Artificial intelligence in multiparametric magnetic resonance imaging: A review

C Li, W Li, C Liu, H Zheng, J Cai, S Wang - Medical Physics, 2022 - Wiley Online Library
Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …

[HTML][HTML] Magnetic fields and cancer: epidemiology, cellular biology, and theranostics

ME Maffei - International Journal of Molecular Sciences, 2022 - mdpi.com
Humans are exposed to a complex mix of man-made electric and magnetic fields (MFs) at
many different frequencies, at home and at work. Epidemiological studies indicate that there …

MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons

MG Bandyk, DR Gopireddy, C Lall, KC Balaji… - Computers in Biology …, 2021 - Elsevier
Precise determination and assessment of bladder cancer (BC) extent of muscle invasion
involvement guides proper risk stratification and personalized therapy selection. In this …

Multi-task deep learning based on T2-Weighted Images for predicting Muscular-Invasive Bladder Cancer

Y Zou, L Cai, C Chen, Q Shao, X Fu, J Yu… - Computers in Biology …, 2022 - Elsevier
Background An accurate preoperative assessment of Non-Muscle-Invasive Bladder Cancer
(NMIBC) and Muscle-Invasive Bladder Cancer (MIBC) in Bladder Cancer (BCa) can help the …

[HTML][HTML] MR-guided adaptive radiotherapy for bladder cancer

A Hijab, B Tocco, I Hanson, H Meijer, CJ Nyborg… - Frontiers in …, 2021 - frontiersin.org
Radiotherapy has an important role in the curative and palliative treatment settings for
bladder cancer. As a target for radiotherapy the bladder presents a number of technical …

[HTML][HTML] Diffusion-weighted MRI in the genitourinary system

T De Perrot, C Sadjo Zoua, CG Glessgen… - Journal of clinical …, 2022 - mdpi.com
Diffusion weighted imaging (DWI) constitutes a major functional parameter performed in
Magnetic Resonance Imaging (MRI). The DW sequence is performed by acquiring a set of …

Seeing is believing: state of the art imaging of bladder cancer

E Messina, M Pecoraro, ML Pisciotti… - Seminars in Radiation …, 2023 - Elsevier
Imaging plays an important role in bladder cancer (BCa) diagnostic work-up. Ultrasound
achieves an intermediate sensitivity in detecting urinary tract alterations and is considered a …

[HTML][HTML] Conspicuity and muscle-invasiveness assessment for bladder cancer using VI-RADS: a multi-reader, contrast-free MRI study to determine optimal b-values for …

A Delli Pizzi, D Mastrodicasa, A Taraschi… - Abdominal …, 2022 - Springer
Objective To (1) compare bladder cancer (BC) muscle invasiveness among three b-values
using a contrast-free approach based on Vesical Imaging-Reporting and Data System (VI …

[HTML][HTML] Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm

DM Coroamă, L Dioșan, T Telecan, I Andras… - Frontiers in …, 2023 - frontiersin.org
Bladder magnetic resonance imaging (MRI) has been recently integrated in the diagnosis
pathway of bladder cancer. However, automatic recognition of suspicious lesions is still …

Content and shape attention network for bladder wall and cancer segmentation in MRIs

Q Dong, D Huang, X Xu, Z Li, Y Liu, H Lu… - Computers in Biology and …, 2022 - Elsevier
Accurate segmentation of the bladder wall and cancer is the key to preoperatively predicting
patients' muscle-invasive status. However, the segmentation of bladder wall and cancer …