Modern radiotherapy for head and neck cancer
Radiation therapy (RT) plays a key role in curative-intent treatments for head and neck
cancers. Its use is indicated as a sole therapy in early stage tumors or in combination with …
cancers. Its use is indicated as a sole therapy in early stage tumors or in combination with …
Recent advances of PET imaging in clinical radiation oncology
Radiotherapy and radiation oncology play a key role in the clinical management of patients
suffering from oncological diseases. In clinical routine, anatomic imaging such as contrast …
suffering from oncological diseases. In clinical routine, anatomic imaging such as contrast …
[HTML][HTML] Application of radiomics and machine learning in head and neck cancers
Z Peng, Y Wang, Y Wang, S Jiang, R Fan… - … journal of biological …, 2021 - ncbi.nlm.nih.gov
With the continuous development of medical image informatics technology, more and more
high-throughput quantitative data could be extracted from digital medical images, which has …
high-throughput quantitative data could be extracted from digital medical images, which has …
Applications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas
SP Haider, B Burtness, WG Yarbrough… - Cancers of the head & …, 2020 - Springer
Recent advancements in computational power, machine learning, and artificial intelligence
technology have enabled automated evaluation of medical images to generate quantitative …
technology have enabled automated evaluation of medical images to generate quantitative …
Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of …
Purpose Biomedical data frequently contain imbalance characteristics which make
achieving good predictive performance with data-driven machine learning approaches a …
achieving good predictive performance with data-driven machine learning approaches a …
Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT-and PET-imaged head and neck cancer patients
Radiomics studies require many patients in order to power them, thus patients are often
combined from different institutions and using different imaging protocols. Various studies …
combined from different institutions and using different imaging protocols. Various studies …
A systematic review of PET textural analysis and radiomics in cancer
M Piñeiro-Fiel, A Moscoso, V Pubul, Á Ruibal… - Diagnostics, 2021 - mdpi.com
Background: Although many works have supported the utility of PET radiomics, several
authors have raised concerns over the robustness and replicability of the results. This study …
authors have raised concerns over the robustness and replicability of the results. This study …
Radiomics in oncological PET imaging: a systematic review—Part 1, Supradiaphragmatic cancers
Radiomics is an upcoming field in nuclear oncology, both promising and technically
challenging. To summarize the already undertaken work on supradiaphragmatic neoplasia …
challenging. To summarize the already undertaken work on supradiaphragmatic neoplasia …
Development and validation of an 18F-FDG PET radiomic model for prognosis prediction in patients with nasal-type extranodal natural killer/T cell lymphoma
H Wang, S Zhao, L Li, R Tian - European Radiology, 2020 - Springer
Objectives To identify an 18 F-fluorodeoxyglucose (18 F-FDG) positron emission
tomography (PET) radiomics-based model for predicting progression-free survival (PFS) and …
tomography (PET) radiomics-based model for predicting progression-free survival (PFS) and …
[HTML][HTML] Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of …
SP Haider, K Sharaf, T Zeevi, P Baumeister… - Translational …, 2021 - Elsevier
Locoregional failure remains a therapeutic challenge in oropharyngeal squamous cell
carcinoma (OPSCC). We aimed to devise novel objective imaging biomarkers for prediction …
carcinoma (OPSCC). We aimed to devise novel objective imaging biomarkers for prediction …