AIMC Topic: Nasopharyngeal Neoplasms

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Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma.

Radiology
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...

Development and validation of an endoscopic images-based deep learning model for detection with nasopharyngeal malignancies.

Cancer communications (London, England)
BACKGROUND: Due to the occult anatomic location of the nasopharynx and frequent presence of adenoid hyperplasia, the positive rate for malignancy identification during biopsy is low, thus leading to delayed or missed diagnosis for nasopharyngeal mali...

Survey on deep learning for radiotherapy.

Computers in biology and medicine
More than 50% of cancer patients are treated with radiotherapy, either exclusively or in combination with other methods. The planning and delivery of radiotherapy treatment is a complex process, but can now be greatly facilitated by artificial intell...

Comparison of Planning Quality and Efficiency Between Conventional and Knowledge-based Algorithms in Nasopharyngeal Cancer Patients Using Intensity Modulated Radiation Therapy.

International journal of radiation oncology, biology, physics
PURPOSE: Intensity modulated radiation therapy (IMRT) is widely used to achieve a highly conformal dose and improve treatment outcome. However, plan quality and planning time are institute and planner dependent, and no standardized tool exists to rec...

Predicting high lymph node positivity risk factors in nasopharyngeal carcinoma patients: A multi-model approach.

Medicine
Identifying patients at high risk of an elevated lymph node ratio (LNR) is critical for optimizing the management of nasopharyngeal carcinoma (NPC), as LNR, defined as the ratio of metastatic to examined lymph nodes, serves as a key prognostic indica...

Deciphering the metabolic-epigenetic-immune crosstalk in Epstein-Barr virus-positive nasopharyngeal carcinoma: mechanisms and novel therapeutic frontiers.

International immunopharmacology
Epstein-Barr Virus (EBV) is the first tumor virus discovered in humans, which is closely related to the occurrence of a variety of malignant tumors, especially Nasopharyngeal Carcinoma (NPC). Epstein-Barr Virus (EBV)-associated NPC accounts for appro...

Improved two-view interactional fuzzy learning based on mutual-rectification and knowledge-mergence.

Neural networks : the official journal of the International Neural Network Society
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...

Deep learning dosiomics for the pretreatment prediction of radiation dermatitis in nasopharyngeal carcinoma patients treated with radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
PURPOSE: To develop a combined dosiomics and deep learning (DL) model for predicting radiation dermatitis (RD) of grade ≥ 2 in patients with nasopharyngeal carcinoma (NPC) after radiation therapy (RT) based on radiation dose distribution.