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Tissue‐Specific T(2)* Biomarkers in Patellar Tendinopathy by Subregional Quantification Using 3D Ultrashort Echo Time MRI

BACKGROUND: Quantitative MRI of patellar tendinopathy (PT) can be challenging due to spatial variation of T(2)* relaxation times. PURPOSE: 1) To compare T(2)* quantification using a standard approach with analysis in specific tissue compartments of the patellar tendon. 2) To evaluate test–retest rel...

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Autores principales: Breda, Stephan J., Poot, Dirk H.J., Papp, Dorottya, de Vries, Bas A., Kotek, Gyula, Krestin, Gabriel P., Hernández‐Tamames, Juan A., de Vos, Robert‐Jan, Oei, Edwin H.G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496783/
https://www.ncbi.nlm.nih.gov/pubmed/32108398
http://dx.doi.org/10.1002/jmri.27108
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author Breda, Stephan J.
Poot, Dirk H.J.
Papp, Dorottya
de Vries, Bas A.
Kotek, Gyula
Krestin, Gabriel P.
Hernández‐Tamames, Juan A.
de Vos, Robert‐Jan
Oei, Edwin H.G.
author_facet Breda, Stephan J.
Poot, Dirk H.J.
Papp, Dorottya
de Vries, Bas A.
Kotek, Gyula
Krestin, Gabriel P.
Hernández‐Tamames, Juan A.
de Vos, Robert‐Jan
Oei, Edwin H.G.
author_sort Breda, Stephan J.
collection PubMed
description BACKGROUND: Quantitative MRI of patellar tendinopathy (PT) can be challenging due to spatial variation of T(2)* relaxation times. PURPOSE: 1) To compare T(2)* quantification using a standard approach with analysis in specific tissue compartments of the patellar tendon. 2) To evaluate test–retest reliability of different methods for fitting ultrashort echo time (UTE)‐relaxometry data. STUDY TYPE: Prospective. SUBJECTS: Sixty‐five athletes with PT. FIELD STRENGTH/SEQUENCE: 3D UTE scans covering the patellar tendon were acquired using a 3.0T scanner and a 16‐channel surface coil. ASSESSMENT: Voxelwise median T(2)* was quantified with monoexponential, fractional‐order, and biexponential fitting. We applied two methods for T(2)* analysis: first, a standard approach by analyzing all voxels covering the proximal patellar tendon. Second, within subregions of the patellar tendon, by using thresholds on biexponential fitting parameter percentage short T(2)* (0–30% for mostly long T(2)*, 30–60% for mixed T(2)*, and 60–100% for mostly short T(2)*). STATISTICAL TESTS: Average test–retest reliability was assessed in three athletes using coefficients‐of‐variation (CV) and coefficients‐of‐repeatability (CR). RESULTS: With standard image analysis, we found a median [interquartile range, IQR] monoexponential T(2)* of 6.43 msec [4.32–8.55] and fractional order T(2)* 4.39 msec [3.06–5.78]. The percentage of short T(2)* components was 52.9% [35.5–69.6]. Subregional monoexponential T(2)* was 13.78 msec [12.11–16.46], 7.65 msec [6.49–8.61], and 3.05 msec [2.52–3.60] and fractional order T(2)* 11.82 msec [10.09–14.44], 5.14 msec [4.25–5.96], and 2.19 msec [1.82–2.64] for 0–30%, 30–60%, and 60–100% short T(2)*, respectively. Biexponential component short T(2)* was 1.693 msec [1.417–2.003] for tissue with mostly short T(2)* and long T(2)* of 15.79 msec [13.47–18.61] for mostly long T(2)*. The average CR (CV) was 2 msec (15%), 2 msec (19%) and 10% (22%) for monoexponential, fractional order and percentage short T(2)*, respectively. DATA CONCLUSION: Patellar tendinopathy is characterized by regional variability in binding states of water. Quantitative multicompartment T(2)* analysis in PT can be facilitated using a voxel selection method based on using biexponential fitting parameters. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY STAGE: 1 J. Magn. Reson. Imaging 2020;52:420–430.
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spelling pubmed-74967832020-09-25 Tissue‐Specific T(2)* Biomarkers in Patellar Tendinopathy by Subregional Quantification Using 3D Ultrashort Echo Time MRI Breda, Stephan J. Poot, Dirk H.J. Papp, Dorottya de Vries, Bas A. Kotek, Gyula Krestin, Gabriel P. Hernández‐Tamames, Juan A. de Vos, Robert‐Jan Oei, Edwin H.G. J Magn Reson Imaging Original Research BACKGROUND: Quantitative MRI of patellar tendinopathy (PT) can be challenging due to spatial variation of T(2)* relaxation times. PURPOSE: 1) To compare T(2)* quantification using a standard approach with analysis in specific tissue compartments of the patellar tendon. 2) To evaluate test–retest reliability of different methods for fitting ultrashort echo time (UTE)‐relaxometry data. STUDY TYPE: Prospective. SUBJECTS: Sixty‐five athletes with PT. FIELD STRENGTH/SEQUENCE: 3D UTE scans covering the patellar tendon were acquired using a 3.0T scanner and a 16‐channel surface coil. ASSESSMENT: Voxelwise median T(2)* was quantified with monoexponential, fractional‐order, and biexponential fitting. We applied two methods for T(2)* analysis: first, a standard approach by analyzing all voxels covering the proximal patellar tendon. Second, within subregions of the patellar tendon, by using thresholds on biexponential fitting parameter percentage short T(2)* (0–30% for mostly long T(2)*, 30–60% for mixed T(2)*, and 60–100% for mostly short T(2)*). STATISTICAL TESTS: Average test–retest reliability was assessed in three athletes using coefficients‐of‐variation (CV) and coefficients‐of‐repeatability (CR). RESULTS: With standard image analysis, we found a median [interquartile range, IQR] monoexponential T(2)* of 6.43 msec [4.32–8.55] and fractional order T(2)* 4.39 msec [3.06–5.78]. The percentage of short T(2)* components was 52.9% [35.5–69.6]. Subregional monoexponential T(2)* was 13.78 msec [12.11–16.46], 7.65 msec [6.49–8.61], and 3.05 msec [2.52–3.60] and fractional order T(2)* 11.82 msec [10.09–14.44], 5.14 msec [4.25–5.96], and 2.19 msec [1.82–2.64] for 0–30%, 30–60%, and 60–100% short T(2)*, respectively. Biexponential component short T(2)* was 1.693 msec [1.417–2.003] for tissue with mostly short T(2)* and long T(2)* of 15.79 msec [13.47–18.61] for mostly long T(2)*. The average CR (CV) was 2 msec (15%), 2 msec (19%) and 10% (22%) for monoexponential, fractional order and percentage short T(2)*, respectively. DATA CONCLUSION: Patellar tendinopathy is characterized by regional variability in binding states of water. Quantitative multicompartment T(2)* analysis in PT can be facilitated using a voxel selection method based on using biexponential fitting parameters. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY STAGE: 1 J. Magn. Reson. Imaging 2020;52:420–430. John Wiley & Sons, Inc. 2020-02-28 2020-08 /pmc/articles/PMC7496783/ /pubmed/32108398 http://dx.doi.org/10.1002/jmri.27108 Text en © 2020 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Breda, Stephan J.
Poot, Dirk H.J.
Papp, Dorottya
de Vries, Bas A.
Kotek, Gyula
Krestin, Gabriel P.
Hernández‐Tamames, Juan A.
de Vos, Robert‐Jan
Oei, Edwin H.G.
Tissue‐Specific T(2)* Biomarkers in Patellar Tendinopathy by Subregional Quantification Using 3D Ultrashort Echo Time MRI
title Tissue‐Specific T(2)* Biomarkers in Patellar Tendinopathy by Subregional Quantification Using 3D Ultrashort Echo Time MRI
title_full Tissue‐Specific T(2)* Biomarkers in Patellar Tendinopathy by Subregional Quantification Using 3D Ultrashort Echo Time MRI
title_fullStr Tissue‐Specific T(2)* Biomarkers in Patellar Tendinopathy by Subregional Quantification Using 3D Ultrashort Echo Time MRI
title_full_unstemmed Tissue‐Specific T(2)* Biomarkers in Patellar Tendinopathy by Subregional Quantification Using 3D Ultrashort Echo Time MRI
title_short Tissue‐Specific T(2)* Biomarkers in Patellar Tendinopathy by Subregional Quantification Using 3D Ultrashort Echo Time MRI
title_sort tissue‐specific t(2)* biomarkers in patellar tendinopathy by subregional quantification using 3d ultrashort echo time mri
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496783/
https://www.ncbi.nlm.nih.gov/pubmed/32108398
http://dx.doi.org/10.1002/jmri.27108
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