De novo radiomics approach using image augmentation and features from T1 mapping to predict Gleason scores in prostate cancer

MR Makowski, KK Bressem, L Franz… - Investigative …, 2021 - journals.lww.com
Objectives The aims of this study were to discriminate among prostate cancers (PCa's) with
Gleason scores 6, 7, and≥ 8 on biparametric magnetic resonance imaging (bpMRI) of the …

Prostate cancer: role of pretreatment multiparametric 3-T MRI in predicting biochemical recurrence after radical prostatectomy

JJ Park, CK Kim, SY Park, BK Park… - American Journal of …, 2014 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this study is to retrospectively investigate whether pretreatment
multiparametric MRI findings can predict biochemical recurrence in patients who underwent …

Prostate MR imaging for posttreatment evaluation and recurrence

S Gaur, B Turkbey - Urologic Clinics, 2018 - urologic.theclinics.com
Prostate cancer (PCa) is the most common solid organ malignancy and second most
common cause of cancer-related deaths among men in the United States. Last year …

Multiparametric MRI for prostate cancer characterization: Combined use of radiomics model with PI-RADS and clinical parameters

P Woźnicki, N Westhoff, T Huber, P Riffel, MF Froelich… - Cancers, 2020 - mdpi.com
Radiomics is an emerging field of image analysis with potential applications in patient risk
stratification. This study developed and evaluated machine learning models using …

Radiomics models based on apparent diffusion coefficient maps for the prediction of high‐grade prostate cancer at radical prostatectomy: comparison with …

C Han, S Ma, X Liu, Y Liu, C Li, Y Zhang… - Journal of Magnetic …, 2021 - Wiley Online Library
Background It is feasible to use magnetic resonance (MR)‐based radiomics to distinguish
high‐grade from low‐grade prostate cancer (PCa), but radiomics model performance based …

Multiparametric MRI for detection of radiorecurrent prostate cancer: added value of apparent diffusion coefficient maps and dynamic contrast-enhanced images

M Abd-Alazeez, N Ramachandran, N Dikaios… - Prostate cancer and …, 2015 - nature.com
Background: Multiparametric magnetic resonance imaging (mp-MRI) is increasingly
advocated for prostate cancer detection. There are limited reports of its use in the setting of …

[HTML][HTML] Radiomics prediction model for the improved diagnosis of clinically significant prostate cancer on biparametric MRI

M Li, T Chen, W Zhao, C Wei, X Li, S Duan… - … Imaging in Medicine …, 2020 - ncbi.nlm.nih.gov
Background To evaluate the potential of clinical-based model, a biparametric MRI-based
radiomics model and a clinical-radiomics combined model for predicting clinically significant …

Prediction of biochemical recurrence in prostate cancer patients who underwent prostatectomy using routine clinical prostate multiparametric MRI and decipher …

I Jambor, U Falagario, P Ratnani… - Journal of Magnetic …, 2020 - Wiley Online Library
Background Biochemical recurrence (BCR) affects a significant proportion of patients who
undergo robotic‐assisted laparoscopic prostatectomy (RALP). Purpose To evaluate the …

Biparametric versus multiparametric MRI in the diagnosis of prostate cancer

KCD Thestrup, V Logager, I Baslev… - Acta radiologica …, 2016 - journals.sagepub.com
Background Since multiparametric magnetic resonance imaging (mp-MRI) of the prostate
exceeds 30 min, minimizing the evaluation time of significant (Gleason scores> 6) prostate …

A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI

L Li, R Shiradkar, P Leo, A Algohary, P Fu… - …, 2021 - thelancet.com
Background We developed and validated an integrated radiomic-clinicopathologic
nomogram (RadClip) for post-surgical biochemical recurrence free survival (bRFS) and …