AIMC Topic: Axilla

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A Multicenter Cohort Study on Ultrasound-based Deep Learning Nomogram for Predicting Post-Neoadjuvant Chemotherapy Axillary Lymph Node Status in Breast Cancer Patients.

Academic radiology Oct 15, 2024
RATIONALE AND OBJECTIVES: The aim of this study was to evaluate the capability of an ultrasound (US)-based deep learning (DL) nomogram for predicting axillary lymph node (ALN) status after neoadjuvant chemotherapy (NAC) in breast cancer patients and ...
Retrospective Studies Female Aged Adult Breast Neoplasms Humans Nomograms Neoadjuvant Therapy Lymphatic Metastasis Axilla Predictive Value of Tests Middle Aged Ultrasonography, Mammary Deep Learning Cohort Studies Ultrasonography Lymph Nodes
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Individualized prediction of non-sentinel lymph node metastasis in Chinese breast cancer patients with ≥ 3 positive sentinel lymph nodes based on machine-learning algorithms.

BMC cancer Sep 2, 2024
BACKGROUND: Axillary lymph node dissection (ALND) is a standard procedure for early-stage breast cancer (BC) patients with three or more positive sentinel lymph nodes (SLNs). However, ALND can lead to significant postoperative complications without a...
Female Aged Adult Breast Neoplasms Middle Aged China Humans Machine Learning Algorithms Retrospective Studies East Asian People Sentinel Lymph Node Sentinel Lymph Node Biopsy ROC Curve Lymph Nodes Lymphatic Metastasis Lymph Node Excision Axilla
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An unsupervised learning model based on CT radiomics features accurately predicts axillary lymph node metastasis in breast cancer patients: diagnostic study.

International journal of surgery (London, England) Sep 1, 2024
BACKGROUND: The accuracy of traditional clinical methods for assessing the metastatic status of axillary lymph nodes (ALNs) is unsatisfactory. In this study, the authors propose the use of radiomic technology and three-dimensional (3D) visualization ...
Lymph Node Excision Axilla Unsupervised Machine Learning Predictive Value of Tests Tomography, X-Ray Computed Female Aged Adult Breast Neoplasms Radiomics Humans Middle Aged Retrospective Studies Imaging, Three-Dimensional Lymph Nodes Lymphatic Metastasis
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Ultrasound-Based Deep Learning Radiomics Nomogram for Tumor and Axillary Lymph Node Status Prediction After Neoadjuvant Chemotherapy.

Academic radiology Aug 24, 2024
RATIONALE AND OBJECTIVES: This study aims to explore the feasibility of the deep learning radiomics nomogram (DLRN) for predicting tumor status and axillary lymph node metastasis (ALNM) after neoadjuvant chemotherapy (NAC) in patients with breast can...
Chemotherapy, Adjuvant Breast Neoplasms Nomograms Radiomics Neoadjuvant Therapy Middle Aged Lymphatic Metastasis Deep Learning Humans Axilla Ultrasonography Ultrasonography, Mammary Retrospective Studies Lymph Nodes Female Aged Adult
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Assessing Axillary Lymph Node Burden and Prognosis in cT1-T2 Stage Breast Cancer Using Machine Learning Methods: A Retrospective Dual-Institutional MRI Study.

Journal of magnetic resonance imaging : JMRI Aug 22, 2024
BACKGROUND: Pathological axillary lymph node (pALN) burden is an important factor for treatment decision-making in clinical T1-T2 (cT1-T2) stage breast cancer. Preoperative assessment of the pALN burden and prognosis aids in the individualized select...
Female Magnetic Resonance Imaging Reproducibility of Results Humans Axilla Machine Learning Aged Adult Neoplasm Staging Prognosis Aged, 80 and over Breast Neoplasms Retrospective Studies Young Adult Middle Aged Lymph Nodes Lymphatic Metastasis
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Peritumoral edema enhances MRI-based deep learning radiomic model for axillary lymph node metastasis burden prediction in breast cancer.

Scientific reports Aug 14, 2024
To investigate whether peritumoral edema (PE) could enhance deep learning radiomic (DLR) model in predicting axillary lymph node metastasis (ALNM) burden in breast cancer. Invasive breast cancer patients with preoperative MRI were retrospectively enr...
Middle Aged Female Humans Aged Magnetic Resonance Imaging Deep Learning Retrospective Studies Adult Axilla ROC Curve Breast Neoplasms Edema Lymph Nodes Radiomics Lymphatic Metastasis
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Non-invasive prediction of axillary lymph node dissection exemption in breast cancer patients post-neoadjuvant therapy: A radiomics and deep learning analysis on longitudinal DCE-MRI data.

Breast (Edinburgh, Scotland) Aug 9, 2024
PURPOSE: In breast cancer (BC) patients with clinical axillary lymph node metastasis (cN+) undergoing neoadjuvant therapy (NAT), precise axillary lymph node (ALN) assessment dictates therapeutic strategy. There is a critical demand for a precise meth...
Contrast Media Magnetic Resonance Imaging Lymph Node Excision Axilla Predictive Value of Tests Humans Deep Learning Retrospective Studies Aged Lymph Nodes Female Neoadjuvant Therapy Adult Support Vector Machine Breast Neoplasms Lymphatic Metastasis Radiomics Middle Aged
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Preoperative Prediction of Axillary Lymph Node Metastasis in Patients With Breast Cancer Through Multimodal Deep Learning Based on Ultrasound and Magnetic Resonance Imaging Images.

Academic radiology Aug 5, 2024
RATIONALE AND OBJECTIVES: Deep learning can enhance the performance of multimodal image analysis, which is known for its noninvasive attributes and complementary efficacy, in predicting axillary lymph node (ALN) metastasis. Therefore, we established ...
Lymphatic Metastasis Magnetic Resonance Imaging Axilla Multimodal Imaging Predictive Value of Tests Breast Neoplasms Middle Aged Deep Learning Ultrasonography Lymph Nodes Ultrasonography, Mammary Humans Retrospective Studies Female Aged Adult
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Artificial intelligence assisted ultrasound for the non-invasive prediction of axillary lymph node metastasis in breast cancer.

BMC cancer Jul 29, 2024
PURPOSE: A practical noninvasive method is needed to identify lymph node (LN) status in breast cancer patients diagnosed with a suspicious axillary lymph node (ALN) at ultrasound but a negative clinical physical examination. To predict ALN metastasis...
Lymph Nodes Lymphatic Metastasis Axilla Predictive Value of Tests Humans Artificial Intelligence Sentinel Lymph Node Biopsy Neural Networks, Computer Breast Neoplasms Retrospective Studies Female Middle Aged Aged Deep Learning Adult Ultrasonography ROC Curve
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A cutting-edge deep learning-and-radiomics-based ultrasound nomogram for precise prediction of axillary lymph node metastasis in breast cancer patients ≥ 75 years.

Frontiers in endocrinology Jul 12, 2024
OBJECTIVE: The objective of this study was to develop a deep learning-and-radiomics-based ultrasound nomogram for the evaluation of axillary lymph node (ALN) metastasis risk in breast cancer patients ≥ 75 years.
Lymphatic Metastasis Radiomics Humans Axilla Sentinel Lymph Node Biopsy Female Deep Learning Aged Ultrasonography Aged, 80 and over Lymph Nodes Breast Neoplasms Nomograms
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