Zobrazeno 1 - 10
of 364
pro vyhledávání: '"Binding ratio"'
Autor:
Ivayla Apostolova, Tassilo Schiebler, Catharina Lange, Franziska Lara Mathies, Wencke Lehnert, Susanne Klutmann, Ralph Buchert
Publikováno v:
EJNMMI Physics, Vol 10, Iss 1, Pp 1-18 (2023)
Abstract Background The specific binding ratio (SBR) of 123I-FP-CIT in the putamen is widely used to support the interpretation of dopamine transporter (DAT) SPECT. Automatic methods for computation of the putamen SBR often include stereotactical nor
Externí odkaz:
https://doaj.org/article/d31cadcac51b4c77a116d22e13df069b
Akademický článek
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Autor:
Mehrdad Mozafar, Sina Kazemian, Elahe Hoseini, Mohammad Mohammadi, Rojina Alimoghadam, Mahan Shafie, Mahsa Mayeli
Publikováno v:
Clinical Parkinsonism & Related Disorders, Vol 8, Iss , Pp 100177- (2023)
Background: Blood uric acid level indicates an emerging biomarker in Parkinson's disease (PD). This study aimed to evaluate longitudinal uric acid levels among different kinds of glucocerebrosidase (GBA) mutations and to compare it among sporadic PD,
Externí odkaz:
https://doaj.org/article/ccba40911e9b450489a2b05feae32fed
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
BackgroundDopaminergic denervation and motor symptoms are usually asymmetric at the onset of Parkinson's disease (PD). In this study, we estimated the asymmetry of specific binding ratio (SBR) of I-123 FP-CIT SPECT images during 4-years of follow up,
Externí odkaz:
https://doaj.org/article/ba8a0cbf67e041d9ac16d7cd5ba83994
Autor:
Akinobu Kita, Hidehiko Okazawa, Katsuya Sugimoto, Nobuyuki Kosaka, Eiji Kidoya, Tetsuya Tsujikawa
Publikováno v:
Diagnostics, Vol 13, Iss 8, p 1371 (2023)
This study aimed to develop a new convolutional neural network (CNN) method for estimating the specific binding ratio (SBR) from only frontal projection images in single-photon emission-computed tomography using [123I]ioflupane. We created five datas
Externí odkaz:
https://doaj.org/article/571a837731944eb6acf3ae96d3adbf14
Publikováno v:
Asia Oceania Journal of Nuclear Medicine and Biology, Vol 8, Iss 2, Pp 95-101 (2020)
Objective(s): I-123-ioflupane single photon emission computed tomography (FP-CIT-SPECT) has been used to assess dopamine transporter (DAT) loss in Parkinson's disease. The specific binding ratio (SBR), a quantitative parameter of DAT density in the s
Externí odkaz:
https://doaj.org/article/62c553907985482bb439c305fd696410
Autor:
Helen Schmitz-Steinkrüger, Catharina Lange, Ivayla Apostolova, Holger Amthauer, Wencke Lehnert, Susanne Klutmann, Ralph Buchert
Publikováno v:
EJNMMI Physics, Vol 7, Iss 1, Pp 1-16 (2020)
Abstract Background This study investigated the impact of the size of the normal database on the classification performance of the specific binding ratio (SBR) in dopamine transporter (DAT) SPECT with [123I]FP-CIT in different settings. Methods The f
Externí odkaz:
https://doaj.org/article/71aa7745a0aa4c2ebd3bec592bea0950
Autor:
In-hee Kwak, Yun Kyoung Lee, Hyeo-il Ma, Sangwon Lee, Mijin Yun, Yun Joong Kim, Hee Sung Hwang, Young Eun Kim
Publikováno v:
Journal of Integrative Neuroscience, Vol 22, Iss 1, p 18 (2023)
Background and Purpose: REM sleep behavior disorder (RBD) in Parkinson’s disease (PD) is associated with characteristic clinical subtypes and prognosis. In addition, nigrostriatal pathway, the most vulnerable anatomical area in PD, formed neuronal
Externí odkaz:
https://doaj.org/article/85dcb8566a7d409db596b08ab2832d0a
Autor:
Yu Iwabuchi, Tadaki Nakahara, Masashi Kameyama, Yohji Matsusaka, Yasuhiro Minami, Daisuke Ito, Hajime Tabuchi, Yoshitake Yamada, Masahiro Jinzaki
Publikováno v:
EJNMMI Research, Vol 9, Iss 1, Pp 1-8 (2019)
Abstract Background A cerebrospinal fluid (CSF)-mask algorithm has been developed to reduce the adverse influence of CSF-low-counts on the diagnostic utility of the specific binding ratio (SBR) index calculated with Southampton method. We assessed th
Externí odkaz:
https://doaj.org/article/4b946f363a0344f6b13ae53f7fcfd719