2017
DOI: 10.1002/mrm.26807
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Off‐resonance based assessment of metallic wear debris near total hip arthroplasty

Abstract: Magnetostatic simulations, theoretical principles, and preliminary histological trends suggest that disassociated cobalt is the source of the observed off-resonance signature. Magn Reson Med 79:1628-1637, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

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Cited by 10 publications
(18 citation statements)
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“…Off‐resonance metallosis scores, or “mScores,” can be generated that take into account the magnitude and size of the identified off‐resonance regions. Higher mScores have been detected in symptomatic individuals 42 . The presence of tissue necrosis, as determined from the evaluation 43 of intra‐operative issue samples, was related to higher mScores.…”
Section: Evaluating Synovial Reactionsmentioning
confidence: 88%
“…Off‐resonance metallosis scores, or “mScores,” can be generated that take into account the magnitude and size of the identified off‐resonance regions. Higher mScores have been detected in symptomatic individuals 42 . The presence of tissue necrosis, as determined from the evaluation 43 of intra‐operative issue samples, was related to higher mScores.…”
Section: Evaluating Synovial Reactionsmentioning
confidence: 88%
“…Tissue magnetism within the defined region was estimated utilizing multispectral raw MAVRIC‐SL data analyzed using previously developed methods 26 . Briefly, the procedure implemented included: …”
Section: Methodsmentioning
confidence: 99%
“…Following the background removal, an off‐resonance detection threshold frequency was set below which particulate deposits cannot be distinguished from normal fat‐water tissue transitions (225 Hz at 1.5 T). Computation of off‐resonance metallosis score, or “mScore," using cluster‐based off‐resonance analysis 26 . As the larger pockets of debris deposition tended to have higher off‐resonance values, cluster volumes and off‐resonance frequency thresholds were incorporated to define the nonlinear grading “mScore" as an exponential function of the two computed metrics.…”
Section: Methodsmentioning
confidence: 99%
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