Supplementary Materials

Supplementary Material for:

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

Carmen Kut, Kaisorn L. Chaichana, Jiefeng Xi, Shaan M. Raza, Xiaobu Ye, Elliot R. McVeigh, Fausto J. Rodriguez, Alfredo Qui?ones-Hinojosa,* Xingde Li*

*Corresponding author. E-mail: aquinon2{at} (A.Q.-H.); xingde{at} (X.L.)

Published 17 June 2015, Sci. Transl. Med. 7, 292ra100 (2015)
DOI: 10.1126/scitranslmed.3010611

This PDF file includes:

  • Methods
  • Fig. S1. SS-OCT system.
  • Fig. S2. Improved OCT FOV with robotic positioning.
  • Fig. S3. Optical attenuation data set for grade III glioma.
  • Fig. S4. Human cell lines U87 and GBM272 demonstrate the range of cancer behavior in mice.
  • Fig. S5. Automated peak detection algorithm to separate diluted blood from brain tissue signals.
  • Table S1. Comparison of different technologies in surgical guidance of brain cancer detection.
  • Table S2. Patient characteristics.
  • Table S3. Sensitivity/specificity analyses for brain cancer patients in the validation data set.
  • Table S4. Optical attenuation differences between cancer and noncancer gray matter for patients in the combined training and validation data sets.
  • Legends for movies S1 to S4

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Other Supplementary Material for this manuscript includes the following:

  • Movie S1 (.mp4 format). Real-time OCT imaging and color-coded attenuation display of brain cancer.
  • Movie S2 (.mp4 format). OCT imaging of brain cancer in human tissues ex vivo.
  • Movie S3 (.mp4 format). Green aiming beam for OCT imaging in vivo in a mouse with patient-derived high-grade brain cancer cells (GBM272).
  • Movie S4 (.mp4 format). In vivo brain cancer imaging before surgical resection in a mouse with patient-derived high-grade brain cancer cells (GBM272).

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[Download Movie S4]