Advanced MR Imaging for Knee Osteoarthritis: A Review on Local and Brain Effects

Knee osteoarthritis is one of the leading causes of chronic disability worldwide and is a significant social and economic burden on healthcare systems; hence it has become essential to develop methods to identify patients at risk for developing knee osteoarthritis at an early stage. Standard morphol...

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Main Authors: Carlo A. Mallio, Caterina Bernetti, Francesco Agostini, Massimiliano Mangone, Marco Paoloni, Gabriele Santilli, Francesca Maria Martina, Carlo C. Quattrocchi, Bruno Beomonte Zobel, Andrea Bernetti
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/13/1/54
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author Carlo A. Mallio
Caterina Bernetti
Francesco Agostini
Massimiliano Mangone
Marco Paoloni
Gabriele Santilli
Francesca Maria Martina
Carlo C. Quattrocchi
Bruno Beomonte Zobel
Andrea Bernetti
author_facet Carlo A. Mallio
Caterina Bernetti
Francesco Agostini
Massimiliano Mangone
Marco Paoloni
Gabriele Santilli
Francesca Maria Martina
Carlo C. Quattrocchi
Bruno Beomonte Zobel
Andrea Bernetti
author_sort Carlo A. Mallio
collection DOAJ
description Knee osteoarthritis is one of the leading causes of chronic disability worldwide and is a significant social and economic burden on healthcare systems; hence it has become essential to develop methods to identify patients at risk for developing knee osteoarthritis at an early stage. Standard morphological MRI sequences are focused mostly on alterations seen in advanced stages of osteoarthritis. However, they possess low sensitivity for early, subtle, and potentially reversible changes of the degenerative process. In this review, we have summarized the state of the art with regard to innovative quantitative MRI techniques that exploit objective and quantifiable biomarkers to identify subtle alterations that occur in early stages of osteoarthritis in knee cartilage before any morphological alteration occurs and to capture potential effects on the brain. These novel MRI imaging tools are believed to have great potential for improving the current standard of care, but further research is needed to address limitations before these compositional techniques can be robustly applied in research and clinical settings.
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spelling doaj.art-6d5659b3cbf2404c977064cdeebc05eb2023-11-16T15:08:13ZengMDPI AGDiagnostics2075-44182022-12-011315410.3390/diagnostics13010054Advanced MR Imaging for Knee Osteoarthritis: A Review on Local and Brain EffectsCarlo A. Mallio0Caterina Bernetti1Francesco Agostini2Massimiliano Mangone3Marco Paoloni4Gabriele Santilli5Francesca Maria Martina6Carlo C. Quattrocchi7Bruno Beomonte Zobel8Andrea Bernetti9Unit of Diagnostic Imaging and Interventional Radiology, Campus Bio-Medico University of Rome, 00128 Rome, ItalyUnit of Diagnostic Imaging and Interventional Radiology, Campus Bio-Medico University of Rome, 00128 Rome, ItalyDepartment of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University of Rome, 00185 Rome, ItalyDepartment of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University of Rome, 00185 Rome, ItalyDepartment of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University of Rome, 00185 Rome, ItalyDepartment of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome, 00185 Rome, ItalyUnit of Diagnostic Imaging and Interventional Radiology, Campus Bio-Medico University of Rome, 00128 Rome, ItalyUnit of Diagnostic Imaging and Interventional Radiology, Campus Bio-Medico University of Rome, 00128 Rome, ItalyUnit of Diagnostic Imaging and Interventional Radiology, Campus Bio-Medico University of Rome, 00128 Rome, ItalyDepartment of Anatomical and Histological Sciences, Legal Medicine and Orthopedics, Sapienza University of Rome, 00185 Rome, ItalyKnee osteoarthritis is one of the leading causes of chronic disability worldwide and is a significant social and economic burden on healthcare systems; hence it has become essential to develop methods to identify patients at risk for developing knee osteoarthritis at an early stage. Standard morphological MRI sequences are focused mostly on alterations seen in advanced stages of osteoarthritis. However, they possess low sensitivity for early, subtle, and potentially reversible changes of the degenerative process. In this review, we have summarized the state of the art with regard to innovative quantitative MRI techniques that exploit objective and quantifiable biomarkers to identify subtle alterations that occur in early stages of osteoarthritis in knee cartilage before any morphological alteration occurs and to capture potential effects on the brain. These novel MRI imaging tools are believed to have great potential for improving the current standard of care, but further research is needed to address limitations before these compositional techniques can be robustly applied in research and clinical settings.https://www.mdpi.com/2075-4418/13/1/54knee osteoarthritisquantitative imagingMRIT1ρ mappingT2-mappingDGEMRIC
spellingShingle Carlo A. Mallio
Caterina Bernetti
Francesco Agostini
Massimiliano Mangone
Marco Paoloni
Gabriele Santilli
Francesca Maria Martina
Carlo C. Quattrocchi
Bruno Beomonte Zobel
Andrea Bernetti
Advanced MR Imaging for Knee Osteoarthritis: A Review on Local and Brain Effects
Diagnostics
knee osteoarthritis
quantitative imaging
MRI
T1ρ mapping
T2-mapping
DGEMRIC
title Advanced MR Imaging for Knee Osteoarthritis: A Review on Local and Brain Effects
title_full Advanced MR Imaging for Knee Osteoarthritis: A Review on Local and Brain Effects
title_fullStr Advanced MR Imaging for Knee Osteoarthritis: A Review on Local and Brain Effects
title_full_unstemmed Advanced MR Imaging for Knee Osteoarthritis: A Review on Local and Brain Effects
title_short Advanced MR Imaging for Knee Osteoarthritis: A Review on Local and Brain Effects
title_sort advanced mr imaging for knee osteoarthritis a review on local and brain effects
topic knee osteoarthritis
quantitative imaging
MRI
T1ρ mapping
T2-mapping
DGEMRIC
url https://www.mdpi.com/2075-4418/13/1/54
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