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用于乳腺肿瘤边缘评估的三维动态光学相干断层扫描技术

Three-dimensional dynamic optical coherence tomography for breast tumor margin assessment.

作者信息

Bellesini Joel A, Foo Ken Y, Li Jiayue, Sanderson Rowan W, Zilkens Renate, Gale Laura, Hardie Mireille, Hamza Saud, Rijhumal Anmol, Saunders Christobel M, Kennedy Brendan F

机构信息

BRITElab, Harry Perkins Institute of Medical Research, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, WA 6009, Australia.

School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA 6009, Australia.

出版信息

Biomed Opt Express. 2025 Jul 7;16(8):3061-3074. doi: 10.1364/BOE.563044. eCollection 2025 Aug 1.

DOI:10.1364/BOE.563044
PMID:40809963
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12339312/
Abstract

Intraoperative margin assessment techniques are needed to reduce the re-excision rate in breast-conserving surgery. Optical coherence tomography (OCT) is a non-invasive imaging technique capable of rapid three-dimensional (3-D) imaging of the internal microstructure of tissues. However, there is often low contrast between morphological features in breast tissue. Dynamic OCT (d-OCT), which provides additional contrast derived from the temporal variance of the OCT signal caused by intrinsic motion within the tissue, may provide a solution. However, few studies have applied it to breast tumor margin assessment. In this study, we acquired 3-D d-OCT images of ten human mastectomy specimens and three wide local excisions from breast-conserving surgery (BCS) procedures and, in each case, performed co-registered histology for validation. To optimize the trade-off between spatial resolution, temporal resolution, and acquisition time, we considered a range of acquisition settings. Several methods for visualizing d-OCT images were investigated, including Fourier weighted mean frequency, Fourier power spectral analysis, using red-green-blue (RGB) and hue-saturation-value (HSV) color spaces, and phase variance. We present d-OCT images of invasive ductal carcinoma (IDC), ductal carcinoma (DCIS), invasive lobular carcinoma (ILC), and lobular carcinoma (LCIS), and show that the contrast between malignant and benign regions is consistently higher with d-OCT than using OCT intensity alone. The improved contrast may derive from increased proliferation rates and collagen deposition in cancerous tissue compared to benign tissue. We believe that our results demonstrate that d-OCT has the potential to improve intraoperative tumor margin assessment during breast-conserving surgery.

摘要

在保乳手术中,需要术中切缘评估技术来降低再次切除率。光学相干断层扫描(OCT)是一种非侵入性成像技术,能够对组织内部微观结构进行快速三维(3-D)成像。然而,乳腺组织的形态特征之间通常对比度较低。动态OCT(d-OCT)可提供由组织内固有运动引起的OCT信号时间变化所产生的额外对比度,可能提供一种解决方案。然而,很少有研究将其应用于乳腺肿瘤切缘评估。在本研究中,我们获取了10例人类乳房切除标本和3例保乳手术(BCS)中的广泛局部切除标本的三维d-OCT图像,并在每种情况下进行了共同配准的组织学检查以进行验证。为了优化空间分辨率、时间分辨率和采集时间之间的权衡,我们考虑了一系列采集设置。研究了几种可视化d-OCT图像的方法,包括傅里叶加权平均频率、傅里叶功率谱分析、使用红-绿-蓝(RGB)和色调-饱和度-值(HSV)颜色空间以及相位方差。我们展示了浸润性导管癌(IDC)、导管原位癌(DCIS)、浸润性小叶癌(ILC)和小叶原位癌(LCIS)的d-OCT图像,并表明与仅使用OCT强度相比,d-OCT在恶性和良性区域之间的对比度始终更高。与良性组织相比,癌组织中增殖率增加和胶原蛋白沉积可能导致对比度提高。我们相信我们的结果表明d-OCT有潜力改善保乳手术中的术中肿瘤切缘评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc13/12339312/87c33e4b172a/boe-16-8-3061-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc13/12339312/d722b46852d5/boe-16-8-3061-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc13/12339312/5849b9be5698/boe-16-8-3061-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc13/12339312/2256d4d84786/boe-16-8-3061-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc13/12339312/1f27e41d239a/boe-16-8-3061-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc13/12339312/82bf7ca7dada/boe-16-8-3061-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc13/12339312/87c33e4b172a/boe-16-8-3061-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc13/12339312/d722b46852d5/boe-16-8-3061-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc13/12339312/5849b9be5698/boe-16-8-3061-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc13/12339312/2256d4d84786/boe-16-8-3061-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc13/12339312/1f27e41d239a/boe-16-8-3061-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc13/12339312/82bf7ca7dada/boe-16-8-3061-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc13/12339312/87c33e4b172a/boe-16-8-3061-g006.jpg

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