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 …

Imaging in interventional radiology: 2043 and beyond

KK Brock, SR Chen, RA Sheth, JH Siewerdsen - Radiology, 2023 - pubs.rsna.org
Since its inception in the early 20th century, interventional radiology (IR) has evolved
tremendously and is now a distinct clinical discipline with its own training pathway. The …

ITHscore: comprehensive quantification of intra-tumor heterogeneity in NSCLC by multi-scale radiomic features

J Li, Z Qiu, C Zhang, S Chen, M Wang, Q Meng… - European …, 2023 - Springer
Objectives To quantify intra-tumor heterogeneity (ITH) in non-small cell lung cancer
(NSCLC) from computed tomography (CT) images. Methods We developed a quantitative …

Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review

C Lu, R Shiradkar, Z Liu - Chinese Journal of Cancer …, 2021 - pmc.ncbi.nlm.nih.gov
In the last decade, the focus of computational pathology research community has shifted
from replicating the pathological examination for diagnosis done by pathologists to …

Magnetic resonance fingerprinting: an overview

C Tippareddy, W Zhao, JL Sunshine… - European Journal of …, 2021 - Springer
Magnetic resonance fingerprinting (MRF) is an evolving quantitative MRI framework
consisting of unique data acquisition, processing, visualization, and interpretation steps …

[HTML][HTML] An integrated radiology-pathology machine learning classifier for outcome prediction following radical prostatectomy: Preliminary findings

A Hiremath, G Corredor, L Li, P Leo, C Magi-Galluzzi… - Heliyon, 2024 - cell.com
Objectives To evaluate the added benefit of integrating features from pre-treatment MRI
(radiomics) and digitized post-surgical pathology slides (pathomics) in prostate cancer …

Infiltrative growth pattern of prostate cancer is associated with lower uptake on PSMA PET and reduced diffusion restriction on mpMRI

R Laudicella, JH Rüschoff, DA Ferraro… - European Journal of …, 2022 - Springer
Purpose Recently, a significant association was shown between novel growth patterns on
histopathology of prostate cancer (PCa) and prostate-specific membrane antigen (PSMA) …

Comparison of single-shot EPI and multi-shot EPI in prostate DWI at 3.0 T

T Tamada, A Kido, Y Ueda, M Takeuchi, A Kanki… - Scientific Reports, 2022 - nature.com
In prostate MRI, single-shot EPI (ssEPI) DWI still suffers from distortion and blurring. Multi-
shot EPI (msEPI) overcomes the drawbacks of ssEPI DWI. The aim of this article was to …

Novel 3D magnetic resonance fingerprinting radiomics in adult brain tumors: a feasibility study

C Tippareddy, L Onyewadume, AE Sloan, GM Wang… - European …, 2023 - Springer
Objectives To test the feasibility of using 3D MRF maps with radiomics analysis and machine
learning in the characterization of adult brain intra-axial neoplasms. Methods 3D MRF …

Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI

M Palombo, V Valindria, S Singh, E Chiou, F Giganti… - Scientific Reports, 2023 - nature.com
This work presents a biophysical model of diffusion and relaxation MRI for prostate called
relaxation vascular, extracellular and restricted diffusion for cytometry in tumours …