[HTML][HTML] Radiomics and radiogenomics in head and neck squamous cell carcinoma: Potential contribution to patient management and challenges
G Bruixola, E Remacha, A Jiménez-Pastor… - Cancer Treatment …, 2021 - Elsevier
The application of imaging biomarkers in oncology is still in its infancy, but with the
expansion of radiomics and radiogenomics a revolution is expected in this field. This may be …
expansion of radiomics and radiogenomics a revolution is expected in this field. This may be …
[HTML][HTML] Machine learning in dental, oral and craniofacial imaging: a review of recent progress
R Ren, H Luo, C Su, Y Yao, W Liao - PeerJ, 2021 - peerj.com
Artificial intelligence has been emerging as an increasingly important aspect of our daily
lives and is widely applied in medical science. One major application of artificial intelligence …
lives and is widely applied in medical science. One major application of artificial intelligence …
[HTML][HTML] Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status
We investigated the ability of machine-learning classifiers on radiomics from pre-treatment
multiparametric magnetic resonance imaging (MRI) to accurately predict human …
multiparametric magnetic resonance imaging (MRI) to accurately predict human …
PET/CT radiomics signature of human papilloma virus association in oropharyngeal squamous cell carcinoma
SP Haider, A Mahajan, T Zeevi, P Baumeister… - European Journal of …, 2020 - Springer
Purpose To devise, validate, and externally test PET/CT radiomics signatures for human
papillomavirus (HPV) association in primary tumors and metastatic cervical lymph nodes of …
papillomavirus (HPV) association in primary tumors and metastatic cervical lymph nodes of …
Machine learning–based MRI texture analysis to predict the histologic grade of oral squamous cell carcinoma
J Ren, M Qi, Y Yuan, S Duan… - American Journal of …, 2020 - Am Roentgen Ray Soc
OBJECTIVE. This study aimed to explore the performance of machine learning (ML)-based
MRI texture analysis in discriminating between well-differentiated (WD) oral squamous cell …
MRI texture analysis in discriminating between well-differentiated (WD) oral squamous cell …
[HTML][HTML] Advances in imaging for HPV-related oropharyngeal cancer: applications to radiation oncology
TC Salzillo, N Taku, KA Wahid, BA McDonald… - Seminars in radiation …, 2021 - Elsevier
While there has been an overall decline of tobacco and alcohol-related head and neck
cancer in recent decades, there has been an increased incidence of HPV-associated …
cancer in recent decades, there has been an increased incidence of HPV-associated …
[HTML][HTML] Development and testing of a machine learning model using 18F-fluorodeoxyglucose PET/CT-derived metabolic parameters to classify human papillomavirus …
C Woo, KH Jo, B Sohn, K Park, H Cho… - Korean Journal of …, 2023 - ncbi.nlm.nih.gov
Objective To develop and test a machine learning model for classifying human
papillomavirus (HPV) status of patients with oropharyngeal squamous cell carcinoma …
papillomavirus (HPV) status of patients with oropharyngeal squamous cell carcinoma …
[HTML][HTML] Pre-treatment PET/MRI based FDG and DWI imaging parameters for predicting HPV status and tumor response to chemoradiotherapy in primary …
Objectives To determine the feasibility of pre-treatment primary tumor FDG-PET and DWI-
MR imaging parameters in predicting HPV status and the second aim was to assess the …
MR imaging parameters in predicting HPV status and the second aim was to assess the …
[HTML][HTML] The impact of radiomics for human papillomavirus status prediction in oropharyngeal cancer: systematic review and radiomics quality score assessment
G Spadarella, L Ugga, G Calareso, R Villa, S D'Aniello… - Neuroradiology, 2022 - Springer
Purpose Human papillomavirus (HPV) status assessment is crucial for decision making in
oropharyngeal cancer patients. In last years, several articles have been published …
oropharyngeal cancer patients. In last years, several articles have been published …
Contemporary Imaging and Reporting Strategies for Head and Neck Cancer: MRI, FDG PET/MRI, NI-RADS, and Carcinoma of Unknown Primary—AJR Expert Panel …
S Mukherjee, NJ Fischbein… - American Journal of …, 2023 - Am Roentgen Ray Soc
CT, MRI, and FDG PET/CT play major roles in the diagnosis, staging, treatment planning,
and surveillance of head and neck cancers. Nonetheless, an evolving understanding of …
and surveillance of head and neck cancers. Nonetheless, an evolving understanding of …
