Neoplasm Invasiveness

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Real-time assessment of video images for esophageal squamous cell carcinoma invasion depth using artificial intelligence.

Journal of gastroenterology Aug 10, 2020
BACKGROUND: Although optimal treatment of superficial esophageal squamous cell carcinoma (SCC) requires accurate evaluation of cancer invasion depth, the current process is rather subjective and may vary by observer. We, therefore, aimed to develop a...
Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Neoplasm Invasiveness Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Narrow Band Imaging Esophagoscopy Female Aged Sensitivity and Specificity Male Middle Aged
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Dr. Answer AI for prostate cancer: Clinical outcome prediction model and service.

PloS one Aug 5, 2020
OBJECTIVES: The importance of clinical outcome prediction models using artificial intelligence (AI) is being emphasized owing to the increasing necessity of developing a clinical decision support system (CDSS) employing AI. Therefore, in this study, ...
Decision Support Systems, Clinical Treatment Outcome Lymphatic Metastasis Neoplasm Invasiveness Prostatic Neoplasms Prostate-Specific Antigen Prostate Probability Prostatectomy Seminal Vesicles Aged Humans Aged, 80 and over Artificial Intelligence Adult Algorithms Male Prognosis Middle Aged
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Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides.

European urology Apr 27, 2020
BACKGROUND: Muscle-invasive bladder cancer (MIBC) is the second most common genitourinary malignancy, and is associated with high morbidity and mortality. Recently, molecular subtypes of MIBC have been identified, which have important clinical implic...
Forecasting Deep Learning Molecular Diagnostic Techniques Humans Urinary Bladder Neoplasms Neoplasm Invasiveness
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Deep learning for the determination of myometrial invasion depth and automatic lesion identification in endometrial cancer MR imaging: a preliminary study in a single institution.

European radiology Apr 26, 2020
OBJECTIVE: To determine the diagnostic performance of a deep learning (DL) model in evaluating myometrial invasion (MI) depth on T2-weighted imaging (T2WI)-based endometrial cancer (EC) MR imaging (ECM).
Myometrium Middle Aged Deep Learning Magnetic Resonance Imaging Neoplasm Invasiveness Endometrial Neoplasms Humans Algorithms Retrospective Studies Female
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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...
Neoplasm Invasiveness Lymph Node Excision Axilla Regression Analysis Breast Tumor Burden Carcinoma, Ductal, Breast Sentinel Lymph Node Biopsy, Fine-Needle Sentinel Lymph Node Biopsy ROC Curve Logistic Models Lymph Nodes Nomograms Lymphatic Metastasis Aged, 80 and over Adult Breast Neoplasms Middle Aged Humans Machine Learning Retrospective Studies Female Aged
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External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.

Thorax Mar 5, 2020
BACKGROUND: Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in clinical management. The use of artificial intelligence (AI) offers an opportunity to improve risk prediction. Here we compare the performance of an AI...
Prognosis Retrospective Studies Female Aged Adult Humans Neural Networks, Computer Artificial Intelligence Algorithms Databases, Factual ROC Curve Lung Neoplasms Multiple Pulmonary Nodules Early Detection of Cancer Neoplasm Invasiveness Male Middle Aged Risk Assessment Incidence Cohort Studies Predictive Value of Tests Area Under Curve Neoplasm Staging Cell Transformation, Neoplastic
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CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.

European radiology Feb 28, 2020
PURPOSE: Spread through air space (STAS) is a novel invasive pattern of lung adenocarcinoma and is also a risk factor for recurrence and worse prognosis of lung adenocarcinoma. The aims of this study are to develop and validate a computed tomography ...
Image Processing, Computer-Assisted Lung Neoplasms Logistic Models Neoplasm Invasiveness Neoplasm Recurrence, Local Risk Factors Adenocarcinoma of Lung Sensitivity and Specificity Male Middle Aged ROC Curve Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female
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Feature-shared adaptive-boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images.

Medical physics Feb 26, 2020
PURPOSE: In clinical practice, invasiveness is an important reference indicator for differentiating the malignant degree of subsolid pulmonary nodules. These nodules can be classified as atypical adenomatous hyperplasia (AAH), adenocarcinoma in situ ...
Humans Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Neoplasm Invasiveness
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Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram.

European radiology Feb 17, 2020
PURPOSE: To develop and identify a MRI-based radiomics nomogram for the preoperative prediction of parametrial invasion (PMI) in patients with early-stage cervical cancer (ECC).
Humans Algorithms Retrospective Studies Female Neoplasm Grading Peritoneum Hysterectomy Informatics Diffusion Magnetic Resonance Imaging Reproducibility of Results Aged Adult Uterine Cervical Neoplasms Middle Aged Nomograms Support Vector Machine Age Factors Magnetic Resonance Imaging Neoplasm Invasiveness
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Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma.

Esophagus : official journal of the Japan Esophageal Society Jan 24, 2020
OBJECTIVES: In Japan, endoscopic resection (ER) is often used to treat esophageal squamous cell carcinoma (ESCC) when invasion depths are diagnosed as EP-SM1, whereas ESCC cases deeper than SM2 are treated by surgical operation or chemoradiotherapy. ...
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Reproducibility of Results Aged Aged, 80 and over Sensitivity and Specificity Male Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Female Japan Middle Aged Outcome Assessment, Health Care Deep Learning Esophageal Squamous Cell Carcinoma Neoplasm Invasiveness Preoperative Care Area Under Curve Endoscopic Mucosal Resection Esophageal Neoplasms
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