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ArticleRadiological physics and technology2019

Voxel-based morphometry analysis of double inversion-recovery magnetic resonance imaging for detecting microscopic lesions: a simulation study.

Sato Yusuke, Hayashi Norio, Maruyama Tomoko, Motegi Shunichi, Ujita Koichi, Suto Takayuki, Watanabe Haruyuki, Ogura Toshihiro, Ogura Akio, Tsushima Yoshito

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Article in Radiological physics and technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Sato YusukeDepartment of Radiological Technology, Graduate School of Radiological Technology, Gunma Prefectural College of Health Sciences, 323-1 Kamioki, Maebashi, Gunma, 371-0052, Japan. mr175101@gchs.ac.jp.
Hayashi NorioDepartment of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
Maruyama TomokoDepartment of Radiological Technology, Graduate School of Radiological Technology, Gunma Prefectural College of Health Sciences, 323-1 Kamioki, Maebashi, Gunma, 371-0052, Japan.
Motegi ShunichiDepartment of Radiology, Josai Clinic, Maebashi, Japan.
Ujita KoichiDepartment of Radiology, Gunma University Hospital, Maebashi, Japan.
Suto TakayukiDepartment of Radiology, Gunma University Hospital, Maebashi, Japan.
Watanabe HaruyukiDepartment of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
Ogura ToshihiroDepartment of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
Ogura AkioDepartment of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
Tsushima YoshitoDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Double inversion-recovery (DIR) imaging has the potential to improve the detection of subcortical lesions through the use of voxel-based morphometry (VBM) analysis. The aim of this study was to clarify the characteristics of detectable lesions by performing a VBM analysis on DIR images of simulated lesions. Twenty healthy volunteers underwent magnetic resonance imaging using a head three-dimensional DIR sequence. The images were processed using SPM12; then, the selected images with simulated lesions were analyzed via VBM. The VBM results were evaluated using free-response receiver-operating characteristic curves and a receiver-operating characteristic analysis. The sensitivity was 100% (5/5), with 5.6 false-positive objects per case, in simulated lesions with a contrast of 0.6 and a size of 2.4 mm. The sensitivity was 80% (4/5), with 5.4 false-positive objects per case, in simulated lesions with a contrast of 0.5 and a size of 2.4 mm. The mean area under the curve value was increased from 0.783 to 0.883 using VBM, with a statistically significant difference (p < 0.01). The VBM analysis of the DIR images using SPM alone showed the potential to detect subcortical microscopic lesions. Early detection of Alzheimer's disease may be possible by adapting VBM in the clinical setting.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingAdultBrainBrain InfarctionFemaleHealthy VolunteersHumansMaleYoung AdultDIRMRISPMVBM

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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.