DOI QR코드

DOI QR Code

A Multi-detection Fluorescence Dye with 5-ALA and ICG Using Modified Light Emitting Diodes

  • Yoon, Kicheol (Department of Biomedical Engineering, College of Medicine & Health Science, Gachon University) ;
  • Kim, Eunji (Department of Biomedical Engineering, College of Medicine & Health Science, Gachon University) ;
  • Kim, Kwanggi (Department of Biomedical Engineering, College of Medicine & Health Science, Gachon University) ;
  • Lee, Seunghoon (Department of Neurosurgery, Daejeon Eulji Medical Center (Eulji University Hospital)) ;
  • Yoo, Heon (Neuro-Oncology Clinic, Center for Specific Organs Center, National Cancer Center)
  • Received : 2018.09.18
  • Accepted : 2019.05.09
  • Published : 2019.06.25

Abstract

Extensive tumor resection accompanied by radiotherapy and chemotherapy is the standard of care for malignant gliomas. However, there is a significant obstacle to the complete resection of the tumor due to the difficulty of distinguishing tumor and normal brain tissue with a conventional surgical microscope. Recently, multiple studies have shown the possibility of fluorescence-guided surgery in malignant gliomas. The most used fluorescence dyes for brain tumor surgery are 5-aminolevulinic acid (5-ALA) and indocyanine green (ICG). In this paper, a new fluorescence guided operation system, which can detect both 5-ALA and ICG fluorescent images simultaneously, is presented. This operation system consists of light emitting diodes (LEDs) which emits 410 nm and 740 nm wavelengths. We have performed experiments on rats in order to verify the operation of the newly developed operation system. Oral administration and imaging were performed to observe the fluorescence of 5-ALA and ICG fluorescence in rats. When LEDs at wavelengths of 410 nm and 740 nm were irradiated on rats, 628 nm wavelength with a violet fluorescence color and 825 nm wavelength with a red fluorescence color were expressed in 5-ALA and ICG fluorescent material, respectively, thus we were able to distinguish the tumor tissues easily. Previously, due to the poor resolution of the conventional surgical microscope and the fact that the color of the vein is similar to that of the tumor, the tumor resection margin was not easy to observe, thus increasing the likelihood for cancer recurrence. However, when the tumor is observed through the fluorescence guided operation system, it is possible to easily distinguish the color with the naked eye and it can be completely removed. Therefore, it is expected that surgical removal of cancerous tumors will be possible and surgical applications and surgical microscopes for cancer tumor removal surgery will be promising in the future.

Keywords

KGHHD@_2019_v3n3_256_f0001.png 이미지

FIG. 1. Structure of the surgical fluorescence microscope (a) figuration (b) block diagram.

KGHHD@_2019_v3n3_256_f0002.png 이미지

FIG. 2. Structure of the LEDs module (a) measurement results (b) structure.

KGHHD@_2019_v3n3_256_f0003.png 이미지

FIG. 4. Measurement result for 5-ALA fluorescent image of nude mouse tumors (a) without fluorescent dye (b) fluorescein dye.

KGHHD@_2019_v3n3_256_f0004.png 이미지

FIG. 5. Analysis of fluorescent wavelength, (a) 5-ALA (protoporphyrin IX) (b) ICG.

KGHHD@_2019_v3n3_256_f0005.png 이미지

FIG. 3. Setting of animal experimentation.

KGHHD@_2019_v3n3_256_f0006.png 이미지

FIG. 6. Chemical structure of the indocynine green fluorescein emission.

KGHHD@_2019_v3n3_256_f0007.png 이미지

FIG. 7. Formation of PpIX fluorescein protein at 5-ALA on tumor.

KGHHD@_2019_v3n3_256_f0008.png 이미지

FIG. 8. Experimental results for ICG and 5-ALA fluorescein emission image with blood flow and tumor.

TABLE 1. Specifications of the LEDs

KGHHD@_2019_v3n3_256_t0002.png 이미지

TABLE 2. Specifications of the SBIG STF-8300C color CCD camera

KGHHD@_2019_v3n3_256_t0003.png 이미지

TABLE 3. Parameter of fluorescence microscope experiment

KGHHD@_2019_v3n3_256_t0004.png 이미지

References

  1. F. Lefranc, N. Sadeghi, I. Camby, T. Metens, O. Dewitte, and R. Kiss, "Present and potential future issues in glioblastoma treatment," Expert Rev. Anticancer Ther. 6, 719-732 (2006). https://doi.org/10.1586/14737140.6.5.719
  2. F. W. Boele, A. G. Rooney, R. Grant, and M. Klein, "Psychiatric symptoms in glioma patients: from diagnosis to management," Neuropsychiatr. Dis. Treat. 11, 1413-1420 (2015). https://doi.org/10.2147/NDT.S65874
  3. T. Walbert and K. Chasteen, "Palliative and supportive care for glioma patients," Cancer Treat. Res. 163, 71-84 (2015).
  4. W. Stummer, A. Novotny, H. Stepp, C. Goetz, K. Bise, and H. J. Reulen, "Fluorescence-guided resection of glioblastoma muliforme utilizing 5-ALA-induced porphyrins: a prospective study in consecutive patients," J. Neurosurg. 93, 1003-1013 (2000). https://doi.org/10.3171/jns.2000.93.6.1003
  5. C. T. Wen, Y. Y. Liu, H. Y. Fang, M. J. Hsieh, and Y. K. Chao, "Image-guided video-assisted thoracoscopic small lung tumor resection using near-infrared marking," Surg. Endosc. 32, 4673-4680 (2018). https://doi.org/10.1007/s00464-018-6252-7
  6. J. T. Alander, I. Kaartinen, A. Laakso, T. Patila, T. Spillmann, V. V. Tuchin, M. Venermo, and Petri Valisuo, "A Review of Indocyanine Green Fluorescent Imaging in Surgery," Int. J. Biomed. Imaging 2012, 1-26 (2012).
  7. H. E. Cline, C. L. Dumoulin, W. E. Lorensen, H. R. Hart, and S. Ludke, "3D reconstruction of the brain from magnetic resonance images using a connectivity algorithm", Magn. Reson. Imaging 5, 345-352 (1987). https://doi.org/10.1016/0730-725X(87)90124-X
  8. W. M. Wells, P. Viola, H. Atsumi, S. Nakajima, and R. Kikinis, "Multi-modal volume registration by maximization of mutual information," Med. Image Anal. 1, 35-51 (1996). https://doi.org/10.1016/S1361-8415(01)80004-9
  9. H. E. Cline, W. E. Lorensen, R. Kikinis, and F. A. Jolesz, "Three-dimensional segmentation of MR images of the head using probability and connectivity," J. Comput. Assist. Tomogr. 14, 1037-1045 (1990). https://doi.org/10.1097/00004728-199011000-00041
  10. C. Malkanthi and M. B. Dissanayake, "Brain tumor boundary segmentation of MR imaging using spatial domain image processing," Int. J. Innovation Educ. Res. 5, 1-9 (2017).
  11. N. Unno, M. Suzuki, N. Yamamoto, K. Inuzuka, D. Sagara, M. Nishiyama, H. Tanaka, and H. Konno, "Iundocyanine green fluorescence angiography for intraoperative assessment of blood flow: a feasibility study," Eur. J. Vasc. Endovasc. Surg. 35, 205-207 (2008). https://doi.org/10.1016/j.ejvs.2007.09.001
  12. T. Desmettre, J. M. Devoisselle, and S. Mordon, "Fluorescence properties and metabolic features of indocyanine green (ICG) as related to angiography," Surv. Ophthalmol. 45, 15-27 (2000). https://doi.org/10.1016/S0039-6257(00)00123-5
  13. R. B. Price, D. Labrie, F. A. Rueggeberg, and C. M. Felix, "Irradiance differences in the violet (405 nm) and blue (460 nm) spectral ranges among dental light-curing units," J. Esthet. Restor. Dent. 22, 363-377 (2010). https://doi.org/10.1111/j.1708-8240.2010.00368.x
  14. M. Atif, M. F. Alam, S. Firdous, S. S. Z. Zaidi, R. Suleman, and M. Ikram, "Study of the efficacy of 5-ALA mediated photodynamic therapy on human rhabdomyosarcoma cell line (RD)," Laser Phys. Lett. 7, 757-764 (2010). https://doi.org/10.1002/lapl.201010061
  15. IC-GreenTM, Indocyanine Green for Injection, USP Sterile NDA 11-525-S-017.
  16. B. L. Teng, M. Nakada, Y. Hayashi, T. Yoneyama, S. G. Zhao, and J. I. Hamada, Clinical management and evolving novel therapeutic strategies for patients with brain tumors, Intech Open Science & Open Minds, Chapter 12 (2013), pp. 249.