Evidence map›Paper›PMID 38526586›Full record

ArticleClinical neuroradiology2024

Flat-panel Detector Perfusion Imaging and Conventional Multidetector Perfusion Imaging in Patients with Acute Ischemic Stroke : A Comparative Study.

Bettina L Serrallach, Adnan Mujanovic, Nikolaos Ntoulias, Michael Manhart, Mattia Branca, Alex Brehm, Marios-Nikos Psychogios, Christoph C Kurmann, Eike I Piechowiak, Sara Pilgram-Pastor and 6 more

Erratum issuedAbstract readComparative Study
In one paragraph

Article in Clinical neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Bettina L SerrallachDepartment of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland. bettina.serrallach@insel.ch.ORCID http://orcid.org/0000-0002-1301-7798
Adnan MujanovicDepartment of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.ORCID http://orcid.org/0000-0002-6839-7134
Nikolaos NtouliasDepartment of Neuroradiology, Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben 4/Spitalstrasse 21, 4031, Basel, Switzerland.
Michael ManhartAdvanced Therapies, Siemens Healthcare GmbH, Siemensstrasse 1, 91301, Forchheim, Germany.
Mattia BrancaCTU Bern, University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.ORCID http://orcid.org/0000-0002-8063-7882
Alex BrehmDepartment of Neuroradiology, Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben 4/Spitalstrasse 21, 4031, Basel, Switzerland.ORCID http://orcid.org/0000-0002-1630-6210
Marios-Nikos PsychogiosDepartment of Neuroradiology, Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben 4/Spitalstrasse 21, 4031, Basel, Switzerland.
Christoph C KurmannDepartment of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.ORCID http://orcid.org/0000-0001-5770-5675
Eike I PiechowiakDepartment of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.ORCID http://orcid.org/0000-0001-5609-0998
Sara Pilgram-PastorDepartment of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.ORCID http://orcid.org/0000-0002-9879-2637
Thomas MeinelDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.ORCID http://orcid.org/0000-0002-0647-9273
David SeiffgeDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.ORCID http://orcid.org/0000-0003-3890-3849
Pasquale MordasiniDepartment of Radiology, Netzwerk Radiologie, Kantonsspital St. Gallen, Rorschacher Strasse 95, 9007, St. Gallen, Switzerland.
Jan GrallaDepartment of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.ORCID http://orcid.org/0000-0003-1953-9033
Tomas DobrockyDepartment of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.ORCID http://orcid.org/0000-0002-6167-3343
Johannes KaesmacherDepartment of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.ORCID http://orcid.org/0000-0002-9177-2289

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFlat-panel detector computed tomography (FDCT) is increasingly used in (neuro)interventional angiography suites. This study aimed to compare FDCT perfusion (FDCTP) with conventional multidetector computed tomography perfusion (MDCTP) in patients with acute ischemic stroke.

methodsIn this study, 19 patients with large vessel occlusion in the anterior circulation who had undergone mechanical thrombectomy, baseline MDCTP and pre-interventional FDCTP were included. Hypoperfused tissue volumes were manually segmented on time to maximum (Tmax) and time to peak (TTP) maps based on the maximum visible extent. Absolute and relative thresholds were applied to the maximum visible extent on Tmax and relative cerebral blood flow (rCBF) maps to delineate penumbra volumes and volumes with a high likelihood of irreversible infarcted tissue ("core"). Standard comparative metrics were used to evaluate the performance of FDCTP.

resultsStrong correlations and robust agreement were found between manually segmented volumes on MDCTP and FDCTP Tmax maps (r = 0.85, 95% CI 0.65-0.94, p < 0.001; ICC = 0.85, 95% CI 0.69-0.94) and TTP maps (r = 0.91, 95% CI 0.78-0.97, p < 0.001; ICC = 0.90, 95% CI 0.78-0.96); however, direct quantitative comparisons using thresholding showed lower correlations and weaker agreement (MDCTP versus FDCTP Tmax 6 s: r = 0.35, 95% CI -0.13-0.69, p = 0.15; ICC = 0.32, 95% CI 0.07-0.75). Normalization techniques improved results for Tmax maps (r = 0.78, 95% CI 0.50-0.91, p < 0.001; ICC = 0.77, 95% CI 0.55-0.91). Bland-Altman analyses indicated a slight systematic underestimation of FDCTP Tmax maximum visible extent volumes and slight overestimation of FDCTP TTP maximum visible extent volumes compared to MDCTP.

conclusionFDCTP and MDCTP provide qualitatively comparable volumetric results on Tmax and TTP maps; however, direct quantitative measurements of infarct core and hypoperfused tissue volumes showed lower correlations and agreement.

Indexed as

Ischemic StrokeMultidetector Computed TomographyPerfusion ImagingSensitivity and SpecificityAgedAged, 80 and overCerebral AngiographyCerebrovascular CirculationComputed Tomography AngiographyFemaleHumansMaleMiddle AgedReproducibility of ResultsInfarct corePenumbraRelative cerebral blood flowTime to maximumTime to peak

Identifiers

PMID38526586
PMCPMC11339100

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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.