AIMC Topic: Neoplasm Staging

Clear Filters Showing 331 to 340 of 529 articles

Disparities in the Treatment and Outcome of Stage I Non-Small-Cell Lung Cancer in the 21st Century.

Clinical lung cancer Nov 20, 2018
BACKGROUND: African American (AA) individuals are less likely to receive treatment and more likely to die from cancer compared with Caucasian (C) individuals. Recent advancements in surgery and radiation have improved outcomes in early stage non-smal...
Treatment Outcome Humans Aged, 80 and over Indians, North American Male Female Middle Aged Carcinoma, Non-Small-Cell Lung Risk Factors Lung Neoplasms Neoplasm Staging Aged United States Healthcare Disparities Survival Analysis History, 21st Century Black or African American
View on PubMed DOI

Convolutional Neural Networks Promising in Lung Cancer T-Parameter Assessment on Baseline FDG-PET/CT.

Contrast media & molecular imaging Oct 30, 2018
AIM: To develop an algorithm, based on convolutional neural network (CNN), for the classification of lung cancer lesions as T1-T2 or T3-T4 on staging fluorodeoxyglucose positron emission tomography (FDG-PET)/CT images.
Aged Aged, 80 and over Adult Humans Male Middle Aged Neural Networks, Computer Neoplasm Staging Algorithms Deep Learning Fluorodeoxyglucose F18 Retrospective Studies Lung Neoplasms Female Area Under Curve Positron Emission Tomography Computed Tomography
View on PubMed DOI

A predictive model for high/low risk group according to oncotype DX recurrence score using machine learning.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Oct 16, 2018
BACKGROUND: Oncotype DX(ODX) is a 21-gene breast cancer recurrence score(RS) assay that aids in decision-making for chemotherapy in early-stage hormone receptor-positive(HR+)breast cancer. We developed a prediction tool using machine learning for hig...
Biomarkers, Tumor Republic of Korea Decision Making Middle Aged Humans Female Predictive Value of Tests Machine Learning Aged Risk Assessment Neoplasm Staging Adult Retrospective Studies Neoplasm Invasiveness Neoplasm Grading Breast Neoplasms Patient Selection
View on PubMed DOI

Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set.

Breast cancer research and treatment Oct 16, 2018
PURPOSE: To determine whether a multivariate machine learning-based model using computer-extracted features of pre-treatment dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can predict pathologic complete response (pCR) to neoadjuvant ...
Aged Adult Middle Aged ROC Curve Image Processing, Computer-Assisted Humans Machine Learning Retrospective Studies Neoplasm Staging Female Breast Feasibility Studies Triple Negative Breast Neoplasms Receptor, ErbB-2 Antineoplastic Combined Chemotherapy Protocols Mastectomy, Segmental Treatment Outcome Neoadjuvant Therapy Magnetic Resonance Imaging
View on PubMed DOI

Endoscopic Diagnostic Support System for cT1b Colorectal Cancer Using Deep Learning.

Oncology Aug 21, 2018
OBJECTIVE: This study aimed to use convolutional neural network (CNN), a deep learning software, to assist in cT1b diagnosis.
Deep Learning ROC Curve Decision Support Systems, Clinical Area Under Curve Neoplasm Staging Humans Neural Networks, Computer Machine Learning Colorectal Neoplasms Colposcopy
View on PubMed DOI

The diagnostic value of texture analysis in predicting WHO grades of meningiomas based on ADC maps: an attempt using decision tree and decision forest.

European radiology Aug 7, 2018
OBJECTIVES: The preoperative prediction of the WHO grade of a meningioma is important for further treatment plans. This study aimed to assess whether texture analysis (TA) based on apparent diffusion coefficient (ADC) maps could non-invasively classi...
Middle Aged Decision Trees Neoplasm Staging Meningioma Meningeal Neoplasms Humans Machine Learning Female Male Diffusion Magnetic Resonance Imaging
View on PubMed DOI

Immunomarker Support Vector Machine Classifier for Prediction of Gastric Cancer Survival and Adjuvant Chemotherapeutic Benefit.

Clinical cancer research : an official journal of the American Association for Cancer Research Jul 24, 2018
Current tumor-node-metastasis (TNM) staging system cannot provide adequate information for prediction of prognosis and chemotherapeutic benefits. We constructed a classifier to predict prognosis and identify a subset of patients who can benefit from...
Immunohistochemistry Chemotherapy, Adjuvant Male Middle Aged ROC Curve Antineoplastic Combined Chemotherapy Protocols Prognosis Treatment Outcome Support Vector Machine Female Humans Neoplasm Staging Aged Stomach Neoplasms Biomarkers, Tumor Neoplasm Grading Survival Analysis Tumor Burden
View on PubMed DOI

A review of statistical and machine learning methods for modeling cancer risk using structured clinical data.

Artificial intelligence in medicine Jul 14, 2018
Advancements are constantly being made in oncology, improving prevention and treatment of cancers. To help reduce the impact and deadliness of cancers, they must be detected early. Additionally, there is a risk of cancers recurring after potentially ...
Neoplasms Diagnosis, Computer-Assisted Nomograms Early Detection of Cancer Decision Trees Data Interpretation, Statistical Neoplasm Staging Data Mining Recurrence Decision Support Techniques Electronic Health Records Clinical Decision-Making Risk Factors Risk Assessment Humans Machine Learning
View on PubMed DOI

Modeling the covariates effects on the hazard function by piecewise exponential artificial neural networks: an application to a controlled clinical trial on renal carcinoma.

BMC bioinformatics Jul 9, 2018
BACKGROUND: In exploring the time course of a disease to support or generate biological hypotheses, the shape of the hazard function provides relevant information. For long follow-ups the shape of hazard function may be complex, with the presence of ...
Humans Neural Networks, Computer Reproducibility of Results Lymph Nodes Regression Analysis Neoplasm Staging Models, Biological Kidney Neoplasms Controlled Clinical Trials as Topic
View on PubMed DOI

Comparison of Models for Predicting Quality of Life After Surgical Resection of Hepatocellular Carcinoma: a Prospective Study.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Jun 18, 2018
BACKGROUND: The essential issue of internal validity has not been adequately addressed in prediction models such as artificial neural network (ANN), support vector machine (SVM), Gaussian process regression (GPR), and multiple linear regression (MLR)...
Humans Linear Models Neural Networks, Computer Postoperative Period Quality of Life Normal Distribution Prospective Studies Liver Neoplasms Carcinoma, Hepatocellular Support Vector Machine Female Neoplasm Staging Aged Male Middle Aged
View on PubMed DOI
Popular Topics
Recent Journals