Detection of human brain cancer infiltration ex vivo and in vivo using quantitative optical coherence tomography.

Detection of human brain cancer infiltration ex vivo and in vivo using quantitative optical coherence tomography.
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使用定量的光学相干断层扫描检测人脑癌的渗透和体内。

DOI:
10.1126/scitranslmed.3010611
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发表时间:
2015-06-17
影响因子:
17.1
通讯作者:
Li X
Li X
中科院分区:
医学1区
文献类型:
--
作者:
Kut C;Chaichana KL;Xi J;Raza SM;Ye X;McVeigh ER;Rodriguez FJ;Quiñones-Hinojosa A;Li X

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More complete brain cancer resection can prolong survival and delay recurrence. However, it is challenging to distinguish cancer from non-cancer tissues intraoperatively, especially at the transitional, infiltrative zones. This is especially critical in eloquent regions (e.g. speech and motor areas). This study tested the feasibility of label-free, quantitative optical coherence tomography (OCT) for differentiating cancer from non-cancer in human brain tissues. Fresh ex vivo human brain tissues were obtained from 32 patients with grades II-IV brain cancer and 5 patients with non-cancer brain pathologies. Based on volumetric OCT imaging data, pathologically confirmed brain cancer tissues (both high-grade and low-grade) had significantly lower optical attenuation values at both cancer core and infiltrated zones when compared with non-cancer white matter, and OCT achieved high sensitivity and specificity at an attenuation threshold of 5.5 mm-1 for brain cancer patients. We also used this attenuation threshold to confirm the intraoperative feasibility of performing in vivo OCT-guided surgery using a murine model harboring human brain cancer. Our OCT system was capable of processing and displaying a color-coded optical property map in real time at a rate of 110-215 frames per second, or 1.2-2.4 seconds for an 8-16 mm3 tissue volume, thus providing direct visual cues for cancer versus non-cancer areas. Our study demonstrates the translational and practical potential of OCT in differentiating cancer from non-cancer tissue. Its intraoperative use may facilitate safe and extensive resection of infiltrative brain cancers and consequently lead to improved outcomes when compared with current clinical standards.
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