AIMC Topic: Lymph Nodes

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Preoperative prediction model of lymph node metastasis in the inguinal and femoral region based on radiomics and artificial intelligence.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society Sep 2, 2024
OBJECTIVE: To predict preoperative inguinal lymph node metastasis in vulvar cancer patients using a machine learning model based on imaging features and clinical data from pelvic magnetic resonance imaging (MRI).
Lymphatic Metastasis Magnetic Resonance Imaging Inguinal Canal Vulvar Neoplasms Humans Artificial Intelligence Machine Learning Retrospective Studies Female Aged Adult Radiomics Middle Aged Lymph Nodes
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Single-cell and whole-transcriptome sequencing of lymph node metastasis-related gene signature: a large-scale pan-cancer cohort, machine learning and experimental study: Retraction.

International journal of surgery (London, England) Sep 1, 2024
Gene Expression Profiling Transcriptome Single-Cell Analysis Lymph Nodes Lymphatic Metastasis Humans Machine Learning Neoplasms
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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 ...
Retrospective Studies Tomography, X-Ray Computed Female Aged Lymphatic Metastasis Adult Lymph Node Excision Axilla Unsupervised Machine Learning Humans Predictive Value of Tests Breast Neoplasms Radiomics Middle Aged Imaging, Three-Dimensional Lymph Nodes
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Prediction model for lateral lymph node metastasis of papillary thyroid carcinoma in children and adolescents based on ultrasound imaging and clinical features: a retrospective study.

BMC medical imaging Aug 29, 2024
BACKGROUND: The presence of lateral lymph node metastases (LNM) in paediatric patients with papillary thyroid cancer (PTC) is an independent risk factor for recurrence. We aimed to identify risk factors and establish a prediction model for lateral LN...
Ultrasonography ROC Curve Lymph Nodes Lymphatic Metastasis Regression Analysis Predictive Value of Tests Area Under Curve Reference Values Thyroid Cancer, Papillary Predictive Learning Models Young Adult Male Risk Assessment Adolescent Thyroid Neoplasms Humans Retrospective Studies Female Risk Factors
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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...
Adult Breast Neoplasms Radiomics Middle Aged Deep Learning Humans Retrospective Studies Female Aged Axilla Ultrasonography, Mammary Chemotherapy, Adjuvant Ultrasonography Lymph Nodes Nomograms Neoadjuvant Therapy Lymphatic Metastasis
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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...
Middle Aged Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging Axilla Neoplasm Staging Aged Aged, 80 and over Young Adult Adult Breast Neoplasms Prognosis Retrospective Studies Female Reproducibility of Results Humans Machine Learning
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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...
Humans Retrospective Studies Female Aged Axilla Edema Deep Learning ROC Curve Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging Adult Breast Neoplasms Radiomics Middle Aged
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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...
Humans Retrospective Studies Female Aged Adult Breast Neoplasms Radiomics Middle Aged Predictive Value of Tests Lymphatic Metastasis Contrast Media Magnetic Resonance Imaging Lymph Node Excision Axilla Deep Learning Lymph Nodes Neoadjuvant Therapy Support Vector Machine
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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 ...
Multimodal Imaging Predictive Value of Tests Ultrasonography, Mammary Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging Axilla Humans Retrospective Studies Female Aged Adult Breast Neoplasms Middle Aged Deep Learning Ultrasonography
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MRI-based deep learning and radiomics for prediction of occult cervical lymph node metastasis and prognosis in early-stage oral and oropharyngeal squamous cell carcinoma: a diagnostic study.

International journal of surgery (London, England) Aug 1, 2024
INTRODUCTION: The incidence of occult cervical lymph node metastases (OCLNM) is reported to be 20-30% in early-stage oral cancer and oropharyngeal cancer. There is a lack of an accurate diagnostic method to predict occult lymph node metastasis and to...
Humans Prognosis Neck Lymphatic Metastasis Magnetic Resonance Imaging Neoplasm Staging Mouth Neoplasms Retrospective Studies Radiomics Deep Learning Lymph Nodes Squamous Cell Carcinoma of Head and Neck Oropharyngeal Neoplasms
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