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AbstractIn this study, time domain diffuse optical spectroscopy is performed in the range 600–1100 nm on 11 healthy volunteers with a portable system for the quantitative characterization of breast tissue in terms of optical properties and optically-derived blood parameters, tissue constituent concentrations, and scattering parameters.
摘要在这项研究中,使用便携式系统在11名健康志愿者的600-1100 nm范围内进行时域漫反射光谱分析,以定量表征乳腺组织的光学特性和光学衍生的血液参数,组织成分浓度和散射参数。
A measurement protocol involving different geometries (reflectance and transmittance), subject’s positions (sitting and lying down), probing locations (outer, lower, and inner breast quadrants), and source-detector distances (2 and 3 cm) allowed us to investigate the effect of tissue heterogeneity and different measurement configurations on the results with the aim of identifying the best experimental conditions for the estimate of breast density (i.e., amount of fibro-glandular tissue in the breast) as a strong independent risk factor for breast cancer.
涉及不同几何形状(反射率和透射率),受试者位置(坐着和躺着),探测位置(乳房外象限,下象限和内象限)以及源探测器距离(2和3 cm)的测量协议使我们能够研究组织异质性和不同测量配置对结果的影响,目的是确定估计乳腺密度(即乳房中纤维腺体组织的数量)的最佳实验条件,作为乳腺癌的强烈独立危险因素。
Transmittance results, that in previous studies correlated strongly with mammographic density, are used as a reference for the initial test of the simpler and more comfortable reflectance measurement configuration. The higher source-detector distance, which probes deeper tissue, retrieves optical outcomes in agreement with higher average density tissue.
在先前的研究中,透射率结果与乳房X线照相密度密切相关,可作为更简单,更舒适的反射率测量配置初始测试的参考。探测更深组织的更高源-检测器距离可以获得与更高平均密度组织一致的光学结果。
Similarly, results on the outer quadrants indicate higher density than internal quadrants. These findings are coherent with breast anatomy since the concentration of dense fibro-glandular stroma is higher in deep tissue and towards the external portion of the breast, where the mammary gland is located.
同样,外部象限的结果表明密度高于内部象限。这些发现与乳房解剖结构相一致,因为致密的纤维腺体基质在深部组织中的浓度较高,并且朝向乳腺所在的乳房外部。
The dataset generated with this laboratory campaign is used to device an optimal measurement protocol for a future clinical trial, where optical results will be correlated with conventional mammographic density, allowing us to identify a sub.
通过这项实验室活动生成的数据集用于为未来的临床试验设计最佳的测量方案,其中光学结果将与常规乳房X线照相密度相关,从而使我们能够识别sub。
IntroductionBreast cancer is the neoplasia with the highest incidence and mortality among women and represents a significant strain for healthcare systems worldwide1. Early diagnosis increases therapeutical options and survival rates up to 99%1.Except for gender and age, breast density is the most relevant risk factor involved in the development of breast cancer2.
引言乳腺癌是女性发病率和死亡率最高的肿瘤,是全球医疗保健系统的重要压力1。早期诊断可增加治疗选择,生存率高达99%1。除性别和年龄外,乳腺密度是乳腺癌发展中最相关的危险因素2。
It is defined as the relative proportion between radio-opaque fibro-glandular tissue and transparent adipose tissue3. Nowadays breast density is estimated from the analysis of X-ray mammograms, which typically results in the assignment of the patient to one of the four BI-RADS categories4 (Breast Imaging Reporting and Data System), from category A, corresponding to the lowest density, to category D, corresponding to the highest density.
它被定义为不透射线的纤维腺组织和透明脂肪组织之间的相对比例3。。
Mammograms are most often acquired in the context of screening programs aimed at women not younger than 40 or 50 years old5, due to the ionizing nature of X-ray radiation and the lower sensitivity of mammography in the dense breast, more common in young women6. However, information on breast density could be useful earlier in life.
由于X射线辐射的电离性质以及乳腺X线照相术在致密乳房中的敏感性较低(在年轻女性中更常见),乳腺X线照片通常是在针对40岁或50岁以下女性的筛查计划中获得的。然而,有关乳房密度的信息可能在生命早期有用。
It would allow one to implement at a younger age targeted monitoring of subjects with higher risk of cancer, develop personalized prevention paths and possibly lead to early cancer detection. From this picture, the pressing need for a non-invasive and effective way to assess breast density emerges, especially in young woman.Diffuse optics (DO) investigates the absorption and scattering properties of tissue, which depend, respectively, on the chemical composition and on the size and density of scattering centers, that randomize the propagation direction of photons.
它将允许人们在年轻时对癌症风险较高的受试者进行有针对性的监测,开发个性化的预防途径,并可能导致早期癌症检测。从这张照片来看,迫切需要一种非侵入性和有效的方法来评估乳房密度,特别是在年轻女性中。漫反射光学(DO)研究组织的吸收和散射特性,这分别取决于化学成分以及散射中心的大小和密度,散射中心随机化光子的传播方向。
This information can be used to distinguish fibro-glandular stroma from adipose tissue,.
该信息可用于区分纤维腺基质和脂肪组织,。
1.
1.
The optimization and validation of the portable TD-DOS system for in vivo measurements of breast density, in view of its future clinical implementation.
鉴于其未来的临床实施,对用于体内测量乳房密度的便携式TD-DOS系统进行了优化和验证。
2.
2.
The identification of a subject’s and physician’s friendly measurement configuration in reflectance geometry (or more than one configuration) to be subsequently implemented in the clinical study.
。
3.
3.
The generation of an open dataset of in vivo data on the breast tissue, including broadband optical properties (absorption and reduced scattering coefficients), tissue composition (water, lipids, and collagen), blood parameters (total hemoglobin concentration and oxygen saturation), and scattering parameters (scattering amplitude and power providing) to investigate inter-subject and intra-subject variability..
生成乳房组织体内数据的开放数据集,包括宽带光学特性(吸收和减少的散射系数),组织组成(水,脂质和胶原蛋白),血液参数(总血红蛋白浓度和氧饱和度)和散射参数(散射幅度和功率提供),以调查受试者之间和受试者内部的变异性。。
The cohort of subjects involved in the study is relatively young (see Table 1 for demographics) and most of them are not of age for screening. For this reason, mammograms are not available for direct comparison of optical parameters with BIRADS categories. Transmittance acquisitions, that in previous were strongly correlated with mammographic breast density43,46,47,48, are used to validate the reflectance measurements in this preliminary study.
参与该研究的受试者队列相对年轻(人口统计学见表1),其中大多数未达到筛查年龄。因此,乳房X线照片无法直接比较光学参数与BIRADS类别。在这项初步研究中,透射率采集与乳腺X线摄影的乳房密度43,46,47,48密切相关,用于验证反射率测量结果。
In an upcoming clinical trial, recent mammograms will be available for the enrolled subjects, allowing us to correlate directly optical results from point-like, reflectance measurements with BI-RADS categories. The intent will then be to investigate the broadband optical properties of breast tissue and determine how much of this information is essential for a good estimate of breast composition and density, in order to identify a minimal set of wavelengths (and measurement points) that is sufficient for a good correlation with traditional mammography.
在即将进行的临床试验中,将为登记的受试者提供最新的乳房X线照片,使我们能够将点状反射率测量的光学结果与BI-RADS类别直接关联。然后,目的是研究乳房组织的宽带光学特性,并确定这些信息中有多少对于良好估计乳房组成和密度至关重要,以便确定一组最小的波长(和测量点),足以与传统乳房X线照相术形成良好的相关性。
The collection of this extensive set of measurements has involved a rather long measurement time of about 45 min (see “Measurement protocol” section). The study was approval by the Ethical Review Board of our Institution to be performed in our laboratory environment, where the length of the measurements is not a major issue.
收集这组广泛的测量涉及大约45分钟的相当长的测量时间(请参阅“测量协议”部分)。这项研究得到了我们机构伦理审查委员会的批准,将在我们的实验室环境中进行,在那里测量的长度不是一个主要问题。
On the other hand, it was not feasible to enroll a broad number of subjects, all with recent X-ray mammograms available. The latter would only be feasible in clinical settings, but in that case a long measurement time would not be acceptable as it would not fit in the screening/diagnostic workflow. This has motivated our choice to separate the work in the initial small laboratory study followed by the broader clinical study.Table 1 Age, BMI, and breast thickness.
另一方面,招募大量受试者是不可行的,所有受试者都有最近的X射线乳房X线照片。后者仅在临床环境中可行,但在这种情况下,长时间的测量时间是不可接受的,因为它不适合筛查/诊断工作流程。这促使我们选择在最初的小型实验室研究中分离工作,然后进行更广泛的临床研究。表1年龄,BMI和乳房厚度。
(1)
(1)
where \({\lambda }_{0}\) = 600 nm is a reference wavelength and \(a\) and \(b\) are called, respectively, scattering amplitude and power and are associated, respectively, to the density and size of scattering centers.Statistical analysisThe linear correlations among tissue components and scattering parameters are investigated through the Pearson linear correlation coefficient r.
其中({λ}u0})=600 nm是参考波长,\(a)和\(b)分别称为散射振幅和功率,并分别与散射中心的密度和大小相关。统计分析通过Pearson线性相关系数r研究组织成分和散射参数之间的线性相关性。
The same test was used to analyze the correlation between results from different measurement configurations (e.g., outer quadrants vs inner quadrant, or ρ = 2 cm vs ρ = 3 cm), while the significance of their difference is assessed using the Wilcoxon matched-pairs signed-rank test. Bonferroni correction is applied to adjust p-values for multiple testing53.
使用相同的测试来分析不同测量配置(例如,外象限与内象限,或ρ==2 cm与ρ==3 cm)的结果之间的相关性,同时使用Wilcoxon匹配对符号秩检验评估其差异的显着性。应用Bonferroni校正来调整多重测试的p值53。
This correction might be excessively strict since a relatively small sample size is involved and the tests we consider are expected to be not completely independent. Therefore, when statistical significance is lost due to Bonferroni multiplicity adjustment, the p-value before adjustment is also reported.
。因此,当由于Bonferroni多重性调整而失去统计显着性时,还报告了调整前的p值。
Tests are applied with a level of significance α = 0.05 and results are considered statistically significant when p < 0.05.Results and discussionOptical propertiesTo provide a general overview of the inter-subject variability of the optical properties of the breast in reflectance geometry, Fig. 3 shows the absorption and reduced scattering spectra of the 11 subjects, averaged over left and right breasts and the three different measurement locations on the breast (outer, lower and inner quadrants) in the supine-subject configuration, at inter-fiber distance \(\uprho =\) 3 cm.Figure 3Absorption (a) and reduced scattering (b) spectra of the 11 subjects (averaged over left and right breasts, and all measurement locations on the brea.
测试的显着性水平为α=0.05,当p<0.05时,结果被认为具有统计学意义。结果和讨论光学特性为了提供反射几何中乳房光学特性的受试者间变异性的一般概述,图3显示了11个受试者的吸收和减少的散射光谱,在仰卧受试者配置中,在纤维间距离为3厘米时,在左右乳房和乳房上的三个不同测量位置(外部,下部和内部象限)上平均。图3 11名受试者的吸收(a)和减少散射(b)光谱(左右乳房的平均值,以及brea上的所有测量位置)。
Data availability
数据可用性
The dataset gathered, analyzed, and discussed in this study is available in the Zenodo repository, https://doi.org/https://doi.org/10.5281/zenodo.10955509. For any additional information please contact the corresponding author.
本研究中收集、分析和讨论的数据集可在Zenodo存储库中找到,https://doi.org/https://doi.org/10.5281/zenodo.10955509.如需更多信息,请联系通讯作者。
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Download referencesAcknowledgementsThe authors acknowledge funding from the European Union’s Horizon 2020 research and innovation programme as part of the PHAST-ETN project under the Marie Sklodowska-Curie grant agreement No. 860185 and from the European Union’s NextGeneration EU programme “Integrated infrastructure initiative in Photonic and Quantum Sciences”—I-PHOQS (IR0000016, ID D2B8D520, CUP B53C22001750006).Author informationAuthors and AffiliationsDipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, ItalyNicola Serra, Rinaldo Cubeddu, Giulia Maffeis, Vamshi Damagatla, Antonio Pifferi & Paola TaroniIstituto di Fotonica e Nanotecnologie, Consiglio Nazionale delle Ricerche, Piazza Leonardo da Vinci 32, 20133, Milan, ItalyAntonio Pifferi & Paola TaroniAuthorsNicola SerraView author publicationsYou can also search for this author in.
下载参考文献致谢作者感谢欧盟地平线2020研究与创新计划(作为Marie Sklodowska-Curie第860185号赠款协议下PHAST-ETN项目的一部分)以及欧盟下一代欧盟计划“光子和量子科学综合基础设施倡议”-I-PHOQS(IR0000016,ID D2B8D520,CUP B53C22001750006)的资助。作者信息作者和附属机构Dipartmento di Fisica,Politecnico di Milano,Piazza Leonardo da Vinci 3220133,米兰,ItalyNicola Serra,Rinaldo Cubeddu,Giulia Maffeis,Vamshi Damagatla,Antonio Pifferi&Paola Taronistituto di Fotonica e Nanotecnologie,Consiglio Nazionale delle Ricerche,Piazza Leonarda Vinci 3220133,Milan,Italyantononio Pifferi&Paola TaroniAuthorsNicola SerraView作者出版物您也可以在中搜索这位作者。(笑声)。
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PubMed Google ScholarContributionsR.C., A.P. and P.T conceived and designed the study, N.S. and V.D. optimized and characterized the setup, G.M. recruited the volunteers, N.S., G.M. and R.C. conducted the experiments, N.S. analyzed the data, all authors contributed to the interpretation of the results, P.T.
PubMed谷歌学术贡献。C、 ,A.P.和P.T构思并设计了这项研究,N.S.和V.D.优化并表征了设置,G.M.招募了志愿者,N.S.,G.M.和R.C.进行了实验,N.S.分析了数据,所有作者都为结果的解释做出了贡献,P.T。
outlined the manuscript, N.S. wrote the final form of the manuscript. All authors reviewed the manuscript.Corresponding authorCorrespondence to.
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Reprints and permissionsAbout this articleCite this articleSerra, N., Cubeddu, R., Maffeis, G. et al. In vivo optimization of the experimental conditions for the non-invasive optical assessment of breast density.
转载和许可本文引用了这篇文章Serra,N.,Cubeddu,R.,Maffeis,G。等人。乳腺密度无创光学评估实验条件的体内优化。
Sci Rep 14, 19154 (2024). https://doi.org/10.1038/s41598-024-70099-xDownload citationReceived: 24 April 2024Accepted: 13 August 2024Published: 19 August 2024DOI: https://doi.org/10.1038/s41598-024-70099-xShare this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard.
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