Artificial Intelligence in Head and Neck Surgery

J Oliver, R Alapati, J Lee, A Bur - Otolaryngologic Clinics of North …, 2024 - oto.theclinics.com
Artificial intelligence (AI) is a rapidly expanding field of computer and data science
encompassing a wide range of technologies that aim to emulate the decisionmaking …

Current role of delta radiomics in head and neck oncology

DC Marcu, C Grava, LG Marcu - International Journal of Molecular …, 2023 - mdpi.com
The latest developments in the management of head and neck cancer show an increasing
trend in the implementation of novel approaches using artificial intelligence for better patient …

Predicting severe radiation-induced oral mucositis in head and neck cancer patients using integrated baseline CT radiomic, dosimetry, and clinical features: A …

R Agheli, Z Siavashpour, R Reiazi, S Azghandi… - Heliyon, 2024 - cell.com
Purpose To establish the early prediction models of radiation-induced oral mucositis (RIOM)
based on baseline CT-based radiomic features (RFs), dosimetric data, and clinical features …

Magnetic resonance imaging in naso-oropharyngeal carcinoma: role of texture analysis in the assessment of response to radiochemotherapy, a preliminary study

E Bicci, C Nardi, L Calamandrei, E Barcali… - La radiologia …, 2023 - Springer
Objective Identifying MRI texture parameters able to distinguish inflammation, fibrosis, and
residual cancer in patients with naso-oropharynx carcinoma after radiochemotherapy (RT …

An anatomy-aware framework for automatic segmentation of parotid tumor from multimodal MRI

Y Gao, Y Dai, F Liu, W Chen, L Shi - Computers in Biology and Medicine, 2023 - Elsevier
Abstract Magnetic Resonance Imaging (MRI) plays an important role in diagnosing the
parotid tumor, where accurate segmentation of tumors is highly desired for determining …

Morphological, functional and texture analysis magnetic resonance imaging features in the assessment of radiotherapy-induced xerostomia in oropharyngeal cancer

L Calamandrei, L Mariotti, E Bicci, L Calistri, E Barcali… - Applied sciences, 2023 - mdpi.com
The aim of this single-center, observational, retrospective study was to investigate magnetic
resonance imaging (MRI) biomarkers for the assessment of radiotherapy (RT)-induced …

Sub-regional analysis of the parotid glands: model development for predicting late xerostomia with radiomics features in head and neck cancer patients

T Berger, DJ Noble, Z Yang, LEA Shelley… - Acta …, 2023 - Taylor & Francis
Background The irradiation of sub-regions of the parotid has been linked to xerostomia
development in patients with head and neck cancer (HNC). In this study, we compared the …

A Potential Radiomics–Clinical Model for Predicting Failure of Lymph Node Control after Definite Radiotherapy in Locally Advanced Head and Neck Cancer

S Lee, S Park, CH Rim, YH Lee, SY Kwon, KH Oh… - Medicina, 2024 - mdpi.com
Background and Objectives: To optimally predict lymph node (LN) failure after definite
radiotherapy (RT) in head and neck cancer (HNC) with LN metastases, this study examined …

[HTML][HTML] Assessing the generalisability of radiomics features previously identified as predictive of radiation-induced sticky saliva and xerostomia

T Berger, DJ Noble, Z Yang, LEA Shelley… - Physics and Imaging in …, 2023 - Elsevier
Background and purpose While core to the scientific approach, reproducibility of
experimental results is challenging in radiomics studies. A recent publication identified …

Evaluation of machine learning models for predicting xerostomia in adults with head and neck cancer during proton and heavy ion radiotherapy

L Zhang, Z Zhang, Y Wang, Y Zhu, Z Wang… - Radiotherapy and …, 2025 - Elsevier
Background and purpose Few studies have examined the factors associated with
xerostomia during proton and carbon ion radiotherapy for head and neck cancer (HNC) …