Optically measured microvascular blood flow contrast of malignant breast tumors.

Optically measured microvascular blood flow contrast of malignant breast tumors.
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DOI:
10.1371/journal.pone.0099683
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Yodh AG
Yodh AG
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Choe R;Putt ME;Carlile PM;Durduran T;Giammarco JM;Busch DR;Jung KW;Czerniecki BJ;Tchou J;Feldman MD;Mies C;Rosen MA;Schnall MD;DeMichele A;Yodh AG

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微血管血流对比度是一个重要的血液动力学和代谢参数,有可能提高体内乳腺癌检测和治疗监测。在这里,我们报告的非侵入性线扫描测量恶性乳腺肿瘤的手持光学探头在缓解几何。该探头采用扩散相关光谱(DCS),这是一种近红外光学方法,可量化深部组织微血管血流。肿瘤与正常灌注比来自32名人类受试者。使用周围正常组织的平均(95%置信区间)肿瘤与正常比值为2.25(1.92-2.63);使用对侧乳腺相应肿瘤位置的正常组织的肿瘤与正常比值为2.27(1.94-2.66),使用对侧乳腺正常组织的肿瘤与正常比值为2.27(1.90-2.70)。因此,无论选择何种正常组织,肿瘤与正常组织的平均比值均显著不同于1,这意味着肿瘤的血流量显著高于正常组织。因此,本研究证明DCS测量的血流中存在乳腺癌造影剂。这种新的光学可达的癌症造影剂具有癌症检测和治疗监测应用的潜力,当与扩散光学光谱/断层扫描相结合时,它可能特别有用。
Microvascular blood flow contrast is an important hemodynamic and metabolic parameter with potential to enhance in vivo breast cancer detection and therapy monitoring. Here we report on non-invasive line-scan measurements of malignant breast tumors with a hand-held optical probe in the remission geometry. The probe employs diffuse correlation spectroscopy (DCS), a near-infrared optical method that quantifies deep tissue microvascular blood flow. Tumor-to-normal perfusion ratios are derived from thirty-two human subjects. Mean (95% confidence interval) tumor-to-normal ratio using surrounding normal tissue was 2.25 (1.92–2.63); tumor-to-normal ratio using normal tissues at the corresponding tumor location in the contralateral breast was 2.27 (1.94–2.66), and using normal tissue in the contralateral breast was 2.27 (1.90–2.70). Thus, the mean tumor-to-normal ratios were significantly different from unity irrespective of the normal tissue chosen, implying that tumors have significantly higher blood flow than normal tissues. Therefore, the study demonstrates existence of breast cancer contrast in blood flow measured by DCS. The new, optically accessible cancer contrast holds potential for cancer detection and therapy monitoring applications, and it is likely to be especially useful when combined with diffuse optical spectroscopy/tomography.
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