Exploratory analysis of using supervised machine learning in [18F] FDG PET/CT images to predict for recurrence and suvival in cervical cancer
387 Aim: The aim of this study was to identify relevant features on 2-deoxy-2-(18 F) fluoro-D-
glucose PET/CT ([18 F] FDG-PET/CT) to predict for recurrence (R) and overall survival (OS) …
glucose PET/CT ([18 F] FDG-PET/CT) to predict for recurrence (R) and overall survival (OS) …
[HTML][HTML] [18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation
M Ferreira, P Lovinfosse, J Hermesse… - European Journal of …, 2021 - Springer
Purpose To test the performances of native and tumour to liver ratio (TLR) radiomic features
extracted from pre-treatment 2-[18 F] fluoro-2-deoxy-D-glucose ([18 F] FDG) PET/CT and …
extracted from pre-treatment 2-[18 F] fluoro-2-deoxy-D-glucose ([18 F] FDG) PET/CT and …
Machine learning based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features to predict prognosis of cervical cancer patients
M Nakajo, M Jinguji, A Tani, E Yano, CK Hoo… - Abdominal …, 2022 - Springer
Purpose To examine the usefulness of machine learning to predict prognosis in cervical
cancer using clinical and radiomic features of 2-deoxy-2-[18 F] fluoro-D-glucose (18 F-FDG) …
cancer using clinical and radiomic features of 2-deoxy-2-[18 F] fluoro-D-glucose (18 F-FDG) …
Prediction of outcome using pretreatment 18F-FDG PET/CT and MRI radiomics in locally advanced cervical cancer treated with chemoradiotherapy
F Lucia, D Visvikis, MC Desseroit, O Miranda… - European journal of …, 2018 - Springer
Purpose The aim of this study is to determine if radiomics features from 18
fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) …
fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) …
Prediction of outcome using pretreatment 18F-FDG PET/CT and MRI radiomics in locally advanced cervical cancer treated with chemoradiotherapy
L François, D Visvikis, MC Desseroit… - … Journal of Nuclear …, 2018 - search.proquest.com
Purpose The aim of this study is to determine if radiomics features from 18
fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) …
fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) …
Pretreatment 18F-FDG PET/CT radiomics predict recurrence in patients treated with radiotherapy for cervical cancer
F Yousefirizi, S Harsini, C Holloway, P Tonseth… - 2023 - Soc Nuclear Med
P1248 Introduction: Cervical cancer is the fourth most common cancer in women. Currently,
the FIGO/TNM staging approach is used in clinical practice to determine the disease …
the FIGO/TNM staging approach is used in clinical practice to determine the disease …
Investigating the contribution of pre-and per-treatment 18F-FDG PET-CT segmentation methodologies for post-treatment tumor recurrence prediction in cervical cancer
G Roman-Jimenez, JD Ospina, J Leseur, A Devillers… - IRBM, 2013 - Elsevier
Cervical cancer is one of the most common cancers to affect women worldwide. Despite the
efficiency of radiotherapy treatment, some patients present post-treatment tumor recurrence …
efficiency of radiotherapy treatment, some patients present post-treatment tumor recurrence …
The role of texture analysis of pre-treatment ¹⁸F-FDG PET/CT in the evaluation of cervical cancer
KC Chan - HKU Theses Online (HKUTO), 2020 - hub.hku.hk
Introduction Intratumor heterogeneity has prognostic values in cervical cancer. Such
heterogeneity can be depicted by 18F-FDG PET/CT imaging and then quantitatively …
heterogeneity can be depicted by 18F-FDG PET/CT imaging and then quantitatively …
Prediction of cervical cancer recurrence using textural features calculated from 18F-FDG PET images
422 Objectives We assessed the ability of textural features to predict recurrence of cervix
cancer using pre-treatment 18F-FDG PET images. Methods 118 patients with cervical …
cancer using pre-treatment 18F-FDG PET images. Methods 118 patients with cervical …
[HTML][HTML] Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners
Objectives To identify an imaging signature predicting local recurrence for locally advanced
cervical cancer (LACC) treated by chemoradiation and brachytherapy from baseline 18 F …
cervical cancer (LACC) treated by chemoradiation and brachytherapy from baseline 18 F …
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