Evidence map›Paper›PMID 35226245›Full record

Observational studyLa Radiologia medica2022

Predictive value of Tmax perfusion maps on final core in acute ischemic stroke: an observational single-center study.

Fabrizio Giammello, Sara Rosa Maria De Martino, Luigi Simonetti, Raffaele Agati, Stella Battaglia, Luigi Cirillo, Mauro Gentile, Ludovica Migliaccio, Stefano Forlivesi, Michele Romoli and 9 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in La Radiologia medica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

19 authors.

Fabrizio GiammelloInternational PhD Translational Molecular Medicine and Surgery, Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Polyclinic Hospital, Via Consolare Valeria 1, 98125, Messina, Italy. fabrizio.giammello@gmail.com.ORCID http://orcid.org/0000-0002-2828-1305
Sara Rosa Maria De MartinoIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Neuroradiology Unit, Bellaria Hospital, Bologna, Italy.
Luigi SimonettiIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Neuroradiology Unit, Maggiore Hospital, Bologna, Italy.
Raffaele AgatiIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Programma Neuroradiologia Con Tecniche Ad Elevata Complessità, Bellaria Hospital, Bologna, Italy.
Stella BattagliaIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Programma Neuroradiologia Con Tecniche Ad Elevata Complessità, Bellaria Hospital, Bologna, Italy.
Luigi CirilloIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Neuroradiology Unit, Bellaria Hospital, Bologna, Italy.
Mauro GentileDepartment of Neurology and Stroke Center, IRCCS Istituto Delle Scienze Neurologiche Di Bologna, Maggiore Hospital, Bologna, Italy.
Ludovica MigliaccioDepartment of Neurology and Stroke Center, IRCCS Istituto Delle Scienze Neurologiche Di Bologna, Maggiore Hospital, Bologna, Italy.
Stefano ForlivesiDepartment of Neurology and Stroke Center, IRCCS Istituto Delle Scienze Neurologiche Di Bologna, Maggiore Hospital, Bologna, Italy.
Michele RomoliDepartment of Neurology and Stroke Center, IRCCS Istituto Delle Scienze Neurologiche Di Bologna, Maggiore Hospital, Bologna, Italy.
Ciro PrinciottaIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Neuroradiology Unit, Bellaria Hospital, Bologna, Italy.
Caterina TononDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Silvia StagniIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Neuroradiology Unit, Maggiore Hospital, Bologna, Italy.
Simone GalluzzoIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Neuroradiology Unit, Maggiore Hospital, Bologna, Italy.
Raffaele LodiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Giuseppe TrimarchiFaculty of Medicine and Surgery, University of Messina, Messina, Italy.
Antonio ToscanoUnit of Neurology and Neuromuscular Diseases, Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Rosa Fortunata MusolinoStroke Unit, Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Andrea ZiniDepartment of Neurology and Stroke Center, IRCCS Istituto Delle Scienze Neurologiche Di Bologna, Maggiore Hospital, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess utility of computed tomography perfusion (CTP) protocols for selection of patients with acute ischemic stroke (AIS) for reperfusive treatments and compare the diagnostic accuracy (ACC) in predicting follow-up infarction, using time-to-maximum (Tmax) maps.

methodsWe retrospectively reviewed consecutive AIS patients evaluated for reperfusive treatments at comprehensive stroke center, employing a multimodal computed tomography. To assess prognostic accuracy of CTP summary maps in predicting final infarct area (FIA) in AIS patients, we assumed the best correlation between non-viable tissue (NVT) and FIA in early and fully recanalized patients and/or in patients with favorable clinical response (FCR). On the other hand, the tissue at risk (TAR) should better correlate with FIA in untreated patients and in treatment failure.

resultsWe enrolled 158 patients, for which CTP maps with Tmax thresholds of 9.5 s and 16 s, presented sensitivity of 82.5%, specificity of 74.6%, and ACC of 75.9%. In patients selected for perfusion deficit in anterior circulation territory, CTP-Tmax > 16 s has proven relatively reliable to identify NVT in FCR patients, with a tendency to overestimate NVT. Similarly, CTP-Tmax > 9.5 s was reliable for TAR, but it was overestimated comparing to FIA, in patients with unfavorable outcomes.

conclusionsIn our experience, Tmax thresholds have proven sufficiently reliable to identify global hypoperfusion, with tendency to overestimate both NVT and TAR, not yielding satisfactory differentiation between true penumbra and benign oligoemia. In particular, the overestimation of NVT could have serious consequences in not selecting potential candidates for a reperfusion treatment.

Indexed as

Brain IschemiaIschemic StrokeStrokeCerebrovascular CirculationHumansPerfusionRetrospective StudiesAcute ischemic strokeCT perfusionFinal infarct detectionPrognostic accuracyTime-to-maximum

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.