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Baseline knee joint effusion and medial femoral bone marrow edema, in addition to MRI-based T2 relaxation time and texture measurements of knee cartilage, can help predict incident total knee arthroplasty 4–7 years later: data from the Osteoarthritis Initiative
Objective To evaluate if baseline pathological knee conditions as assessed via single features of the MR-based Whole-Organ Magnetic Resonance Imaging Scoring (WORMS), standard T2, and T2 gray-level co-occurrence matrix (GLCM) texture parameters of knee cartilage can serve as potential long-term radi...
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Published in: | Skeletal radiology 2019, Vol.48 (1), p.89-101 |
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creator | Heilmeier, Ursula Wamba, John Mbapte Joseph, Gabby B. Darakananda, Karin Callan, Jennifer Neumann, Jan Link, Thomas M. |
description | Objective
To evaluate if baseline pathological knee conditions as assessed via single features of the MR-based Whole-Organ Magnetic Resonance Imaging Scoring (WORMS), standard T2, and T2 gray-level co-occurrence matrix (GLCM) texture parameters of knee cartilage can serve as potential long-term radiological predictors of incident total knee arthroplasty (TKA) 4–7 years later.
Materials and methods
Baseline 3-T knee MRIs of 309 subjects from the Osteoarthritis Initiative (
n
= 81 TKA cases, with right-knee TKA 4–7 years after enrolment, and
n
= 228 TKA-free matched controls) were evaluated for the presence and severity of pathological knee conditions via modified WORMS. Knee cartilage was segmented and standard T2 cartilage and T2 GLCM texture measures (contrast, variance) were computed. Statistical analysis employed conditional logistic regression.
Results
We found that a one-point increase on the joint effusion scale, the bone marrow edema scale or on the cartilage lesion scale at baseline predicted incident TKA (ORs: 2.45, 1.65, and 1.37 respectively (
p
≤ 0.003)). For T2 cartilage measurements, we observed that in the lateral femur, a 1-SD increase in T2 relaxation time yielded a 28% increase in the odds of TKA (1.28 [1.09–1.643],
p
= 0.046). When looking at cartilage texture, we similarly noted that a 1-SD increase in the cartilage texture parameter “contrast” was associated with a 33–40% increased risk of incident TKA in the lateral femur and tibia (0.003 ≤
p
≤ 0.021), as was a 1-SD increase in the texture parameter “variance” in the lateral femur (
p
= 0.002).
Conclusion
Radiological evaluation of standard knee MR images via single WORMS features and T2 standard and texture analysis at baseline can help predict the patient’s individual risk for an incident TKA 4–7 years later. |
doi_str_mv | 10.1007/s00256-018-2995-4 |
format | article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_2063733796</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A731337512</galeid><sourcerecordid>A731337512</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4204-36ce438d30d0628abd8038d5c7192b28ac8d226b98a10e92f102a437e91db4003</originalsourceid><addsrcrecordid>eNp1ks1u1DAUhQMCMUPhAdggS2xYNMU_-WVXKn5GKqqEyjpy4psZD4492A50drwDL8Cz8Cg8CTeTQgUCZXET-zvHJ_JJkkeMnjBKy2eBUp4XKWVVyus6T7PbyZJlgqecFexOsqSiyFIusmqR3A9hSykry7y4lyyQLhit2fLW4oUMYLQF8sECkK3TNhLo-zFoZ4m0igygtDSkh8F5nK1DdpDeu88EFAzymGgEldJxUkRH3r5bpS26KnLJiQcjr-S8pQc4OEa4iqNHF5AB5wA2BuL6OUEnfdRGruEYXy3ZgNmRnccMXcSDOq2QxlMiRjnwiG-82xkZ4p5kP758Lb9_24P0gRgZwT8nSkZJeu8GEjdALkIEd9Bg3kBWFgfG-wQPkru9NAEeXs-j5P2rl5dnb9Lzi9ers9PztMs4zVJRdJCJSgmqaMEr2aqK4mfelazmLS50leK8aOtKMgo17xnlMhMl1Ey1GaXiKHk6--68-zhCiM2gQwfGSAtuDA2nhSiFKOsC0Sd_oVs3eovpJgrTCJHTG2otDTTa9i562U2mzWkpGFrljCN18g8KH7xC3eGd9hrX_xCwWdB5F4KHvtl5jfe-bxhtpvY1c_sabF8zta_JUPP4OvDYYm1-K37VDQE-AwG37Br8zR_93_UnKMHoSQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2062043350</pqid></control><display><type>article</type><title>Baseline knee joint effusion and medial femoral bone marrow edema, in addition to MRI-based T2 relaxation time and texture measurements of knee cartilage, can help predict incident total knee arthroplasty 4–7 years later: data from the Osteoarthritis Initiative</title><source>Springer Nature</source><creator>Heilmeier, Ursula ; Wamba, John Mbapte ; Joseph, Gabby B. ; Darakananda, Karin ; Callan, Jennifer ; Neumann, Jan ; Link, Thomas M.</creator><creatorcontrib>Heilmeier, Ursula ; Wamba, John Mbapte ; Joseph, Gabby B. ; Darakananda, Karin ; Callan, Jennifer ; Neumann, Jan ; Link, Thomas M.</creatorcontrib><description>Objective
To evaluate if baseline pathological knee conditions as assessed via single features of the MR-based Whole-Organ Magnetic Resonance Imaging Scoring (WORMS), standard T2, and T2 gray-level co-occurrence matrix (GLCM) texture parameters of knee cartilage can serve as potential long-term radiological predictors of incident total knee arthroplasty (TKA) 4–7 years later.
Materials and methods
Baseline 3-T knee MRIs of 309 subjects from the Osteoarthritis Initiative (
n
= 81 TKA cases, with right-knee TKA 4–7 years after enrolment, and
n
= 228 TKA-free matched controls) were evaluated for the presence and severity of pathological knee conditions via modified WORMS. Knee cartilage was segmented and standard T2 cartilage and T2 GLCM texture measures (contrast, variance) were computed. Statistical analysis employed conditional logistic regression.
Results
We found that a one-point increase on the joint effusion scale, the bone marrow edema scale or on the cartilage lesion scale at baseline predicted incident TKA (ORs: 2.45, 1.65, and 1.37 respectively (
p
≤ 0.003)). For T2 cartilage measurements, we observed that in the lateral femur, a 1-SD increase in T2 relaxation time yielded a 28% increase in the odds of TKA (1.28 [1.09–1.643],
p
= 0.046). When looking at cartilage texture, we similarly noted that a 1-SD increase in the cartilage texture parameter “contrast” was associated with a 33–40% increased risk of incident TKA in the lateral femur and tibia (0.003 ≤
p
≤ 0.021), as was a 1-SD increase in the texture parameter “variance” in the lateral femur (
p
= 0.002).
Conclusion
Radiological evaluation of standard knee MR images via single WORMS features and T2 standard and texture analysis at baseline can help predict the patient’s individual risk for an incident TKA 4–7 years later.</description><identifier>ISSN: 0364-2348</identifier><identifier>EISSN: 1432-2161</identifier><identifier>DOI: 10.1007/s00256-018-2995-4</identifier><identifier>PMID: 29961091</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Arthritis ; Arthroplasty (knee) ; Biocompatibility ; Bone marrow ; Cartilage ; Cartilage diseases ; Dropsy ; Edema ; Effusion ; Femur ; Imaging ; Joint surgery ; Knee ; Magnetic resonance imaging ; Measurement ; Medical research ; Medicine ; Medicine & Public Health ; Medicine, Experimental ; NMR ; Nuclear magnetic resonance ; Nuclear Medicine ; Orthopedics ; Osteoarthritis ; Parameters ; Pathology ; Radiology ; Regression analysis ; Relaxation time ; Scientific Article ; Statistical analysis ; Surgical implants ; Texture ; Tibia ; Variance analysis</subject><ispartof>Skeletal radiology, 2019, Vol.48 (1), p.89-101</ispartof><rights>ISS 2018</rights><rights>COPYRIGHT 2019 Springer</rights><rights>Skeletal Radiology is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4204-36ce438d30d0628abd8038d5c7192b28ac8d226b98a10e92f102a437e91db4003</citedby><cites>FETCH-LOGICAL-c4204-36ce438d30d0628abd8038d5c7192b28ac8d226b98a10e92f102a437e91db4003</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29961091$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Heilmeier, Ursula</creatorcontrib><creatorcontrib>Wamba, John Mbapte</creatorcontrib><creatorcontrib>Joseph, Gabby B.</creatorcontrib><creatorcontrib>Darakananda, Karin</creatorcontrib><creatorcontrib>Callan, Jennifer</creatorcontrib><creatorcontrib>Neumann, Jan</creatorcontrib><creatorcontrib>Link, Thomas M.</creatorcontrib><title>Baseline knee joint effusion and medial femoral bone marrow edema, in addition to MRI-based T2 relaxation time and texture measurements of knee cartilage, can help predict incident total knee arthroplasty 4–7 years later: data from the Osteoarthritis Initiative</title><title>Skeletal radiology</title><addtitle>Skeletal Radiol</addtitle><addtitle>Skeletal Radiol</addtitle><description>Objective
To evaluate if baseline pathological knee conditions as assessed via single features of the MR-based Whole-Organ Magnetic Resonance Imaging Scoring (WORMS), standard T2, and T2 gray-level co-occurrence matrix (GLCM) texture parameters of knee cartilage can serve as potential long-term radiological predictors of incident total knee arthroplasty (TKA) 4–7 years later.
Materials and methods
Baseline 3-T knee MRIs of 309 subjects from the Osteoarthritis Initiative (
n
= 81 TKA cases, with right-knee TKA 4–7 years after enrolment, and
n
= 228 TKA-free matched controls) were evaluated for the presence and severity of pathological knee conditions via modified WORMS. Knee cartilage was segmented and standard T2 cartilage and T2 GLCM texture measures (contrast, variance) were computed. Statistical analysis employed conditional logistic regression.
Results
We found that a one-point increase on the joint effusion scale, the bone marrow edema scale or on the cartilage lesion scale at baseline predicted incident TKA (ORs: 2.45, 1.65, and 1.37 respectively (
p
≤ 0.003)). For T2 cartilage measurements, we observed that in the lateral femur, a 1-SD increase in T2 relaxation time yielded a 28% increase in the odds of TKA (1.28 [1.09–1.643],
p
= 0.046). When looking at cartilage texture, we similarly noted that a 1-SD increase in the cartilage texture parameter “contrast” was associated with a 33–40% increased risk of incident TKA in the lateral femur and tibia (0.003 ≤
p
≤ 0.021), as was a 1-SD increase in the texture parameter “variance” in the lateral femur (
p
= 0.002).
Conclusion
Radiological evaluation of standard knee MR images via single WORMS features and T2 standard and texture analysis at baseline can help predict the patient’s individual risk for an incident TKA 4–7 years later.</description><subject>Arthritis</subject><subject>Arthroplasty (knee)</subject><subject>Biocompatibility</subject><subject>Bone marrow</subject><subject>Cartilage</subject><subject>Cartilage diseases</subject><subject>Dropsy</subject><subject>Edema</subject><subject>Effusion</subject><subject>Femur</subject><subject>Imaging</subject><subject>Joint surgery</subject><subject>Knee</subject><subject>Magnetic resonance imaging</subject><subject>Measurement</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Medicine, Experimental</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Nuclear Medicine</subject><subject>Orthopedics</subject><subject>Osteoarthritis</subject><subject>Parameters</subject><subject>Pathology</subject><subject>Radiology</subject><subject>Regression analysis</subject><subject>Relaxation time</subject><subject>Scientific Article</subject><subject>Statistical analysis</subject><subject>Surgical implants</subject><subject>Texture</subject><subject>Tibia</subject><subject>Variance analysis</subject><issn>0364-2348</issn><issn>1432-2161</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1ks1u1DAUhQMCMUPhAdggS2xYNMU_-WVXKn5GKqqEyjpy4psZD4492A50drwDL8Cz8Cg8CTeTQgUCZXET-zvHJ_JJkkeMnjBKy2eBUp4XKWVVyus6T7PbyZJlgqecFexOsqSiyFIusmqR3A9hSykry7y4lyyQLhit2fLW4oUMYLQF8sECkK3TNhLo-zFoZ4m0igygtDSkh8F5nK1DdpDeu88EFAzymGgEldJxUkRH3r5bpS26KnLJiQcjr-S8pQc4OEa4iqNHF5AB5wA2BuL6OUEnfdRGruEYXy3ZgNmRnccMXcSDOq2QxlMiRjnwiG-82xkZ4p5kP758Lb9_24P0gRgZwT8nSkZJeu8GEjdALkIEd9Bg3kBWFgfG-wQPkru9NAEeXs-j5P2rl5dnb9Lzi9ers9PztMs4zVJRdJCJSgmqaMEr2aqK4mfelazmLS50leK8aOtKMgo17xnlMhMl1Ey1GaXiKHk6--68-zhCiM2gQwfGSAtuDA2nhSiFKOsC0Sd_oVs3eovpJgrTCJHTG2otDTTa9i562U2mzWkpGFrljCN18g8KH7xC3eGd9hrX_xCwWdB5F4KHvtl5jfe-bxhtpvY1c_sabF8zta_JUPP4OvDYYm1-K37VDQE-AwG37Br8zR_93_UnKMHoSQ</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Heilmeier, Ursula</creator><creator>Wamba, John Mbapte</creator><creator>Joseph, Gabby B.</creator><creator>Darakananda, Karin</creator><creator>Callan, Jennifer</creator><creator>Neumann, Jan</creator><creator>Link, Thomas M.</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>2019</creationdate><title>Baseline knee joint effusion and medial femoral bone marrow edema, in addition to MRI-based T2 relaxation time and texture measurements of knee cartilage, can help predict incident total knee arthroplasty 4–7 years later: data from the Osteoarthritis Initiative</title><author>Heilmeier, Ursula ; Wamba, John Mbapte ; Joseph, Gabby B. ; Darakananda, Karin ; Callan, Jennifer ; Neumann, Jan ; Link, Thomas M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4204-36ce438d30d0628abd8038d5c7192b28ac8d226b98a10e92f102a437e91db4003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Arthritis</topic><topic>Arthroplasty (knee)</topic><topic>Biocompatibility</topic><topic>Bone marrow</topic><topic>Cartilage</topic><topic>Cartilage diseases</topic><topic>Dropsy</topic><topic>Edema</topic><topic>Effusion</topic><topic>Femur</topic><topic>Imaging</topic><topic>Joint surgery</topic><topic>Knee</topic><topic>Magnetic resonance imaging</topic><topic>Measurement</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Medicine, Experimental</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Nuclear Medicine</topic><topic>Orthopedics</topic><topic>Osteoarthritis</topic><topic>Parameters</topic><topic>Pathology</topic><topic>Radiology</topic><topic>Regression analysis</topic><topic>Relaxation time</topic><topic>Scientific Article</topic><topic>Statistical analysis</topic><topic>Surgical implants</topic><topic>Texture</topic><topic>Tibia</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Heilmeier, Ursula</creatorcontrib><creatorcontrib>Wamba, John Mbapte</creatorcontrib><creatorcontrib>Joseph, Gabby B.</creatorcontrib><creatorcontrib>Darakananda, Karin</creatorcontrib><creatorcontrib>Callan, Jennifer</creatorcontrib><creatorcontrib>Neumann, Jan</creatorcontrib><creatorcontrib>Link, Thomas M.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace 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Journals</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Skeletal radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Heilmeier, Ursula</au><au>Wamba, John Mbapte</au><au>Joseph, Gabby B.</au><au>Darakananda, Karin</au><au>Callan, Jennifer</au><au>Neumann, Jan</au><au>Link, Thomas M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Baseline knee joint effusion and medial femoral bone marrow edema, in addition to MRI-based T2 relaxation time and texture measurements of knee cartilage, can help predict incident total knee arthroplasty 4–7 years later: data from the Osteoarthritis Initiative</atitle><jtitle>Skeletal radiology</jtitle><stitle>Skeletal Radiol</stitle><addtitle>Skeletal Radiol</addtitle><date>2019</date><risdate>2019</risdate><volume>48</volume><issue>1</issue><spage>89</spage><epage>101</epage><pages>89-101</pages><issn>0364-2348</issn><eissn>1432-2161</eissn><abstract>Objective
To evaluate if baseline pathological knee conditions as assessed via single features of the MR-based Whole-Organ Magnetic Resonance Imaging Scoring (WORMS), standard T2, and T2 gray-level co-occurrence matrix (GLCM) texture parameters of knee cartilage can serve as potential long-term radiological predictors of incident total knee arthroplasty (TKA) 4–7 years later.
Materials and methods
Baseline 3-T knee MRIs of 309 subjects from the Osteoarthritis Initiative (
n
= 81 TKA cases, with right-knee TKA 4–7 years after enrolment, and
n
= 228 TKA-free matched controls) were evaluated for the presence and severity of pathological knee conditions via modified WORMS. Knee cartilage was segmented and standard T2 cartilage and T2 GLCM texture measures (contrast, variance) were computed. Statistical analysis employed conditional logistic regression.
Results
We found that a one-point increase on the joint effusion scale, the bone marrow edema scale or on the cartilage lesion scale at baseline predicted incident TKA (ORs: 2.45, 1.65, and 1.37 respectively (
p
≤ 0.003)). For T2 cartilage measurements, we observed that in the lateral femur, a 1-SD increase in T2 relaxation time yielded a 28% increase in the odds of TKA (1.28 [1.09–1.643],
p
= 0.046). When looking at cartilage texture, we similarly noted that a 1-SD increase in the cartilage texture parameter “contrast” was associated with a 33–40% increased risk of incident TKA in the lateral femur and tibia (0.003 ≤
p
≤ 0.021), as was a 1-SD increase in the texture parameter “variance” in the lateral femur (
p
= 0.002).
Conclusion
Radiological evaluation of standard knee MR images via single WORMS features and T2 standard and texture analysis at baseline can help predict the patient’s individual risk for an incident TKA 4–7 years later.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>29961091</pmid><doi>10.1007/s00256-018-2995-4</doi><tpages>13</tpages></addata></record> |
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source | Springer Nature |
subjects | Arthritis Arthroplasty (knee) Biocompatibility Bone marrow Cartilage Cartilage diseases Dropsy Edema Effusion Femur Imaging Joint surgery Knee Magnetic resonance imaging Measurement Medical research Medicine Medicine & Public Health Medicine, Experimental NMR Nuclear magnetic resonance Nuclear Medicine Orthopedics Osteoarthritis Parameters Pathology Radiology Regression analysis Relaxation time Scientific Article Statistical analysis Surgical implants Texture Tibia Variance analysis |
title | Baseline knee joint effusion and medial femoral bone marrow edema, in addition to MRI-based T2 relaxation time and texture measurements of knee cartilage, can help predict incident total knee arthroplasty 4–7 years later: data from the Osteoarthritis Initiative |
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