AIMC Topic: Nasopharyngeal Carcinoma
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Future of Radiotherapy in Nasopharyngeal Carcinoma.
The British journal of radiology
Jul 9, 2019
Nasopharyngeal carcinoma (NPC) is a malignancy with unique clinical biological profiles such as associated Epstein-Barr virus infection and high radiosensitivity. Radiotherapy has long been recognized as the mainstay for the treatment of NPC. However...
A deep survival analysis method based on ranking.
Artificial intelligence in medicine
Jun 6, 2019
Survival analyses of populations and the establishment of prognoses for individual patients are important activities in the practice of medicine. Standard survival models, such as the Cox proportional hazards model, require extensive feature engineer...
Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma.
Clinical cancer research : an official journal of the American Association for Cancer Research
Apr 11, 2019
PURPOSE: We aimed to evaluate the value of deep learning on positron emission tomography with computed tomography (PET/CT)-based radiomics for individual induction chemotherapy (IC) in advanced nasopharyngeal carcinoma (NPC).
Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma.
Radiology
Mar 26, 2019
Background Nasopharyngeal carcinoma (NPC) may be cured with radiation therapy. Tumor proximity to critical structures demands accuracy in tumor delineation to avoid toxicities from radiation therapy; however, tumor target contouring for head and neck...
Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma.
Cancer imaging : the official publication of the International Cancer Imaging Society
Mar 25, 2019
BACKGROUND: The purpose/aim of this study was to 1) use magnetic resonance diffusion tensor imaging (DTI), fibre bundle/tract-based spatial statistics (TBSS) and machine learning methods to study changes in the white matter (WM) structure and whole b...
Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning.
Physics in medicine and biology
Jan 8, 2019
Multi-modality examinations have been extensively applied in current clinical cancer management. Leveraging multi-modality medical images can be highly beneficial for automated tumor segmentation as they provide complementary information that could m...
Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning.
European radiology
Oct 9, 2018
OBJECTIVE: Accurate detection and segmentation of organs at risks (OARs) in CT image is the key step for efficient planning of radiation therapy for nasopharyngeal carcinoma (NPC) treatment. We develop a fully automated deep-learning-based method (te...
Prognostic values of the integrated model incorporating the volume of metastatic regional cervical lymph node and pretreatment serum Epstein-Barr virus DNA copy number in predicting distant metastasis in patients with N1 nasopharyngeal carcinoma.
Chinese journal of cancer
Dec 29, 2017
BACKGROUND: According to the 7th edition of the American Joint Committee on Cancer (AJCC) staging system, over 50% of patients with nasopharyngeal carcinoma (NPC) have N1 disease at initial diagnosis. However, patients with N1 NPC are relatively unde...
Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma.
Cancer letters
Jun 10, 2017
We aimed to identify optimal machine-learning methods for radiomics-based prediction of local failure and distant failure in advanced nasopharyngeal carcinoma (NPC). We enrolled 110 patients with advanced NPC. A total of 970 radiomic features were ex...
Support Vector Machine
Nasopharyngeal Carcinoma
Humans
High-Throughput Screening Assays
Magnetic Resonance Imaging
Image Interpretation, Computer-Assisted
Decision Support Techniques
Nasopharyngeal Neoplasms
Predictive Value of Tests
Linear Models
Reproducibility of Results
Area Under Curve
Treatment Failure
Risk Factors
Carcinoma
Risk Assessment
Diagnosis, Computer-Assisted
ROC Curve
Improved two-view interactional fuzzy learning based on mutual-rectification and knowledge-mergence.
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Nasopharyngeal carcinoma (NPC) is a malignant tumor that originates from the back of the nasal canal from above the soft palate to the upper larynx. Because the nasopharyngeal location is deeply hidden, it is often difficult for a single imaging mean...
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