AIMC Topic: Axilla

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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...
Humans Retrospective Studies Female Aged Young Adult Image Processing, Computer-Assisted Computational Biology Lymph Nodes Lymphatic Metastasis Axilla Multicenter Studies as Topic Adult Breast Neoplasms Middle Aged Deep Learning Ultrasonography ROC Curve
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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...
Body Image Thyroid Gland Thyroidectomy Thyroid Neoplasms Axilla Humans Robotics Female Infant, Newborn Adolescent
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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...
Nomograms Lymphatic Metastasis Neoplasm Invasiveness Lymph Node Excision Axilla Regression Analysis Breast Neoplasms Middle Aged ROC Curve Logistic Models Lymph Nodes Sentinel Lymph Node Biopsy Breast Tumor Burden Carcinoma, Ductal, Breast Sentinel Lymph Node Biopsy, Fine-Needle Humans Machine Learning Retrospective Studies Female Aged Aged, 80 and over Adult
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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 Prospective Studies Prognosis Female Aged Axilla Neoplasm Staging Breast Mastectomy Ultrasonography Reference Standards ROC Curve Preoperative Period Image Processing, Computer-Assisted Elasticity Imaging Techniques Lymph Nodes Lymphatic Metastasis Lymph Node Excision Aged, 80 and over Adult Breast Neoplasms Middle Aged Deep Learning
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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...
Feasibility Studies Radiopharmaceuticals Positron-Emission Tomography ROC Curve Datasets as Topic Humans Sentinel Lymph Node Image Processing, Computer-Assisted Fluorodeoxyglucose F18 Neural Networks, Computer Lymphatic Metastasis Female Magnetic Resonance Imaging Reproducibility of Results Axilla Breast Neoplasms Anatomic Landmarks
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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...
Linear Models Receptors, Estrogen Sentinel Lymph Node Biopsy Carcinoma, Lobular Lymph Nodes Lymphatic Metastasis Axilla Aged, 80 and over Humans Area Under Curve Young Adult Neural Networks, Computer Tumor Burden Adult Retrospective Studies Neovascularization, Pathologic Breast Neoplasms Female Middle Aged Aged
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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...
Humans Retrospective Studies Axilla Operative Time Robotics Breast Propensity Score Postoperative Complications Carcinoma, Papillary Incidence Neck Dissection Thyroidectomy Thyroid Neoplasms Lymph Nodes Republic of Korea Lymphatic Metastasis Female Adult Male Middle Aged
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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...
Adult Male Thyroidectomy Thyroid Neoplasms Axilla Operative Time Robotics Laparoscopy Practice Guidelines as Topic Humans Retrospective Studies Female
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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...
Robotics Cicatrix Netherlands Thyroid Gland Time Factors Thyroidectomy Follow-Up Studies Axilla Humans
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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...
Survival Rate Breast Neoplasms Biomarkers, Tumor Middle Aged ROC Curve Antineoplastic Combined Chemotherapy Protocols Female Aged Aged, 80 and over Young Adult Adult Humans Receptor, ErbB-2 Neural Networks, Computer Neoadjuvant Therapy Carcinoma, Ductal, Breast Algorithms Follow-Up Studies Receptors, Estrogen Prognosis Magnetic Resonance Imaging Chemotherapy, Adjuvant Retrospective Studies Neoplasm Invasiveness Carcinoma, Lobular Axilla
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