Vibrational Spectroscopy and Cancer - Vibrational Spectroscopy for Tissue Analysis - page 79

Table 4.8
Articles on Brain Tissue

Research
Method

Investigated
Tissue or Sample

Effectiveness of
the Technique

Reference
Number Research Group

Choo et al. FTIR CNS + 115

Dovbeshko et al. FTIR Brain + 116

Lehnhardt et al. MR spectroscopy Brain + 117

Howe and Opstad MR spectroscopy Brain + 118

Yoshida et al. FTIR Rat brain + 119

Lakshmi et al. Raman Mice brain + 120

Krafft et al. Raman Brain + 121

a means of classifying the spectroscopic data nonsubjectively using several
multivariate methods. The results demonstrated that IR spectroscopy can
potentially be used in the diagnosis of AD from autopsy tissue. It was shown
that correct classification of white and grey matter from brains identified
by standard pathological methods as heavily, moderately, and minimally
involved can be achieved with success rates of greater than 90% using appro-
priate methods. Classification of tissue as either control or AD was achieved
with a success rate of 100% [115].
FTIR spectra of RNA isolated from tumour brain (glioma) and DNA iso-
lated from low-dose gamma-irradiated epididymis cells of rats from the
Chernobyl accident zone were investigated by G. I. Dovbeshko et al. Their
aim was to study the nucleic acid damage and reported the existence of dam-
age in the primary, secondary, and tertiary structure of nucleic acid, which
seem to be connected with modification of bases and sugars, and redistribu-
tion of the H-bond network. They also mentioned that a great amount of
statistical data and good mathematical approaches are needed for the use of
these data as diagnostic criteria [116].
F. G. Lehnhardt et al. carried out a study on 1 H- and 31 P-MR spectroscopy
of primary and recurrent human brain tumours in vitro. They worked on
malignancy-characteristic profiles of water-soluble lipophilic spectral com-
ponents. Tissue samples of primary tumours and their first recurrences were
examined. The spectra were recorded from the samples of meningioma,
astrocytoma, and glioblastoma. The findings indicated that the collected
data and information enables differentiation not only among tumour types
but also between primary and recurrent glioblastoma, reflecting an evolving
t umour metabolism [117].
In a spectroscopic study, F. A. Howe et al. investigated brain tumours using
1 H MR spectroscopy [118].
S. Yoshida et al. measured the Fourier transform infrared spectra of brain
microsomal membranes prepared from rats fed under two dietary oil con-
ditions with and without brightness-discrimination learning tasks: one
group was fed α-linolenate-deficient oil (safflower oil) and the other group