Evaluation of calculation processes of apparent diffusion coefficient subtraction method (ASM) imaging.

Evaluation of calculation processes of apparent diffusion coefficient subtraction method (ASM) imaging.
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DOI:
10.1371/journal.pone.0282462
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发表时间:
2023
期刊:
影响因子:
3.7
通讯作者:
--
中科院分区:
综合性期刊3区
文献类型:
--
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许多限制性弥散(RD)成像技术,如弥散峰度(DK)成像和Q空间成像,已被开发并证明可用于诊断疾病,包括脑胶质瘤和脑血管梗死。特别是,表观扩散系数(ADC)减法(ASM)成像最近已成为一种新的RD成像技术。ASM基于两个ADC图(ADC basic(ADCb)和ADC modify(ADCm))的图像对中ADC值之间的差异,这两个ADC图分别由使用短和长有效扩散时间拍摄的扩散加权图像创建。本研究旨在通过与金标准RD成像技术DK成像进行比较,评估不同类型ASM成像的潜力。在本基础研究中,使用聚乙二醇体模和含细胞生物体模,使用不同的计算过程创建了三种不同类型的ASM图像。ASM/A是通过将ADCb和ADCm之间的绝对差除以ADCb若干次计算出的图像。相比之下,ASM/S是通过将ADCb和ADCm之间的绝对差除以ADCb的标准差若干次而创建的图像。对于阳性ASM/A图像(PASM/A),将从ADCm中减去ADCb后得到的阳性图像除以ADCb数次。对ASM和DK图像类型进行了比较。结果表明,除ASM/S和PASM/A外,ASM/A之间的趋势相同。通过将ADCb的分割次数从三倍增加到五倍,ASM/A图像从DK模仿图像转变为比DK图像更RD敏感的图像。这些观察结果表明,ASM/A图像可能被证明是有用的,在未来的临床应用中的RD成像协议的疾病诊断。
A number of restricted diffusion (RD) imaging techniques, such as diffusion kurtosis (DK) imaging and Q space imaging, have been developed and proven to be useful for the diagnosis of diseases, including cerebral gliomas and cerebrovascular infarction. In particular, apparent diffusion coefficient (ADC) subtraction method (ASM) imaging has become available recently as a novel RD imaging technique. ASM is based on the difference between the ADC values in an image pair of two ADC maps, ADC basic (ADCb) and ADC modify (ADCm), which are created from diffusion-weighted images taken using short and long effective diffusion times, respectively. The present study aimed to assess the potential of different types of ASM imaging by comparing them with DK imaging which is the gold-standard RD imaging technique. In the present basic study using both polyethylene glycol phantom and cell-containing bio-phantom, three different types of ASM images were created using different calculation processes. ASM/A is an image calculated by dividing the absolute difference between ADCb and ADCm by ADCb several times. By contrast, ASM/S is an image created by dividing the absolute difference between ADCb and ADCm by the standard deviation of ADCb several times. As for positive ASM/A image (PASM/A), the positive image, which was resultant after subtracting ADCb from ADCm, was divided by ADCb several times. A comparison was made between the types of ASM and DK images. The results showed the same tendency between ASM/A in addition to both ASM/S and PASM/A. By increasing the number of divisions by ADCb from three to five times, ASM/A images transformed from DK-mimicking to more RD-sensitive images compared with DK images. These observations suggest that ASM/A images may prove useful for future clinical applications in RD imaging protocols for the diagnosis of diseases.
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