T2-weighted (T2W) MRI provides high spatial resolution and tissue-specific contrast, but it is predominantly used for qualitative evaluation of prostate anatomy and anomalies. This retrospective multicenter study evaluated the potential of T2W image-derived textural features for quantitative assessment of peripheral zone prostate cancer (PCa) aggressiveness. A standardized preoperative multiparametric MRI was performed on 87 PCa patients across 6 institutions. T2W intensity and apparent diffusion coefficient (ADC) histogram, and T2W textural features were computed from tumor volumes annotated based on whole-mount histology. Spearman correlations were used to evaluate association between textural features and PCa grade groups (i.e. 1–5). Fea...
Objectives To evaluate multiparametric-MRI (mpMRI) derived histogram textural-analysis parameters f...
BACKGROUND: A challenge in the diagnosis of prostate cancer (PCa) is the accurate assessment of aggr...
In this study, the objective was to characterize the MR signatures of the various benign prostate ti...
Background: Previous studies have identified apparent diffusion coefficient (ADC) from diffusion-wei...
PURPOSE: To evaluate the diagnostic relevance of T2-weighted (T2W) MRI-derived textural features rel...
International audiencePurpose To assess the intermanufacturer variability of quantitative models in ...
OBJECTIVE: The purpose of this study to assess the value of texture analysis (TA) for prostate canc...
In the last decade, multiparametric magnetic resonance imaging (mpMRI) has been expanding its role i...
Background Currently, multi-parametric prostate MRI (mpMRI) consists of a qualitative T-2, diffusion...
Purpose: We investigated radiomic features extracted from dominant intraprostatic lesions (DILs) of ...
Contains fulltext : 89494.pdf (publisher's version ) (Closed access)In this study,...
Purpose Accurate prostate cancer (PCa) detection is essential for planning focal external beam radi...
OBJECTIVES: To evaluate multiparametric-MRI (mpMRI) derived histogram textural-analysis parameters f...
Purpose: To determine the diagnostic performance of texture analysis of prostate MRI for the diagnos...
Contains fulltext : 109020.pdf (publisher's version ) (Closed access)OBJECTIVES: T...
Objectives To evaluate multiparametric-MRI (mpMRI) derived histogram textural-analysis parameters f...
BACKGROUND: A challenge in the diagnosis of prostate cancer (PCa) is the accurate assessment of aggr...
In this study, the objective was to characterize the MR signatures of the various benign prostate ti...
Background: Previous studies have identified apparent diffusion coefficient (ADC) from diffusion-wei...
PURPOSE: To evaluate the diagnostic relevance of T2-weighted (T2W) MRI-derived textural features rel...
International audiencePurpose To assess the intermanufacturer variability of quantitative models in ...
OBJECTIVE: The purpose of this study to assess the value of texture analysis (TA) for prostate canc...
In the last decade, multiparametric magnetic resonance imaging (mpMRI) has been expanding its role i...
Background Currently, multi-parametric prostate MRI (mpMRI) consists of a qualitative T-2, diffusion...
Purpose: We investigated radiomic features extracted from dominant intraprostatic lesions (DILs) of ...
Contains fulltext : 89494.pdf (publisher's version ) (Closed access)In this study,...
Purpose Accurate prostate cancer (PCa) detection is essential for planning focal external beam radi...
OBJECTIVES: To evaluate multiparametric-MRI (mpMRI) derived histogram textural-analysis parameters f...
Purpose: To determine the diagnostic performance of texture analysis of prostate MRI for the diagnos...
Contains fulltext : 109020.pdf (publisher's version ) (Closed access)OBJECTIVES: T...
Objectives To evaluate multiparametric-MRI (mpMRI) derived histogram textural-analysis parameters f...
BACKGROUND: A challenge in the diagnosis of prostate cancer (PCa) is the accurate assessment of aggr...
In this study, the objective was to characterize the MR signatures of the various benign prostate ti...