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Evaluation of a Workflow to Define Low Specific Absorption Rate MRI Protocols for Patients With Active Implantable Medical Devices.
Martinez, Jessica A; Moulin, Kévin; Yoo, Bryan; Shi, Yu; Kim, Hyun J; Villablanca, Pablo J; Ennis, Daniel B.
Affiliation
  • Martinez JA; Department of Bioengineering, University of California, Los Angeles, California, USA.
  • Moulin K; Department of Radiological Sciences, University of California, Los Angeles, California, USA.
  • Yoo B; Department of Radiology, Stanford University, Stanford, California, USA.
  • Shi Y; Department of Radiological Sciences, University of California, Los Angeles, California, USA.
  • Kim HJ; Department of Radiological Sciences, University of California, Los Angeles, California, USA.
  • Villablanca PJ; Department of Radiological Sciences, University of California, Los Angeles, California, USA.
  • Ennis DB; Department of Radiological Sciences, University of California, Los Angeles, California, USA.
J Magn Reson Imaging ; 52(1): 91-102, 2020 07.
Article in En | MEDLINE | ID: mdl-31922311
ABSTRACT

BACKGROUND:

MRI exams for patients with MR-conditional active implantable medical devices (AIMDs) are contraindicated unless specific conditions are met. This limits the maximum specific absorption rate (SAR, W/kg). Currently, there is no general framework to guide meeting a lower SAR limit.

PURPOSE:

To design and evaluate a workflow for modifying MRI protocols to whole-body SAR (WB-SAR ≤0.1 W/kg) and local-head SAR (LH-SAR ≤0.3 W/kg) limits while mitigating the impact on image quality and exam time. STUDY TYPE Prospective. POPULATION Twenty healthy volunteers on head (n = 5), C-spine (n = 5), T-spine (n = 5), and L-spine (n = 5) with IRB consent. ASSESSMENT Vendor-provided head, C-spine, T-spine, and L-spine protocols (SARRT ) were modified to meet both low SAR targets (SARLOW ) using the proposed workflow. in vitro SNR and CNR were evaluated with a T1 -T2 phantom. in vivo image quality and clinical acceptability were scored using a 5-point Likert scale for two blinded readers. FIELD STRENGTH/SEQUENCES 1.5T/spin-echoes, gradient-echoes. STATISTICAL

ANALYSIS:

In vitro SNR and CNR values were evaluated with a repeated measures general linear model. in vivo image quality and clinical acceptability were evaluated using a generalized estimating equation analysis (GEE). The two reader's level of agreement was analyzed using Cohen's kappa statistical analysis.

RESULTS:

Using the workflow, SAR limits were met. LH-SAR 0.12 ± 0.02 W/kg, median (SD) values for LH-SAR were 0.12 (0.02) W/kg and WB-SAR 0.09 (0.01) W/kg. Examination time did not increase ≤2x the initial time. SARRT SNR values were higher and significantly different than SARLOW (P < 0.05). However, no significant difference was observed between the CNR values (value = 0.21). Median (IQR) CNR values were 14.2 (25.0) vs. 15.1 (9.2) for head, 12.1 (16.9) vs. 25.3 (14.2) for C-spine, 81.6 (70.1) vs. 71.0 (26.6) for T-spine, and 51.4 (52.6) vs. 37.7 (27.3) for L-spine. Image quality scores were not significantly different between SARRT and SARLOW (median [SD] scores were 4.0 [0.01] vs. 4.3 [0.2], P > 0.05). DATA

CONCLUSION:

The proposed workflow provides guidance for modifying routine MRI exams to achieve low SAR limits. This can benefit patients referred for an MRI exam with low SAR MR-conditional AIMDs. LEVEL OF EVIDENCE 1 Technical Efficacy Stage 5 J. Magn. Reson. Imaging 2020;5291-102.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostheses and Implants / Magnetic Resonance Imaging Type of study: Guideline / Observational_studies / Prognostic_studies Limits: Humans Language: En Journal: J Magn Reson Imaging Journal subject: DIAGNOSTICO POR IMAGEM Year: 2020 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostheses and Implants / Magnetic Resonance Imaging Type of study: Guideline / Observational_studies / Prognostic_studies Limits: Humans Language: En Journal: J Magn Reson Imaging Journal subject: DIAGNOSTICO POR IMAGEM Year: 2020 Document type: Article Affiliation country: United States