Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: preliminary findings

R Shiradkar, S Ghose, I Jambor… - Journal of Magnetic …, 2018 - Wiley Online Library
Background Radiomics or computer‐extracted texture features derived from MRI have been
shown to help quantitatively characterize prostate cancer (PCa). Radiomics have not been …

[HTML][HTML] Predicting Biochemical Recurrence of Prostate Cancer Post-Prostatectomy Using Artificial Intelligence: A Systematic Review

J Liu, H Zhang, DTS Woon, M Perera, N Lawrentschuk - Cancers, 2024 - mdpi.com
Abstract Background/Objectives: Biochemical recurrence (BCR) after radical prostatectomy
(RP) is a significant predictor of distal metastases and mortality in prostate cancer (PCa) …

Impact of multiparametric MRI and MRI-targeted biopsy on pre-therapeutic risk assessment in prostate cancer patients candidate for radical prostatectomy

P Dell'Oglio, A Stabile, BH Dias, G Gandaglia… - World journal of …, 2019 - Springer
Purpose To assess the current status and future potential of multiparametric MRI (mpMRI)
and MRI-targeted biopsy (MRI-TBx) on the pretherapeutic risk assessment in prostate …

Comparison of MRI-based staging and pathologic staging for predicting biochemical recurrence of prostate cancer after radical prostatectomy

KM Merriman, SA Harmon, MJ Belue… - American Journal of …, 2023 - Am Roentgen Ray Soc
BACKGROUND. Currently most clinical models for predicting biochemical recurrence (BCR)
of prostate cancer (PCa) after radical prostatectomy (RP) incorporate staging information …

Prognostic implications of multiparametric magnetic resonance imaging and concomitant systematic biopsy in predicting biochemical recurrence after radical …

G Gandaglia, G Ploussard, M Valerio, G Marra… - European urology …, 2020 - Elsevier
Background The prognostic role of multiparametric magnetic resonance imaging (mpMRI)
and systematic biopsy in predicting biochemical recurrence (BCR) after radical …

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 …

Biopsy-free AI-aided precision MRI assessment in prediction of prostate cancer biochemical recurrence

Y Hou, KW Jiang, LL Wang, R Zhi, ML Bao, Q Li… - British Journal of …, 2023 - nature.com
Background To investigate the predictive ability of high-throughput MRI with deep survival
networks for biochemical recurrence (BCR) of prostate cancer (PCa) after prostatectomy …

Utilization of biopsy-based genomic classifier to predict distant metastasis after definitive radiation and short-course ADT for intermediate and high-risk prostate cancer

PL Nguyen, NE Martin, V Choeurng… - Prostate cancer and …, 2017 - nature.com
Background: We examined the ability of a biopsy-based 22-marker genomic classifier (GC)
to predict for distant metastases after radiation and a median of 6 months of androgen …

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 …

The prognostic value of mean apparent diffusion coefficient measured with diffusion-weighted magnetic resonance image in patients with prostate cancer treated with …

C Onal, G Erbay, OC Guler, E Oymak - Radiotherapy and Oncology, 2022 - Elsevier
Purpose To assess the correlation between initial tumor apparent diffusion coefficient (ADC)
values and clinicopathological parameters in prostate cancer (PCa) patients treated with …