Body Composition and Radiomics From 18F-FDG PET/CT Together Help Predict Prognosis for Patients With Stage IV Non–Small Cell Lung Cancer
Y Zhang, W Tan, Z Zheng, J Wang… - Journal of computer …, 2023 - journals.lww.com
Purpose To determine whether integration of data on body composition and radiomic
features obtained using baseline 18 F-FDG positron emission tomography/computed …
features obtained using baseline 18 F-FDG positron emission tomography/computed …
Does FDG PET-Based Radiomics Have an Added Value for Prediction of Overall Survival in Non-Small Cell Lung Cancer?
A Ciarmiello, E Giovannini, F Tutino, N Yosifov… - Journal of Clinical …, 2024 - mdpi.com
Objectives: Radiomics and machine learning are innovative approaches to improve the
clinical management of NSCLC. However, there is less information about the additive value …
clinical management of NSCLC. However, there is less information about the additive value …
Body composition radiomic features as a predictor of survival in patients with non-small cellular lung carcinoma: A multicenter retrospective study
M Rozynek, Z Tabor, S Kłęk, W Wojciechowski - Nutrition, 2024 - Elsevier
Objectives This study combined two novel approaches in oncology patient outcome
predictions—body composition and radiomic features analysis. The aim of this study was to …
predictions—body composition and radiomic features analysis. The aim of this study was to …
18F-FDG PET/CT-based radiomics model for predicting the degree of pathological differentiation in non-small cell lung cancer: a multicentre study
F Liu, Z Xiang, Q Li, X Fang, J Zhou, X Yang, H Lin… - Clinical Radiology, 2024 - Elsevier
AIM To explore the value of 2-[18 F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission
tomography (PET)/computed tomography (CT)-based radiomics model for predicting the …
tomography (PET)/computed tomography (CT)-based radiomics model for predicting the …
Development and validation of 18F-FDG PET/CT radiomics-based nomogram to predict visceral pleural invasion in solid lung adenocarcinoma
N Cui, J Li, Z Jiang, Z Long, W Liu, H Yao, M Li… - Annals of Nuclear …, 2023 - Springer
Objectives This study aimed to establish a radiomics model based on 18F-FDG PET/CT
images to predict visceral pleural invasion (VPI) of solid lung adenocarcinoma …
images to predict visceral pleural invasion (VPI) of solid lung adenocarcinoma …
Total metabolic tumor volume by 18F-FDG PET/CT for the prediction of outcome in patients with non-small cell lung cancer
S Pellegrino, R Fonti, E Mazziotti, L Piccin… - Annals of Nuclear …, 2019 - Springer
Objective Metabolic tumor volume (MTV) and total lesion glycolysis (TLG) are imaging
parameters derived from 18F-FDG PET/CT that have been proposed for risk stratification of …
parameters derived from 18F-FDG PET/CT that have been proposed for risk stratification of …
[HTML][HTML] Development and Validation of a Radiomics Nomogram Based on 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography and …
B Yang, J Zhong, J Zhong, L Ma, A Li, H Ji… - Frontiers in …, 2020 - frontiersin.org
Purpose: In this study, we developed and validated a radiomics nomogram by combining the
radiomic features extracted from 18F-fluorodeoxyglucose positron emission …
radiomic features extracted from 18F-fluorodeoxyglucose positron emission …
Deep Learning Features and Metabolic Tumor Volume Based on PET/CT to Construct Risk Stratification in Non-small Cell Lung Cancer
L Ju, W Li, R Zuo, Z Chen, Y Li, Y Feng, Y Xiang… - Academic …, 2024 - Elsevier
Rationale and Objectives To build a risk stratification by incorporating PET/CT-based deep
learning features and whole-body metabolic tumor volume (MTV wb), which was to make …
learning features and whole-body metabolic tumor volume (MTV wb), which was to make …
Metabolic tumor burden quantified on [18F]FDG PET/CT improves TNM staging of lung cancer patients
P Lapa, B Oliveiros, M Marques, J Isidoro… - European Journal of …, 2017 - Springer
Purpose The purpose of our study was to test a new staging algorithm, combining clinical
TNM staging (cTNM) with whole-body metabolic active tumor volume (MATV-WB), with the …
TNM staging (cTNM) with whole-body metabolic active tumor volume (MATV-WB), with the …
Potential feature exploration and model development based on 18F-FDG PET/CT images for differentiating benign and malignant lung lesions
Purpose The study is to explore potential features and develop classification models for
distinguishing benign and malignant lung lesions based on CT-radiomics features and PET …
distinguishing benign and malignant lung lesions based on CT-radiomics features and PET …