Article
Efficiency of positron-emission tomography with
18
F-DOPA for
visualization of dophaminergency system of brain
Ksenia Tutsenko
2
, Alina Khoroshavina
3
, Vladislav Abramov
4
, Mariia Tunik
4
, Tatiana Anuchina
2
,
Natalia Malchik
2
Dmitry Pokhabov
2,4
, Anastasiya Savelyeva
2,4
and Michael Sadovsky
1,2,4 *
Citation: Tutsenko K.;
Khoroshavina A.; Abramov V.; Tunik
M.; Anuchina T.; Malchik N.;
Pokhabov D.; Saveleva A.; Sadovsky
M. Efficiency of positron-emission
tomography with
18
F-DOPA for
visualization of dophaminergency
system of brain. Int. J. Mol. Sci. 2022,
1, 0. https://doi.org/
Received:
Accepted:
Published:
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Copyright: © 2022 by the authors.
Submitted to Int. J. Mol. Sci. for
possible open access publication
under the terms and conditions
of the Creative Commons Attri-
bution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
1
Institute of computational modelling SB RAS; msad@icm.krasn.ru
2
V.F.Voino-Yasenetsky Krasnoyarsk state medical university
3
Almazov Center
4
Federal Research & Clinic Center of FMBA of Russia
* Correspondence: msad@icm.krasn.ru; Cell tel.: +7-902-990-4597 (M.S.)
Abstract: Positron-emission tomography is powerful but costly tool for various medical investiga-
tions. In particular, it is used in Parkinsons disease and essential tremor diagnostics. However, yet
there is no standardized figures of the references, for it. We examined the PET efficiency for the
analysis of development and degradation of dophaminergic neurons in Parkinsons disease. The
informative indices are determined from the observed PET data. Also, high efficiency of PET for
Parkinsons disease as approved.
Keywords: elastic map, clustering, classification, degeneration, diagnostics
1. Introduction
Parkinson’s disease (PD) is among the most common neurodegenerative diseases of
the elderly. PD is rare among youth [1]; however, the disease rate grows in a population
elder than 60 [2,3]. Also, the decrease in the average age of the patients makes the
problem worse. Men suffer from this pathology at a twice higher rate than women [4],
although paper [5] reports an absence of the difference between genders in the disease
rating.
The etiology of PD is still unknown in detail; late age, a family history of PD, ex-
posure to adverse environmental factors are among risk factors [6,7]. The pathogenesis
of PD is associated with neuron death, and these neurons are the most crucial com-
ponent of the extrapyramidal system producing dopamine. At an early stage of the
disease, the most significant loss of dopaminergic neurons is observed in the area of the
ventrolateral substantia nigra; a progression of the disease causes the expansion of the
neurodegenerative processes [8]. Also, PD is peculiar for accumulating an intracellular
protein (α-synuclein). Lewy bodies, consisting of aggregated α-synuclein, are increased
in number in cholinergic and monoaminergic neurons of the brain stem and neurons of
the olfactory system [9,10]. The death of dopaminergic neurons at an early stage of the
disease does not manifest in motor symptoms [11,12].
Positron emission tomography (PET) is an up-to-date and promising method in
diagnosing PD and other diseases [13]. The registration of γ quanta emitted in the
annihilation of an electron and a positron emitted by a radiopharmaceutical (RP) stands
behind the method. RP consists of a biologically active substance (BAS) labelled with
a positron-emitting radioisotope. One must adequately choose RP for successful PET
diagnostics: it must be actively metabolized by a specific organ or a neoplasm [14,15].
The isotope used in RP must have a short half-life period, and tissues must weakly
absorb its radiation. It is necessary to ensure a minimal radiation load on a human body
and a high resolution of the recorded image. PET is advantageous in diagnosing PD
in terms of high sensitivity to the metabolic changes in the target structures before the
onset of atrophy. PET-examination in PD diagnosis unambiguously allows determining
Version January 31, 2022 submitted to Int. J. Mol. Sci. https://www.mdpi.com/journal/ijms
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 1 February 2022 doi:10.20944/preprints202202.0010.v1
© 2022 by the author(s). Distributed under a Creative Commons CC BY license.