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Nasopharyngeal Neoplasms

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Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images.

Molecular imaging and biology Jun 1, 2020
PURPOSE: To identify optimal machine learning methods for radiomics-based differentiation of local recurrence versus inflammation from post-treatment nasopharyngeal positron emission tomography/X-ray computed tomography (PET/CT) images.
Inflammation Diagnosis, Differential ROC Curve Image Processing, Computer-Assisted Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Positron Emission Tomography Computed Tomography Neoplasm Recurrence, Local Algorithms Retrospective Studies Female Male Humans Machine Learning
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A case report on intensive, robot-assisted rehabilitation program for brainstem radionecrosis.

Medicine Mar 1, 2020
INTRODUCTION: Radiotherapy is a valid treatment option for nasopharyngeal carcinoma. However, complications can occur following irradiation of the closest anatomical structures, including brainstem radionecrosis (BRN). The rehabilitation is poorly de...
Middle Aged Magnetic Resonance Imaging Humans Male Radiation Injuries Nasopharyngeal Neoplasms Robotics Exercise Therapy Paresis Brain Stem
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Evaluation of Prognosis in Nasopharyngeal Cancer Using Machine Learning.

Technology in cancer research & treatment Jan 1, 2020
BACKGROUND AND AIM: Although the prognosis of nasopharyngeal cancer largely depends on a classification based on the tumor-lymph node metastasis staging system, patients at the same stage may have different clinical outcomes. This study aimed to eval...
Neoplasm Staging Neoplasm Grading Chemoradiotherapy Nasopharyngeal Neoplasms Follow-Up Studies Bayes Theorem Middle Aged Humans Neural Networks, Computer Machine Learning Algorithms Young Adult Female Survival Rate Adult Aged Prognosis Male Retrospective Studies
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The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods.

Technology in cancer research & treatment Jan 1, 2019
Radiotherapy is the main treatment strategy for nasopharyngeal carcinoma. A major factor affecting radiotherapy outcome is the accuracy of target delineation. Target delineation is time-consuming, and the results can vary depending on the experience ...
Nasopharyngeal Neoplasms Deep Learning Radiotherapy, Image-Guided Adolescent Organs at Risk Female Male Neoplasm Staging Radiotherapy Planning, Computer-Assisted Aged Middle Aged Neoplasm Grading Image Processing, Computer-Assisted Young Adult Humans Algorithms Models, Theoretical Adult Tomography, X-Ray Computed
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