lymph Nodes Retrospective Studies Female Linear Models Humans Aged Receptors, Estrogen Neural Networks, Computer Aged, 80 and over Sentinel Lymph Node Biopsy Lymphatic Metastasis Carcinoma, Lobular Axilla Area Under Curve Tumor Burden Neovascularization, Pathologic
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