Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Skeletal radiology 2019, Vol.48 (1), p.89-101
Main Authors: Heilmeier, Ursula, Wamba, John Mbapte, Joseph, Gabby B., Darakananda, Karin, Callan, Jennifer, Neumann, Jan, Link, Thomas M.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c4204-36ce438d30d0628abd8038d5c7192b28ac8d226b98a10e92f102a437e91db4003
cites cdi_FETCH-LOGICAL-c4204-36ce438d30d0628abd8038d5c7192b28ac8d226b98a10e92f102a437e91db4003
container_end_page 101
container_issue 1
container_start_page 89
container_title Skeletal radiology
container_volume 48
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 &amp; 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 &amp; 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 &amp; 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 &amp; Calcified Tissue Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>ProQuest Health &amp; 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 &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Biological Science Journals</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; 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>
fulltext fulltext
identifier ISSN: 0364-2348
ispartof Skeletal radiology, 2019, Vol.48 (1), p.89-101
issn 0364-2348
1432-2161
language eng
recordid cdi_proquest_miscellaneous_2063733796
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T04%3A28%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Baseline%20knee%20joint%20effusion%20and%20medial%20femoral%20bone%20marrow%20edema,%20in%20addition%20to%20MRI-based%20T2%20relaxation%20time%20and%20texture%20measurements%20of%20knee%20cartilage,%20can%20help%20predict%20incident%20total%20knee%20arthroplasty%204%E2%80%937%C2%A0years%20later:%20data%20from%20the%20Osteoarthritis%20Initiative&rft.jtitle=Skeletal%20radiology&rft.au=Heilmeier,%20Ursula&rft.date=2019&rft.volume=48&rft.issue=1&rft.spage=89&rft.epage=101&rft.pages=89-101&rft.issn=0364-2348&rft.eissn=1432-2161&rft_id=info:doi/10.1007/s00256-018-2995-4&rft_dat=%3Cgale_proqu%3EA731337512%3C/gale_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c4204-36ce438d30d0628abd8038d5c7192b28ac8d226b98a10e92f102a437e91db4003%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2062043350&rft_id=info:pmid/29961091&rft_galeid=A731337512&rfr_iscdi=true