Near-infrared characterization of breast tumors in vivo using spectrally-constrained reconstruction
Near-infrared characterization of breast tumors in vivo using spectrally-constrained reconstruction
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DOI：
10.1177/153303460500400505
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发表时间：
2005-10-01
影响因子：
2.8
通讯作者：
Paulsen, KD
中科院分区：
文献类型：
--
作者：
Srinivasan, S;Pogue, BW;Paulsen, KD
本研究利用多波长近红外（NIR）断层扫描技术，采用直接光谱重建技术对乳腺肿瘤的生理参数进行无创量化。频域近红外光谱测量结合了一种新的光谱约束的直接发色团和散射图像重建算法，这是在模拟和实验幻影验证。总血红蛋白，氧饱和度，水和散射参数的图像获得了更高的准确性比以前报道。使用这种光谱方法，在体内近红外图像，并通过一系列的案例研究（n=6个科目）具有不同的异常解释。相应的乳房X线照片和超声图像也进行了评估。6例病例中有3例为恶性（浸润性导管癌），显示血红蛋白升高（增加34-86%）、氧饱和度降低、含水量增加以及相对于周围正常组织的散在变化。6例中有3例为良性，其中2例诊断为纤维囊性疾病，在水中显示出明显的对比度，与充满液体的囊肿一致。散射振幅是良性纤维化志愿者的主要对比度来源，其通常包含更致密的胶原组织。监测的变化对应于与癌症中预期的血管生成、缺氧和细胞增殖相关的生理变化。这些变化代表了潜在的诊断指标，可以评估这些指标以表征乳腺肿瘤。
Multi-wavelength Near-Infrared (NIR) Tomography was utilized in this study to non-invasively quantify physiological parameters of breast tumors using direct spectral reconstruction. Frequency domain NIR measurements were incorporated with a new spectrally constrained direct chromophore and scattering image reconstruction algorithm, which was validated in simulations and experimental phantoms. Images of total hemoglobin, oxygen saturation, water, and scatter parameters were obtained with higher accuracy than previously reported. Using this spectral approach, in vivo NIR images are presented and interpreted through a series of case studies (n=6 subjects) having differing abnormalities. The corresponding mammograms and ultrasound images are also evaluated. Three of six cases were malignant (infiltrating ductal carcinomas) and showed higher hemoglobin (34-86% increase), a reduction in oxygen saturation, an increase in water content as well as scatter changes relative to surrounding normal tissue. Three of six cases were benign, two of which were diagnosed with fibrocystic disease and showed a dominant contrast in water, consistent with fluid filled cysts. Scatter amplitude was the main source of contrast in the volunteer with the benign condition fibrosis, which typically contains denser collagen tissue. The changes monitored correspond to physiological changes associated with angiogenesis, hypoxia and cell proliferation anticipated in cancers. These changes represent potential diagnostic indicators, which can be assessed to characterize breast tumors.