達(dá)特矛斯醫(yī)學(xué)院的研究人員結(jié)合二種技術(shù)，磁磁共振影像(MRI)及近紅外光,，構(gòu)想出一種新的且更準(zhǔn)確的方法以診斷乳癌。
新的技術(shù)利用MRI產(chǎn)生乳房的影像,，產(chǎn)生關(guān)于它的結(jié)構(gòu)之相關(guān)信息,，包括形狀和組成。近紅外光技術(shù)可以提供研究人員信息,，讓他們了解組織的功能,，例如，某個(gè)區(qū)域是否含有很多血液,，以及是否如同早期癌癥般,，迅速地消耗氧氣。
這項(xiàng)期中試驗(yàn)的受試者,，是一名左側(cè)乳房發(fā)生乳腺管癌的29 歲女性,，研究人員為她進(jìn)行對(duì)比式MRI，于注射顯影劑前后進(jìn)行局部MRI,。顯影劑增強(qiáng)的區(qū)域則作為近紅外光技術(shù)檢查的目標(biāo),。結(jié)果顯示該區(qū)域的血紅蛋白含量偏高，氧氣飽和度低且水含量高,，這是癌組織的表征,。
研究人員希望這種利用這種方法，在進(jìn)行切片檢查法前,，就了解哪個(gè)組織是惡性的,。他們的期中試驗(yàn)證實(shí)了這個(gè)概念的可行性，研究結(jié)果將發(fā)表于4月15 日的Optics Letters中,。
(資料來源 : Bio.com)
英文原文鏈接：
原始出處:
Image-guided optical spectroscopy provides molecular-specific information in vivo: MRI-guided spectroscopy of breast cancer hemoglobin, water, and scatterer size
Colin M. Carpenter, Brian W. Pogue, Shudong Jiang, Hamid Dehghani, Xin Wang, Keith D. Paulsen, Wendy A. Wells, Jorge Forero, Christine Kogel, John B. Weaver, Steven P. Poplack, and Peter A. Kaufman
Optics Letters, Vol. 32, Issue 8, pp. 933-935
Keywords (OCIS):
(170.0110) Medical optics and biotechnology : Imaging systems
(170.3880) Medical optics and biotechnology : Medical and biological imaging
Abstract
A multimodality instrument that integrated optical or near-infrared spectroscopy into a magnetic resonance imaging (MRI) breast coil was used to perform a pilot study of image-guided spectroscopy on cancerous breast tissue. These results are believed to be the first multiwavelength spectroscopic images of breast cancer using MRI-guided constraints, and they show the cancer tumor to have high hemoglobin and water values, decreased oxygen saturation, and increased subcellular granularity. The use of frequency-domain diffuse tomography methods at many wavelengths provides the spectroscopy required for recovering maps of absorbers and scattering spectra, but the integration with MRI allows these data to be recovered on an image field that preserves high resolution and fuses the two data sets together. Integration of molecular spectroscopy into standard clinical MRI can be achieved with this approach to spectral tomography.
