r e v b r a s o r t o p . 2014;49(2):174–177
w w w . r b o . o r g . b r
Original
Article
Do
computed
tomography
and
its
3D
reconstruction
increase
the
reproducibility
of
classifications
of
fractures
of
the
proximal
extremity
of
the
humerus?
夽
,
夽夽
Thaís
Matsushigue,
Valmir
Pagliaro
Franco,
Rafael
Pierami
∗,
Marcel
Jun
Sugawara
Tamaoki,
Nicola
Archetti
Netto,
Marcelo
Hide
Matsumoto
UniversidadeFederaldeSãoPaulo,SãoPaulo,SP,Brazil
a
r
t
i
c
l
e
i
n
f
o
Articlehistory:
Received4September2012 Accepted1August2013 Availableonline27March2014
Keywords:
Fracturesofthe humerus/radiography Fracturesofthe humerus/classification Tomography
a
b
s
t
r
a
c
t
Objective:todeterminewhether3Dreconstructionimagesfromcomputedtomography(CT)
increasetheinterandintraobserveragreementoftheNeerandArbeitsgemeinschaftfür Osteosynthesefragen(AO)classificationsystems.
Methods:radiographic images and tomographic images with 3D reconstruction were
obtainedinthreeshoulderpositionsandwereanalyzedontwooccasionsbyfour inde-pendentobservers.
Results:theradiographicevaluationdemonstratedthatusingCTimprovedtheinterand
intraobserveragreementoftheNeerclassification.ThiswasnotseenwiththeAO classifi-cation,inwhichCTwasonlyshowntoincreasetheinterobserveragreement.
Conclusion:useof3DCTallowsbetterevaluationoffractureswithregardtotheircomponent
partsandtheirdisplacements,butneverthelesstheintraobserveragreementpresentedis lessthanideal.
©2014SociedadeBrasileiradeOrtopediaeTraumatologia.PublishedbyElsevierEditora Ltda.Allrightsreserved.
A
tomografia
computadorizada
e
sua
reconstruc¸ão
3D
aumentam
a
reprodutibilidade
das
classificac¸ões
das
fraturas
da
extremidade
proximal
do
úmero?
Palavras-chave:
Fraturasdoúmero/radiografia Fraturasdoúmero/classificac¸ão Tomografia
r
e
s
u
m
o
Objetivo:determinarseasimagensdareconstruc¸ão3Ddatomografiacomputadorizada(TC)
aumentamaconcordânciaintereintraobservadordossistemasdeclassificac¸ãodeNeere ArbeitsgemeinschaftfürOsteosynthesefragen(AO).
夽Pleasecitethisarticleas:MatsushigueT,FrancoVP,PieramiR,TamaokiMJS,NettoNA,MatsumotoMH.Atomografiacomputadorizada
esuareconstruc¸ão3Daumentamareprodutibilidadedasclassificac¸õesdasfraturasdaextremidadeproximaldoúmero?.RevBrasOrtop. 2014;49:174–177.
夽夽
WorkperformedintheDepartmentofOrthopedics,EscolaPaulistadeMedicina,UniversidadeFederaldeSãoPaulo.
∗ Correspondingauthor.
E-mail:rpierami@gmail.com(R.Pierami).
2255-4971/$–seefrontmatter©2014SociedadeBrasileiradeOrtopediaeTraumatologia.PublishedbyElsevierEditoraLtda.Allrightsreserved.
rev bras ortop.2014;49(2):174–177
175
Métodos: foram obtidas imagens radiográficasem três posic¸ões do ombro e imagens
tomográficascomreconstruc¸ão3D,queforamanalisadasemdoistemposporquatro obser-vadoresindependentes.
Resultados: aavaliac¸ãoradiográficademonstrouqueousodaTCmelhoraa
concordân-ciaintraeinterobservadoresparaaclassificac¸ãodeNeer.Omesmonãofoiobservadona classificac¸ãoAO,naqualaTCdemonstrouaumentosomentedaconcordância interobser-vadores.
Conclusão: ousodeTC3Dpermiteumamelhoravaliac¸ãodafraturaquantoàspartesquea
compõemeaosseusdesvios,masmesmoassimapresentaumaconcordância intraobser-vadoresmenordoqueaideal.
©2014SociedadeBrasileiradeOrtopediaeTraumatologia.PublicadoporElsevier EditoraLtda.Todososdireitosreservados.
Introduction
Fracturesoftheproximalextremityofthehumerushavean incidenceofapproximately63–105per100,000peryear1–4and accountfor5%ofallinjuriestotheappendicularskeleton.4,5 Their incidenceislowamongindividualsunder theage of 40 years and increases exponentially afterthis age. There isgreaterprevalenceofthesefracturesamongwomen,and female cases account for around 70–80%.1–5 The charac-teristics of the fracture (line, location, joint involvement, comminution and degree of soft-tissue involvement) are directlyrelatedtotheforceofthetrauma,positionofthelimb atthetimeofthetraumaandbonequality.6,7
Severalclassificationsystemshavebeendevelopedinan attempttoguidetreatmentsandcompareresults.Fora classi-ficationsystemtobeconsideredgood,itneedstobevalidated, reliableandreproducible,aswell asguidingthetreatment, predictingpossiblecomplicationsandprovidingaprognosis. Furthermore,itshouldfunctionasamechanismfor compar-ingtheresultsobtainedfromthedifferenttypesoftreatment. TheclassificationmethodoftheArbeitsgemeinschaftfür Osteosynthesefragen/AssociationfortheStudyofInternal Fix-ation (AO/ASIF), which was created in1986 and revised in 1990,usesanalphanumericsystemfordividingfracturesof the proximalextremity ofthe humerusinto 27 subgroups. Threebasic typesofinjuryare taken into consideration in this classificationmethod:extra-articular single-focus frac-tures,extra-articularbifocalfracturesandjointfractures.The threegroupsareorganizedinincreasingorder of complex-ityandtreatmentdifficultyandaccordingtotheprognosis. Thisisoneofthemostcompleteclassificationsystems,but itsintra-andinterobserverreproducibilityhavebeenshown tobeproblematicwithregardtothedivisionsbetweengroups andsubgroups.8
Neerused the partsdefined byCodmanto proposethe classificationsystemthattodayismostfrequentlyused.9,10 The four parts of the proximal extremity of the humerus definedinthisclassificationmethodarethegreater tuberos-ity,lessertuberosity,diaphysisofthehumerusandhumeral head.For these partstobeconsidered tobefractured, the fragmentshouldhavea displacementgreater than 1cmor 45◦,exceptforthegreatertuberosity,whichisconsideredto
bea fracturedpart ifthere isa displacement greater than 0.5cmoranangleof45◦. Thus,thefractures canbe
classi-fiedasaffectingone,two,threeorfourparts.Onecriticismof
Neer’sclassificationisthatitdoesnotconsiderthe possibil-ityofglenohumeraldislocationassociatedwiththefracture, whereasthisisencompassedintheAOclassification.
Recently,comestudieshavequestionedthe reproducibil-ityofclassificationsoffracturesoftheproximalextremityof thehumerus.11–16 Themaincriticismoftheseclassification systemsrelatestothedifficultyofassessingthedegreeof dis-placementandangulationthroughusingsimpleradiographs alone. In this regard, computed tomography (CT) provides greaterdetailingoftheinjuryandhasbeenwidelyusedfor evaluatingthesefractures,especiallyinsituationsofgreater complexity.However,this examinationisnotharmless:the patientreceivesahighdoseofradiation.Moreover,its indica-tionsarestillnotwellestablishedanditsbenefitisnotclearly proven.12,13,16
Giventhat treatmentof thesefractures dependson the radiographic evaluationand thatthe classificationsystems mostused(AOandNeer)presentlowreproducibility,11–13we developedthepresentstudywiththeaimofevaluatingthe reproducibilityofthetwoclassificationsystemsmostusedin oursetting,bymeansofradiographyandCTwith3D recon-struction.
Materials
and
methods
ThisstudywassubmittedforappraisalbytheResearchEthics CommitteeoftheFederalUniversityofSãoPaulo(UNIFESP) under the number 0212/11, onFebruary 24,2011, and was approved.
Aretrospectiveanalysiswasconductedonallthepatients withadiagnosisoffracturingoftheproximalextremityofthe humerusattendedintheShoulderandElbowSurgerySector ofHospitalSãoPaulo,UNIFESP,betweenAugust2009andApril 2012.
176
rev bras ortop.2014;49(2):174–177regionstudiedandthosepresentingfracturesthatwere con-sideredtobepathologicalwerealsoexcluded.
Theimageswereanalyzedbyfourindependentobservers: onethird-yearresidentinorthopedicsandtraumatology(C); onetraineeorthopedistintheshoulderandelbowsector(B); andtwoorthopedicsandtraumatologyspecialistsinthefield ofshoulder and elbowsurgery (Aand D). These observers independentlyclassifiedthefracturesinaccordancewiththe AO/ASIFandNeerclassificationmethods,bymeansof anal-ysis on images that had previously been digitized. These analysesweredonetwice,attwoseparatetimeswitha one-week interval between them. At the two evaluations, the imageswere randomizedinto different sequences soas to avoidbias.
Thedataweregatheredandsubjectedtostatistical anal-ysis. The kappa coefficient () was obtained in order to
determinethe inter- and intraobserver concordanceofthe classifications.Thekappavaluesvariedfrom−1to+1;values
between−1and0indicatedthattheconcordancewasless
thanexpectedandattributablepurelytochance;valuesof0 indicatedthattheconcordancewithsimilartochance;and valuesof+1indicatedtotalconcordance.Generally,valuesof 0.5areconsideredtobeunsatisfactory,valuesbetween0.5and 0.75aresatisfactoryandappropriateandvaluesgreaterthan 0.75areexcellent.17
Results
The method with greatest interobserver concordance was the Neer classification using CT (=0.57). CT provided
greater interobserver concordance in both classifications
(Table1).
Inrelationtointraobserverconcordance,noincreasewas observedthroughusingCT appliedtotheAOclassification (=0.39forradiographyand=0.33forCT).However,forthe
Neerclassification,therewasanincreaseinthisconcordance (=0.45forradiographyand=0.56forCT)(Table2).
Table1–Interobserverconcordanceusingradiography andCTexaminationswiththeNeerandAO
classificationsystems.
Examination Classification Kappa
Radiography Neer 0.37
AO 0.25
Tomography Neer 0.57
AO 0.36
Table2–MeanintraobserverconcordancefortheNeer andAOclassificationsystemswhenCTandX-ray examinationswereused.
Examination Classification Kappa
Radiography Neer 0.45
AO 0.39
Tomography Neer 0.56
AO 0.33
Discussion
Overrecentdecades,withtheintroductionofnew technolo-giesfordiagnosingfracturesoftheproximalextremityofthe humerus, it has been askedwhether using CT with three-dimensional reconstruction (3D CT) might providebenefits withregardtoidentifyingthefracturepatternandguidingthe typeoftreatmenttouse.11–16 However,CTisnotaharmless method,becauseitexposesthepatienttoahighdoseof radi-ation.Moreover,thecostofthismethodisstillmuchhigher thanthatofsimpleradiography.Forthesereasons,new stud-iesshouldbeconductedtodefinetheusefulnessandpossible indicationsforusingCT.
In our study, the interobserver concordance using the Neer classification by means of radiographs was unsatis-factory (=0.37). This finding is in agreement with other
published studies thathad this aim.12,13,18 When the eval-uation was done using CT, the interobserver concordance became satisfactory (=0.57), asalso seenin other studies
alreadypublished,12,13whichjustifiestheuseofCT.Inrelation totheAOclassification,thevaluesfoundusingradiography and CT were considered tobe unsatisfactory, eventhough therewasanincreaseinthekappavalue(=0.25for
radio-graphyand =0.36forCT).Theseunsatisfactoryvaluescan
perhapsbeexplainedbythecomplexityoftheclassification system.Thesameisobservedwhenthesystemisusedto clas-sifyfracturesinothersegments,suchasthedistalextremity oftheradius,theankleorthefemoralneck.19–22
In relationtointerobserver concordance,CT wasshown tobeusefulwhentheNeerclassificationwasused,and pro-ducedasatisfactoryvalue(=0.56).Thishasalsobeenshown
byotherstudies.11,12,18FortheAOclassification,CTwasnot showntobeusefulandledtoadecreaseinthekappavalue (from 0.39to0.33), whichperhapscanbeexplainedbythe complexityoftheclassificationsystem,asdiscussedearlier.
Thus,ourstudydemonstratedthattheNeerclassification wasmorereproduciblewhenCTwith3Dreconstructionwas used,whichthereforejustifiesitsuseinclassifyingfractures oftheproximalextremityofthehumerus,whichiswhatitis mostusedforinoursetting.Nonetheless,inabsolutevalues, thereproducibilitystillremainslow.Thiswasnotobserved whentheAOclassificationwasused.
rev bras ortop.2014;49(2):174–177
177
Conclusion
CTwith3Dreconstructionimprovedtheintra-and interob-serverconcordancefortheNeerclassificationmethod.This wasnotobservedfortheAOclassificationsystem,inwhich onlyinterobserverconcordancewasseentoimprovewiththe useofCTwith3Dreconstruction.
Conflicts
of
interest
Theauthorsdeclarenoconflictsofinterest.
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e
s
1. Court-BrownCM,GargA,McQueenMM.Theepidemiologyof
proximalhumeralfractures.ActaOrthopScand.
2001;72(4):365–71.
2. HorakJ,NilssonBE.Epidemiologyoffractureoftheupperend
ofthehumerus.ClinOrthopRelatRes.1975;(112):250–3.
3. KristiansenB,BarfodG,BredesenJ,Erin-MadsenJ,GrumB,
HorsnaesMW,etal.Epidemiologyofproximalhumeral
fractures.ActaOrthopScand.1987;58(1):75–7.
4. LindT,KrønerK,JensenJ.Theepidemiologyoffracturesof
theproximalhumerus.ArchOrthopTraumaSurg.
1989;108(5):285–7.
5. Court-BrownCM,CaesarB.Epidemiologyofadultfractures:a
review.Injury.2006;37(8):691–7.
6. PalvanenM,KannusP,ParkkariJ,PitkäjärviT,PasanenM,
VuoriI,etal.Theinjurymechanismsofosteoporoticupper
extremityfracturesamongolderadults:acontrolledstudyof
287consecutivepatientsandtheir108controls.Osteoporos
Int.2000;11(10):822–31.
7. MillsHJ,HorneG.Fracturesoftheproximalhumerusin
adults.JTrauma.1985;25(8):801–5.
8. MarshJL,SlongoTF,AgelJ,BroderickJS,CreeveyW,DeCoster
TA,etal.Fractureanddislocationclassificationcompendium
–2007OrthopaedicTraumaAssociationclassification,
database,andoutcomescommittee.JOrthopTrauma.2007;21
Suppl.10:S1–133.
9. NeerCS.Displacedproximalhumeralfractures.I.
Classificationandevaluation.JBoneJointSurgAm.
1970;52(6):1077–89,2nd.
10.NeerCS.Four-segmentclassificationofproximalhumeral
fractures:purposeandreliableuse.JShoulderElbowSurg.
2002;11(4):389–400,2nd.
11.BernsteinJ,AdlerLM,BlankJE,DalseyRM,WilliamsGR,
IannottiJP.EvaluationoftheNeersystemofclassificationof
proximalhumeralfractureswithcomputerizedtomographic
scansandplainradiographs.JBoneJointSurgAm.
1996;78(9):1371–5.
12.BrunnerA,HonigmannP,TreumannT,BabstR.Theimpactof
stereo-visualisationofthree-dimensionalCTdatasetsonthe
inter-andintraobserverreliabilityoftheAO/OTAandNeer
classificationsintheassessmentoffracturesoftheproximal
humerus.JBoneJointSurgBr.2009;91(6):
766–71.
13.ForooharA,TostiR,RichmondJM,GaughanJP,IlyasAM.
Classificationandtreatmentofproximalhumerusfractures:
inter-observerreliabilityandagreementacrossimaging
modalitiesandexperience.JOrthopSurgRes.201129;6:
38.
14.SiebenrockKA,GerberC.Thereproducibilityofclassification
offracturesoftheproximalendofthehumerus.JBoneJoint
SurgAm.1993;75(12):1751–5.
15.MahadevaD,DiasRG,DeshpandeSV,DattaA,DhillonSS,
SimonsAW.ThereliabilityandreproducibilityoftheNeer
classificationsystem–Digitalradiography(PACS)improves
agreement.Injury.2011;42(4):339–42.
16.SjödénGO,MovinT,AspelinP,GüntnerP,ShalabiA.
3D-radiographicanalysisdoesnotimprovetheNeerandAO
classificationsofproximalhumeralfractures.ActaOrthop
Scand.1999;70(4):325–8.
17.FleissJL,SlakterMJ,FischmanSL,ParkMH,ChiltonNW.
Inter-examinerreliabilityincariestrials.JDentRes.
1979;58(2):604–9.
18.MajedA,MacleodI,BullAM,ZytoK,ReschH,HertelR,etal.
Proximalhumeralfractureclassificationsystemsrevisited.J
ShoulderElbowSurg.2011;20(7):1125–32.
19.MatsunagaFT,TamaokiMJ,CordeiroEF,UeharaA,IkawaMH,
MatsumotoMH,etal.Areclassificationsofproximalradius
fracturesreproducible?BMCMusculoskeletDisord.
2009;10:120.
20.BellotiJC,TamaokiMJ,FrancioziCE,SantosJB,Balbachevsky
D,ChapChapE,etal.Aredistalradiusfractureclassifications
reproducible?Intrainterobserveragreement.SaoPauloMedJ.
2008;126(3):180–5.
21.TenórioR,MattosCA,AraujoLH,BelangeroWD.Análiseda
reprodutibilidadedasclassificac¸õesdeLauge-Hansene
Danis-Weberparafraturasdetornozelo.RevBrasOrtop.
2001;36(1):434–7.
22.GusmãoPD,MothesFC,RubinLA,Gonc¸alvesRZ,TelökenMA,
SchwartsmannCR.Avaliac¸ãodareprodutibilidadeda
classificac¸ãodeGardenparafraturasdocolofemoral.Rev