[HTML][HTML] Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review

C Xue, J Yuan, GG Lo, ATY Chang… - … imaging in medicine …, 2021 - ncbi.nlm.nih.gov
Radiomics research is rapidly growing in recent years, but more concerns on radiomics
reliability are also raised. This review attempts to update and overview the current status of …

Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts?–a …

O Rouvière, T Jaouen, P Baseilhac… - Diagnostic and …, 2023 - Elsevier
Purpose The purpose of this study was to perform a systematic review of the literature on the
diagnostic performance, in independent test cohorts, of artificial intelligence (AI)-based …

Challenges in ensuring the generalizability of image quantitation methods for MRI

KE Keenan, JG Delfino, KV Jordanova… - Medical …, 2022 - Wiley Online Library
Image quantitation methods including quantitative MRI, multiparametric MRI, and radiomics
offer great promise for clinical use. However, many of these methods have limited clinical …

The role of MRI in prostate cancer: current and future directions

MC Fernandes, O Yildirim, S Woo, HA Vargas… - … Resonance Materials in …, 2022 - Springer
There has been an increasing role of magnetic resonance imaging (MRI) in the
management of prostate cancer. MRI already plays an essential role in the detection and …

Prostate surface distension and tumor texture descriptors from pre-treatment MRI are associated with biochemical recurrence following radical prostatectomy …

R Shiradkar, S Ghose, A Mahran, L Li, I Hubbard… - Frontiers in …, 2022 - frontiersin.org
Objective To derive and evaluate the association of prostate shape distension descriptors
from T2-weighted MRI (T2WI) with prostate cancer (PCa) biochemical recurrence (BCR) post …

Magnetic resonance imaging based radiomic models of prostate cancer: A narrative review

A Chaddad, MJ Kucharczyk, A Cheddad, SE Clarke… - Cancers, 2021 - mdpi.com
Simple Summary The increasing interest in implementing artificial intelligence in radiomic
models has occurred alongside advancement in the tools used for computer-aided …

[HTML][HTML] Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans

M Khorrami, K Bera, R Thawani, P Rajiah… - European Journal of …, 2021 - Elsevier
Objective To identify stable and discriminating radiomic features on non-contrast CT scans
to develop more generalisable radiomic classifiers for distinguishing granulomas from …

Repeatability and reproducibility of MRI‐radiomic features: A phantom experiment on a 1.5 T scanner

M Bologna, C Tenconi, VDA Corino… - Medical …, 2023 - Wiley Online Library
Purpose Aim of this study is to assess the repeatability of radiomic features on magnetic
resonance images (MRI) and their stability to variations in time of repetition (TR), time of …

[HTML][HTML] The quantification of IntraVoxel incoherent motion–MRI maps cannot preserve texture information: An evaluation based on simulated and in-vivo images

E Scalco, G Rizzo, A Mastropietro - Computers in Biology and Medicine, 2023 - Elsevier
Background Radiomics can be applied on parametric maps obtained from IntraVoxel
Incoherent Motion (IVIM) MRI to characterize heterogeneity in diffusion and perfusion tissue …

Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps

A Hiremath, R Shiradkar, H Merisaari, P Prasanna… - European …, 2021 - Springer
Objectives To evaluate short-term test-retest repeatability of a deep learning architecture (U-
Net) in slice-and lesion-level detection and segmentation of clinically significant prostate …