AIMC Topic: Axilla

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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...
Female Aged Aged, 80 and over Adult Breast Neoplasms Middle Aged Humans Prospective Studies Prognosis Mastectomy Reference Standards Preoperative Period Elasticity Imaging Techniques Lymphatic Metastasis Lymph Node Excision Axilla Neoplasm Staging Breast Deep Learning Ultrasonography ROC Curve Image Processing, Computer-Assisted Lymph Nodes
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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...
Anatomic Landmarks Feasibility Studies Radiopharmaceuticals Positron-Emission Tomography Datasets as Topic Fluorodeoxyglucose F18 Sentinel Lymph Node ROC Curve Humans Image Processing, Computer-Assisted Neural Networks, Computer Lymphatic Metastasis Female Magnetic Resonance Imaging Reproducibility of Results Axilla Breast Neoplasms
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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...
Area Under Curve Tumor Burden Neovascularization, Pathologic Linear Models Receptors, Estrogen Breast Neoplasms Middle Aged Lymph Nodes Lymphatic Metastasis Axilla Sentinel Lymph Node Biopsy Carcinoma, Lobular Humans Neural Networks, Computer Retrospective Studies Female Aged Aged, 80 and over Young Adult Adult
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Comparison of robot-assisted modified radical neck dissection using a bilateral axillary breast approach with a conventional open procedure after propensity score matching.

Surgical endoscopy May 7, 2019
BACKGROUND: There is ongoing debate about whether or not robot-assisted thyroidectomy is appropriate for modified radical neck dissection (MRND). The purpose of this study was to compare the surgical outcomes of robot-assisted MRND with those of a co...
Carcinoma, Papillary Neck Dissection Axilla Operative Time Incidence Robotics Male Breast Humans Middle Aged Republic of Korea Thyroidectomy Propensity Score Retrospective Studies Postoperative Complications Female Thyroid Neoplasms Lymph Nodes Adult Lymphatic Metastasis
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Evolution Strategies in Transaxillary Robotic Thyroidectomy: Considerations on the First 449 Cases Performed.

Journal of laparoendoscopic & advanced surgical techniques. Part A Mar 21, 2019
BACKGROUND: In the past 20 years, the fast spread of new surgical technologies has reached an important peak with the advent of the robotic surgery. Many studies have been run about a cosmetic desire to avoid neck scars after thyroid surgery and this...
Robotics Laparoscopy Practice Guidelines as Topic Male Humans Thyroidectomy Retrospective Studies Thyroid Neoplasms Female Axilla Adult Operative Time
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[Robot-assisted transaxillary thyroid surgery; 5 years later].

Nederlands tijdschrift voor geneeskunde Mar 14, 2019
Five years ago, robot-assisted transaxillary thyroidectomy (RATT) was introduced in the Netherlands. The major advantage of this technique, when compared to the conventional approach, is the prevention of a potentially disfiguring scar in the neck. I...
Humans Thyroid Gland Time Factors Thyroidectomy Follow-Up Studies Axilla Robotics Cicatrix Netherlands
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Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm.

Annals of surgical oncology Jul 5, 2018
OBJECTIVES: In the postneoadjuvant chemotherapy (NAC) setting, conventional radiographic complete response (rCR) is a poor predictor of pathologic complete response (pCR) of the axilla. We developed a convolutional neural network (CNN) algorithm to b...
Chemotherapy, Adjuvant Humans Carcinoma, Lobular Neural Networks, Computer Algorithms Neoplasm Invasiveness Young Adult Axilla Adult Receptor, ErbB-2 Survival Rate Carcinoma, Ductal, Breast Breast Neoplasms Receptors, Estrogen Biomarkers, Tumor ROC Curve Middle Aged Prognosis Antineoplastic Combined Chemotherapy Protocols Retrospective Studies Neoadjuvant Therapy Female Follow-Up Studies Aged Magnetic Resonance Imaging Aged, 80 and over
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Robot-assisted transaxillary thyroidectomy: surgical technique.

European annals of otorhinolaryngology, head and neck diseases May 13, 2015
Robot-assisted transaxillary thyroid surgery avoids the need for a neck incision. It consists of thyroid lobectomy and isthmectomy for moderately large unilateral benign nodules. The surgical imperatives are the same as for conventional surgery, but ...
Patient Selection Patient Satisfaction Humans Thyroid Neoplasms Thyroid Diseases Treatment Outcome Thyroidectomy Axilla Robotics Feasibility Studies
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Wearable device for axillary lymph node screening in breast cancer based on infrared thermography and artificial intelligence.

Breast cancer research : BCR Jun 12, 2025
BACKGROUND: Breast cancer (BC) is the most prevalent cancer among women worldwide, and patients with metastasis to axillary lymph nodes (ALN) experience significantly lower survival rates. Current imaging-based screening methods often suffer from low...
Humans Wearable Electronic Devices Artificial Intelligence Lymph Nodes Lymphatic Metastasis Female Early Detection of Cancer Aged Axilla Adult Thermography Breast Neoplasms Middle Aged
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Ultrasound-based deep learning radiomics for enhanced axillary lymph node metastasis assessment: a multicenter study.

The oncologist May 8, 2025
BACKGROUND: Accurate preoperative assessment of axillary lymph node metastasis (ALNM) in breast cancer is crucial for guiding treatment decisions. This study aimed to develop a deep-learning radiomics model for assessing ALNM and to evaluate its impa...
Lymphatic Metastasis Axilla Software Validation Radiomics Middle Aged Deep Learning Ultrasonography Lymph Nodes Humans Prospective Studies Female Aged Adult Breast Neoplasms
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