AIMC Topic: Nasopharyngeal Carcinoma
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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
Magnetic Resonance Imaging
Nasopharyngeal Carcinoma
Risk Factors
Humans
High-Throughput Screening Assays
Risk Assessment
Predictive Value of Tests
Nasopharyngeal Neoplasms
Decision Support Techniques
Diagnosis, Computer-Assisted
Area Under Curve
Image Interpretation, Computer-Assisted
Reproducibility of Results
ROC Curve
Carcinoma
Linear Models
Treatment Failure
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...
[A deep learning method for differentiating nasopharyngeal carcinoma and lymphoma based on MRI].
Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery
Jul 1, 2025
To development a deep learning（DL） model based on conventional MRI for automatic segmentation and differential diagnosis of nasopharyngeal carcinoma（NPC） and nasopharyngeal lymphoma（NPL）. The retrospective study included 142 patients with NPL and 292...
Transforming the management of radiotherapy-induced hypothyroidism in nasopharyngeal carcinoma through an Innovative individualized radiation dosage model: A multicenter retrospective analysis.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jul 1, 2025
PURPOSE: Current guidelines for thyroid radiation dose prescription lack uniformity and fail to consider the unique characteristics of individual patients. This study aimed to develop an individualized thyroid dosing regimen to enhance thyroid protec...
A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma.
Scientific reports
May 21, 2025
The radiological dosimetric parameters and clinical features were screened by machine learning to construct a prediction model for the short-term efficacy of locally advanced Nasopharyngeal Carcinoma (LANPC). Patients diagnosed with Nasopharyngeal Ca...
Deep learning MRI-based radiomic models for predicting recurrence in locally advanced nasopharyngeal carcinoma after neoadjuvant chemoradiotherapy: a multi-center study.
Clinical & experimental metastasis
May 15, 2025
Local recurrence and distant metastasis were a common manifestation of locoregionally advanced nasopharyngeal carcinoma (LA-NPC) after neoadjuvant chemoradiotherapy (NACT). To validate the clinical value of MRI radiomic models based on deep learning ...
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