AIMC Topic: Neoplasm Staging

Clear Filters Showing 371 to 380 of 569 articles

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...
Breast Neoplasms Biomarkers, Tumor Middle Aged Risk Assessment Retrospective Studies Neoplasm Invasiveness Republic of Korea Female Decision Making Aged Predictive Value of Tests Adult Neoplasm Staging Neoplasm Grading Humans Machine Learning 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 Female Neoplasm Staging Breast Feasibility Studies Receptor, ErbB-2 Mastectomy, Segmental Triple Negative Breast Neoplasms Antineoplastic Combined Chemotherapy Protocols 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.
Colorectal Neoplasms Deep Learning ROC Curve Decision Support Systems, Clinical Area Under Curve Humans Neural Networks, Computer Machine Learning Neoplasm Staging 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...
Meningeal Neoplasms Diffusion Magnetic Resonance Imaging Male Middle Aged Humans Decision Trees Machine Learning Neoplasm Staging Female Meningioma
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...
Tumor Burden Immunohistochemistry Chemotherapy, Adjuvant Biomarkers, Tumor Male Middle Aged ROC Curve Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Support Vector Machine Neoplasm Staging Neoplasm Grading Survival Analysis Humans Prognosis Female Aged Stomach Neoplasms
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 ...
Risk Assessment Neoplasms Machine Learning Diagnosis, Computer-Assisted Humans Decision Support Techniques Nomograms Electronic Health Records Early Detection of Cancer Clinical Decision-Making Decision Trees Risk Factors Data Interpretation, Statistical Neoplasm Staging Data Mining Recurrence
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)...
Neoplasm Staging Linear Models Postoperative Period Normal Distribution Middle Aged Quality of Life Liver Neoplasms Carcinoma, Hepatocellular Support Vector Machine Prospective Studies Female Aged Male Humans Neural Networks, Computer
View on PubMed DOI

Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer.

BMC cancer May 30, 2018
BACKGROUND: Gene-expression companion diagnostic tests, such as the Oncotype DX test, assess the risk of early stage Estrogen receptor (ER) positive (+) breast cancers, and guide clinicians in the decision of whether or not to use chemotherapy. Howev...
Supervised Machine Learning Cell Nucleus Receptors, Estrogen ROC Curve Image Processing, Computer-Assisted Staining and Labeling Predictive Value of Tests Principal Component Analysis Neoplasm Staging Genetic Testing Breast Models, Biological Aged Young Adult Adult Breast Neoplasms Middle Aged Humans Prognosis Female Risk Factors
View on PubMed DOI

High-Grade Serous Ovarian Cancer: Use of Machine Learning to Predict Abdominopelvic Recurrence on CT on the Basis of Serial Cancer Antigen 125 Levels.

Journal of the American College of Radiology : JACR May 19, 2018
PURPOSE: The aim of this study was to use machine learning to predict abdominal recurrence on CT on the basis of serial cancer antigen 125 (CA125) levels in patients with advanced high-grade serous ovarian cancer on surveillance.
Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Risk Factors Humans Neoplasm Recurrence, Local CA-125 Antigen Cystadenocarcinoma, Serous Biomarkers, Tumor Middle Aged Ovarian Neoplasms Predictive Value of Tests Neoplasm Staging
View on PubMed DOI
Popular Topics
Recent Journals