Context Detection of clinically significant prostate cancer (PCa) is a major challenge. It has been shown that multiparametric magnetic resonance imaging (mpMRI) facilitates …
D Fehr, H Veeraraghavan, A Wibmer… - Proceedings of the …, 2015 - National Acad Sciences
Noninvasive, radiological image-based detection and stratification of Gleason patterns can impact clinical outcomes, treatment selection, and the determination of disease status at …
A Wibmer, H Hricak, T Gondo, K Matsumoto… - European …, 2015 - Springer
Abstract Objectives To investigate Haralick texture analysis of prostate MRI for cancer detection and differentiating Gleason scores (GS). Methods One hundred and forty-seven …
D Bonekamp, S Kohl, M Wiesenfarth, P Schelb… - Radiology, 2018 - pubs.rsna.org
Purpose To compare biparametric contrast-free radiomic machine learning (RML), mean apparent diffusion coefficient (ADC), and radiologist assessment for characterization of …
Y Sun, HM Reynolds, B Parameswaran… - Australasian physical & …, 2019 - Springer
Multiparametric MRI (mpMRI) is an imaging modality that combines anatomical MR imaging with one or more functional MRI sequences. It has become a versatile tool for detecting and …
Background Recent studies have reported the additive value of combined gallium 68 (68Ga)- labeled Glu-urea-Lys (Ahx)-HBED-CC ligand targeting the prostate-specific membrane …
Purpose To develop and validate a classifier system for prediction of prostate cancer (PCa) Gleason score (GS) using radiomics and texture features of T2-weighted imaging (T2w) …
S Nougaret, HA Vargas, Y Lakhman, R Sudre, RKG Do… - Radiology, 2016 - pubs.rsna.org
Purpose To determine the diagnostic performance of intravoxel incoherent motion (IVIM) parameters and apparent diffusion coefficient (ADC) to assess response to combined …
Purpose To investigate magnetic resonance (MR) volumetry of endometrial tumors and its association with deep myometrial invasion, tumor grade, and lymphovascular invasion and …