Literature DB >> 34191098

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 Mitani1, Fuminari Tatsugami2, Toru Higaki2, Yoko Kaichi2, Yuko Nakamura2, Ewoud Smit3, Mathias Prokop3, Chiaki Ono4, Ken Ono5, Yukunori Korogi6, Kazuo Awai2.   

Abstract

PURPOSE: Model-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.
METHODS: Included 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.
RESULTS: The 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.
CONCLUSION: The additional thin-slice MBIR designed for brain CT may improve the detection of acute MCA stroke.

Entities:  

Keywords:  Diagnostic performance; Early CT sign; Iterative reconstruction; Multidetector-computed tomography; Stroke

Year:  2021        PMID: 34191098     DOI: 10.1007/s00234-021-02745-4

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  23 in total

1.  Comparison of iterative model, hybrid iterative, and filtered back projection reconstruction techniques in low-dose brain CT: impact of thin-slice imaging.

Authors:  Takeshi Nakaura; Yuji Iyama; Masafumi Kidoh; Koichi Yokoyama; Seitaro Oda; Shinichi Tokuyasu; Kazunori Harada; Yasuyuki Yamashita
Journal:  Neuroradiology       Date:  2015-12-29       Impact factor: 2.804

2.  Using the baseline CT scan to select acute stroke patients for IV-IA therapy.

Authors:  M D Hill; A M Demchuk; T A Tomsick; Y Y Palesch; J P Broderick
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

3.  A three-dimensional statistical approach to improved image quality for multislice helical CT.

Authors:  Jean-Baptiste Thibault; Ken D Sauer; Charles A Bouman; Jiang Hsieh
Journal:  Med Phys       Date:  2007-11       Impact factor: 4.071

4.  State of the Art: Iterative CT Reconstruction Techniques.

Authors:  Lucas L Geyer; U Joseph Schoepf; Felix G Meinel; John W Nance; Gorka Bastarrika; Jonathon A Leipsic; Narinder S Paul; Marco Rengo; Andrea Laghi; Carlo N De Cecco
Journal:  Radiology       Date:  2015-08       Impact factor: 11.105

5.  Diagnosis of small posterior fossa stroke on brain CT: effect of iterative reconstruction designed for brain CT on detection performance.

Authors:  Taihei Inoue; Takeshi Nakaura; Morikatsu Yoshida; Koichi Yokoyama; Kenichiro Hirata; Masafumi Kidoh; Seitaro Oda; Daisuke Utsunomiya; Kazunori Harada; Yasuyuki Yamashita
Journal:  Eur Radiol       Date:  2017-03-08       Impact factor: 5.315

6.  Iterative Reconstruction Designed for Brain CT: A Correlative Study With Filtered Back Projection for the Diagnosis of Acute Ischemic Stroke.

Authors:  Yuji Iyama; Takeshi Nakaura; Seitaro Oda; Masafumi Kidoh; Daisuke Utsunomiya; Morikatsu Yoshida; Hideaki Yuki; Kenichiro Hirata; Yoshinori Funama; Kazunori Harada; Kazuo Awai; Toshinori Hirai; Yasuyuki Yamashita
Journal:  J Comput Assist Tomogr       Date:  2017 Nov/Dec       Impact factor: 1.826

7.  Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy. ASPECTS Study Group. Alberta Stroke Programme Early CT Score.

Authors:  P A Barber; A M Demchuk; J Zhang; A M Buchan
Journal:  Lancet       Date:  2000-05-13       Impact factor: 79.321

Review 8.  Management of acute ischemic stroke.

Authors:  Michael S Phipps; Carolyn A Cronin
Journal:  BMJ       Date:  2020-02-13

9.  ASPECTS (Alberta Stroke Program Early CT Score) Assessment of the Perfusion-Diffusion Mismatch.

Authors:  Louis Lassalle; Guillaume Turc; Marie Tisserand; Sylvain Charron; Pauline Roca; Stephanie Lion; Laurence Legrand; Myriam Edjlali; Olivier Naggara; Jean-François Meder; Jean-Louis Mas; Jean-Claude Baron; Catherine Oppenheim
Journal:  Stroke       Date:  2016-09-13       Impact factor: 7.914

10.  Brain computed tomography using iterative reconstruction to diagnose acute middle cerebral artery stroke: usefulness in combination of narrow window setting and thin slice reconstruction.

Authors:  Taihei Inoue; Takeshi Nakaura; Morikatsu Yoshida; Koichi Yokoyama; Hiroyuki Uetani; Seitaro Oda; Daisuke Utsunomiya; Mika Kitajima; Kazunori Harada; Yasuyuki Yamashita
Journal:  Neuroradiology       Date:  2018-02-23       Impact factor: 2.804

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  1 in total

1.  Model-Based Iterative Reconstruction (MBIR) for ASPECT Scoring in Acute Stroke Patients Selection: Comparison to rCBV and Follow-Up Imaging.

Authors:  Brieg Dissaux; Mourad Cheddad El Aouni; Julien Ognard; Jean-Christophe Gentric
Journal:  Tomography       Date:  2022-05-05
  1 in total

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