Evidence map›Paper›PMID 34191098›Full record

ArticleNeuroradiology2021

Accuracy of thin-slice model-based iterative reconstruction designed for brain CT to diagnose acute ischemic stroke in the middle cerebral artery territory: a multicenter study.

Hidenori Mitani, Fuminari Tatsugami, Toru Higaki, Yoko Kaichi, Yuko Nakamura, Ewoud Smit, Mathias Prokop, Chiaki Ono, Ken Ono, Yukunori Korogi and 1 more

Abstract readMulticenter Study
PubMed Publisher
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Article in Neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Hidenori MitaniDepartment of Diagnostic Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University Hospital, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan. hmitani@hiroshima-u.ac.jp.ORCID http://orcid.org/0000-0002-5942-5666
Fuminari TatsugamiDepartment of Diagnostic Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University Hospital, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Toru HigakiDepartment of Diagnostic Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University Hospital, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Yoko KaichiDepartment of Diagnostic Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University Hospital, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Yuko NakamuraDepartment of Diagnostic Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University Hospital, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Ewoud SmitDepartment of Radiology, Nuclear Medicine and Anatomy, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, Netherlands.
Mathias ProkopDepartment of Radiology, Nuclear Medicine and Anatomy, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, Netherlands.
Chiaki OnoDepartment of Diagnostic Radiology, Hiroshima City Asa Citizens Hospital, 2-1-1, Kabeminami, Asakita-ku, Hiroshima, 731-0293, Japan.
Ken OnoDepartment of Radiology, Shin Koga Hospital, 120, Tenjinmachi, Kurume, Fukuoka, 830-8577, Japan.
Yukunori KorogiDepartment of Radiology, University of Occupational and Environmental Health School of Medicine, 1-1, Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-shi, Fukuoka, Japan.
Kazuo AwaiDepartment of Diagnostic Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University Hospital, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.

Funding

Cannon Medical Systems 0G20KA7109
6 · The paper itself

Abstract

purposeModel-based iterative reconstruction (MBIR) yields higher spatial resolution and a lower image noise than conventional reconstruction methods. We hypothesized that thin-slice MBIR designed for brain CT could improve the detectability of acute ischemic stroke in the middle cerebral artery (MCA) territory.

methodsIncluded were 41 patients with acute ischemic stroke in the MCA territory; they were seen at 4 medical centers. The controls were 39 subjects without acute stroke. Images were reconstructed with hybrid IR and with MBIR designed for brain CT at slice thickness of 2 mm. We measured the image noise in the ventricle and compared the contrast-to-noise ratio (CNR) in the ischemic lesion. We analyzed the ability of reconstructed images to detect ischemic lesions using receiver operating characteristics (ROC) analysis; 8 observers read the routine clinical hybrid IR with 5 mm-thick images, while referring to 2 mm-thick hybrid IR images or MBIR images.

resultsThe image noise was significantly lower on MBIR- than hybrid IR images (1.2 vs. 3.4, p < 0.001). The CNR was significantly higher with MBIR than hybrid IR (6.3 vs. 1.6, p < 0.001). The mean area under the ROC curve was also significantly higher on hybrid IR plus MBIR than hybrid IR (0.55 vs. 0.48, p < 0.036). Sensitivity, specificity, and accuracy were 41.2%, 88.8%, and 65.7%, respectively, for hybrid IR; they were 58.8%, 86.1%, and 72.9%, respectively, for hybrid IR plus MBIR.

conclusionThe additional thin-slice MBIR designed for brain CT may improve the detection of acute MCA stroke.

Indexed as

Brain IschemiaIschemic StrokeStrokeAlgorithmsBrainHumansMiddle Cerebral ArteryRadiation DosageRadiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedDiagnostic performanceEarly CT signIterative reconstructionMultidetector-computed tomographyStroke

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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.