optical coherence tomography in ms · 24/02/2017 · optical coherence tomography in ms dr. shiv...
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![Page 1: Optical coherence tomography in MS · 24/02/2017 · Optical coherence tomography in MS Dr. Shiv Saidha, MBBCh, MD, MRCPI Associate Professor of Neurology, Johns Hopkins University](https://reader033.vdocuments.us/reader033/viewer/2022051918/600aa5adf26eee31c93d103c/html5/thumbnails/1.jpg)
Optical coherence tomography in MS
Dr.ShivSaidha,MBBCh,MD,MRCPIAssociateProfessorofNeurology,
JohnsHopkinsUniversitySchoolofMedicine
02/24/2017
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Disclosures
• Dr.ShivSaidhahasreceivedconsulJngfeesfromMedicalLogixforthedevelopmentofCMEprogramsinneurology,consulJngfeesfromAxonAdvisorsLLC,EducaJonalGrantSupportfromNovarJs&TevaNeurosciences,speakinghonorariafromtheNaJonalAssociaJonofManagedCarePhysicians,AdvancedStudiesinMedicineandtheFamilyMedicineFoundaJonofWestVirginia,andservedonscienJficadvisoryboardsforBiogen-Idec,NovarJs,EMDSerono,GenzymeandGenentechCorporaJon.�
• Dr.ShivSaidhareceivesresearchfundingfromtheRacetoEraseMS&GenentechCorporaJon
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Conventional MRI in MS
• SensiJveforcapturinginflammatoryacJvity• Goodwaytoassessinflammatoryresponsetotherapies
• However,associaJonbetweenneworenlargingT2lesions&contrast-enhancinglesionswithdisabilityprogressionismodestKapposetal.Lancet1999
• T2lesionquanJficaJonatbaselinehaslimitedpredicJvevalueforpredicJngdisabilityFisnikuetatal.Brain2008
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Non-conventional MRI in MS
• NumerousstudiesshowthatmeasuresofwholebrainatrophyareinverselyrelatedwithdisabilityprogressionDeStefanoetal.Brain1998,Fisheretal.Neurology2002
• MRIsegmentaJontechniquesenablemeasurementofbrainsubstructurevolumes
• Grayma`er(GM)degeneraJonextremelycommoninMS,beginsearly&maybemorecloselylinkedwithdisabilitythanwhitema`er(WM)degeneraJonSimonetal.MultScler2006,Calabreseetatal.J.Neurol2007,Calabreseetal.ArchNeurol2009
• Othernon-convenJonalMRImeasuresofneurodegeneraJonincludeDTI,MTI,MRS,MWF
• Issueswithnon-convenJonalMRI……….
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OCT
• SimilartoultrasoundbutusesnearIRlight
• Lightsimultaneouslysenttoeye&referencemirror
• LightpenetratesJssuelayers&sca`eredback
• Returninglightcomparedtoreference(interferometry)allowingcomputerreconstrucJon
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Why is there an interest in being able to quantify the neural components of the retina in MS?
Microscopiccross-secJonalviewthroughtheopJcnerveincludingthereJnallayersh`p://hubel.med.harvard.edu
OPTICNERVE
Re,nalNerveFiberLayer
OPTICDISC
GanglionCellLayer
• OpJcneuropathyisvirtuallyubiquitousinMS• OpJcnervedemyelinaJon/inflammaJon→retrogradedegeneraJon
ofopJcnerveaxons(RNFLfibers)→deathofthereJnalneuronsfromwhichthesefibersoriginate(ganglioncells)
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What OCT has shown us in MS
• Re,nalnervefiberlayer(RNFL)&ganglioncell+innerplexiformlayer(GCIP)thinningreflectMSrelatedop,cnerveneurodegenera)onFrohmanetal.NatClinPractNeurol2008
• RNFL&GCIPthinningoccuraLerop,cneuri,s(ON)andaspartoftheMSdiseasecourseineyeswith&withoutahistoryofONPetzoldetal.LancetNeurol2010,Costelloetal.AnnNeurol2006,Talmanetal.AnnNeurol2010,Garcia-MarJnetal.BrJOphthalmol2011,Ratchfordetal.Neurology2013
• RNFL&GCIPthinninginMSareclinicallyrelevantandcorrelatewithvisualfunc,on,globaldisability&brainatrophyFisheretal.Ophthalmol2006,Gordon-Lipkinetal.Neurology2007,Pulickenetal.Neurology2007,Sigeretal.JNeurol2008,Villosladaetal.Neurology2008,Graziolietal.JNeurolSci2008,Dorretal.PLoSOne2011,Pfuelleretal.PLoSOne2011,Saidhaetal.ArchNeurol2012,Youngetal.EurJNeurol2013,Zimmermannetal.MultScler2013• RatesofGCIPthinningareacceleratedinMSpa,entsexhibi,ngclinicaland/orradiologicaldiseaseac,vityRatchfordetal.Neurology2013
• IncreasedINLthicknesscorrelateswithT2lesionvolumecross-sec,onallyandpredictsclinical&radiologicaldiseaseac)vitySaidhaetal.LancetNeurol2012
Peripapillary nerve fiber layer
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Fovea
ILM RNFLGCL
IPLINL OPL
ONL
RPE
ELM
OS/IS
ISOS
Macular OCT Segmentation
ILM:InnerlimiJngmembraneRPE:ReJnalpigmentepitheliumRNFL:ReJnalnervefiberlayerIPL:InnerplexiformlayerOPL:OuterplexiformlayerGCL:GanglioncelllayerINL:InnernuclearlayerONL:OuternuclearlayerIS:InnerphotoreceptorsOS:Outerphotoreceptors
Saidhaetal.MultScler2011Saidhaetal.Brain2011Sycetal.Brain2011Saidhaetal.JAMANeurol2012Saidhaetal.LancetNeurol2012Saidhaetal.AnnNeurol2015
MacularcubescanacquiredwithCirrusHD-OCT(CarlZeissMeditecInc,Dublin,CA)
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Longitudinal study of OCT & MRI in MS • 6-monthlyspectral-domainOCT(includingautomatedintra-reJnal
segmentaJon)• Baseline&annual3TbrainMRI(includingsubstructurevolumetrics)• PaJentswithocularrelapses(opJcneuriJs)duringthestudyexcluded• Individual-specificratesofchangeinreJnalandbrainmeasureswerecorrelated,
adjusJngforage,sex,diseaseduraJon&ONhistory.
Saidhaetal.AnnNeurol2015
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Relationships between rates of change in OCT & MRI measures over study duration
MRI-derivedbrain
compartmentvolumerateof
change
OCT-derivedreJnallayerthicknessrateofchange§
RNFL GCIP INL ONL
CorJcalGM 0.207* 0.371*¶ 0.092 -0.028CerebralWM 0.144 0.285* 0.036 -0.066Thalamus 0.273* 0.379*¶ 0.228* -0.242*Caudate 0.438*¶ 0.155 -0.015 -0.144Putamen 0.146 0.147 0.186 -0.228*Brainstem 0.329*¶ 0.210* -0.019 -0.094Lesions** 0.014 -0.128 -0.120 0.169
CVF 0.291* 0.449*¶ 0.085 -0.068‡ParJalcorrelaJoncoefficientswereadjustedforage,gender,MSsubtype,diseaseduraJonandhistoryofON.§Theaveragerateofchangeforbotheyeswasusedtocomputethesubject-specificrateofchangeinreJnallayerthickness.*Indicatesanunadjustedp-value<0.05.¶Indicatesap-value<0.05aserBonferroniadjustmentformulJplecomparisons.
AlloftheaboveresultswereverifiedbytwoaddiJonalstaJsJcaltechniques,includingempiricalBayespredicJonsfrommixed-effectslinearregressionmodelsandSIMEX.**RRMS:GCIP(r=-0·30;p=0·01),INL(r=-0.28,p=0.04)
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GCIP – CVF relationship over time
Saidhaetal.AnnNeurol2015
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MSsubtype ONmodel§ Cor,calGM
CerebralWM CVF
Total
Model1:n=107
Model2:n=95
Model3:n=59
Model1
Model2
Model3
0.361
0.416
0.500
0.275
0.267
0.433
0.437
0.492
0.614
RRMS
Model1:n=71
Model2:n=61
Model3:n=32
Model1
Model2
Model3
0.312
0.431
0.575
0.201
0.211
0.334
0.328
0.450
0.602
ProgressiveMS
Model1:n=36
Model2:n=34
Model3:n=27
Model1
Model2
Model3
0.528
0.546
0.535
0.619
0.583
0.637
0.673
0.670
0.677
GCIP – MRI relationships by subtype & ON history
§Allmodelswereadjustedforbaselineage,gender,anddiseaseduraJon.Model1usestheaverageoftheratesofreJnallayerthicknesschangefrombotheyes,regardlessofONhistory,butisaddiJonallyadjustedforapasthistoryofON.Model2excludeseyeswithapasthistoryofONfromthecalculaJonoftherateofchangeofreJnallayerthickness.Model3excludessubjectswithaprevioushistoryofONineithereye.
RRMS
Progressive
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Julia Button, Omar Al-Louzi, Andrew Lang, Pavan Bhargava, Scott D. Newsome, Teresa Frohman, Laura J. Balcer, Elliot M. Frohman, Jerry Prince,
Peter A. Calabresi, Shiv Saidha
Bu`onetal.Neurology2017
Bu`onetal.Neurology2017
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Clinical and baseline demographic characteristics
Treatmentgroup GA IFNSC IFNIM NAT HC pvalue
Numberofpa,ents(eyes) 48(95) 35(69) 28(53) 46(91) 47(92) --
Age;mean,years(SD)41.6(9.6)
40.5(11.1)
45.0(9.0)
39.4(10.6)
39.0(10.1)
0.101a
Females;n(%) 39(81) 30(86) 21(75) 34(74) 30(64) 0.174b
Race;n(%)
CaucasianAfricanAmericanHispanicAsian-PacificIslanderUnknown
40(83)5(10)1(2)1(2)1(2)
26(74)6(17)0(0)2(6)1(3)
23(82)2(7)2(7)0(0)1(4)
40(87)4(9)1(2)0(0)1(2)
37(79)5(11)1(2)1(2)3(6)
0.845c
Follow-updura,on;mean,years(SD)
3.2(1.3) 3.0(1.5) 2.9(1.5) 3.0(1.4) 3.4(1.6) 0.141a
Op,cneuri,shistory;n(%) 25(52) 17(49) 14(52) 24(52) -- 0.988bDisease-dura,on;mean,years(SD)
8.4(6.4) 8.8(6.8) 9.8(7.2) 8.8(5.5) -- 0.738a
Gap,me;mean,years(SD) 3.0(2.9) 2.2(1.9) 5.1(3.9) 1.3(0.8) -- <0.001a
FirstDMT;n(%) 36(77) 17(49) 19(76) 2(4) -- <0.001cRelapseduringfollow-up;n(%) 9(19) 9(26) 3(11) 4(9) -- 0.176c
a:ComputedwithKruskal-Wallisequality-of-populaJonranktest;b:ComputedwithChisquare(χ2)test;c:ComputedwithFischer’sexacttest
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Differences in rates of retinal atrophy by DMTs
Averagerates(µm/year)of
re,nallayerlossover,meby
DMTs
p-valueofpair-wisecomparisonbetweenDMTs
NAT IFNIM GA IFNSC NATvs
GA
NATvs
IFNSC
NATvs
IFNIM
IFNIMvs
GA
IFNIMvs
IFNSC
GAvs
IFNsc
GCIP -0.17 -0.28 -0.31 -0.54 0.035 <0.001 0.157 0.750 0.002 0.001
INL -0.06 -0.08 -0.09 -0.20 0.450 0.001 0.671 0.848 0.023 0.011
ONL +0.02 -0.20 -0.16 -0.36 0.014 <0.001 0.013 0.644 0.102 0.014
AMT -0.08 -0.60 -0.55 -1.14 0.019 <0.001 0.030 0.813 0.036 0.006ReJnallayerthicknesschangeswereanalyzedusingmixed-effectslinearregressionadjusJngforageatbaseline,diseaseduraJonatbaseline,sex,gapJme,relapseduringfollow-upandbaselinethicknessofthereJnallayerofinterest.
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IFNSC has a faster rate of atrophy during first year of treatment
Dataplo`edrepresentstheGCIPthicknessforeacheyeofpaJentswhostartedIFNSCwithagapJmelessthanoneyear.
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Rates of GCIP loss over time in treated RRMS patients compared to HC cohort.
GCIPthicknesschangeswereanalyzedusingmixed-effectslinearregressionadjusJngforageatbaselineandsexaccounJngforwithin-subjectinter-eyecorrelaJonsandthebaselinethicknessof
thereJnallayerofinterest
CohortRateofGCIP
loss
RateofGCIPlosscomparedtoHC(p-
value)
HC 0.14 ---
GA 0.30 -0.16(0.010)
IFNSC 0.54 -0.40(<0.001)
IFNIM 0.28 -0.14(0.080)
NAT 0.16 -0.02(0.720)
Bu`onetal.Neurology2017
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Anterior Visual Pathway Measures are Associated with Cognition in Multiple Sclerosis
James Nguyen, Alissa Rothman, Anna Whetstone, Stephanie Mazurek, Jannelle Aquino, Laura J. Balcer, Elliot M. Frohman, Ciprian Crainiceanu,
Meghan Beier, Scott Newsome, Peter Calabresi, Shiv Saidha
Nguyenetal.
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Neuropsychological tests and fatigue & depression surveys administered
Measure DomainMSFC
Workingmemory,complexconcentraJon,informaJonprocessingspeedlowerextremityandfinemotorskills
SDMT
InformaJonprocessingspeed,visualscanning,workingmemory
BVMT-RTotalRecall VisuallearningBVMT-RDelayedRecall VisualdelayedfreerecallJLO VisuospaJalfuncJoningCOWAT Phonemicfluency,execuJvefuncJoning
DKEFSSorJngProblemsolving,cogniJveflexibility,execuJvefuncJoning
BDI Self-reporteddepressivesymptoms
MFIS
Self-reportedimpactoffaJgueonphysicalcogniJve,andpsychosocialfuncJon
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Relationships in RRMS Scores AnteriorVisualPathwayMeasures
AverageGCIPThickness 100%-VA 2.5%-LA 1.25%-LA
p-value R2 p-value R2 p-value R2 p-value R2MSFC(n=95)a 0.616 0.114 0.511 0.114 0.048 0.056 0.107 0.052OralSDMT(n=76)b 0.47 0.237 0.689 0.287 0.055 0.118 0.002 0.161BVMT-RTotalRecall(n=71)c 0.978 0.244 0.025 0.348 0.092 0.125 0.001 0.205BVMT-RDelayedRecall(n=71)c 0.206 0.259 0.364 0.318 0.361 0.098 0.024 0.149JLO(n=30)a 0.277 0.232 0.097 0.387 0.47 0.306 0.166 0.209DKEFS(n=28)a 0.386 0.217 0.964 0.449 0.004 0.617 0.02 0.572COWAT(n=45)b 0.706 0.154 0.689 0.249 0.027 0.368 0.139 0.201BDI(n=39)d 0.446 0.149 0.325 0.372 0.015 0.480 0.12 0.295MFIS(n=68)d 0.06 0.187 0.016 0.262 0.305 0.037 0.811 0.021
p-values and coefficients of determination were adjusted for: a age, sex, disease duration, years of education, and ON history b sex, disease duration, and ON history c sex, disease duration, years of education, and ON history d age, sex, disease duration, and ON history 1 Snijders/Bosker Level 1 R2-values were also derived from the mixed regression model
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Pa3entswithpRNFL≤87μm(Cirrus)-88μm(Spectralis)hadincreasedriskofdisabilityworseningover5-yearsfollow-up
Riskx2
Riskx4
1 3
3 5pRNFL≤87-88μmpRNFL87-88μmto98μmpRNFL>98μm
MarJnez-Lapiscinaetal.LancetNeurol2016
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Re,nalmeasuresatbaselinehavevalueforpredic,ngdisabilityinMSat10years
4060
8010
012
014
0
Aver
age
RN
FL
0 2 4 6 8 10EDSS5.
56
6.5
77.
5
Aver
age
TMV
0 2 4 6 8 10EDSS
CourtesyofAlissaRothmanandPeterCalabresi
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Ongoing Projects ElucidaJonanddeterminaJonoftherelevanceoftrans-synapJcdegeneraJoninMS
Al-Louzietal,INPRESS,MSJ
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A model for hemi-macular GCIP representation cortically
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IndividualGCIPtrajectories(adjustedforage,sex&hxofAON)
RegressedGCIPslopesonindividualgenevariantsusingSequenceKernelAssociaJonTest(SKAT)tocalculategenebased-p-values
AppliedHotNet2algorithmtoextractnovelsubnetworks(bymappinggenep-valuestoareferenceprotein-proteininteracJonmatrix)
Genewithverylowp-value
Largestconsensussubnetworkhighlyenrichedinearlycomplementpathway
Singlegene-basedp-value
KateFitzgerald
LongitudinalOCTxGWASRevealsNovelGeneNetworkPathway
C1RC1S
C2
C3
C3AR1
CFB
CR2
ITGAX CFHR5
OLFM4
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Ongoing Projects • VasculatureinMS• TSDin-vivoinMS• EvoluJonofINLandONLchangesinMS• InvesJgaJonoftherapeuJceffectsinRRMS&PMS• LongitudinalrelaJonshipsbetweenAVPmeasures&neuropsychologicalfuncJoninMS
• UseofOCTinMSprecisionmedicine• EffectsoflifestylefactorsinMS• OCTopJmizaJon• NovelOCT&otherreJnalimagingtechniques
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JohnsHopkinsNeurology:PeterCalabresiOmarAl-LouziJuliaBu`onJimmyNguyenAlissaRothmanPavanBhargavaSco`NewsomeJohnsHopkinsOphthalmology:SarahSolomonJohnsHopkinsElectricalEngineering:JerryPrinceAaronCarassJohnsHopkinsRadiology:PetervanZijlDzungPhamJohnsHopkinsBiostaJsJcs:CiprianCrainiceanuNINDS:DanielReich
Collaborators NYU:LauraBalcerRachelNolanUTSouthwesternNeurology:ElliotFrohmanCharité-UniversitätsmedizinBerlin:FriedemannPaulAlexanderBrandtInsJtutBiomedicalResearchAugustPiSunyer(IDIBAPS):PabloVillosladaElenaHMar,nez-Lapiscina
FundingRacetoEraseMSGenentechCorporaJonNaJonalInsJtuteofHealth(5R01NS082347-02)NaJonalMulJpleSclerosisSociety(TR3760-A3
&RG4212-A-4)NaJonalEyeInsJtute(R01EY014933&R01EY
019473)BraxtonDebbieAngelaDillon&Skip(DADS)
DonorAdvisorFund