Predictive and prognostic value of metabolic tumour volume and total lesion glycolysis in solid tumours
C Van de Wiele, V Kruse, P Smeets… - European journal of …, 2013 - Springer
Data available in patients suffering from squamous cell carcinoma of the head and neck,
lung carcinoma, oesophageal carcinoma and gynaecological malignancies suggest that …
lung carcinoma, oesophageal carcinoma and gynaecological malignancies suggest that …
Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer
M Vallieres, E Kay-Rivest, LJ Perrin, X Liem… - Scientific reports, 2017 - nature.com
Quantitative extraction of high-dimensional mineable data from medical images is a process
known as radiomics. Radiomics is foreseen as an essential prognostic tool for cancer risk …
known as radiomics. Radiomics is foreseen as an essential prognostic tool for cancer risk …
What is the prognostic impact of FDG PET in locally advanced head and neck squamous cell carcinoma treated with concomitant chemo-radiotherapy? A systematic …
P Bonomo, A Merlotti, E Olmetto, A Bianchi… - European journal of …, 2018 - Springer
Purpose Evidence is conflicting on the prognostic value of 18 F-fluorodeoxyglucose (FDG)
positron emission tomography (PET) in head and neck squamous cell carcinoma. The aim of …
positron emission tomography (PET) in head and neck squamous cell carcinoma. The aim of …
Deep versus handcrafted tensor radiomics features: prediction of survival in head and neck cancer using machine learning and fusion techniques
MR Salmanpour, SM Rezaeijo, M Hosseinzadeh… - Diagnostics, 2023 - mdpi.com
Background: Although handcrafted radiomics features (RF) are commonly extracted via
radiomics software, employing deep features (DF) extracted from deep learning (DL) …
radiomics software, employing deep features (DF) extracted from deep learning (DL) …
Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer
NM Cheng, YHD Fang, L Lee, JTC Chang… - European Journal of …, 2015 - Springer
Purpose The question as to whether the regional textural features extracted from PET
images predict prognosis in oropharyngeal squamous cell carcinoma (OPSCC) remains …
images predict prognosis in oropharyngeal squamous cell carcinoma (OPSCC) remains …
[HTML][HTML] FDG-PET/CT imaging biomarkers in head and neck squamous cell carcinoma
V Paidpally, A Chirindel, S Lam, N Agrawal… - Imaging in …, 2012 - ncbi.nlm.nih.gov
This article discusses the value of 18 F-fluoro-2-deoxyglucose PET/CT imaging biomarkers
in head and neck squamous cell carcinoma. 18 F-fluoro-2-deoxyglucose PET/CT is valuable …
in head and neck squamous cell carcinoma. 18 F-fluoro-2-deoxyglucose PET/CT is valuable …
[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 …
Overview of the predictive value of quantitative 18 FDG PET in head and neck cancer treated with chemoradiotherapy
Abstract 18 F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed
tomography (PET/CT) allows to quantify the metabolic activity of a tumor (glycolysis) and has …
tomography (PET/CT) allows to quantify the metabolic activity of a tumor (glycolysis) and has …
Dynamic contrast-enhanced MRI, diffusion-weighted MRI and 18F-FDG PET/CT for the prediction of survival in oropharyngeal or hypopharyngeal squamous cell …
SH Ng, CT Liao, CY Lin, SC Chan, YC Lin, TC Yen… - European …, 2016 - Springer
Objectives We prospectively investigated the roles of pretreatment dynamic contrast-
enhanced MR imaging (DCE-MRI), diffusion-weighted MR imaging (DWI) and 18 F …
enhanced MR imaging (DCE-MRI), diffusion-weighted MR imaging (DWI) and 18 F …
Predictive modeling of outcomes following definitive chemoradiotherapy for oropharyngeal cancer based on FDG-PET image characteristics
In this study, we investigate the use of imaging feature-based outcomes research
('radiomics') combined with machine learning techniques to develop robust predictive …
('radiomics') combined with machine learning techniques to develop robust predictive …