TY - GEN
T1 - Search for A Midbrain Anteroposterior Diameter Threshold to Study Brain Atrophy in Spinocerebellar Ataxia Type 2
AU - Cuesta, José Alberto Álvarez
AU - Batista, Camilo Mora
AU - Vargas-De-leon, Cruz
AU - Rodes, Frank Jesús Carrillo
AU - Guzman-Martinez, Maria
AU - Fitz, Sergio J.Torralbas
N1 - Publisher Copyright:
© 2022, Avestia Publishing. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Neuroimaging techniques in relation to the study of the anatomical involution of the brain stem and cerebellum have gone through different stages in direct relation to technological advances [1]. The study of hereditary ataxias type 2 (SCA2) has advanced in terms of genetic, molecular and pathogenic knowledge; however, nowadays, Nuclear Magnetic Resonance (MRI) has a fundamental role in the imaging diagnosis of brain atrophy in patients with ataxia [2]. The study describes a morphological analysis of SCA2 patients using 2D measurements in their magnetic resonance imaging (MRI) studies over predetermined regions of the cerebellum, brainstem and cervical medulla [3]. The proposal is to determine a threshold in the measurements of the anteroposterior diameter of the midbrain to contribute to an imaging marker. This contributes to the diagnosis and progression of brain atrophy in patients with SCA2 [4]. Normality tests such as Kolmogorov-Smirnov, Shapiro-Wilks and Anderson-Darling were applied [5], variances and means were compared, and confidence intervals were calculated to propose the threshold. As a result, it is proposed that threshold values of the before posterior midbrain diameter less than 19.12083 mm, allow quantitative MRI diagnosis of midbrain atrophy in relation to SCA2 patients. It is also suggested to compare this result with the one that can be obtained using the supervised learning method known as ROC curve [6] that allows classifying and separating the data between healthy and SCA2 patients, in this way a threshold can be obtained and compared with the proposed one.
AB - Neuroimaging techniques in relation to the study of the anatomical involution of the brain stem and cerebellum have gone through different stages in direct relation to technological advances [1]. The study of hereditary ataxias type 2 (SCA2) has advanced in terms of genetic, molecular and pathogenic knowledge; however, nowadays, Nuclear Magnetic Resonance (MRI) has a fundamental role in the imaging diagnosis of brain atrophy in patients with ataxia [2]. The study describes a morphological analysis of SCA2 patients using 2D measurements in their magnetic resonance imaging (MRI) studies over predetermined regions of the cerebellum, brainstem and cervical medulla [3]. The proposal is to determine a threshold in the measurements of the anteroposterior diameter of the midbrain to contribute to an imaging marker. This contributes to the diagnosis and progression of brain atrophy in patients with SCA2 [4]. Normality tests such as Kolmogorov-Smirnov, Shapiro-Wilks and Anderson-Darling were applied [5], variances and means were compared, and confidence intervals were calculated to propose the threshold. As a result, it is proposed that threshold values of the before posterior midbrain diameter less than 19.12083 mm, allow quantitative MRI diagnosis of midbrain atrophy in relation to SCA2 patients. It is also suggested to compare this result with the one that can be obtained using the supervised learning method known as ROC curve [6] that allows classifying and separating the data between healthy and SCA2 patients, in this way a threshold can be obtained and compared with the proposed one.
UR - http://www.scopus.com/inward/record.url?scp=85141825994&partnerID=8YFLogxK
U2 - 10.11159/icbes22.137
DO - 10.11159/icbes22.137
M3 - Contribución a la conferencia
AN - SCOPUS:85141825994
SN - 9781990800092
T3 - Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science
BT - Proceedings of the 8th World Congress on Electrical Engineering and Computer Systems and Science, EECSS 2022
A2 - Benedicenti, Luigi
A2 - Liu, Zheng
PB - Avestia Publishing
T2 - 8th World Congress on Electrical Engineering and Computer Systems and Science, EECSS 2022
Y2 - 28 July 2022 through 30 July 2022
ER -