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 …
Use of radiomics based on 18F-FDG PET/CT and machine learning methods to aid clinical decision-making in the classification of solitary pulmonary lesions: an …
Y Zhou, X Ma, T Zhang, J Wang, T Zhang… - European journal of …, 2021 - Springer
Purpose This study was designed and performed to assess the ability of 18 F-
fluorodeoxyglucose (FDG) positron emission tomography (PET) and computed tomography …
fluorodeoxyglucose (FDG) positron emission tomography (PET) and computed tomography …
Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET …
Purpose To investigate the clinical value of radiomic analysis on [18F] FDG and [18F] FLT
PET on the differentiation of [18F] FDG-avid benign and malignant pulmonary nodules …
PET on the differentiation of [18F] FDG-avid benign and malignant pulmonary nodules …
Ability of FDG PET and CT radiomics features to differentiate between primary and metastatic lung lesions
M Kirienko, L Cozzi, A Rossi, E Voulaz… - European journal of …, 2018 - Springer
Purpose To evaluate the ability of CT and PET radiomics features to classify lung lesions as
primary or metastatic, and secondly to differentiate histological subtypes of primary lung …
primary or metastatic, and secondly to differentiate histological subtypes of primary lung …
Machine learning based on clinico-biological features integrated 18F-FDG PET/CT radiomics for distinguishing squamous cell carcinoma from adenocarcinoma of …
C Ren, J Zhang, M Qi, J Zhang, Y Zhang… - European journal of …, 2021 - Springer
Purpose To develop and validate a clinico-biological features and 18 F-fluorodeoxyglucose
(FDG) positron emission tomography/computed tomography (PET/CT) radiomic-based …
(FDG) positron emission tomography/computed tomography (PET/CT) radiomic-based …
Maximum Standardized Uptake Value of 18F-deoxyglucose PET Imaging Increases the Effectiveness of CT Radiomics in Differentiating Benign and Malignant …
R Niu, J Gao, X Shao, J Wang, Z Jiang, Y Shi… - Frontiers in …, 2021 - frontiersin.org
To investigate whether the maximum standardized uptake value (SUVmax) of 18F-
deoxyglucose (FDG) PET imaging can increase the diagnostic efficiency of CT radiomics …
deoxyglucose (FDG) PET imaging can increase the diagnostic efficiency of CT radiomics …
A machine-learning approach using PET-based radiomics to predict the histological subtypes of lung cancer
SH Hyun, MS Ahn, YW Koh, SJ Lee - Clinical nuclear medicine, 2019 - journals.lww.com
Purpose We sought to distinguish lung adenocarcinoma (ADC) from squamous cell
carcinoma using a machine-learning algorithm with PET-based radiomic features. Methods …
carcinoma using a machine-learning algorithm with PET-based radiomic features. Methods …
Development of a radiomics prediction model for histological type diagnosis in solitary pulmonary nodules: the combination of CT and FDG PET
M Yan, W Wang - Frontiers in Oncology, 2020 - frontiersin.org
Purpose To develop a diagnostic model for histological subtypes in lung cancer combined
CT and FDG PET. Methods Machine learning binary and four class classification of a cohort …
CT and FDG PET. Methods Machine learning binary and four class classification of a cohort …
Performance of integrated FDG-PET/CT for differentiating benign and malignant lung lesions-results from a large prospective clinical trial
S Pauls, AK Buck, G Halter, FM Mottaghy… - Molecular Imaging and …, 2008 - Springer
Purpose The purpose of the study was to evaluate prospectively whether integrated 2-deoxy-
2-[18 F] fluoro-d-glucose positron emission tomography/computed tomography (FDG …
2-[18 F] fluoro-d-glucose positron emission tomography/computed tomography (FDG …
[HTML][HTML] A subregion-based positron emission tomography/computed tomography (PET/CT) radiomics model for the classification of non-small cell lung cancer …
H Shen, L Chen, K Liu, K Zhao, J Li, L Yu… - … imaging in medicine …, 2021 - ncbi.nlm.nih.gov
Background This study classifies lung adenocarcinoma (ADC) and squamous cell
carcinoma (SCC) using subregion-based radiomics features extracted from positron …
carcinoma (SCC) using subregion-based radiomics features extracted from positron …