Multi-level multi-modality (PET and CT) fusion radiomics: prognostic modeling for non-small cell lung carcinoma
We developed multi-modality radiomic models by integrating information extracted from 18 F-
FDG PET and CT images using feature-and image-level fusions, toward improved prognosis …
FDG PET and CT images using feature-and image-level fusions, toward improved prognosis …
[HTML][HTML] Overall survival prognostic modelling of non-small cell lung cancer patients using positron emission tomography/computed tomography harmonised radiomics …
Aims Despite the promising results achieved by radiomics prognostic models for various
clinical applications, multiple challenges still need to be addressed. The two main limitations …
clinical applications, multiple challenges still need to be addressed. The two main limitations …
Multi-level multi-modality fusion radiomics: application to PET and CT imaging for prognostication of head and neck cancer
To characterize intra-tumor heterogeneity comprehensively, we propose a multi-level fusion
strategy to combine PET and CT information at the image-, matrix-and feature-levels towards …
strategy to combine PET and CT information at the image-, matrix-and feature-levels towards …
Early survival prediction in non-small cell lung cancer from PET/CT images using an intra-tumor partitioning method
Purpose To explore prognostic and predictive values of a novel quantitative feature set
describing intra-tumor heterogeneity in patients with lung cancer treated with concurrent and …
describing intra-tumor heterogeneity in patients with lung cancer treated with concurrent and …
Pre-treatment 18F-FDG PET-based radiomics predict survival in resected non-small cell lung cancer
HK Ahn, H Lee, SG Kim, SH Hyun - Clinical radiology, 2019 - Elsevier
AIM To assess the prognostic value of 2-[18 F]-fluoro-2-deoxy-d-glucose (FDG) positron-
emission tomography (PET)-based radiomics using a machine learning approach in patients …
emission tomography (PET)-based radiomics using a machine learning approach in patients …
Imbalanced data correction based PET/CT radiomics model for predicting lymph node metastasis in clinical stage T1 lung adenocarcinoma
Objectives To develop and validate the imbalanced data correction based PET/CT radiomics
model for predicting lymph node metastasis (LNM) in clinical stage T1 lung adenocarcinoma …
model for predicting lymph node metastasis (LNM) in clinical stage T1 lung adenocarcinoma …
[HTML][HTML] Pathologic stratification of operable lung adenocarcinoma using radiomics features extracted from dual energy CT images
Purpose To evaluate the usefulness of surrogate biomarkers as predictors of histopathologic
tumor grade and aggressiveness using radiomics data from dual-energy computed …
tumor grade and aggressiveness using radiomics data from dual-energy computed …
Multi-lesion radiomics of PET/CT for non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinoma
Objectives This study investigates the ability of machine learning (ML) models trained on
clinical data and 2-deoxy-2-[18F] fluoro-D-glucose (FDG) positron emission …
clinical data and 2-deoxy-2-[18F] fluoro-D-glucose (FDG) positron emission …
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 …
Comparison and fusion of machine learning algorithms for prospective validation of PET/CT radiomic features prognostic value in stage II-III non-small cell lung cancer
S Sepehri, O Tankyevych, T Upadhaya, D Visvikis… - Diagnostics, 2021 - mdpi.com
Machine learning (ML) algorithms for selecting and combining radiomic features into
multiparametric prediction models have become popular; however, it has been shown that …
multiparametric prediction models have become popular; however, it has been shown that …