Value of three-dimensional maximum intensity projection display to assist in magnetic resonance imaging (MRI)-based grading in a mouse model of subarachnoid hemorrhage

Tomoko Mutoh, Tatsushi Mutoh, Kazumasu Sasaki, Kazuhiro Nakamura, Yasuyuki Taki, Tatsuya Ishikawa

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Background: Subarachnoid hemorrhage (SAH) is one of the most devastating cerebrovascular disorders. We report on the diagnostic value of three-dimensional (3-D) maximum intensity projection (MIP) reconstruction of T2*-weighted magnetic resonance images (MRI), processed using graphical user interface-based software, to aid in the accurate grading of endovascular-perforation-induced SAH in a mouse model. Material/Methods: A total of 30 mice were subjected to SAH by endovascular perforation; three (10%) were scored as grade 0, six (20%) as grade 1, six (20%) as grade 2, eight (27%) as grade 3, and seven (23%) as grade 4 according to T2*-weighted coronal slices. In comparison, none of mice were scored as grade 0, eight (27%) as grade 1, five (17%) as grade 2, nine (30%) as grade 3, and eight (27%) as grade 4 based on subsequent evaluation using reconstructed 3-D MIP images. Results: Mice scored as grade 0 (10%; no visible SAH) on T2*-coronal images were categorized as grades 1 (thin/localized SAH) and 3 (thick/diffuse SAH) according to 3-D MIP images. Grades based on T2* 3-D MIP images were more closely correlated with conventional SAH score (r2=0.59; P<0.0001) and neurological score (r2=0.25; P=0.005) than those based on T2*-coronal slices (r2=0.46; P<0.0001 for conventional score and r2=0.15; P=0.035 for neurological score). Conclusions: These results suggest that 3-D MIP images generated from T2*-weighted MRI data may be useful for the simple and precise grading of SAH severity in mice to overcome the weakness of the current MRI-based SAH grading system.

Original languageEnglish
Pages (from-to)2050-2055
Number of pages6
JournalMedical Science Monitor
Volume22
DOIs
Publication statusPublished - 2016 Jun 16

Keywords

  • Image processing, computer-assisted
  • Magnetic resonance imaging
  • Mice, c57bl/6
  • Subarachnoid hemorrhage

ASJC Scopus subject areas

  • Medicine(all)

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