Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives

NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

[HTML][HTML] Machine learning-based models for prediction of toxicity outcomes in radiotherapy

LJ Isaksson, M Pepa, M Zaffaroni, G Marvaso… - Frontiers in …, 2020 - frontiersin.org
In order to limit radiotherapy (RT)-related side effects, effective toxicity prediction and
assessment schemes are essential. In recent years, the growing interest toward artificial …

Dosiomics improves prediction of locoregional recurrence for intensity modulated radiotherapy treated head and neck cancer cases

A Wu, Y Li, M Qi, X Lu, Q Jia, F Guo, Z Dai, Y Liu… - Oral oncology, 2020 - Elsevier
Objectives To investigate whether dosiomics can benefit to IMRT treated patient's
locoregional recurrences (LR) prediction through a comparative study on prediction …

[HTML][HTML] Artificial intelligence to predict outcomes of head and neck radiotherapy

C Bang, G Bernard, WT Le, A Lalonde… - Clinical and …, 2023 - Elsevier
Head and neck radiotherapy induces important toxicity, and its efficacy and tolerance vary
widely across patients. Advancements in radiotherapy delivery techniques, along with the …

Artificial Intelligence in radiotherapy: state of the art and future directions

G Francolini, I Desideri, G Stocchi, V Salvestrini… - Medical Oncology, 2020 - Springer
Recent advances in computing capability allowed the development of sophisticated
predictive models to assess complex relationships within observational data, described as …

[HTML][HTML] Parotid gland stem cell sparing radiation therapy for patients with head and neck cancer: a double-blind randomized controlled trial

RJHM Steenbakkers, MI van Rijn–Dekker… - International Journal of …, 2022 - Elsevier
Purpose Radiation therapy for head and neck cancer frequently leads to salivary gland
damage and subsequent xerostomia. The radiation response of the parotid glands of rats …

Normal tissue complication probability (NTCP) models for modern radiation therapy

G Palma, S Monti, M Conson, R Pacelli, L Cella - Seminars in oncology, 2019 - Elsevier
Mathematical models of normal tissue complication probability (NTCP) able to robustly
predict radiation-induced morbidities (RIM) play an essential role in the identification of a …

Voxel-based analysis in radiation oncology: A methodological cookbook

G Palma, S Monti, L Cella - Physica Medica, 2020 - Elsevier
Recently, 2D or 3D methods for dose distribution analysis have been proposed as
evolutions of the Dose Volume Histogram (DVH) approaches. Those methods, collectively …

[HTML][HTML] Regional responses in radiation-induced normal tissue damage

DC Voshart, J Wiedemann, P van Luijk, L Barazzuol - Cancers, 2021 - mdpi.com
Simple Summary Side effects caused by the concomitant irradiation of normal tissue during
radiotherapy for cancer treatment can negatively affect the patient's quality of life and limit …

[HTML][HTML] Application of radiomics for the prediction of radiation-induced toxicity in the IMRT era: current state-of-the-art

I Desideri, M Loi, G Francolini, C Becherini, L Livi… - Frontiers in …, 2020 - frontiersin.org
Normal tissue complication probability (NTCP) models that were formulated in the
Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC) are one of the …