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CTA-Source Images: Volume or Flow Weighted?

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Presentation on theme: "CTA-Source Images: Volume or Flow Weighted?"— Presentation transcript:

1 CTA-Source Images: Volume or Flow Weighted?
Sharma et al. AJNR In Press

2 stroke <1 hr - R hemisphere

3 ICA, MCA, ACA termination occlusion

4 stroke <1 hr - CTA source images (SI)
Aviv et al Clin Radiol. 2007;62:447

5 CT-Perfusion matched defects: no penumbra! no brain at risk to salvage!
mean transit time MTT matched CBV = infarction blood volume CBV blood flow rCBF Murphy et al. Stroke :1771 Aviv et al. AJNR 2007; 28:1975 Murphy et al. Radiology :818

6 CBV for infarction identification
CT perfusion match or mismatch Murphy, Fox, Lee et al, Stroke :1771

7 CT stroke protocol - 4 (64 +) slice CT
NON CONTRAST CT ~ 20 sec CTA NECK & HEAD ~ 20 sec MIP-MRPs (2D) - coronal, sagittal, rotating obliques (secs) MIP MPRs done immediately by techs * CT-P 2cm (8cm) BASAL GANGLIA & VENTS ~ 40 sec rCBF (cerebral blood flow ml/100 g brain/minute) CBV (blood volume) MTT (transit time) flow maps done immediately by techs POST CONTRAST CT ~ 20 sec TOTAL SCANNING ~100 sec NOT MUCH MORE TIME THAN SIMPLE NCCT ALONE * no time waste time for rendering; MPRs off operating console by techs * main advantage of CT over MR stroke protocol is time

8 CTA-Source Images: Volume or Flow Weighted?
Sharma et al. AJNR In Press

9 INTRODUCTION CTA Source Images –
valuable for more than for angio images previously correlated to MR-DWI predicts final infarct volume >than NCCT matched final infarct after re-canalization confirmed by study using ASPECTS assess infarct extent in absence of DWI CTA shows vascular contrast filling. When we look beyond blood vessels, we also see parenchymal filling. There have been correlations of CTA source images with DWI of the same cases to predict infarction volume. Can we use CTA source images instead of DWI? Schram et al;Camargo et al;Kloska at al;Warach et al;Coutts et al;Aviv et al

10 INTRODUCTION cont’d NCCT, CTA-SI, CBV maps: seeking unsalvageable tissue despite reperfusion BUT . . . observed CTA-SI ↓ density often larger than CTP-CBV defect CTA-SI CTP-CBV ? Here we have on right CBV – showing infarction as volume defect with a gray scale map, compared to CTA source image on left. The reduced density on CTA SI is much wider than that of the CBV, a small region in deep right frontal lobe. Why is this?

11 INTRODUCTION contd AIM
correlate CTA-SI and PCCT ↓ density with CTP-CBF (ischemic) and CTP-CBV (infarcted) defects HYPOTHESES CTA-SI – more CBF (ischemic) defect PCCT - more CBV (infarcted) defect This study was aimed to compare CTA-SI and post contrast CT densities with CBF and CBV, with the hypothesis of CTA-SI closer to CBF and post contrast CT closer to CBV

12 MATERIALS & METHODS Research Ethics Board approval
64 cases (M:35,F:29) stroke database (Jun07-Jan 09) entry data documented (ASPECTS, NIHSS, time to scan, rtPA dose, vessel occlusion, etc) 64 slice CT; CTA-SI mm → 4mm slab, 2mm gap image co-registration- SPM 5.0/Analyze 8.0 CTA-SI, PCCT, CTP-CBF, CTP-CBV tracings by 3 NR using MIPAV; volumes calculated For the CTA-SI we combine adjacent mm slices to 4 mm. 3 neuroradiology readers completed tracings for the multiple images. Volumes calculated from results.

13 Spearman correlation (r) for association
MATERIALS & METHODS STATISTICAL METHODS Spearman correlation (r) for association univariate linear regression analysis seeking relation between CTA:CBF, CTA:CBV, PCCT:CBF, PCCT:CBV - BLAND-ALTMAN TECHNIQUE calculations with SAS 9.2 There were multiple statistical analyses.

14 RESULTS defect mean volumes (cm3): CTA-SI 81.84 PCCT 35.30
mean time to CT: 117±54 median NIHSS: 14.5 vessel occluded: ICA 7, ACA 14, MCA M1-M4 43 defect mean volumes (cm3): CTA-SI PCCT 35.30 CBF CBV Spearman correlations: CTA-SI & CBF: r=0.89; p<0.0001 PCCT & CBV: r=0.79; p<0.0001 CTA-SI & CBV: r=0.50 PCCT & CBF: r=0.52 There are many points here. The key results are that CTA-SI and CBF show affected volume close in size while PCCT and CBV are very close.

15 OUTLIERS: residuals > Q3+ 0.5 IQR or < Q1+ 0.5 IQR
RESULTS contd. SCATTER PLOTS CTA:CBF CTA:CBF log PCCT:log CBV log PCCT:log CBV Curve for CTA-SI and CBF is linear, and PCCT and CBV are linear for the log. OUTLIERS: residuals > Q IQR or < Q IQR residuals = differences predicted/actual values

16 RESULTS – “outliers”: worse infarcts, ↑NIHSS, ↓ASPECTS
comparison: data of outliers/others for CTA with CBF Demographics N Mean p-value age (mean±SD; yrs) Non Outlier 47 68.43±15.65 0.6702 Outlier 17 69.47±10.33 male gender n (%) 26 (55%) 0.8660 9 (53%) rTPA administration n (%) 34 (72%) 0.8905 12 (71%) ASPECTS (median(Q1-3)) 7.00 (6-9) 0.0141 6.00 (4-8) NIHSS (median(Q1-3)) 12.00 (7-18) 0.0168 18.00 (14-20) onset to CT Scan (median(Q1-3); min) 44 ( ) 0.2703 95.00 (72-126) Time bolus trigger to mid-infarct (median(Q1-3); min; secs) 21.00 (16-32) 0.1429 36.00 (16-46) Recanalization n (%) 0.5755 11 (65%) There are many data points here. From Mans CTA-SI outliers had lower ASPECTS and higher NIHSS score meaning those patients had severer infarcts to begin with. This in turn means that there is no surprise that these outliers seemed to have more 'volume weightage'. I think it is ok to exclude the data sheet unless you want to show how complicated the whole thing is!

17 matched CBF-CBV defect = infarction
PCCT CTA SI matched infarction implies CBF from SI matches infarction of PCCT

18 comparison: demographic data of outliers for PCCT with CBV
RESULTS contd. comparison: demographic data of outliers for PCCT with CBV Demographic N Mean p-value Age (mean±SD; yrs) Non Outlier 48 68.48±13.72 0.8160 Outlier 16 69.38±16.59 Male gender n (%) 27 (56%) 0.7744 8 (50%) rTPA administration n (%) 35 (73%) 0.7563 11 (69%) ASPECTS (median(Q1-3)) 7.00 (6-9) 0.9622 6.50 (6-8.5) NIHSS (median(Q1-3)) 16.00 ( ) 0.3018 11.50 (8-18.5) Onset to CT Scan (median(Q1-3); min) 46 (80-157) 0.1153 15 80.00 (65-118) Recanalization n (%) 26 (55%) 0.7739 11 (65%) No baseline features were significantly related to CBV outliers For CBV, there were no correlates with outliers.

19 RESULTS contd. Outliers:
↑↑NIHSS & ↓↓ASPECT score - CTA ischemic volume ~ CBV volume. i.e. CTA-SI more CBV weighted larger baseline CTA-SI defects (worse infarcts, matched CB-P) vs non-outliers (118±51 cm3 vs 78±42 cm3; p=0.002) longer mean time from smart prep completion to slice levels of ischemia With increased NIH stroke score and decreased ASPECTS score, CTA volume more approximates CBV, or infarction. Larger CTA-SI defects

20 PATIENT 1 CTP – CBF CTP – CBV CTA-SI PCCT CTP-CBV map CTP-CBF map
PCCT image map CTA-source images Case We show colour maps and grey scale maps, which have the same information. On upper left, there is a large blood flow defect showing ischemia. On lower left, the CTA-SI shows the same ischemic defect. On upper right, there is a blood volume defect smaller in the centre, showing infarction. On lower right, the infarction is seen on post contrast CT equivalent to CBV. CTA-SI shows brain at risk, NCCT shows completed infarction. CTP – CBF CTP – CBV CTA-SI PCCT

21 IMAGES PATIENT 2 CTP – CBF CTP – CBV CTA-SI PCCT CTP-CBV map
CTP-CBF map IMAGES PATIENT 2 PCCT image map CTA-source images Another case. Upper left CBF shows large flow defect in right MCA territory. Lower left shows the same extent on CTA-SI. Upper right shows CBV map without notable infarction defect whole lower right shows the post contrast CT with no defect. CTA-SI shows ischemic region of brain at risk, NCCT shows completed infarction, not seen here. CTP – CBF CTP – CBV CTA-SI PCCT

22 PATIENT 4 CTP – CBV CTA-SI PCCT CTP – CBF CTP-CBF map (a) (b) (c) (d)
CTP-CBV map PCCT image map CTA-source images (this has CBV weighting, not there on the prev version) Upper left CBF shows large flow defect in left MCA territory, as well as the infarction shown in on right images. Lower left shows the same extent on CTA-SI. Upper right shows CBV map with infarction defect while lower right shows the post contrast CT with infarction in putamen, capsule and operculum. CTA-SI shows ischemic region of brain at risk, NCCT shows completed infarction. CTP – CBF CTP – CBV CTA-SI PCCT

23 DISCUSSION CTA-SI defects correlate highly with CTP-CBF (ischemia) rather than CTP-CBV (infarction) exceptions: large, severe infarcts ↑↑NIHSS, ↓↓ASPECTS, extensive baseline CTA-SI cases with matched defects of infarction and blood flow defects For patients with mismatched ischemic and infarction defect, CTA-source images, merged into slabs, show range of ischemic brain, while post contrast CT can show range of infracted brain.

24 DISCUSSION: CTA SI scan time
older scanners - CTA - long prep delay, long scan times,  contrast rates - steady state arterial & tissue contrast – more volume-weighted* (infarct) steady state no longer true ** with faster MDCT CTA (inj rates: 5-7 ml/s; prep delay times: s – time-attenuation curve shape changed faster MDCT: CTA-SI more flow-wt than volume-wt PCCT delayed, in steady state, volume weighted Scanner time is also a factor. 4-slice machines took longer to do CTA, and are more likely to produce CTA with a steady state of contrast through a CTA scan cycle, and therefore shows infarction, like CBV. Faster machines like 64 or more can show equivalence of CBF, Post contrast CT has a steady state. * Axel L. Radiology 1980;137:679-86 Hamberg LM, Hunter GJ, Kierstead D, et al. AJNR 1996;17: Hunter GJ, Hamberg LM, Ponzo JA, et al. AJNR 1998;19:29-37 ** Konstas AA, Goldmakher GV, Lee TY, et al. AJNR 2009;30:662-68

25 DISCUSSION pathophysiology of hypodensities:
NCCT (& PCCT): extra-to-intra-cellular shift H2O CTA-SI : change in blood/contrast distribution earlier CTA reports, AHA guidelines - CTA-SI volume-weighted (infarction)* timing of CTA-SI determines flow or volume-weighted; whether contrast steady state current fast CTA-SI flow-weighted (ischemia) * Camargo EC, Furie KL, Singhal AB, et al. Radiology 2007;244:541-48 Coutts SB, Lev MH, Eliasziw M, et al. Stroke 2004;35: Lev MH, Segal AZ, Farkas J, et al. Stroke 2001;32: Lin K, Rapalino O, Law M, et al. AJNR Am J Neuroradiol 2008;29:931-36 Latchaw RE, Alberts MJ, Lev MH, et al. Stroke 2009;40:

26 DISCUSSION implications:
CTA-SI important in acute stroke CT, especially in absence of DWI whole brain coverage CTA vs limited CTP automated console-generated processing – faster availability CTA-SI + PCCT aspire to CBF and CBV limitations: 1) correlations with CTP, not “final” infarcts ) differences of + and - outliers with baseline demographics

27 CONCLUSION CTA-SI are CBF rather than CBV wt’d
study supports hypothesis that currently CTA-SI are CBF rather than CBV wt’d i.e CTA-SI show tissue at risk, not infarct CTA-SI aspire as CBF (ischemia), & PCCT as CBV and/or DWI (infarction) Thanks !


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