Machine and deep learning methods for radiomics
Radiomics is an emerging area in quantitative image analysis that aims to relate large‐scale
extracted imaging information to clinical and biological endpoints. The development of …
extracted imaging information to clinical and biological endpoints. The development of …
Radiomics of liver metastases: a systematic review
Simple Summary Patients with liver metastases can be scheduled for different therapies (eg,
chemotherapy, surgery, radiotherapy, and ablation). The choice of the most appropriate …
chemotherapy, surgery, radiotherapy, and ablation). The choice of the most appropriate …
Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform
I Fornacon-Wood, H Mistry, CJ Ackermann… - European …, 2020 - Springer
Objective To investigate the effects of Image Biomarker Standardisation Initiative (IBSI)
compliance, harmonisation of calculation settings and platform version on the statistical …
compliance, harmonisation of calculation settings and platform version on the statistical …
Value of pre-therapy 18F-FDG PET/CT radiomics in predicting EGFR mutation status in patients with non-small cell lung cancer
J Zhang, X Zhao, Y Zhao, J Zhang, Z Zhang… - European journal of …, 2020 - Springer
Purpose To assess the predictive power of pre-therapy 18 F-FDG PET/CT-based radiomic
features for epidermal growth factor receptor (EGFR) mutation status in non-small cell lung …
features for epidermal growth factor receptor (EGFR) mutation status in non-small cell lung …
Projection space implementation of deep learning–guided low-dose brain PET imaging improves performance over implementation in image space
Our purpose was to assess the performance of full-dose (FD) PET image synthesis in both
image and sinogram space from low-dose (LD) PET images and sinograms without …
image and sinogram space from low-dose (LD) PET images and sinograms without …
18F-FDG PET dissemination features in diffuse large B-cell lymphoma are predictive of outcome
AS Cottereau, C Nioche, AS Dirand… - Journal of Nuclear …, 2020 - Soc Nuclear Med
We assessed the predictive value of new radiomic features characterizing lesion
dissemination in baseline 18F-FDG PET and tested whether combining them with baseline …
dissemination in baseline 18F-FDG PET and tested whether combining them with baseline …
18F-FDG Pet Parameters and Radiomics Features Analysis in Advanced Nsclc Treated with Immunotherapy as Predictors of Therapy Response and Survival
Objectives:(1.1) to evaluate the association between baseline 18F-FDG PET/CT semi-
quantitative parameters of the primary lesion with progression free survival (PFS), overall …
quantitative parameters of the primary lesion with progression free survival (PFS), overall …
Radiomics in stratification of pancreatic cystic lesions: Machine learning in action
Pancreatic cystic lesions (PCLs) are well-known precursors of pancreatic cancer. Their
diagnosis can be challenging as their behavior varies from benign to malignant disease …
diagnosis can be challenging as their behavior varies from benign to malignant disease …
Radiomics in radiation oncology—basics, methods, and limitations
P Lohmann, K Bousabarah, M Hoevels… - Strahlentherapie und …, 2020 - Springer
Over the past years, the quantity and complexity of imaging data available for the clinical
management of patients with solid tumors has increased substantially. Without the support of …
management of patients with solid tumors has increased substantially. Without the support of …
Baseline 18F-FDG PET radiomic features as predictors of 2-year event-free survival in diffuse large B cell lymphomas treated with immunochemotherapy
N Aide, C Fruchart, C Nganoa, AC Gac, C Lasnon - European radiology, 2020 - Springer
Objectives To explore the prognostic value of positron emission tomography (PET) radiomic
features in the field of diffuse large B cell lymphoma (DLBCL) treated with a first-line …
features in the field of diffuse large B cell lymphoma (DLBCL) treated with a first-line …