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高分解能ＥＩＳＴとアルブミン輸送モデルによる早期リンパ浮腫診断法と予測法の確立

利用高分辨率EIST和白蛋白转运模型建立早期淋巴水肿诊断和预测方法

基本信息

批准号：
18F18060
负责人：
武居昌宏
金额：
$ 1.47万
依托单位：
Chiba University
依托单位国家：
日本
项目类别：
Grant-in-Aid for JSPS Fellows
财政年份：
2018
资助国家：
日本
起止时间：
2018-04-25 至 2020-03-31
项目状态：
已结题

项目摘要

c-EIST system and the prediction model of Lymphedema through the proposal of Albumin Transport Model (ATM) are very important and highly needed. However, the research of c-EIST development for Lymphedema detection was quite tough because of we lack real data from patient. Thus, it is needed more data from the clinical trial. The knowledge on our team about the development this system and prediction model, obviously can be applied on wide research area. On this study, variations of albumin concentration on fluid plasma and saline-agar phantom as a mimic of SAT were conducted because it is not established yet. It shows that the increasing the albumin concentration causes the decreasing of the resistance plasma serum in the case of globulin protein is considered as confounding factor (Baidillah, et a., 2018a). In the case of sensor attached to the object surface, the contact impedance arise and affect to the unknown impedance measurement. This study has proposed a new method to eliminate the unknown contact impedance by employing the cole-cole impedance model (Baidillah, et al., 2019a). It is obvious to conclude that the changing of impedance measurement due to increasing of albumin content level is smaller as compared with one due to the time-varying random noise. Elimination the effect of time-varying random noise is also proposed to improve the performance (Baidillah, et al., 2019b). Moreover, we proposed a method to improve the image reconstruction algorithm method in order to evaluate the changing of SAT on the long-term monitoring (Ryoma, et al., 2020).

c-EIST系统和通过白蛋白转运模型（Albumin Transport model， ATM）提出的淋巴水肿预测模型是非常重要和迫切需要的。然而，由于缺乏来自患者的真实数据，c-EIST开发用于淋巴水肿检测的研究相当困难。因此，需要更多的临床试验数据。我们团队在开发该系统和预测模型方面的知识显然可以应用于广泛的研究领域。在这项研究中，液体血浆白蛋白浓度的变化和盐琼脂幻影作为SAT的模拟物进行了研究，因为它尚未建立。结果表明，在球蛋白被认为是混杂因素的情况下，白蛋白浓度的升高会导致血浆血清抵抗水平的下降（Baidillah, et a., 2018a）。当传感器附着在物体表面时，会产生接触阻抗，对未知阻抗的测量产生影响。本研究提出了利用cole-cole阻抗模型消除未知接触阻抗的新方法（Baidillah, et al., 2019a）。结果表明，白蛋白含量升高引起的阻抗测量值变化小于随机噪声引起的阻抗测量值变化。为了提高性能，还提出了消除时变随机噪声的影响（Baidillah, et al., 2019b）。此外，为了评估长期监测中SAT的变化，我们提出了一种改进图像重建算法方法（Ryoma, et al., 2020）。