Evidence map›Paper›PMID 33004342›Full record

ArticleAJNR. American journal of neuroradiology2020

Dynamic CTA-Derived Perfusion Maps Predict Final Infarct Volume: The Simple Perfusion Reconstruction Algorithm.

C C McDougall, L Chan, S Sachan, J Guo, R G Sah, B K Menon, A M Demchuk, M D Hill, N D Forkert, C D d'Esterre and 1 more

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

C C McDougallFrom the Department of Clinical Neurosciences (C.C.M., R.G.S., B.K.M., A.M.D., M.D.H., C.D.d., P.A.B.), Calgary Stroke Program.ORCID 0000-0001-9398-6152
L ChanDepartment of Clinical Neurosciences (C.C.M., L.C., S.S., J.G., R.G.S., B.K.M., A.M.D., M.D.H., N.D.F., C.C.d.E.).ORCID 0000-0002-2802-3824
S SachanDepartment of Clinical Neurosciences (C.C.M., L.C., S.S., J.G., R.G.S., B.K.M., A.M.D., M.D.H., N.D.F., C.C.d.E.).ORCID 0000-0003-0126-0173
J GuoDepartment of Clinical Neurosciences (C.C.M., L.C., S.S., J.G., R.G.S., B.K.M., A.M.D., M.D.H., N.D.F., C.C.d.E.).ORCID 0000-0003-0855-4043
R G SahFrom the Department of Clinical Neurosciences (C.C.M., R.G.S., B.K.M., A.M.D., M.D.H., C.D.d., P.A.B.), Calgary Stroke Program.ORCID 0000-0001-9211-300X
B K MenonFrom the Department of Clinical Neurosciences (C.C.M., R.G.S., B.K.M., A.M.D., M.D.H., C.D.d., P.A.B.), Calgary Stroke Program.ORCID 0000-0002-3466-496X
A M DemchukFrom the Department of Clinical Neurosciences (C.C.M., R.G.S., B.K.M., A.M.D., M.D.H., C.D.d., P.A.B.), Calgary Stroke Program.ORCID 0000-0002-4930-7789
M D HillFrom the Department of Clinical Neurosciences (C.C.M., R.G.S., B.K.M., A.M.D., M.D.H., C.D.d., P.A.B.), Calgary Stroke Program.ORCID 0000-0002-6269-1543
N D ForkertDepartment of Radiology (C.C.M., B.K.M., N.D.F., C.D.d.E., P.A.B.).ORCID 0000-0003-2556-3224
C D d'EsterreFrom the Department of Clinical Neurosciences (C.C.M., R.G.S., B.K.M., A.M.D., M.D.H., C.D.d., P.A.B.), Calgary Stroke Program.ORCID 0000-0001-5568-9325
P A BarberFrom the Department of Clinical Neurosciences (C.C.M., R.G.S., B.K.M., A.M.D., M.D.H., C.D.d., P.A.B.), Calgary Stroke Program pabarber@ucalgary.ca.ORCID 0000-0002-6051-1078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeInfarct core volume measurement using CTP (CT perfusion) is a mainstay paradigm for stroke treatment decision-making. Yet, there are several downfalls with cine CTP technology that can be overcome by adopting the simple perfusion reconstruction algorithm (SPIRAL) derived from multiphase CTA. We compare SPIRAL with CTP parameters for the prediction of 24-hour infarction. MATERIALS AND

methodsSeventy-two patients had admission NCCT, multiphase CTA, CTP, and 24-hour DWI. All patients had successful/quality reperfusion. Patient-level and cohort-level receiver operator characteristic curves were generated to determine accuracy. A 10-fold cross-validation was performed on the cohort-level data. Infarct core volume was compared for SPIRAL, CTP-time-to-maximum, and final DWI by Bland-Altman analysis.

resultsWhen we compared the accuracy in patients with early and late reperfusion for cortical GM and WM, there was no significant difference at the patient level (0.83 versus 0.84, respectively), cohort level (0.82 versus 0.81, respectively), or the cross-validation (0.77 versus 0.74, respectively). In the patient-level receiver operating characteristic analysis, the SPIRAL map had a slightly higher, though nonsignificant (

conclusionsWe have shown that perfusion maps generated from a temporally sampled helical CTA are an accurate surrogate for infarct core.

Indexed as

AlgorithmsAgedCerebral AngiographyCerebral InfarctionCohort StudiesComputed Tomography AngiographyFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedNeuroimagingPerfusion ImagingROC CurveTomography, X-Ray Computed

Identifiers

PMID33004342
PMCPMC7658815

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.