Evidence map›Paper›PMID 32813027›Full record

ArticleNeuroradiology2021

Qualitative versus automatic evaluation of CT perfusion parameters in acute posterior circulation ischaemic stroke.

Raffaella Capasso, Stefano Vallone, Nicola Serra, Gabriele Zelent, Luca Verganti, Federico Sacchetti, Guido Bigliardi, Livio Picchetto, Ferdinando Caranci, Andrea Zini

Open access · hybridAbstract read
In one paragraph

Article in Neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Raffaella CapassoDepartment of Medicine and Health Science "V. Tiberio", University of Molise, Via Francesco De Sanctis, 1, 86100, Campobasso, Italy. dott.ssacapasso@gmail.com.ORCID https://orcid.org/0000-0002-6033-8463
Stefano ValloneNeuroradiology Unit, Ospedale Civile S.Agostino-Estense, Azienda Ospedaliero-Universitaria di Modena, Dipartimento di Neuroscienze, University of Modena and Reggio Emilia, Modena, Italy.
Nicola SerraStatistic Unit, Department of Public Health, University of Federico II, Naples, Italy.
Gabriele ZelentNeuroradiology Unit, Ospedale Civile S.Agostino-Estense, Azienda Ospedaliero-Universitaria di Modena, Dipartimento di Neuroscienze, University of Modena and Reggio Emilia, Modena, Italy.
Luca VergantiNeuroradiology Unit, Ospedale Civile S.Agostino-Estense, Azienda Ospedaliero-Universitaria di Modena, Dipartimento di Neuroscienze, University of Modena and Reggio Emilia, Modena, Italy.
Federico SacchettiNeuroradiology Unit, Ospedale Civile S.Agostino-Estense, Azienda Ospedaliero-Universitaria di Modena, Dipartimento di Neuroscienze, University of Modena and Reggio Emilia, Modena, Italy.
Guido BigliardiStroke Unit, Ospedale Civile S.Agostino-Estense, Azienda Ospedaliero-Universitaria di Modena, Dipartimento di Neuroscienze, University of Modena and Reggio Emilia, Modena, Italy.ORCID https://orcid.org/0000-0001-5312-7206
Livio PicchettoStroke Unit, Ospedale Civile S.Agostino-Estense, Azienda Ospedaliero-Universitaria di Modena, Dipartimento di Neuroscienze, University of Modena and Reggio Emilia, Modena, Italy.
Ferdinando CaranciDepartment of Medicine and Health Science "V. Tiberio", University of Molise, Via Francesco De Sanctis, 1, 86100, Campobasso, Italy.ORCID https://orcid.org/0000-0003-4381-8323
Andrea ZiniIRCCS Istituto delle Scienze Neurologiche di Bologna, Department of Neurology and Stroke Center, Maggiore Hospital, Bologna, Italy.ORCID https://orcid.org/0000-0003-1486-4507
University of Modena and Reggio Emilia · ITUniversity of Molise · ITFederico II University Hospital · ITIstituto delle Scienze Neurologiche di Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the diagnostic accuracy (ACC) in the detection of acute posterior circulation strokes between qualitative evaluation of software-generated colour maps and automatic assessment of CT perfusion (CTP) parameters.

methodsWere retrospectively collected 50 patients suspected of acute posterior circulation stroke who underwent to CTP (GE "Lightspeed", 64 slices) within 24 h after symptom onset between January 2016 and December 2018. The Posterior circulation-Acute Stroke Prognosis Early CT Score (pc-ASPECTS) was used for quantifying the extent of ischaemic areas on non-contrast (NC)CT and colour-coded maps generated by CTP4 (GE) and RAPID (iSchemia View) software. Final pc-ASPECTS was calculated on follow-up NCCT and/or MRI (Philips Intera 3.0 T or Philips Achieva Ingenia 1.5 T). RAPID software also elaborated automatic quantitative mismatch maps.

resultsBy qualitative evaluation of colour-coded maps, MTT-CTP4D and Tmax-RAPID showed the highest sensitivity (SE) (88.6% and 90.9%, respectively) and ACC (84% and 88%, respectively) compared with the other perfusion parameters (CBV, CBF). Baseline NCCT and CBF provided by RAPID quantitative perfusion mismatch maps had the lowest SE (29.6% and 6.8%, respectively) and ACC (38% and 18%, respectively). CBF and Tmax assessment provided by quantitative RAPID perfusion mismatch maps showed significant lower SE and ACC than qualitative evaluation. No significant differences were found between the pc-ASPECTSs assessed on colour-coded MTT and Tmax maps neither between the scores assessed on colour-coded CBV-CTP4D and CBF-RAPID maps.

conclusionQualitative analysis of colour-coded maps resulted more sensitive and accurate in the detection of ischaemic changes than automatic quantitative analysis.

Indexed as

Brain IschemiaIschemic StrokeStrokeCerebrovascular CirculationHumansPerfusionReproducibility of ResultsRetrospective StudiesTomography, X-Ray ComputedAutomaticCT perfusionPerfusion mapsPosterior ischaemic strokeRAPID

Identifiers

PMID32813027
PMCPMC7880970
OpenAlexW3051168136

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Registered trials

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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.