| Home > Publications Database > Developing a Novel Reference Region for PI‐2620‐PET Imaging to Facilitate Assessment of 4‐Repeat Tauopathies > print |
| 001 | 283140 | ||
| 005 | 20260115103834.0 | ||
| 024 | 7 | _ | |a 10.1002/alz70856_104777 |2 doi |
| 024 | 7 | _ | |a 1552-5260 |2 ISSN |
| 024 | 7 | _ | |a 1552-5279 |2 ISSN |
| 037 | _ | _ | |a DZNE-2026-00036 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Frontzkowski, Lukas |b 0 |
| 111 | 2 | _ | |a Alzheimer’s Association International Conference |g AAIC 25 |c Toronto |d 2025-07-27 - 2025-07-31 |w Canada |
| 245 | _ | _ | |a Developing a Novel Reference Region for PI‐2620‐PET Imaging to Facilitate Assessment of 4‐Repeat Tauopathies |
| 260 | _ | _ | |c 2025 |
| 336 | 7 | _ | |a Abstract |b abstract |m abstract |0 PUB:(DE-HGF)1 |s 1768465417_14996 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a Journal Article |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |m journal |
| 336 | 7 | _ | |a Output Types/Conference Abstract |2 DataCite |
| 336 | 7 | _ | |a OTHER |2 ORCID |
| 520 | _ | _ | |a Neurodegenerative 4-repeat (4R) tauopathies commonly manifest as progressive supranuclear palsy (PSP). PSP patients show elevated PI-2620-PET in subcortical 4R tau predilection sites (e.g., globus pallidus), suggesting PI-2620-PET as a promising 4R tau neuroimaging candidate. However, optimal quantification of PI-2620-PET in 4R tauopathies remains challenging, as conventional cerebellar tau-PET reference regions also accumulate 4R tau. We aimed to use unbiased image-derived input function (IDIF) PET data to determine an optimized PET reference region for in vivo quantification of 4R tau.We obtained 60-minute dynamic PI-2620-PET in 54 PSP Richardson Syndrome (PSP-RS) patients and 19 healthy controls (HC), applying IDIF-modeling using carotid timeseries to assess unbiased PI-2620-PET binding and determine total distribution volume (VT). Through an iterative approach, we intensity-normalized VT-images against white-matter regions in the Hammers brain atlas, identifying regions where intensity-normalized pallidum PET values showed the largest PSP-RS vs. HC differences. White-matter regions with strongest PSP-RS vs. HC differences surviving multiple-comparison correction were summarized into a single reference region spanning bilateral temporo-orbital white-matter. This ROI was then used to determine SUVRs using conventional 20-40 minute PI-2620-PET data in PSP-RS, a PSP-non-RS validation sample (n = 63), as well as non-tau disease controls (i.e., alpha-synucleinopathies, n = 20; Alzheimer's disease, n = 23).Using PI-2620 SUVRs obtained with the temporo-orbital white-matter reference, we detected strong PSP-RS vs. HC group differences in basal ganglia SUVRs using voxel-wise comparisons (p <0.001, FWE-cluster corrected). Similar basal ganglia differences were detected for PSP-non-RS vs. HC, but not for alpha-syn (no group differences) or AD vs. HC (cortical AD-like group differences). In contrast, minimal group differences were found using a conventional inferior cerebellar grey matter reference region.Our findings strongly suggest temporo-orbital white-matter is superior to inferior cerebellum as a reference region for PI-2620-PET imaging in 4R tauopathies, due to increased sensitivity and purported specificity for 4R tau. |
| 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, Journals: pub.dzne.de |
| 650 | _ | 7 | |a tau Proteins |2 NLM Chemicals |
| 650 | _ | 7 | |a Biomarkers |2 NLM Chemicals |
| 650 | _ | 2 | |a Humans |2 MeSH |
| 650 | _ | 2 | |a Positron-Emission Tomography |2 MeSH |
| 650 | _ | 2 | |a Supranuclear Palsy, Progressive: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Supranuclear Palsy, Progressive: metabolism |2 MeSH |
| 650 | _ | 2 | |a Male |2 MeSH |
| 650 | _ | 2 | |a Female |2 MeSH |
| 650 | _ | 2 | |a tau Proteins: metabolism |2 MeSH |
| 650 | _ | 2 | |a Aged |2 MeSH |
| 650 | _ | 2 | |a Biomarkers: metabolism |2 MeSH |
| 650 | _ | 2 | |a Middle Aged |2 MeSH |
| 650 | _ | 2 | |a Brain: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Brain: metabolism |2 MeSH |
| 650 | _ | 2 | |a Tauopathies: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Tauopathies: metabolism |2 MeSH |
| 650 | _ | 2 | |a Neuroimaging |2 MeSH |
| 700 | 1 | _ | |a Gross, Mattes |b 1 |
| 700 | 1 | _ | |a Roemer-Cassiano, Sebastian |b 2 |
| 700 | 1 | _ | |a Palleis, Carla |0 P:(DE-2719)9000852 |b 3 |u dzne |
| 700 | 1 | _ | |a Dehsarvi, Amir |b 4 |
| 700 | 1 | _ | |a Katzdobler, Sabrina |0 P:(DE-2719)9001160 |b 5 |u dzne |
| 700 | 1 | _ | |a Dewenter, Anna |b 6 |
| 700 | 1 | _ | |a Steward, Anna |b 7 |
| 700 | 1 | _ | |a Biel, Davina |b 8 |
| 700 | 1 | _ | |a Hirsch, Fabian |b 9 |
| 700 | 1 | _ | |a Gnoerich, Johannes |0 P:(DE-2719)9001652 |b 10 |u dzne |
| 700 | 1 | _ | |a Levin, Johannes |0 P:(DE-2719)2811659 |b 11 |u dzne |
| 700 | 1 | _ | |a Stephens, Andrew W. |b 12 |
| 700 | 1 | _ | |a Mueller, Andre |b 13 |
| 700 | 1 | _ | |a Koglin, Norman |b 14 |
| 700 | 1 | _ | |a Bischof, Gérard N |b 15 |
| 700 | 1 | _ | |a Kovacs, Gabor G. |b 16 |
| 700 | 1 | _ | |a Höglinger, Günter U |0 P:(DE-2719)2811373 |b 17 |u dzne |
| 700 | 1 | _ | |a Brendel, Matthias |0 P:(DE-2719)9001539 |b 18 |u dzne |
| 700 | 1 | _ | |a Franzmeier, Nicolai |b 19 |
| 773 | _ | _ | |a 10.1002/alz70856_104777 |g Vol. 21, no. S2, p. e104777 |0 PERI:(DE-600)2201940-6 |n S2 |p e104777 |t Alzheimer's and dementia |v 21 |y 2025 |x 1552-5260 |
| 856 | 4 | _ | |y OpenAccess |u https://pub.dzne.de/record/283140/files/DZNE-2026-00036.pdf |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://pub.dzne.de/record/283140/files/DZNE-2026-00036.pdf?subformat=pdfa |
| 909 | C | O | |o oai:pub.dzne.de:283140 |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)9000852 |
| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 5 |6 P:(DE-2719)9001160 |
| 910 | 1 | _ | |a External Institute |0 I:(DE-HGF)0 |k Extern |b 10 |6 P:(DE-2719)9001652 |
| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 11 |6 P:(DE-2719)2811659 |
| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 17 |6 P:(DE-2719)2811373 |
| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 18 |6 P:(DE-2719)9001539 |
| 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 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2025-01-06 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2025-01-06 |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b ALZHEIMERS DEMENT : 2022 |d 2025-01-06 |
| 915 | _ | _ | |a DEAL Wiley |0 StatID:(DE-HGF)3001 |2 StatID |d 2025-01-06 |w ger |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2025-01-06 |
| 915 | _ | _ | |a IF >= 10 |0 StatID:(DE-HGF)9910 |2 StatID |b ALZHEIMERS DEMENT : 2022 |d 2025-01-06 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2025-01-06 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2025-01-06 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |d 2025-01-06 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2025-01-06 |
| 920 | 1 | _ | |0 I:(DE-2719)1111015 |k Clinical Research (Munich) |l Clinical Research (Munich) |x 0 |
| 920 | 1 | _ | |0 I:(DE-2719)1111016 |k AG Levin |l Clinical Neurodegeneration |x 1 |
| 920 | 1 | _ | |0 I:(DE-2719)1110007 |k AG Haass |l Molecular Neurodegeneration |x 2 |
| 980 | _ | _ | |a abstract |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a I:(DE-2719)1111015 |
| 980 | _ | _ | |a I:(DE-2719)1111016 |
| 980 | _ | _ | |a I:(DE-2719)1110007 |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|