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IEEE Open J Eng Med Biol. 2021;2:179-186. doi: 10.1109/ojemb.2021.3075569. Epub 2021 Apr 27.
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Diagnostic values of shear wave elastography and strain elastography for breast lesions.剪切波弹性成像和应变成像技术对乳腺病变的诊断价值。
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Diagnostic Accuracy of Cross-Polarization OCT and OCT-Elastography for Differentiation of Breast Cancer Subtypes: Comparative Study.交叉极化光学相干断层扫描(Cross-Polarization OCT)和光学相干断层扫描弹性成像(OCT-Elastography)对乳腺癌亚型鉴别的诊断准确性:比较研究
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Elastography imaging: the 30 year perspective.弹性成像成像:30 年的视角。
Phys Med Biol. 2020 Dec 21;65(24). doi: 10.1088/1361-6560/abca00.
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Added value of strain elastography in the characterisation of breast lesions: A prospective study.应变弹性成像在乳腺病变特征描述中的附加价值:一项前瞻性研究。
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Strain and elasticity imaging in compression optical coherence elastography: The two-decade perspective and recent advances.压缩光学相干弹性成像中的应变和弹性成像:二十年的视角和最新进展。
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Histological validation of in vivo assessment of cancer tissue inhomogeneity and automated morphological segmentation enabled by Optical Coherence Elastography.光学相干弹性成像实现的体内癌症组织异质性评估和自动形态学分割的组织学验证。
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Breast-Conserving Surgery is Oncologically Safe for Well-Selected, Centrally Located Breast Cancer.对于精心挑选的、位于乳腺中央部位的乳腺癌患者,保乳手术在肿瘤学上是安全的。
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用于乳腺癌检测与鉴别诊断的压迫式光学相干弹性成像与应变超声弹性成像:初步研究

Compression optical coherence elastography versus strain ultrasound elastography for breast cancer detection and differentiation: pilot study.

作者信息

Gubarkova Ekaterina V, Sovetsky Aleksander A, Vorontsov Dmitry A, Buday Pavel A, Sirotkina Marina A, Plekhanov Anton A, Kuznetsov Sergey S, Matveyev Aleksander L, Matveev Lev A, Gamayunov Sergey V, Vorontsov Alexey Y, Zaitsev Vladimir Y, Gladkova Natalia D

机构信息

Privolzhsky Research Medical University, Nizhny Novgorod, Russia.

Institute of Applied Physics RAS, Nizhny Novgorod, Russia.

出版信息

Biomed Opt Express. 2022 Apr 21;13(5):2859-2881. doi: 10.1364/BOE.451059. eCollection 2022 May 1.

DOI:10.1364/BOE.451059
PMID:35774307
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9203088/
Abstract

The aims of this study are (i) to compare ultrasound strain elastography (US-SE) and compression optical coherence elastography (C-OCE) in characterization of elastically linear phantoms, (ii) to evaluate factors that can cause discrepancy between the results of the two elastographic techniques in application to real tissues, and (iii) to compare the results of US-SE and C-OCE in the differentiation of benign and malignant breast lesions. On 22 patients, we first used standard US-SE for assessment of breast cancer before and then after the lesion excision C-OCE was applied for intraoperative visualization of margins of the tumors and assessment of their type/grade using fresh lumpectomy specimens. For verification, the tumor grades and subtypes were determined histologically. We show that in comparison to US-SE, quantitative C-OCE has novel capabilities due to its ability to locally control stress applied to the tissue and obtain local stress-strain curves. For US-SE, we demonstrate examples of malignant tumors that were erroneously classified as benign and vice versa. For C-OCE, all lesions are correctly classified in agreement with the histology. The revealed discrepancies between the strain ratio given by US-SE and ratio of tangent Young's moduli obtained for the same samples by C-OCE are explained. Overall, C-OCE enables significantly improved specificity in breast lesion differentiation and ability to precisely visualize margins of malignant tumors compared. Such results confirm high potential of C-OCE as a high-speed and accurate method for intraoperative assessment of breast tumors and detection of their margins.

摘要

本研究的目的包括

(i)比较超声应变弹性成像(US-SE)和压缩光学相干弹性成像(C-OCE)对弹性线性体模的特征描述;(ii)评估在应用于真实组织时可能导致这两种弹性成像技术结果出现差异的因素;(iii)比较US-SE和C-OCE在鉴别乳腺良恶性病变方面的结果。对22例患者,我们首先在病变切除前后使用标准US-SE评估乳腺癌,然后应用C-OCE在术中使用新鲜的肿块切除标本对肿瘤边缘进行可视化并评估其类型/分级。为进行验证,通过组织学确定肿瘤分级和亚型。我们发现,与US-SE相比,定量C-OCE具有新的能力,因为它能够局部控制施加于组织的应力并获得局部应力-应变曲线。对于US-SE,我们展示了恶性肿瘤被错误分类为良性以及良性肿瘤被错误分类为恶性的例子。对于C-OCE,所有病变均根据组织学正确分类。解释了US-SE给出的应变比与C-OCE对相同样本获得的切线杨氏模量比之间存在的差异。总体而言,与US-SE相比,C-OCE在乳腺病变鉴别中具有显著提高的特异性,并且能够精确可视化恶性肿瘤的边缘。这些结果证实了C-OCE作为一种用于术中评估乳腺肿瘤及其边缘检测的高速、准确方法的巨大潜力。