New open-source ictal SPECT analysis method implemented in BioImage Suite.

New open-source ictal SPECT analysis method implemented in BioImage Suite.
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DOI:
10.1111/j.1528-1167.2009.02425.x
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发表时间:
2010-04
期刊:
影响因子:
5.6
通讯作者:
Blumenfeld H
Blumenfeld H
中科院分区:
医学1区
文献类型:
--
作者:
Scheinost D;Teisseyre TZ;Distasio M;DeSalvo MN;Papademetris X;Blumenfeld H

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发作期单光子发射计算机断层扫描 (SPECT) 是无创癫痫定位的强大工具,但由于实际挑战(包括难以实施发作期 - 发作间期 SPECT 差异分析),它尚未得到充分利用。我们之前验证了用于此目的的免费实用程序,即通过统计参数映射 (SPM) (ISAS) 进行的发作间期减法分析。为了进一步简化和改进差异成像技术,我们现在将新算法 ISAS BioImage Suite(参见 http://spect.yale.edu 和 http://bioimagesuite.org)与原始 ISAS 方法在 13 名已知癫痫发作定位的患者中进行比较。我们发现,在 ISAS 正确识别出单个明确的癫痫发作区域的所有情况下,ISAS BioImage Suite 都与原始算法一致。我们还测试了用于分析的对照组中扫描顺序偏差的可能影响,发现对结果没有显着影响。这些发现建立了一种简单、经过验证且客观的方法来分析发作期-发作间期 SPECT 差异图像,用于癫痫患者的护理。
Ictal single photon emission computed tomography (SPECT) is a powerful tool for noninvasive seizure localization, but it has been underutilized because of practical challenges, including difficulty in implementing ictal-interictal SPECT difference analysis. We previously validated a freely available utility for this purpose, ictal-interictal subtraction analysis by statistical parametric mapping (SPM) (ISAS). To further simplify and improve the difference imaging technique, we now compare a new algorithm, ISAS BioImage Suite (see http://spect.yale.edu and http://bioimagesuite.org), to the original ISAS method in 13 patients with known seizure localization. We found that ISAS BioImage Suite was in agreement with the original algorithm in all cases for which ISAS correctly identified a single unambiguous region of seizure onset. We also tested for possible effects of scan-order bias in the control group used for the analysis and found no significant effect on the results. These findings establish a simple, validated and objective method for analyzing ictal-interictal SPECT difference images for use in the care of patients with epilepsy.
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