Article
Reference
Three-dimensional imaging and analysis of entire peripheral nerves after repair and reconstruction
BIKIS, Christos, et al.
Abstract
We wanted to achieve a three-dimensional (3D), non-destructive imaging and automatic post-analysis and evaluation of reconstructed peripheral nerves without involving cutting and staining processes.
BIKIS, Christos, et al . Three-dimensional imaging and analysis of entire peripheral nerves after repair and reconstruction. Journal of Neuroscience Methods , 2018, vol. 295, p. 37-44
PMID : 29179953
DOI : 10.1016/j.jneumeth.2017.11.015
Available at:
http://archive-ouverte.unige.ch/unige:154949
Disclaimer: layout of this document may differ from the published version.
1 / 1
ContentslistsavailableatScienceDirect
Journal of Neuroscience Methods
j ou rn a l h om epa g e : w w w . e l s e v i e r . c o m / l o c a t e / j n e u m e t h
Three-dimensional imaging and analysis of entire peripheral nerves after repair and reconstruction
Christos Bikis
a, Lucas Degrugillier
b, Peter Thalmann
a, Georg Schulz
a, Bert Müller
a,∗∗∗, Simone E. Hieber
a,∗, Daniel F. Kalbermatten
c,d, Srinivas Madduri
b,c,e,∗∗aBiomaterialsScienceCenter,DepartmentofBiomedicalEngineering,UniversityofBasel,Switzerland
bCenterforBioengineeringandRegenerativeMedicine,DepartmentofBiomedicalEngineering,UniversityofBasel,Switzerland
cDepartmentofPlastic,Reconstructive,AestheticandHandSurgery,BaselUniversityHospital,Switzerland
dDepartmentofPathology,BaselUniversityHospital,Switzerland
eDepartmentofBiomedicine,UniversityofBasel,Switzerland
h i g h l i g h t s
•Micro-scaledetailsof3Dnervefiber and vessel reorganization upon repair.
•Distinct differentiation between nerve and connective tissue in a label-freemanner.
•Perineuriummembranes and small capillariesvisualizedwithisotropic 4mresolution.
•Quantitativemeasuresprovedsignif- icance for assessing repair quality, p<0.01.
g r a p h i c a l a b s t r a c t
a r t i c l e i n f o
Articlehistory:
Received26August2017 Receivedinrevisedform 23November2017 Accepted23November2017 Availableonline26November2017
Keywords:
CT
X-raytomography Axonalregeneration Anatomy
Morphology Micrometer Non-destructive Nerveconduits Nervereconstruction 3Dimaging
a b s t r a c t
Background:Wewantedtoachieveathree-dimensional(3D),non-destructiveimagingandautomatic post-analysisandevaluationofreconstructedperipheralnerveswithoutinvolvingcuttingandstaining processes.
Newmethod:Weusedalaboratory-basedmicrocomputedtomographysystemforimaging,aswellasa customanalysisprotocol.Thesamplepreparationwasalsoadaptedinordertoachieve3Dimageswith truemicrometerresolutionandsuitablecontrast.
Results:Analysisoftheacquiredtomogramsenabledthequantitativeassessmentof3Dtissuestructures, i.e.,surfacemorphology,nervefascicles,nervetissuevolume,geometry,andvascularregrowth.The resultingdatashowedsignificantdifferencesbetweenoperatedanimalsandnon-operatedcontrols.
Comparisonwithexistingmethods:Ourapproachavoidsthesamplingerrorassociatedwithconventional 2Dvisualizationapproachesandholdspromiseforautomationoftheanalysisoflargeseriesofdatasets.
Conclusions:Wehavepresentedapotentialwayfor3Dimagingandanalysisofentireregeneratednerves non-destructively,pavingthewayforhigh-throughputanalysisoftherapeuticconditionsoftreating adultnerveinjuries.
©2017TheAuthor(s).PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCC BY-NC-NDlicense(http://creativecommons.org/licenses/by-nc-nd/4.0/).
Abbreviations:NC,nerveconduit;CT,X-raymicrotomography;ROI,regionofinterest;SNR,signal-to-noise-ratio.
∗Correspondingauthorat:BiomaterialsScienceCenter,DepartmentofBiomedicalEngineering,UniversityofBasel,Gewerbestrasse14,4123Allschwil,Switzerland.
∗∗Correspondingauthorat:CenterforBioengineeringandRegenerativeMedicine,DepartmentofBiomedicalEngineering,UniversityHospitalBasel,Spitalstrasse21/Peters- graben4,4031Basel,Switzerland.
∗∗∗Correspondingauthorat:BiomaterialsScienceCenter,DepartmentofBiomedicalEngineering,UniversityofBasel,Gewerbestrasse14,4123Allschwil,Switzerland.
E-mailaddresses:[email protected](B.Müller),[email protected](S.E.Hieber),[email protected](S.Madduri).
https://doi.org/10.1016/j.jneumeth.2017.11.015
0165-0270/©2017TheAuthor(s).PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCCBY-NC-NDlicense(http://creativecommons.org/licenses/by-nc-nd/
4.0/).
38 C.Bikisetal./JournalofNeuroscienceMethods295(2018)37–44 1. Introduction
Peripheralnerveinjuriesconstituteamedicalproblemofcon- siderablesignificance, both intheclinic,aswellas inresearch.
Reportedcasesshowanincreasingprevalence,withseveralhun- dred thousand new patients affected annually (Kingham and Terenghi,2006).Furthermore, thecapacity of thenervous sys- temforself-healingisapriorilimitedcomparedtoothersystems (Hsuetal.,2013).Takentogether,thesetwofactorscontributetoa substantialsocio-economicalburden,associatedwithworkleave, healthcareexpensesandchronicdisability.
Asfarastheexistingtherapeuticinterventionsareconcerned, end-to-endsuturingandautologousnervegraftingarethecurrent choicesoftreatment(Haftek,1976;Stangetal.,2005).Neverthe- less,axonalregenerationveryoftenremainschallengingandthe functionaloutcomeisunsatisfactory.Indetail,end-to-endsutur- ingleadstoareducedstretchingcapacityinalmostoneoutoffour cases,duetomorphologicalandmicro-anatomicalalterationsat thesiteoftheintervention.Thesedrawbacksincludetheeffects of Wallerian degeneration,as well as fibrosisand tissue adhe- sionsoccurringbotharoundandinsidethenerve(Kannanetal., 2005). When the direct end-to-end suturing is not an option, nervegraftingis needed,autologous graftsbeingthegoldstan- dard.Nevertheless,thisapproachisstill associatedwithseveral shortcomingssuchasscarformation,donorsitemorbidity,sizeand modalitymismatch(Johnsonetal.,2005;Weisetal.,2012).
Itisforalltheabovereasonsthatresearchonbiodegradable nerveconduits (NC)hasgained increasingimportanceover the last30years(MadduriandGander,2012).Avarietyofmaterials areusedwithorwithoutgrowthpromotingagents,allowingfor thenervetoregrowinsidetheNC.However,fullfunctionalrecov- eryitselfremainsanunmetchallenge(Yangetal.,2007;Moore etal.,2009).Furthermore,thereturningof functiondependsto someextentontheexact3Dmicroanatomyofthenerve,aswell asthemorphologyoftheconduit-nervecomplex.However,histol- ogy,whichisthegoldstandardofassessinganatomicalrecovery, is inherently2D. Therefore, it shouldideally be complemented bya compatible, 3D approach. Currently, ultrasonography(US) andmagneticresonanceimaging(MRI)arebeingusedinclinical practiceforthe3Dimagingofperipheralnerves,inparticularfor diagnosisandformonitoringperipheralneuropathies(Gargetal., 2017;Wu etal., 2017;Walker,2017;Willsey etal.,2017).The spatialresolution,however,islimitedtoafractionofamillime- ter(Willseyetal.,2017).The3Dimagingofperipheralnervesby USandMRIwithtruemicrometerresolution,however,remains elusive.
Towards this goal, recent developments include the visual- ization of rat sciatic nerves by a laboratory micro computed tomography (CT)system,using Lugol’siodine (Hopkins et al., 2015;Pixleyetal.,2016).Aimingtoeliminatetheneedforacontrast agent,wehaveillustratedtheuseofalaboratoryCTsystemforthe visualizationandquantificationofunstained,paraffin-embedded reconstructednervesinsideacollagenNC(Bikisetal.,2016,2017).
Thevisualizationisperfectlycompatiblewithhistologicalstudies basedonparaffinembedding.Inparticular,thenon-destructive microcomputed tomographymeasurements canbecarried out directlyafterparaffinembeddingandpriortothehistologicaleval- uation,withtheonlyaddedprocessstepofmeltingthecylindrically shapedparaffin-embeddedtissuetoobtainthestandardhistolog- icalparaffinblockforthesubsequenthistologicalsectioning.
In this study,we have improvedboth thespatial resolution andcontrast,achievinghigh-resolution3Dimagingofregenerated nervesbyusingadvancedlaboratory-basedCT,wherethespatial resolutionwasbetterthanthedistancebetweenneighboringslices fortypicalhistologicalsectioning.Forthis,wepreparedcollagenNC andimplantedtheminratstobridgea10mm-longsciaticnervegap
injury.Threemonthspost-operatively, regeneratednerve tissue wasexplantedandprocessedforimaging.Theincreaseinspatial resolutionwascoupledwithanincreaseinthecontrastdifference betweenanatomicalstructures,owingtoanimprovedscanning anddatatreatmentprocedure.Thus,theenhancedimagequality appearstobesufficienttoassesstheregeneratedperipheralnerves ina truly3Dway,downtothetruemicrometerlevel. Hopkins etal.(2015)havealreadydemonstratedaclearrelationbetween theanatomicalfeaturesofexaminednervesrecognizedinmicro computedtomographyandhistology.Asconsequence,theauthors havefocusedthestudyonthethree-dimensionalCTimages.For theinvestigatednerves,surfacelandmarksofthesamplecanalso beidentified,allowingfortheselectionoftheoptimalcuttingplane forthehistologicalslices(Stalderetal.,2014).Thisstudypavesthe wayforthestandardizationofthenon-destructivemonitoringof regeneratednervesandeventuallyforhighthroughputanalysisin thefieldofnerveregeneration.
2. Materialsandmethods 2.1. NCfabrication
Collagen NCs were produced using spinning mandrel tech- nology,asillustratedpreviously(Maddurietal.,2010).Insoluble collagen (2.5%, w/w) was swollen in 1M acetic acid and then homogenizedwithahigh-speedmixerat10,000rpm(Polytron®, Kinematica, Lucerne, Switzerland) for a duration of 1min. The homogeneouscollagendispersionwasappliedviaasyringeonto aspinninggold-coatedmandrel(diameterof1.5mm),installedin asidewaysreciprocatingapparatus,andthesolventwasdriedoff underlaminarairflow.Subsequently,theresultingtubeswereneu- tralizedbyincubationin0.1Mdi-sodiumhydrogenphosphate(pH of7.4)for1h.Thetubeswerefinallycutinto14mmlongspec- imens,whichwerecross-linkedbysubjectingthecollagentubes toadehydro-thermaltreatment(DHT)atatemperatureof110◦C anda pressure of20mbar for aperiod of5 days.Theresulting tubesexhibitedanouterandinnerdiameterof2.5mmand1.5mm, respectively.
2.2. Animalexperiments
Allanimalsweretreatedincompliancewiththeethicalpermis- sionapproved(25,212)fromtheVeterinaryOfficeoftheKanton Basel-Stadt(Basel,Switzerland).ThreefemaleSpragueDawleyrats weighing250–300g,abouteightweeksold,werehousedunder standardtemperatureandlightconditions.Leftsciaticnervewas surgicallyoperatedfor creating10mmgap.Theresultingnerve gapwasbridgedusing14mmcollagenNC(Maddurietal.,2010) andexplanted12weekspost-operativelyforoutcomeanalysis.The normalnerves werecollectedfromtheun-operated sideofthe sameanimals,thusrespectingthe3Rsoftheanimalexperimen- tation.
2.3. Standardhistologicalprocessing
Afterexcision,theperipheralnerveswereprocessedfollowinga standardhistologyprotocolforformalinfixation–paraffinembed- ding.Indetail,afterexcision,thenerveswerestraightenedbyfirmly tuggingthemfrombothendsbymeansofsurgicalforceps,fixed inhistology-gradeformalin,anddehydratedinascendingethanol solutions.Subsequently,theyweretransferredtoxylolandthen perfusedin aliquid paraffin–polymermixture(Leica Paraplast).
Thelonghealthynervewascutintwopartsandresultingsegments wereplacedlongitudinallyawayfromeachother,thuscreatingthe gapbetweenthetwonervesegmentsthatmayrepresenttheartifi- cialnervegapcreatedinthepresentstudy.Unlessotherwisestated,
suchgapwasonlyforexperimentalcharacterizationandexcluded fromthefurthermeasurementanalysis.
2.4. ParaffinsampleprocessingspecificforX-rayimaging
Whenliquidparaffinperfusionwascompleted,thenerveswere removedfromthehistologicaltissueprocessor,placedinametal containerandleftfor24hinsideanovenatatemperatureof60◦C.
Thisstep is important in removingthe majority ofair bubbles trappedinside oraroundthespecimen,thatcancause artifacts duringtheX-rayimagingandmakedataanalysismorecomplex.
Afterwards,thespecimenswerethoroughlywashedunderflowing liquidparaffin,toremovehigh-absorbingparticlesordebrisonthe samplesurfacethatwouldaffectimagingquality.Finally,thenerve wasdippedinparaffinseveraltimeswhileholdingfromoneedge, untilauniformcylinder-likespecimenwasformedandthencooled downto4◦Cduringaperiodof15min.
2.5. Mountingofsamplesonholderscompatiblewiththe laboratoryCTsystem
Intheend,theparaffinsamplesweregluedtospecializedmetal sampleholdersusingacyanoacrylateglue.Carewastakentoensure thatthegluewouldcoverasmallareaofthenervebottom.Handling ofthespecimenwasperformedexclusivelybyforcepstoavoid depositsonthesamplesurfacethatwouldcauseimagingartifacts.
Afterthegluesettled,anyexcesswasremovedcarefullybyascalpel andthespecimenswerereadyfortheX-rayimaging.
2.6. Tomographymeasurementsandreconstruction
FortheX-raytomographymeasurements,weusedtheCTlab- oratorysystemphoenixnanotom®m(phoenix|X-ray,GESensing&
InspectionTechnologiesGmbH,Wunstorf,Germany).Anaccelera- tionvoltageof60kVandabeamcurrentof280mAwereselected fortheoperationoftheX-raybeam.Overanangularrangeof360◦, 1800projectionswereacquired.Theeffectivepixelsizewas4m andscanningtimewas2.5hfora1cm-longnerve.Afterreconstruc- tion,the16-bitdatasetisapproximately2GBinsize.
2.7. Datahandlingandvisualization
Fortheorientationwithinthelargedatasetsacquired,acom- merciallyavailable software is needed. The VGStudio MAX 2.1
(Volume Graphics GmbH, Heidelberg,Germany) was thusused bothforthethree-dimensionalrenderingandthevisualizationof theacquiredtomograms,cp.imagesinFigs.1and5.
2.8. Dataanalysis
Theentireprocess oftheautomatedanalysisis explainedin detailinBikisetal.(2017).Shortly,thenervesweresegmentedfrom theirsurroundingsbymeansofanintensitythresholding/median filtering/connectedcomponentanalysis.Afternervesegmentation, extractionoftheinvestigatedparameterswasperformedinafully automatedway.Forthesetasks,Matlab(MATLAB2016a,TheMath- Works,Inc.,Natick,Massachusetts,UnitedStates)wasused.The diagramsinFig.3wherepreparedusingtheproFitsoftware(pro Fit6.2.16,QuantumSoft,UetikonamSee,Switzerland).Forthesta- tisticalanalysis,thedatawereexpressedasmeans±SE.Student’st testwasusedtodeterminestatisticalsignificanceofdifferences (p<0.05 was considered statisticallysignificant). The statistical analysiswasperformedinGraphPadPrism7.00forMac(GraphPad Software,LaJollaCaliforniaUSA).
3. Results
3.1. Surfacemorphology
Aninherentadvantageof tomographywithrespecttotradi- tional 2D imaging approaches is the isotropic voxel resolution provided,enabling accuratesurfacereconstruction,bymeansof 3Drendering,whichisexemplarilydemonstratedinthepresent study.InFig.1,ahealthyandaregeneratednervearerendered, withtheirproximalanddistalendslocatedat2mmfromtheright andleftbordersoftheimages,respectively.
Forthereconstructednerve,startingnearitsproximalend,the markingsuturesandthescarringthathasoccurredaroundthem arevisible(yellow-coloredarrow).Musclefibersattachedtothe nervesurface(white-coloredarrow)arealsovisibleclosetothe proximalnerveend.Themiddlesectionofthereconstructednerve showsareduceddiameterwithrespecttotheends.Alineplotof thecrosssectionalareaispresentedbelow.Thedistalnerveendis presentedinlargermagnificationinFig.1(b,bottom),whichshows howthefibrinoidtissueenvelopsthesutures.
For theoverview image of the healthy nerve (Fig. 1a, top), presentedforcomparison,themostprominentdifferencetothe reconstructednerveisthemajorsurfacegroove(redarrow)caused
Fig.1. Threedimensionalvisualizationoftomographydatafromahealthy(a)andareconstructednerve(b),withalengthofapproximately8and15mm,respectively.The surroundingparaffinhasbeenmadedigitallytransparentpriortothis3Drendering.Thered-coloredarrowindicatesthesurfacegroovebetweenthemajornervefascicles andthewhite-coloredarrowsshowmusclefibersonthesurfaceofthenerves.Theyellow-coloredarrowsindicatethetwoendsofthereconstructednerve.
40 C.Bikisetal./JournalofNeuroscienceMethods295(2018)37–44
Fig.2. Crosssectionalandlongitudinalviewsofhealthy(a)andregenerated(b)ratsciaticnervesrespectively,togetherwithselectedlineplotsandhistogramsofselected regionsofinterest(c).Thegreen,redandbluedashedlinesandsubfigureframesshowtherelativepositionofthedepictedcutsthroughthe3Ddatasets.Theincludedline plotsaretakenalongtheorange-coloreddashedlines.Inthelongitudinalviews,theproximalanddistalendsofthenervesarelocatedat2mmfromtherightandleftborders oftheimages,respectively.Intheseviews,onerecognizesthatthehealthynerveiscomprisedoftwoparts,whichshowonlyasmallgapandareembeddedintoparaffin together.TheblackdotsinthehistogramindicatethenumberofpixelscorrespondingtoaspecificattenuationvalueandthecurvesareGaussiansfittedtotheexperimental data,correspondingtoair(red),paraffin(green)andnerve(blue).Theattenuationvaluesarerelatedtothecurrentsetupanddonotrepresentthephysicalquantityusedfor monochromaticradiation.Thescalebarscorrespondtoalengthof1mm.
bytheexistenceoftwomainnervefascicles.Moremusclefibers areseenattachedtothenervesurface(white-coloredarrow),com- paredtotheregeneratednerve.Themeandiameterofthesemuscle fibersisaround50m,inreasonableagreementwiththeliterature values(AlnaqeebandGoldspink,1987).Azoom-inontothesurface ofthehealthynerve(Fig.1a,bottom)betterrevealstheirrod-like structureandparallelarrangement.
3.2. Structuralanalysisofreconstructednerve
Anotherdistinctive advantageof3Dtomographicdataisthe abilitytoselectanyvirtualcuttingplane,asillustratedinFig.2, wherethreeorthogonalcuttingplanesatonceareusedtobetter revealtheinternalstructuresandthedegreeoforganizationofthe nervesinvestigated.Thewhitecolorstructuresappearinginlongi- tudinalandcross-sectionalimagesofbothnervesamplesindicate theaxonsandassociatedmyelintissue(Hopkinsetal.,2015;Pixley etal.,2016).Fission-like-structuresexistinginthecrosssections showtheorganizationofthenervefasciclesinallthetissuesam- ples.Theepineuriumandperineuriummembranesaswellasthe vesselsaredepictedwhite,duetoahigherlocalX-rayabsorption, whilethesurroundingmedium(air)isshownasblack,duetomin- imalX-rayabsorption.Paraffinsurroundingthenervesisshownin gray,accordingtothelocalX-rayabsorption.
For the reconstructed nerve data, the cross-sectional view obtainedfromitsproximalend,revealstheexistenceoftwomain nervefascicles,dividedbyoneprominentperineuriummembrane.
Nomajorvesselcanbedetectedinthiscross-sectionalview,aseasy asinthehealthynerve(Fig.2).Inaddition,theconnectivetissue surroundingthefasciclesisenvelopingthemmorecloselythanfor thecaseofthehealthynerve,whereboththeconnectivetissueand theepineuriummembraneareseparatedfromthefourmainnerve fasciclesvisibleandatplacesshowdifferingX-rayabsorption.
Thelongitudinalviewsclearlyrevealedtheinternalstructures suchasthefascicleorientationand3Dorganization.Intherecon- structednerves,thefasciclesarenotaseasilydistinguishable,asitis thecasefortheirhealthycounterpart.Moreover,thereconstructed nerveshowsa randomarrangementoffascicles, that,especially arounditsproximalanddistalendbecomessocomplicatedthat someofthemareperpendiculartothemajornerveaxis.Bothnerve thicknessanddegreeoffascicleanisotropyaremaximizedatthe proximalanddistalnerve ends,comparedtoitsthinnermiddle section.
Fig. 2 also shows two line plots through the selected cross sectional cutsof the 3Ddataset, indicating a spatial resolution close to the effective pixel size for both measurements. His- tograms of thelocal X-rayabsorption fromselected regions of the two datasets are also presented. They contain three Gaus- sianpeakscorrespondingtoair(red),paraffin(green)andnerve tissue (blue), which can be identified by intensity threshold- ing (Müller et al., 2002). The area under the histogram curve includes all voxels of the selected region of interest (ROI), and the area under each peak provides the volume of its related specimen component. For our measurements, the fact that the Gaussians fit the data very well indicates the mean- ingful applicability of photon statistics. For each Gaussian, the expectation value gives the peak position corresponding to a specific component and the standard deviation character- izes howbroad the distributionis. Based onthese parameters, thesignal-to-noise ratio(SNR)of each specific componentwas calculatedas:SNR(component)=|component−air|/air.TheSNR forbothparaffinandnervewasalmostequalforbothmeasure- ments (SNRhealthy(paraffin)=34.31±0.02; SNRregenerated (paraf- fin)=37.12±0.02, SNRhealthy(nerve)=47.99±0.03; SNRregenerated
(nerve)=44.74±0.03).
Fig.3. Crosssectionalareaalongtworepresentativenerves.Thehealthynerve showsanalmostconstantvalue,whereastheregeneratednerveexhibitscharac- teristicmodulations.
Fig.4. Comparisonofgeometricalparametersforthreehealthyandthreeregen- eratednerves,calculatedautomaticallyafternervesegmentation.Singleasterisk indicatesap-valuesmallerthan0.05anddoubleasteriskindicatesap-valuesmaller than0.01.
3.3. Nervethicknessprofile
Afterthenervehasbeensegmentedfromitssurroundingparaf- fin,plottingthecross-sectionalareaoverthenervelengthprovides usefulinformationonthenerveregenerationprocess,asseenin Fig.3,where onerepresentative healthyand onereconstructed nerve arepresentedfromeachgroup.Therearetwodistinctive peaksinthecurveofthereconstructednerve,indicatingtheprox- imal(left) anddistal(right)end.Theregionbetweenthesetwo peakscorrespondstothereconstructednervesegment.Forthecase ofahealthynerve,itsthicknessprofilerevealedbymeasurement ofcross-sectionalarearemainsrelativelyconstantalongitsentire length.
3.4. Nervegeometry
We have alsocalculated several geometrical parameters for thenerves investigated, in anautomated process. Fig.4 shows theresultsofthetwogroupsofhealthyandreconstructednerves (n=3),aswellastheircomparison.Theparameterschosenforthe investigationwerethemedianand maximumcrosssection,the averagecrosssections(definedasvolume/length),thehalfmid- rangecross-section(definedasthedistanceofmaximumtothe median)andthecrosssectionabsmid-range(definedasthesum of thedistanceof each cross sectionalong the nervelength to
42 C.Bikisetal./JournalofNeuroscienceMethods295(2018)37–44
Fig.5. Intensity-thresholdedvesselsofahealthy(a)andareconstructed(b)nerve,withalengthofapproximately3and7mm,respectively.Thesurroundingparaffinhas beenmadedigitallytransparentandthenervevolumehasbeenmadesemi-transparenttoallowforabettervisualizationofthevesselstructure.Thediameterofthevessels indicatedbythewhite-coloredarrowsisapproximately0.04and0.02mmforthehealthyandthereconstructednerve,respectively.
themedian).Indetail,astronglystatisticallysignificantdifference wasobservedbetweenthereconstructedandthehealthygroup forthemedian cross section(p=0.0026). Therewasalsoa sta- tisticallysignificant differencebetweenthe two groups for the averagecrosssection(definedasvolume/length)andthecrosssec- tionabs(absolute)mid-range(definedasthesumofthedistance ofthecrosssectionateachpositionalongthenervetothemedian crosssection),withp=0.0178andp=0.0419,respectively.Finally, atendencyforastatisticallysignificantdifferencebetweenthetwo groupswasfoundforthemaximumcrosssection(p=0.0890).
3.5. Vascularregrowth
Vesselsshow a higher intensity valuethan paraffin or ner- voustissue,namelyaround44,000forthehistogramspresented inFig.2.Duetoalownumberofvesselvoxelsthehistogramdoes notreveal themseparately. Thevesselnetwork is visualizedin Fig.5usingthresholding.Intensitythresholdingrevealedinterest- ingobservationsassociatedwithvascularregrowth.Theresultsof thissegmentationprocessareseeninFig.5,revealingthevascular networkofa healthy(Fig.5a)andreconstructed(Fig.5b)nerve, respectively.In detail, forthe caseof thereconstructed nerves, themeandiameterofthedetectedvesselsissmaller, compared tohealthy nerves. In addition, a quick overview of the recon- structednerve (Fig.5b)revealedthe existenceof severalsmall signalscharacterizedbyhighX-rayabsorptionattheproximaland distal nerveends (green-coloredarrows). These structuresmay indicatehaematomas.
Insidethereconstructednerve,themorphologyandorganiza- tionofvesselsappearedtobeheterogeneous.Thevisualinspection ofthehigh-resolutionCTdataindicatesthatthenerveendscontain alessorganizedvesselstructureandhaverandomorientation.Itis difficulttoprovethisobservation,sincethenumberofsegmented vesselsisrelativelylow.Vesseldensityisalsohighernearthetwo endsofthenerve.Incontrast,theregionbetweentheproximaland distalpartsofthereconstructednerveexhibitsamoreorganized
vesselstructure;vesselsaregenerallybiggerindiametercompared totheonesatthenerveendsandarelessfrequentlybranched.They aremostlyparallelonetoanother,followingthenerve axisand residingveryclosetoitssurface(magenta-coloredarrow).
4. Discussion
4.1. Spatialresolutionandimagecontrast
ThelineplotspresentedinFig.2runalongtheparaffin/airedge andwereusedtodeterminethespatialresolutionclosetothepixel size,asdescribed earlier(Thurner etal.,2004).Fromthemean andstandarddeviationvaluesoftheGaussiansfittedtothehis- togramspresentedinFig.2,theSNRforthemicrostructureswas calculated(Schulzetal.,2012).TheSNRwasalmostidenticalfor thecaseofparaffin(consideredtobeahomogeneousstructure)in bothmeasurements.Togetherwiththefactthatspatialresolution wasalsofoundsimilarforbothmeasurements,scanningquality isconsideredconsistent.ComparedtoUSandMRI,whicharethe modalitiesof choiceforperipheralnerve3Dimaging inclinical practice(Willseyetal.,2017), thespatialresolutionachievedin thisstudyisatleasttwoordersofmagnitudebetterineachofthe threeorthogonaldirections.ComparedtorecentsimilarCTstud- ies,e.g.Hopkinsetal.(2015),Pixleyetal.(2016),spatialresolution isatleastanorderofmagnitudebetterineachorthogonaldirection.
Althoughourapproachneedsnostainingagentatall,theobtained tomogramcontrastisalsogreatlyincreased,allowingforthedis- crimination between nerve fascicles and connective tissue, an unsolvedproblemforsimilarstudiesupuntilnow(Hopkinsetal., 2015).Thesuperiorimagequalitymakesevenanautomatednerve segmentationandextractionofquantitativeparameterspossible.
In this study, the mostnotable difference betweenthe two measurementsisthebetterseparationoftheparaffinandnerve peak of thehistogramsfor the case ofthe healthy nerve com- paredtotheregeneratedone,asseenintheimagesofFig.2.We have alreadysome indicationsthat duringthe firstdays ofthe
samplebeingembeddedinparaffin,contrastdifferencebetween structuresincreasesasthetimepasses,mostprobablyduetoan ongoingperfusionprogress.Itisalsopossible,thatacombination ofanexistingdifferencebetweengroupsandapreparationeffect couldhavetakenplace; onehypothesisis,thattheregenerating nerve,duetolesscompactbundlepackingormyelinmaturity,is physicallylessstableandthereforegetsmoreaffectedduringthe dehydrationandsubsequentparaffinperfusion.
4.2. Thicknessprofilealongthenerves
DiagramsasshowninFig.3canbeusedtoassessthelengthof thezonesintheregeneratingnerves,aswellasquicklyrevealpos- siblesegmentationerrors.Forexample,thenumeroussmallspikes ofthecross-sectionalareaalongtheendofthehealthynervewere causedbysuboptimalsegmentation,duetoconebeamartifacts.
While the fast fluctuations in the amplitude are caused by improper segmentation, the high and slow modulation of the regeneratingnerve crosssection comparedtoits healthycoun- terpartcanbeexplainedbythemechanismofnervedamageand regeneration itself.Anincreasedcross-sectional areais seen,as expected,in the proximaland distal endsof the reconstructed nerve,whichmayindicateoccurrenceofhemorrhage,inflamma- tionandscarring(Fig.3).Alsoasexpected,theregeneratedareais foundtoberelativelythinner,asseenforthecaseofthesampledis- playedinFig.1b.Thetwobundlesobservedinthecross-sectional viewarenotwellseparatedandareultimatelyjoinedfurtheralong thenerve,sothatatthethinnestpartoftheregeneratedregion,all fasciclesareenclosedbyonesingleperineuriummembrane.
4.3. Geometryofreconstructednervetissue
Itshouldbenotedthatthecalculatednervecross-sectionalarea wastakenwithrespecttotheplaneperpendiculartotherotation axisofthesampleandnottothenerve centerline.Forourcase this onlyhas aminor effecton theresults, becausethenerves werestraightenedas muchas possibleprior toembeddingand thenmountedwiththemajornerveaxisparalleltotherotation axis.Eventhoughthemediancrosssectionhasthestrongestdif- ferencebetweenthetwogroupsintermsofstatisticalsignificance, theaveragecrosssection(volume/length)cansometimesbeamore preferableparameterforcomparison,sinceitismorerobustwith respecttohowthesampleisembeddedormounted.
Crosssectionabsmid-rangeisamorerobustparametercom- paredtothehalfmid-rangecrosssectionbecauseit ignoresthe intra-groupdifferences in nervesize andis directlyaffectedby theexistenceoftransitionzonesintheregeneratednerves.This isbecausetheformertakesthedifferenceofthecrosssectionat everypointalongthenervecomparedtoitsmediancrosssection, whilethelaterismerelythedifferenceofonlytwovalues,namely maximumandmediancrosssectionofthenerve.
Tobeabletocomparegeometricalparameters,allmuscleor connectivetissuearoundthenervehastobeclearedasmuchas possibleduringextraction.Theregeneratednervesmustalsobe cutwithsimilarendpoints,e.g.usingthestitchesasguides.
4.4. Interpretationandchallengesofvesselanalysis
ThevisualinspectionoftheCTdataindicatesthatvesselssmaller thanthevoxelsizecanbedetectedduetothepartialvolumeeffect.
Theirhighintensityismainlyaresultoftheremainingdehydrated bloodinthevessellumen.Anelaborate,automatedsegmentation oftheentirevesseltreeremainsanopenchallenge.Giventhatno contrastagentwasused,thenon-connectedvesselnetworkvisual- izedcanbecausedbyinhomogeneousvesselperfusionbyparaffin, probablyduetotrappedairinsidethevessels.Nevertheless,there
isacleartendencyformore,shortervesselfragmentsintherecon- structednerveendsthatcanbeexplainedbytheangiogenesisat thissitesasaresponsetotraumaandasabasis forsubsequent regeneration.Inadditiontothat,itisveryprobablethatthehighly X-rayabsorbingfeaturesfilling largeareasatthereconstructed nerveendsarecausedbyhaemosidirindepositsduetohemorrhage attheseareas.
5. Conclusions
We have achieved a 3D visualization of regenerated nerves withtrue micrometerresolution usinga procedurethat allows subsequentcuttingandstaining.Finedetailsofmorphologyand microanatomyofnervetissuewerevisualized,owingtoimproved imagingprocedureandanupdateddataprocessing.Themethod hasbeenvalidatedwithasufficientnumberofsamplestoprovide findingswithstatisticalsignificance.Thequantitativeparameters ofregeneratednervesdetailedinthisstudyprovideasuitablemea- sureforassessingthequalityofnerveregenerationwithafocuson high-throughputanalysis.
Conflictsofinterest
Theauthorsdeclarenoconflictofinterest.
Acknowledgments
TheauthorsthankStephanFrankandJürgenHenchoftheNeu- ropathologyDepartment,BaselUniversityHospitalforallowingthe useofhistologicalequipment,aswellasSaschaMartinandStefan GentschoftheMechanicsShop,PhysicsDepartment,Universityof Basel,forfabricatingthecustomizedsampleholders.Theproject wassupportedbySNSFprojects144535and133802.
References
Alnaqeeb,M.A.,Goldspink,G.,1987.Changesinfibretype,numberanddiameterin developingandageingskeletalmuscle.J.Anat.153,31–45http://www.ncbi.
nlm.nih.gov/pmc/articles/PMC1261780/.
Bikis,C.,Degrugillier,L.,Deyhle,H.,Schulz,G.,Schweighauser,G.,Hench,J.,Müller, B.,Madduri,S.,Hieber,S.E.,2016.UsinglaboratoryCTforassessing peripheralnerveregeneration.Eur.CellsMater.32,30.
Bikis,C.,Thalmann,P.,Degrugillier,L.,Schulz,G.,Müller,B.,Kalbermatten,D.F., Madduri,S.,Hieber,S.E.,2017.Three-dimensionalandnon-destructive characterizationofnervesinsideconduitsusinglaboratory-basedmicro computedtomography.J.Neurosci.Methods294,59–66.
Garg,K.,Aggarwal,A.,Srivastava,D.N.,Jana,M.,Sharma,R.,Gamanagatti,S., Kumar,A.,Kumar,V.,Malhotra,R.,Goyal,V.,Garg,K.,2017.Comparisonof DifferentSequencesofMRIandUltrasongramwithNerveConductionStudies inPeripheralNeuropathies.WorldNeurosurgery.
Haftek,J.,1976.Autogenouscablenervegraftinginsteadofendtoendanastomosis insecondarynervesuture.ActaNeurochir.(Wien)34,217–221.
Hopkins,T.M.,Heilman,A.M.,Liggett,J.A.,LaSance,K.,Little,K.J.,Hom,D.B., Minteer,D.M.,Marra,K.G.,Pixley,S.K.,2015.Combiningmicro-computed tomographywithhistologytoanalyzebiomedicalimplantsforperipheral nerverepair.J.Neurosci.Methods255,122–130.
Hsu,S.H.,Kuo,W.C.,Chen,Y.T.,Yen,C.T.,Chen,Y.F.,Chen,K.S.,Huang,W.C.,Cheng, H.,2013.Newnerveregenerationstrategycombininglaminin-coatedchitosan conduitsandstemcelltherapy.ActaBiomater.9,6606–6615.
Johnson,E.O.,Zoubos,A.B.,Soucacos,P.N.,2005.Regenerationandrepairof peripheralnerves.Injury36(Suppl.4),S24–9.
Kannan,R.Y.,Salacinski,H.J.,Butler,P.E.M.,Seifalian,A.M.,2005.Artificialnerve conduitsinperipheral-nerverepair.Biotechnol.Appl.Biochem.41,193–200.
Kingham,P.J.,Terenghi,G.,2006.Bioengineerednerveregenerationandmuscle reinnervation.J.Anat.209,511–526http://www.ncbi.nlm.nih.gov/pmc/
articles/PMC2100355/.
Madduri,S.,Feldman,K.,Tervoort,T.,Papaloïzos,M.,Gander,B.,2010a.Collagen nerveconduitsreleasingtheneurotrophicfactorsGDNFandNGF.J.Control.
Release143,168–174http://www.sciencedirect.com/science/article/pii/
S0168365909008621.
Madduri,S.,diSumma,P.,Papaloïzos,M.,Kalbermatten,D.,Gander,B.,2010b.
Effectofcontrolledco-deliveryofsynergisticneurotrophicfactorsonearly nerveregenerationinrats.Biomaterials31,8402–8409http://www.
sciencedirect.com/science/article/pii/S0142961210008951.
44 C.Bikisetal./JournalofNeuroscienceMethods295(2018)37–44
Madduri,S.,Gander,B.,2012.Growthfactordeliverysystemsandrepairstrategies fordamagedperipheralnerves.J.Control.Release161,274–282.
Moore,A.M.,Kasukurthi,R.,Magill,C.K.,Farhadi,H.F.,Borschel,G.H.,Mackinnon, S.E.,2009.Limitationsofconduitsinperipheralnerverepairs.Hand(NewYork, N.Y.)4,180–186.
Müller,B.,Thurner,P.,Beckmann,F.,Weitkamp,T.,Rau,C.,Bernhardt,R.,Karamuk, E.,Eckert,L.,Brandt,J.,Buchloh,S.,Wintermantel,E.,Scharnweber,D.,Worch, H.,2002.Nondestructivethree-dimensionalevaluationofbiocompatible materialsbymicrotomographyusingsynchrotronradiation.Proc.SPIE4503, 178–188,http://dx.doi.org/10.1117/12.452843.
Pixley,S.K.,Hopkins,T.M.,Little,K.J.,Hom,D.B.,2016.Evaluationofperipheral nerveregenerationthroughbiomaterialconduitsviamicro-CTimaging.
LaryngoscopeInvestig.Otolaryngol.1,185–190.
Schulz,G.,Weitkamp,T.,Zanette,I.,Pfeiffer,F.,Müller-Gerbl,M.,David,C.,Müller, B.,2012.Asymmetricrotationalaxisreconstructionofgrating-basedX-ray phasecontrasttomographyofthehumancerebellum.Proc.SPIE8506,850604, http://dx.doi.org/10.1117/12.928487.
Stalder,A.K.,Ilgenstein,B.,Chicherova,N.,Deyhle,H.,Beckmann,F.,Müller,B., Hieber,S.E.,2014.Combineduseofmicrocomputedtomographyandhistology toevaluatetheregenerativecapacityofbonegraftingmaterials.Int.J.Mater.
Res.105,679–691,http://dx.doi.org/10.3139/146.111050.
Stang,F.,Fansa,H.,Wolf,G.,Reppin,M.,Keilhoff,G.,2005.Structuralparametersof collagennervegraftsinfluenceperipheralnerveregeneration.Biomaterials26, 3083–3091.
Thurner,P.,Beckmann,F.,Müller,B.,2004.Anoptimizationprocedureforspatial anddensityresolutioninhardX-raymicro-computedtomography.Nucl.
Instrum.MethodsPhys.Res.B225,599–603http://www.sciencedirect.com/
science/article/pii/S0168583X04007980.
Walker,F.O.,2017.Ultrasonographyinperipheralnervoussystemdiagnosis.
Contin.(Minneap.Minn.)23,1276–1294.
Weis,J.,Brandner,S.,Lammens,M.,Sommer,C.,Vallat,J.M.,2012.Processingof nervebiopsies:apracticalguideforneuropathologists.Clin.Neuropathol.31, 7–23.
Willsey,M.,Wilson,T.J.,Henning,P.T.,Yang,L.J.S.,2017.Intraoperativeultrasound forperipheralnerveapplications.Neurosurg.Clin.N.Am.28,623–632.
Wu,C.,Wang,G.,Zhao,Y.,Hao,W.,Zhao,L.,Zhang,X.,Cao,J.,Wang,S.,Chen,W., Chan,Q.,Zhao,B.,Chhabra,A.,2017.Assessmentoftibialandcommon peronealnervesindiabeticperipheralneuropathybydiffusiontensor imaging:acasecontrolstudy.Eur.Radiol.27,3523–3531.
Yang,Y.,Ding,F.,Wu,J.,Hu,W.,Liu,W.,Liu,J.,Gu,X.,2007.Developmentand evaluationofsilkfibroin-basednervegraftsusedforperipheralnerve regeneration.Biomaterials28,5526–5535.