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Classification Scheme of Heating Risk during MRI Scans on Patients with Orthopaedic Prostheses

Due to the large variety of possible clinical scenarios, a reliable heating-risk assessment is not straightforward when patients with arthroplasty undergo MRI scans. This paper proposes a simple procedure to estimate the thermal effects induced in patients with hip, knee, or shoulder arthroplasty du...

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Autores principales: Clementi, Valeria, Zanovello, Umberto, Arduino, Alessandro, Ancarani, Cristina, Baruffaldi, Fabio, Bordini, Barbara, Chiampi, Mario, Zilberti, Luca, Bottauscio, Oriano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406867/
https://www.ncbi.nlm.nih.gov/pubmed/36010224
http://dx.doi.org/10.3390/diagnostics12081873
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author Clementi, Valeria
Zanovello, Umberto
Arduino, Alessandro
Ancarani, Cristina
Baruffaldi, Fabio
Bordini, Barbara
Chiampi, Mario
Zilberti, Luca
Bottauscio, Oriano
author_facet Clementi, Valeria
Zanovello, Umberto
Arduino, Alessandro
Ancarani, Cristina
Baruffaldi, Fabio
Bordini, Barbara
Chiampi, Mario
Zilberti, Luca
Bottauscio, Oriano
author_sort Clementi, Valeria
collection PubMed
description Due to the large variety of possible clinical scenarios, a reliable heating-risk assessment is not straightforward when patients with arthroplasty undergo MRI scans. This paper proposes a simple procedure to estimate the thermal effects induced in patients with hip, knee, or shoulder arthroplasty during MRI exams. The most representative clinical scenarios were identified by a preliminary frequency analysis, based on clinical service databases, collecting MRI exams of 11,658 implant carrier patients. The thermal effects produced by radiofrequency and switching gradient fields were investigated through 588 numerical simulations performed on an ASTM-like phantom, considering four prostheses, two static field values, seven MR sequences, and seven regions of imaging. The risk assessment was inspired by standards for radiofrequency fields and by scientific studies for gradient fields. Three risk tiers were defined for the radiofrequency, in terms of whole-body and local SAR averages, and for GC fields, in terms of temperature elevation. Only 50 out of 588 scenarios require some caution to be managed. Results showed that the whole-body SAR is not a self-reliant safety parameter for patients with metallic implants. The proposed numerical procedure can be easily extended to any other scenario, including the use of detailed anatomical models.
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spelling pubmed-94068672022-08-26 Classification Scheme of Heating Risk during MRI Scans on Patients with Orthopaedic Prostheses Clementi, Valeria Zanovello, Umberto Arduino, Alessandro Ancarani, Cristina Baruffaldi, Fabio Bordini, Barbara Chiampi, Mario Zilberti, Luca Bottauscio, Oriano Diagnostics (Basel) Article Due to the large variety of possible clinical scenarios, a reliable heating-risk assessment is not straightforward when patients with arthroplasty undergo MRI scans. This paper proposes a simple procedure to estimate the thermal effects induced in patients with hip, knee, or shoulder arthroplasty during MRI exams. The most representative clinical scenarios were identified by a preliminary frequency analysis, based on clinical service databases, collecting MRI exams of 11,658 implant carrier patients. The thermal effects produced by radiofrequency and switching gradient fields were investigated through 588 numerical simulations performed on an ASTM-like phantom, considering four prostheses, two static field values, seven MR sequences, and seven regions of imaging. The risk assessment was inspired by standards for radiofrequency fields and by scientific studies for gradient fields. Three risk tiers were defined for the radiofrequency, in terms of whole-body and local SAR averages, and for GC fields, in terms of temperature elevation. Only 50 out of 588 scenarios require some caution to be managed. Results showed that the whole-body SAR is not a self-reliant safety parameter for patients with metallic implants. The proposed numerical procedure can be easily extended to any other scenario, including the use of detailed anatomical models. MDPI 2022-08-02 /pmc/articles/PMC9406867/ /pubmed/36010224 http://dx.doi.org/10.3390/diagnostics12081873 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Clementi, Valeria
Zanovello, Umberto
Arduino, Alessandro
Ancarani, Cristina
Baruffaldi, Fabio
Bordini, Barbara
Chiampi, Mario
Zilberti, Luca
Bottauscio, Oriano
Classification Scheme of Heating Risk during MRI Scans on Patients with Orthopaedic Prostheses
title Classification Scheme of Heating Risk during MRI Scans on Patients with Orthopaedic Prostheses
title_full Classification Scheme of Heating Risk during MRI Scans on Patients with Orthopaedic Prostheses
title_fullStr Classification Scheme of Heating Risk during MRI Scans on Patients with Orthopaedic Prostheses
title_full_unstemmed Classification Scheme of Heating Risk during MRI Scans on Patients with Orthopaedic Prostheses
title_short Classification Scheme of Heating Risk during MRI Scans on Patients with Orthopaedic Prostheses
title_sort classification scheme of heating risk during mri scans on patients with orthopaedic prostheses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406867/
https://www.ncbi.nlm.nih.gov/pubmed/36010224
http://dx.doi.org/10.3390/diagnostics12081873
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