Literature DB >> 16736504

Time-domain and spectral-domain optical coherence tomography in the analysis of brain tumor tissue.

H J Böhringer1, D Boller, J Leppert, U Knopp, E Lankenau, E Reusche, G Hüttmann, A Giese.   

Abstract

INTRODUCTION: Detection of residual tumor during resection of glial brain tumors remains a challenge because of a low inherent contrast of adjacent edematous brain, the surrounding infiltration zone, and the solid tumor. Therefore, new technologies that may facilitate an intraoperative analysis of the tissue at the resection edge are of great interest to neurosurgeons.
MATERIALS AND METHODS: For ex vivo imaging of gliomas in a mouse model and human biopsy specimens of brain tumors and nervous system tissue we have used a time-domain Sirius 713 Tomograph with a central wavelength of 1,310 nm and a coherence length of 15 microm equipped with a mono mode fiber and a modified optical coherence tomography (OCT) adapter containing a lens system for imaging at a working distance of 2.5 cm. A spectral-domain tomograph using 840 nm and 930 nm superluminescence diodes (SLD) with a central wavelength of 900 nm was used as a second imaging modelity.
RESULTS: Both time-domain and spectral-domain coherence tomography delineated normal brain, the infiltration zone and solid tumor in murine intracerebral gliomas. Histological evaluation of H&E sections parallel to the optical plain demonstrated that tumor areas of less than a millimeter could be detected and that not only solid tumor, but also brain invaded by a low-density single tumor cells produced an OCT signal different from normal brain. Spectral-domain OCT (SD-OCT) demonstrated a significantly more detailed microstructure of tumor and normal brain up to a tissue depth of 1.5-2.0 mm, whereas the interpretation of time-domain OCT (TD-OCT) was difficult at a tissue depth >1.0 mm. Because of rapid scanning times SD-OCT data could be acquired as 3D data maps, which allowed a multi-planar analysis of the tumor to brain interface. Similar to our findings in experimental gliomas, images of human nervous system tissue acquired using SD-OCT showed a characteristic signal of normal brain tissue and a detailed microstructure of tumor parenchyma.
CONCLUSION: Spectral-domain OCT of experimental gliomas and human brain tumor specimens differentiates solid tumor, diffusely invaded brain tissue, and adjacent normal brain based on microstructure and B-scan signal characteristics. In conjunction with the rapid image acquisition rates of SD-OCT, this technology carries the potential of a novel intraoperative imaging tool for the detection of residual tumor and guidance of neurosurgical tumor resections. (c) 2006 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2006        PMID: 16736504     DOI: 10.1002/lsm.20353

Source DB:  PubMed          Journal:  Lasers Surg Med        ISSN: 0196-8092            Impact factor:   4.025


  33 in total

Review 1.  [Optical coherence tomography in middle ear surgery].

Authors:  T Just; E Lankenau; G Hüttmann; H W Pau
Journal:  HNO       Date:  2009-05       Impact factor: 1.284

2.  Measuring the optical characteristics of medulloblastoma with optical coherence tomography.

Authors:  Barry Vuong; Patryk Skowron; Tim-Rasmus Kiehl; Matthew Kyan; Livia Garzia; Cuiru Sun; Michael D Taylor; Victor X D Yang
Journal:  Biomed Opt Express       Date:  2015-03-25       Impact factor: 3.732

3.  Quantitative analysis of optical coherence tomography and histopathology images of normal and dysplastic oral mucosal tissues.

Authors:  Oluyori Kutulola Adegun; Pete H Tomlins; Eleni Hagi-Pavli; Gordon McKenzie; Kim Piper; Dan L Bader; Farida Fortune
Journal:  Lasers Med Sci       Date:  2011-08-18       Impact factor: 3.161

4.  Visualizing and mapping the cerebellum with serial optical coherence scanner.

Authors:  Chao J Liu; Kristen E Williams; Harry T Orr; Taner Akkin
Journal:  Neurophotonics       Date:  2016-09-30       Impact factor: 3.593

5.  Longitudinal in vivo monitoring of rodent glioma models through thinned skull using laser speckle contrast imaging.

Authors:  Abhishek Rege; Alan C Seifert; Dan Schlattman; Yu Ouyang; Khan W Li; Luca Basaldella; Henry Brem; Betty M Tyler; Nitish V Thakor
Journal:  J Biomed Opt       Date:  2012-12       Impact factor: 3.170

Review 6.  Optical technologies for intraoperative neurosurgical guidance.

Authors:  Pablo A Valdés; David W Roberts; Fa-Ke Lu; Alexandra Golby
Journal:  Neurosurg Focus       Date:  2016-03       Impact factor: 4.047

Review 7.  Review of optical coherence tomography in oncology.

Authors:  Jianfeng Wang; Yang Xu; Stephen A Boppart
Journal:  J Biomed Opt       Date:  2017-12       Impact factor: 3.170

8.  Capability of physically reasonable OCT-based differentiation between intact brain tissues, human brain gliomas of different WHO grades, and glioma model 101.8 from rats.

Authors:  I N Dolganova; P V Aleksandrova; P V Nikitin; A I Alekseeva; N V Chernomyrdin; G R Musina; S T Beshplav; I V Reshetov; A A Potapov; V N Kurlov; V V Tuchin; K I Zaytsev
Journal:  Biomed Opt Express       Date:  2020-10-28       Impact factor: 3.732

9.  Raman spectroscopy detects distant invasive brain cancer cells centimeters beyond MRI capability in humans.

Authors:  Michael Jermyn; Joannie Desroches; Jeanne Mercier; Karl St-Arnaud; Marie-Christine Guiot; Frederic Leblond; Kevin Petrecca
Journal:  Biomed Opt Express       Date:  2016-11-16       Impact factor: 3.732

Review 10.  Intraoperative imaging techniques for glioma surgery.

Authors:  Tomas Garzon-Muvdi; Carmen Kut; Xingde Li; Kaisorn L Chaichana
Journal:  Future Oncol       Date:  2017-08-10       Impact factor: 3.404

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