Detection of Invasive Ductal Carcinoma by Electrical Impedance Spectroscopy Implementing Gaussian Relaxation-Time Distribution (EIS-GRTD).

IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Biomedical Physics & Engineering Express Pub Date : 2024-09-11 DOI:10.1088/2057-1976/ad795f

Galih Setyawan,Kiagus Aufa Ibrahim,Ryoma Ogawa,Prima Asmara Sejati,Hiroshi Fujimoto,Hiroto Yamamoto,Masahiro Takei

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引用次数: 0

Abstract

Breast cancer detection and differentiation of breast tissues are critical for accurate diagnosis and treatment planning. This study addresses the challenge of distinguishing between invasive ductal carcinoma (IDC), normal glandular breast tissues (nGBT), and adipose tissue using electrical impedance spectroscopy combined with Gaussian relaxation-time distribution (EIS-GRTD). The primary objective is to investigate the relaxation-time characteristics of these tissues and their potential to differentiate between normal and abnormal breast tissues. We applied a single-point EIS-GRTD measurement to ten mastectomy specimens across a frequency range f = 4 Hz to 5 MHz. The method calculates the differential ratio of the relaxation-time distribution function ∆γ between IDC and nGBT, which is denoted by 〖∆γ〗^(IDC-nGBT), and ∆γ between IDC and adipose tissues, which is denoted by 〖∆γ〗^(IDC-adipose). As a result, the differential ratio of ∆γ between IDC and nGBT 〖∆γ〗^(IDC-nGBT) is 0.36, and between IDC and adipose 〖∆γ〗^(IDC-adipose) is 0.27, which included in the α-dispersion at τ^peak1= 0.033 ± 0.001 s. In all specimens, the relaxation-time distribution function γ of IDC γ^IDC is higher, and there is no intersection with γ of nGBT γ^nGBT and adipose γ^adipose. The difference in γ suggests potential variations in relaxation properties at the molecular or structural level within each breast tissue that contribute to the overall relaxation response. The average mean percentage error δ for IDC, nGBT, and adipose tissues are 5.90%, 6.33%, and 8.07%, respectively, demonstrating the model's accuracy and reliability. This study provides novel insights into the use of relaxation-time characteristic for differentiating breast tissue types, offering potential advancements in diagnosis methods. Future research will focus on correlating EIS-GRTD finding with pathological results from the same test sites to further validate the method's efficacy.

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采用高斯弛豫时间分布的电阻抗能谱学（EIS-GRTD）检测浸润性导管癌

乳腺癌的检测和乳腺组织的区分对于准确诊断和治疗计划至关重要。本研究利用电阻抗光谱与高斯弛豫时间分布（EIS-GRTD）相结合，解决了区分浸润性导管癌（IDC）、正常腺体乳腺组织（nGBT）和脂肪组织的难题。主要目的是研究这些组织的弛豫时间特征及其区分正常和异常乳腺组织的潜力。我们对十个乳房切除标本进行了单点 EIS-GRTD 测量，频率范围为 f = 4 Hz 至 5 MHz。该方法计算了 IDC 和 nGBT 之间弛豫时间分布函数 ∆γ 的差值比，用〖∆γ〗^（IDC-nGBT）表示，以及 IDC 和脂肪组织之间的 ∆γ 的差值比，用〖∆γ〗^（IDC-adipose）表示。因此，IDC 与 nGBT 之间的〖Δγ〗^（IDC-nGBT）的差值比为 0.36，IDC 与脂肪组织之间的〖Δγ〗^（IDC-adipose）的差值比为 0.27，其中包括在 τ^peak1= 0.在所有标本中，IDC γ^IDC 的弛豫时间分布函数γ 都较高，与 nGBT γ^nGBT 和脂肪 γ^adipose 的γ 没有交集。γ的差异表明，每个乳腺组织在分子或结构水平上的弛豫特性可能存在差异，从而导致整体弛豫响应。IDC、nGBT 和脂肪组织的平均百分比误差δ分别为 5.90%、6.33% 和 8.07%，证明了模型的准确性和可靠性。这项研究为利用弛豫时间特征区分乳腺组织类型提供了新的见解，为诊断方法提供了潜在的进步。未来的研究将重点关注将 EIS-GRTD 发现与同一检测部位的病理结果进行关联，以进一步验证该方法的有效性。

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来源期刊

Biomedical Physics & Engineering Express RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

2.80

自引率

0.00%

发文量

153

期刊介绍： BPEX is an inclusive, international, multidisciplinary journal devoted to publishing new research on any application of physics and/or engineering in medicine and/or biology. Characterized by a broad geographical coverage and a fast-track peer-review process, relevant topics include all aspects of biophysics, medical physics and biomedical engineering. Papers that are almost entirely clinical or biological in their focus are not suitable. The journal has an emphasis on publishing interdisciplinary work and bringing research fields together, encompassing experimental, theoretical and computational work.