Long-term test-retest of cerebral [F]MK-6240 binding and longitudinal evaluation of extracerebral tracer uptake in healthy controls and amnestic MCI patients
Creators
- 1. Nuclear Medicine and Molecular Imaging, Imaging and Pathology, KU Leuven, Leuven (Belgium)
- 2. Department of Neurosciences, KU Leuven, Leuven (Belgium)
- 3. VIB, Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven (Belgium)
- 4. Department of Neurology, University Hospitals UZ Leuven, Leuven (Belgium)
- 5. Leuven Brain Institute, Leuven (Belgium)
- 6. Department of Old-Age Psychiatry, University Hospitals UZ Leuven, Leuven (Belgium)
- 7. Research Group Psychiatry, KU Leuven, Leuven (Belgium)
- 8. Department of Nuclear Medicine, University Hospitals UZ Leuven, Leuven (Belgium)
Description
Neurofibrillary tangles (NFTs) in Alzheimer's disease can be accurately quantified in vivo using [F]MK-6240 PET. Short-term [F]MK-6240 test-retest (TRT) is about 6%, but also long-term stability of cerebral uptake is of importance for longitudinal studies. Furthermore, although there is very little cerebral off-target binding, [F]MK-6240 shows variable extracerebral uptake (ECU) assumed to represent off-target binding to leptomeningeal melanocytes. Here, we examined 6-month TRT of [F]MK-6240 in healthy controls (HC) and investigated ECU in HC and patients with amnestic mild cognitive impairment (aMCI) with up to 2 years of follow-up. We also explored demographic factors that may be associated to ECU, including age, sex, education, smoking, and disease status. A total cohort of 40 HC (57 ± 19 years, 21F/19 M) and 24 aMCI (72 ± 8 years, 14F/10 M) underwent baseline [F]MK-6240 PET-MR (GE Signa), 90-120 min post injection. [F]MK-6240 was quantified by standardized uptake value ratios (SUVR) in predefined volumes-of-interest relative to the cerebellar cortex. Ten HC (56 ± 12 years, 8F/2 M) underwent a 6-month follow-up [F]MK-6240 to assess TRT. Also, 10 aMCI (72 ± 6 years, 5F/5 M) underwent a 2-year follow-up [F]MK-6240 PET-MR. Longitudinal changes in ECU were assessed in both cohorts. ECU was quantified as the mean SUVR of the skull parcel (FreeSurfer 6.0) that includes the meninges. The mean gray matter [F]MK-6240 SUVR TRT and absolute TRT in HC were 1.6 ± 3.4% and 2.4 ± 2.8%, respectively. We found no significant 6-month or 2-year differences in ECU in HC (4.4 ± 20%) and aMCI (7.9 ± 19%), respectively. In the total cohort, ECU was significantly correlated to age (r = - 0.48; p < 0.0001), and a multivariate analysis also showed sex differences (higher ECU in women). [F]MK-6240 shows excellent 6-month TRT, which confirms its suitability for quantification of longitudinal NFT changes. The ECU of [F]MK-6240 is variable between subjects, influenced by age and sex, but remains stable within subjects over a 2-year time period.
Availability note (English)
Available from: http://dx.doi.org/10.1007/s00259-022-05907-5Additional details
Identifiers
Publishing Information
- Journal Title
- European Journal of Nuclear Medicine and Molecular Imaging
- Journal Volume
- 49
- Journal Issue
- 13
- Journal Page Range
- p. 4580-4588
- ISSN
- 1619-7070
- CODEN
- EJNMA6
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 53122969
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- AGE DEPENDENCE; CEREBRAL CORTEX; FLUORINE 18; MELANIN; MENTAL DISORDERS; MULTIVARIATE ANALYSIS; NERVOUS SYSTEM DISEASES; POSITRON COMPUTED TOMOGRAPHY; RADIOPHARMACEUTICALS; SEX DEPENDENCE; SKULL; TOBACCO SMOKES
- Descriptors DEC
- AEROSOLS; BETA DECAY RADIOISOTOPES; BETA-PLUS DECAY RADIOISOTOPES; BODY; BRAIN; CENTRAL NERVOUS SYSTEM; CEREBRUM; COLLOIDS; COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC TECHNIQUES; DISEASES; DISPERSIONS; DRUGS; EMISSION COMPUTED TOMOGRAPHY; FLUORINE ISOTOPES; HOURS LIVING RADIOISOTOPES; HYDROXY COMPOUNDS; ISOMERIC TRANSITION ISOTOPES; ISOTOPES; LABELLED COMPOUNDS; LIGHT NUCLEI; MATERIALS; MATHEMATICS; NANOSECONDS LIVING RADIOISOTOPES; NERVOUS SYSTEM; NUCLEI; ODD-ODD NUCLEI; ORGANIC COMPOUNDS; ORGANIC NITROGEN COMPOUNDS; ORGANS; PIGMENTS; RADIOACTIVE MATERIALS; RADIOISOTOPES; RESIDUES; SKELETON; SMOKES; SOLS; STATISTICS; TOMOGRAPHY
Optional Information
- Notes
- Advanced Image Analyses (Radiomics and Artificial Intelligence)