[HTML][HTML] Novel multiparametric magnetic resonance imaging-based deep learning and clinical parameter integration for the prediction of long-term biochemical …

HW Lee, E Kim, I Na, CK Kim, SI Seo, H Park - Cancers, 2023 - mdpi.com
Simple Summary Existing research on predicting biochemical recurrence after prostate
surgery has been insufficient. Here, we aimed to predict biochemical recurrence after radical …

[HTML][HTML] Deep learning with quantitative features of magnetic resonance images to predict biochemical recurrence of radical prostatectomy: A multi-center study

Y Yan, L Shao, Z Liu, W He, G Yang, J Liu, H Xia… - Cancers, 2021 - mdpi.com
Simple Summary Biochemical recurrence after radical prostatectomy is vitally important for
long-term oncological control and subsequent treatment of these patients. We applied …

[HTML][HTML] Radiomics of multiparametric MRI to predict biochemical recurrence of localized prostate cancer after radiation therapy

QZ Zhong, LH Long, A Liu, CM Li, X Xiu, XY Hou… - Frontiers in …, 2020 - frontiersin.org
Background: To identify multiparametric magnetic resonance imaging (mp-MRI)-based
radiomics features as prognostic factors in patients with localized prostate cancer after …

[HTML][HTML] A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi …

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 …

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 …

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 …

[HTML][HTML] Deep Neural Networks outperform the CAPRA score in predicting biochemical recurrence after prostatectomy

P Sargos, N Leduc, N Giraud, G Gandaglia… - Frontiers in …, 2021 - frontiersin.org
Background Use of predictive models for the prediction of biochemical recurrence (BCR) is
gaining attention for prostate cancer (PCa). Specifically, BCR occurs in approximately 20 …

[HTML][HTML] Multiparametric MRI and machine learning based radiomic models for preoperative prediction of multiple biological characteristics in prostate cancer

X Fan, N Xie, J Chen, T Li, R Cao, H Yu, M He… - Frontiers in …, 2022 - frontiersin.org
Objectives This study aims to develop and evaluate multiparametric MRI (MP-MRI)-based
radiomic models as a noninvasive diagnostic method to predict several biological …

[HTML][HTML] MRI radiomics predicts progression-free survival in prostate cancer

Y Jia, S Quan, J Ren, H Wu, A Liu, Y Gao, F Hao… - Frontiers in …, 2022 - frontiersin.org
Objective: To assess the predictive value of magnetic resonance imaging (MRI) radiomics
for progression-free survival (PFS) in patients with prostate cancer (PCa). Methods: 191 …

Radiomics based on MRI as a biomarker to guide therapy by predicting upgrading of prostate cancer from biopsy to radical prostatectomy

G Zhang, Y Han, J Wei, Y Qi, D Gu, J Lei… - Journal of Magnetic …, 2020 - Wiley Online Library
Background Biopsy Gleason score (GS) is crucial for prostate cancer (PCa) treatment
decision‐making. Upgrading in GS from biopsy to radical prostatectomy (RP) puts a …