Home > Publications Database > Diagnostic Efficacy of 123Iodo-Metaiodobenzylguanidine SPECT/CT in Cardiac vs. Neurological Diseases: A Comparative Study of Arrhythmogenic Right Ventricular Cardiomyopathy and α-Synucleinopathies. > print

001     275835
005     20250119000336.0
024 7 _ |a 10.3390/diagnostics15010024
|2 doi
024 7 _ |a pmid:39795552
|2 pmid
024 7 _ |a pmc:PMC11720076
|2 pmc
024 7 _ |a altmetric:173120140
|2 altmetric
037 _ _ |a DZNE-2025-00070
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Hagen, Johannes
|0 P:(DE-2719)9001286
|b 0
245 _ _ |a Diagnostic Efficacy of 123Iodo-Metaiodobenzylguanidine SPECT/CT in Cardiac vs. Neurological Diseases: A Comparative Study of Arrhythmogenic Right Ventricular Cardiomyopathy and α-Synucleinopathies.
260 _ _ |a Basel
|c 2025
|b MDPI
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1736946096_31493
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Background/Objectives: 123Iodo-metaiodobenzylguanidine single photon emission computed tomography/computed tomography (123I-MIBG SPECT/CT) is used to evaluate the cardiac sympathetic nervous system in cardiac diseases such as arrhythmogenic right ventricular cardiomyopathy (ARVC) and α-synucleinopathies such as Parkinson's diseases. A common feature of these diseases is denervation. We aimed to compare quantitative and semi-quantitative cardiac sympathetic innervation using 123I-MIBG imaging of ARVC and α-synucleinopathies. Methods: Cardiac innervation was assessed using 123I-MIBG SPECT/CT in 20 patients diagnosed with definite ARVC and 8 patients with clinically diagnosed α-synucleinopathies. Heart-to-mediastinum-ratio (H/M-ratio), as semi-quantitative, was evaluated. Additionally, standardized uptake value (SUV), as quantitative, was measured as SUVmedian, SUVmax, and SUVpeak in the left ventricle (LV), the right ventricle (RV), and in the global heart, based on a CT scan following quantitative image reconstruction. Results: The quantification of 123I-MIBG uptake in the LV, the RV, and the global heart was feasible in patients suffering from α-synucleinopathies. SUVmedian, and SUVpeak demonstrated a significant difference between ARVC and α-synucleinopathies across all regions, with the α-synucleinopathy group showing a lower uptake. In addition, the H/M ratio showed significantly lower uptake in patients with α-synucleinopathies than in patients with ARVC. Conclusions: Patients with α-synucleinopathies demonstrate significantly lower cardiac innervation in semi-quantitative and quantitative examinations than ARVC patients. The comparison of semi-quantitative and quantitative examinations suggests that quantitative examination offers an advantage. Quantitative analysis can be performed separately for the LV, RV, and global heart. However, analyzing the LV or RV does not provide additional benefit over analyzing the global heart in distinguishing between α-synucleinopathies and ARVC. Considering the different clinical manifestations of these two diseases, the absolute SUV values should not be generalized across different pathologies, and disease-specific ranges should be used instead.
536 _ _ |a 353 - Clinical and Health Care Research (POF4-353)
|0 G:(DE-HGF)POF4-353
|c POF4-353
|f POF IV
|x 0
536 _ _ |a 352 - Disease Mechanisms (POF4-352)
|0 G:(DE-HGF)POF4-352
|c POF4-352
|f POF IV
|x 1
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
650 _ 7 |a 123I-MIBG
|2 Other
650 _ 7 |a ARVC
|2 Other
650 _ 7 |a RV
|2 Other
650 _ 7 |a SUV
|2 Other
650 _ 7 |a heart
|2 Other
650 _ 7 |a α-synucleinopathies
|2 Other
700 1 _ |a Scheifele, Maximilian
|0 P:(DE-2719)9001444
|b 1
700 1 _ |a Zacherl, Mathias J
|b 2
700 1 _ |a Katzdobler, Sabrina
|0 P:(DE-2719)9001160
|b 3
|u dzne
700 1 _ |a Bernhardt, Alexander
|0 P:(DE-2719)9002620
|b 4
|u dzne
700 1 _ |a Brendel, Matthias
|0 P:(DE-2719)9001539
|b 5
|u dzne
700 1 _ |a Levin, Johannes
|0 P:(DE-2719)2811659
|b 6
700 1 _ |a Höglinger, Günter U
|0 P:(DE-2719)2811373
|b 7
|u dzne
700 1 _ |a Clauß, Sebastian
|0 0000-0002-5675-6128
|b 8
700 1 _ |a Kääb, Stefan
|b 9
700 1 _ |a Todica, Andrei
|0 0000-0003-1504-6565
|b 10
700 1 _ |a Boening, Guido
|0 0000-0003-0986-2929
|b 11
700 1 _ |a Fischer, Maximilian
|0 0000-0001-9172-3316
|b 12
773 _ _ |a 10.3390/diagnostics15010024
|g Vol. 15, no. 1, p. 24 -
|0 PERI:(DE-600)2662336-5
|n 1
|p 24
|t Diagnostics
|v 15
|y 2025
|x 2075-4418
856 4 _ |u https://pub.dzne.de/record/275835/files/DZNE-2025-00070%20SUP.zip
856 4 _ |y OpenAccess
|u https://pub.dzne.de/record/275835/files/DZNE-2025-00070.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://pub.dzne.de/record/275835/files/DZNE-2025-00070.pdf?subformat=pdfa
909 C O |o oai:pub.dzne.de:275835
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 3
|6 P:(DE-2719)9001160
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 4
|6 P:(DE-2719)9002620
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 5
|6 P:(DE-2719)9001539
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 6
|6 P:(DE-2719)2811659
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 7
|6 P:(DE-2719)2811373
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-353
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Clinical and Health Care Research
|x 0
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-352
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Disease Mechanisms
|x 1
914 1 _ |y 2025
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2025-01-07
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2025-01-07
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b DIAGNOSTICS : 2022
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2024-08-29T10:48:13Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2024-08-29T10:48:13Z
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2025-01-07
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-07
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2025-01-07
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2025-01-07
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-07
920 1 _ |0 I:(DE-2719)1111015
|k Clinical Research (Munich)
|l Clinical Research (Munich)
|x 0
920 1 _ |0 I:(DE-2719)1110007
|k AG Haass
|l Molecular Neurodegeneration
|x 1
920 1 _ |0 I:(DE-2719)1111016
|k AG Levin
|l Clinical Neurodegeneration
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-2719)1111015
980 _ _ |a I:(DE-2719)1110007
980 _ _ |a I:(DE-2719)1111016
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21