AIMC Topic: Neoplasm Staging

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Glioma stages prediction based on machine learning algorithm combined with protein-protein interaction networks.

Genomics May 29, 2019
BACKGROUND: Glioma is the most lethal nervous system cancer. Recent studies have made great efforts to study the occurrence and development of glioma, but the molecular mechanisms are still unclear. This study was designed to reveal the molecular mec...
Machine Learning Brain Neoplasms Glioma Gene Expression Neoplasm Staging Gene Ontology Protein Interaction Mapping
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Breast cancer outcome prediction with tumour tissue images and machine learning.

Breast cancer research and treatment May 22, 2019
PURPOSE: Recent advances in machine learning have enabled better understanding of large and complex visual data. Here, we aim to investigate patient outcome prediction with a machine learning method using only an image of tumour sample as an input.
Female Aged Aged, 80 and over Adult Breast Neoplasms Humans Machine Learning Prognosis Tumor Burden Neoplasm Staging Neoplasm Metastasis Neoplasm Grading Immunohistochemistry Workflow Kaplan-Meier Estimate Microscopy Survival Analysis Biomarkers, Tumor Middle Aged Image Processing, Computer-Assisted Follow-Up Studies
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Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis.

BMC cancer May 17, 2019
PURPOSE: To explore imaging biomarkers that can be used for diagnosis and prediction of pathologic stage in non-small cell lung cancer (NSCLC) using multiple machine learning algorithms based on CT image feature analysis.
Carcinoma, Non-Small-Cell Lung Humans Neoplasm Staging Machine Learning Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Female Male Lung Neoplasms
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Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning.

Cancer medicine May 10, 2019
To develop a deep learning system based on 3D convolutional neural networks (CNNs), and to automatically predict EGFR-mutant pulmonary adenocarcinoma in CT images. A dataset of 579 nodules with EGFR mutation status labels of mutant (Mut) or wild-type...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Female Reproducibility of Results Humans Neoplasm Staging Mutation ErbB Receptors Data Curation Adenocarcinoma of Lung Male Deep Learning ROC Curve Image Processing, Computer-Assisted Computational Biology
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Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 22, 2019
PURPOSE: Tumors are continuously evolving biological systems, and medical imaging is uniquely positioned to monitor changes throughout treatment. Although qualitatively tracking lesions over space and time may be trivial, the development of clinicall...
Neoplasm Staging Positron-Emission Tomography Neoplasm Metastasis Kaplan-Meier Estimate Image Processing, Computer-Assisted Lung Neoplasms Treatment Outcome Carcinoma, Non-Small-Cell Lung Algorithms Prognosis Tomography, X-Ray Computed Deep Learning Humans Time Factors Neural Networks, Computer
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Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning.

European radiology Apr 12, 2019
OBJECTIVES: This study was conducted in order to evaluate a novel risk stratification model using dual-energy CT (DECT) texture analysis of head and neck squamous cell carcinoma (HNSCC) with machine learning to (1) predict associated cervical lymphad...
Machine Learning Female Male Lymph Nodes Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Neck Lymphatic Metastasis Neoplasm Staging Multidetector Computed Tomography Humans
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Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 11, 2019
PURPOSE: We aimed to develop an ovarian cancer-specific predictive framework for clinical stage, histotype, residual tumor burden, and prognosis using machine learning methods based on multiple biomarkers.
Neoplasm Grading Carcinoma, Ovarian Epithelial Preoperative Care Young Adult Adult Survival Rate Biomarkers, Tumor Algorithms Humans Middle Aged ROC Curve Prognosis Neural Networks, Computer Support Vector Machine Female Artificial Intelligence Ovarian Neoplasms Aged Machine Learning Bayes Theorem Aged, 80 and over Neoplasm Staging
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Utilization of Minimally Invasive Thymectomy and Margin-Negative Resection for Early-Stage Thymoma.

The Annals of thoracic surgery Apr 3, 2019
BACKGROUND: Minimally invasive thymectomy (MIT) has demonstrated improved short-term outcomes compared with open thymectomy (OT). Although adoption of MIT for thymoma is increasing, oncologic outcomes have not been well characterized.
Margins of Excision Thymectomy Thymoma Thymus Neoplasms Adult Survival Rate Male Middle Aged Adolescent United States Follow-Up Studies Robotics Neoplasm Staging Retrospective Studies Female Aged Aged, 80 and over Young Adult Humans
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Computed Tomography-Based Radiomic Features Could Potentially Predict Microsatellite Instability Status in Stage II Colorectal Cancer: A Preliminary Study.

Academic radiology Mar 28, 2019
RATIONALE AND OBJECTIVES: To investigate whether quantitative radiomics features extracted from computed tomography (CT) can predict microsatellite instability (MSI) status in an Asian cohort of patients with stage Ⅱ colorectal cancer (CRC).
Female ROC Curve Humans Adult Predictive Value of Tests Colorectal Neoplasms Machine Learning Neoplasm Staging Male Retrospective Studies Microsatellite Instability Middle Aged Tomography, X-Ray Computed
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Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning.

The European respiratory journal Mar 28, 2019
Epidermal growth factor receptor (EGFR) genotyping is critical for treatment guidelines such as the use of tyrosine kinase inhibitors in lung adenocarcinoma. Conventional identification of EGFR genotype requires biopsy and sequence testing which is i...
Deep Learning ROC Curve Image Processing, Computer-Assisted Computational Biology Neoplasm Staging Reproducibility of Results Aged Male Middle Aged Mutation ErbB Receptors Adenocarcinoma of Lung Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female
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