Diagnosis of small posterior fossa stroke on brain CT: effect of iterative reconstruction designed for brain CT on detection performance.
Objectives: In this study, we aimed to determine whether iterative model reconstruction designed for brain CT (IMR-neuro) would improve the accuracy of posterior fossa stroke diagnosis on brain CT.Methods: We enrolled 37 patients with ischaemic stroke in the posterior fossa and 37 patients without s...
| Publicado en: | European Radiology Vol. 27; no. 9; pp. 3710 - 3716 |
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| Autores principales: | , , , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124485405&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124485405 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Sep2017 vid: 27 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 124485405 124485405 143906547 NLM28275901 124485405 10.1007/s00330-017-4773-4 NLM28275901 124485405 ppf: 3710 ppct: 6 formats: fmt: @attributes: type: P tig: atl: Diagnosis of small posterior fossa stroke on brain CT: effect of iterative reconstruction designed for brain CT on detection performance. aug: au: Inoue, Taihei Nakaura, Takeshi Yoshida, Morikatsu Yokoyama, Koichi Hirata, Kenichiro Kidoh, Masafumi Oda, Seitaro Utsunomiya, Daisuke Harada, Kazunori Yamashita, Yasuyuki affil: Department of Radiology , Amakusa Medical Center , 854-1 Jikiba Amakusa Japan sug: subj: Tomography, X-Ray Computed Methods Cerebral Ischemia Neuroradiography Methods Radiographic Image Interpretation, Computer-Assisted Methods Stroke Aged Algorithms Adult Middle Age Female Male Retrospective Design Human Aged: 65+ years Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: Objectives: In this study, we aimed to determine whether iterative model reconstruction designed for brain CT (IMR-neuro) would improve the accuracy of posterior fossa stroke diagnosis on brain CT.Methods: We enrolled 37 patients with ischaemic stroke in the posterior fossa and 37 patients without stroke (controls). Using axial images reconstructed using filtered back-projection (FBP) and IMR-neuro, we compared the CT numbers in infarcted areas, image noise in the pons, and contrast-to-noise ratios (CNRs) of infarcted and non-infarcted areas on scans subjected to IMR-neuro and FBP. To analyse the performance of hypo-attenuation detection, we used receiver-operating characteristic (ROC) curve techniques.Results: The image noise was significantly lower (2.2 ± 0.5 vs. 5.1 ± 0.9 Hounsfield units, p < 0.01) and the difference in CNR between the infarcted and non-infarcted areas was significantly higher with IMR-neuro than with FBP (2.2 ± 1.7 vs. 4.0 ± 3.6, p < 0.01). Furthermore, the average area under the ROC curve was significantly higher with IMR-neuro (0.90 vs. 0.86 for FBP, p = 0.04).Conclusion: IMR-neuro yielded better image quality and improved hypo-attenuation detection in patients with ischaemic stroke.Key Points: • Iterative model reconstruction of brain CT data can facilitate the diagnosis of ischaemic stroke. • IMR improved the detectability of low-contrast lesions in the posterior fossa. • IMR-neuro yielded better image quality and improved observer performance. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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