AIMC Topic: Lymphatic Metastasis

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Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.

Cancer imaging : the official publication of the International Cancer Imaging Society Apr 25, 2020
BACKGROUND: Preoperative detection of lymph node (LN) metastasis is critical for planning treatments in colon cancer (CC). The clinical diagnostic criteria based on the size of the LNs are not sensitive to determine metastasis using CT images. In thi...
Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Adult Sensitivity and Specificity Male Pilot Projects Middle Aged Lymphatic Metastasis Colonic Neoplasms Preoperative Period
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Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study.

Annals of oncology : official journal of the European Society for Medical Oncology Apr 15, 2020
BACKGROUND: Preoperative evaluation of the number of lymph node metastasis (LNM) is the basis of individual treatment of locally advanced gastric cancer (LAGC). However, the routinely used preoperative determination method is not accurate enough.
Deep Learning Humans Stomach Neoplasms China Nomograms Lymphatic Metastasis Italy
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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...
Lymph Node Excision Axilla Regression Analysis Breast Tumor Burden Carcinoma, Ductal, Breast Sentinel Lymph Node Biopsy, Fine-Needle Sentinel Lymph Node Biopsy Logistic Models Lymph Nodes Nomograms Adult Humans Lymphatic Metastasis Breast Neoplasms Neoplasm Invasiveness Machine Learning Middle Aged Retrospective Studies ROC Curve Female Aged Aged, 80 and over
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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...
Lymph Node Excision Prospective Studies Axilla Prognosis Neoplasm Staging Female Reference Standards ROC Curve Adult Breast Humans Aged Mastectomy Preoperative Period Aged, 80 and over Breast Neoplasms Image Processing, Computer-Assisted Elasticity Imaging Techniques Middle Aged Lymph Nodes Deep Learning Lymphatic Metastasis Ultrasonography
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Prostate Cancer Nodal Staging: Using Deep Learning to Predict Ga-PSMA-Positivity from CT Imaging Alone.

Scientific reports Feb 25, 2020
Lymphatic spread determines treatment decisions in prostate cancer (PCa) patients. 68Ga-PSMA-PET/CT can be performed, although cost remains high and availability is limited. Therefore, computed tomography (CT) continues to be the most used modality f...
Male Deep Learning Lymphatic Metastasis Membrane Glycoproteins Positron Emission Tomography Computed Tomography Humans Retrospective Studies Tomography, X-Ray Computed Aged Prostatic Neoplasms Organometallic Compounds Gallium Radioisotopes Gallium Isotopes
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Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training.

European radiology Feb 17, 2020
PURPOSE: This study aimed to validate a deep learning model's diagnostic performance in using computed tomography (CT) to diagnose cervical lymph node metastasis (LNM) from thyroid cancer in a large clinical cohort and to evaluate the model's clinica...
Humans Artificial Intelligence Radiology Education, Medical, Graduate Thyroid Neoplasms Algorithms Multidetector Computed Tomography ROC Curve Diagnosis, Computer-Assisted Internship and Residency Lymph Nodes Deep Learning Neck Cohort Studies Lymphatic Metastasis
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Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.

European radiology Jan 17, 2020
OBJECTIVES: To build a dual-energy CT (DECT)-based deep learning radiomics nomogram for lymph node metastasis (LNM) prediction in gastric cancer.
Middle Aged Deep Learning Lymph Nodes Nomograms Adenocarcinoma Lymphatic Metastasis Neoplasm Staging Humans Aged Aged, 80 and over Prognosis Adult Retrospective Studies Stomach Neoplasms Tomography, X-Ray Computed Male Female
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Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal lymph node dissection.

European radiology Dec 11, 2019
OBJECTIVES: To evaluate whether a computed tomography (CT) radiomics-based machine learning classifier can predict histopathology of lymph nodes (LNs) after post-chemotherapy LN dissection (pcRPLND) in patients with metastatic non-seminomatous testic...
Computational Biology Reproducibility of Results Humans Orchiectomy Lymph Nodes Machine Learning Young Adult Lymph Node Excision Lymphatic Metastasis Retrospective Studies Adult Neoplasm Staging Testicular Neoplasms Tomography, X-Ray Computed Male Retroperitoneal Space Middle Aged Neoplasms, Germ Cell and Embryonal
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Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Dec 9, 2019
PURPOSE: Extranodal extension (ENE) is a well-established poor prognosticator and an indication for adjuvant treatment escalation in patients with head and neck squamous cell carcinoma (HNSCC). Identification of ENE on pretreatment imaging represents...
Humans Tomography, X-Ray Computed Head and Neck Neoplasms Reproducibility of Results Lymphatic Metastasis Deep Learning Neoplasm Staging ROC Curve Extranodal Extension Lymph Nodes Squamous Cell Carcinoma of Head and Neck
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Deep Learning Signature Based on Staging CT for Preoperative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer.

Academic radiology Dec 7, 2019
RATIONALE AND OBJECTIVES: To evaluate the noninvasive predictive performance of deep learning features based on staging CT for sentinel lymph node (SLN) metastasis of breast cancer.
Lymph Nodes Lymphatic Metastasis Sentinel Lymph Node Biopsy Humans Tomography, X-Ray Computed Breast Neoplasms Deep Learning
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