| Literature DB >> 34294739 |
Minyoung Oh1, Narae Lee2, Chanwoo Kim3, Hye Joo Son1, Changhwan Sung1, Seung Jun Oh1, Sang Ju Lee1, Sun Ju Chung4, Chong Sik Lee4, Jae Seung Kim5.
Abstract
Delayed phase 18F-FP-CIT PET (dCIT) can assess the striatal dopamine transporter binding to detect degenerative parkinsonism (DP). Early phase 18F-FP-CIT (eCIT) can assess the regional brain activity for differential diagnosis among parkinsonism similar with 18F-FDG PET. We evaluated the diagnostic performance of dual phase 18F-FP-CIT PET (dual CIT) and 18F-FDG PET compared with clinical diagnosis in 141 subjects [36 with idiopathic Parkinson's disease (IPD), 77 with multiple system atrophy (MSA), 18 with progressive supranuclear palsy (PSP), and 10 with non-DP)]. Visual assessment of eCIT, dCIT, dual CIT, 18F-FDG and 18F-FDG PET with dCIT was in agreement with the clinical diagnosis in 61.7%, 69.5%, 95.7%, 81.6%, and 97.2% of cases, respectively. ECIT showed about 90% concordance with non-DP and MSA, and 8.3% and 27.8% with IPD and PSP, respectively. DCIT showed ≥ 88% concordance with non-DP, IPD, and PSP, and 49.4% concordance with MSA. Dual CIT showed ≥ 90% concordance in all groups. 18F-FDG PET showed ≥ 90% concordance with non-DP, MSA, and PSP, but only 33.3% concordance with IPD. The combination of 18F-FDG and dCIT yielded ≥ 90% concordance in all groups. Dual CIT may represent a powerful alternative to the combination of 18F-FDG PET and dCIT for differential diagnosis of parkinsonian disorders.Entities:
Year: 2021 PMID: 34294739 PMCID: PMC8298455 DOI: 10.1038/s41598-021-94040-8
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Examples of axial (a) and coronal slice (b) of delayed phase 18F-FP-CIT PET, early phase 18F-FP-CIT PET (c), and 18F-FDG PET (d) of patients with non-degenerative parkinsonism (1st row), IPD (2nd row), MSA-C (3rd row), MSA-P (4th row), and PSP (5th row). The patient with IPD (2nd row) showed decreased DAT binding of the bilateral dorsal posterior putamen, with relative sparing of the ventral putamen (white arrow) on delayed phase 18F-FP-CIT PET, and normal striatal metabolism or hypermetabolism in the bilateral dorsolateral putamen on early phase 18F-FP-CIT PET and 18F-FDG -PET (blue arrow). The patient with MSA-C and MSA-P (3rd and 4th rows), shows DAT loss not only in the posterior putamen, but also in the ventral putamen (white arrow head) on delayed phase 18F-FP-CIT PET. On early phase 18F-FP-CIT PET and 18F-FDG -PET, MSA showed hypometabolism in the cerebellar cortex (blue arrow head with white outline) and/or hypometabolism in the basal ganglia (blue arrow head with white outline. The patient with PSP showed extensive DAT loss on both the putamen and caudate nuclei on delayed phase 18F-FP-CIT PET (yellow arrow), which was characterized by hypometabolism in the medial frontal cortices (black arrow head with yellow outline) and midbrain (red arrow) on early phase 18F-FP-CIT PET and 18F-FDG PET. All PET images were processed using PMOD 4.0 (PMOD Technologies Ltd., Zurich, Switzerland).
Demographics and clinical characteristics.
| Total | Non-DP | IPD | MSA-C | MSA-P | PSP |
|---|---|---|---|---|---|
| (n = 141) | (n = 10) | (n = 36) | (n = 46) | (n = 31) | (n = 18) |
| Age (years) | 63.9 ± 8.2 | 65.0 ± 8.2 | 57.3 ± 8.2 | 60.9 ± 8.4 | 64.5 ± 7.7 |
| Sex (male, female) | 4:6 | 16:20 | 26:20 | 8:23 | 10:8 |
| Symptom duration at FP-CIT PET (years) | NA | 2.1 ± 1.9 | 1.8 ± 1.3 | 2.4 ± 1.5 | 2.5 ± 1.4 |
| Hoehn and Yahr stage | NA | 2.2 ± 0.7 | NA | NA | NA |
| UPDRS III | NA | 17.6 ± 9.4 | NA | NA | NA |
| Duration from initial visit to PET (years) | 0.1 ± 0.1 | 0.9 ± 1.9 | 0.4 ± 0.7 | 0.9 ± 1.1 | 0.9 ± 1.0 |
| Follow-up after FP-CIT PET (years) | 2.0 ± 1.7 | 3.9 ± 2.8 | 2.3 ± 1.9 | 2.2 ± 2.1 | 3.0 ± 2.6 |
| Scanning interval (days) | 29.8 ± 84.1 | 37.6 ± 111.1 | 16.7 ± 55.4 | 14.9 ± 33.3 | 7.1 ± 161.8 |
Non-DP non-degenerative parkinsonism, PET positron emission tomography, FU follow-up, IPD idiopathic Parkinson’s disease, MSA-P multiple system atrophy, Parkinson type, MSA-C multiple system atrophy, cerebellar type, PSP progressive supranuclear palsy, UPDRS unified Parkinson's disease rating scale, NA not applicable.
Classification matrix of visual assessment of PET scans compared to clinical diagnosis.
| PET | Visual assessment | Clinical diagnosis | |||
|---|---|---|---|---|---|
| Non-DP | IPD | MSA | PSP | ||
| (n = 10) | (n = 36) | (n = 77) | (n = 18) | ||
| Early FPCIT | Non-DP | 9 (90.0%) | 31 (86.1%) | 5 (6.5%) | 8 (44.4%) |
| IPD | 0 (0.0%) | 3 (8.3%) | 1 (1.3%) | 2 (11.1%) | |
| MSA | 1 (10.0%) | 1 (2.8%) | 70 (90.9%) | 3 (16.7%) | |
| PSP | 0 (0.0%) | 1 (2.8%) | 1 (1.3%) | 5 (27.8%) | |
| Delayed FPCIT | Non-DP | 10 (100.0%) | 1 (2.8%) | 28 (36.4%) | 0 (0.0%) |
| IPD | 0 (0.0%) | 34 (94.4%) | 9 (11.7%) | 0 (0.0%) | |
| MSA | 0 (0.0%) | 0 (0.0%) | 38 (49.4%) | 2 (11.1%) | |
| PSP | 0 (0.0%) | 1 (2.8%) | 2 (2.6%) | 16 (88.9%) | |
| Dual FPCIT | Non-DP | 9 (90.0%) | 2 (5.6%) | 2 (2.6%) | 0 (0.0%) |
| IPD | 0 (0.0%) | 33 (91.7%) | 0 (0.0%) | 2 (11.1%) | |
| MSA | 1 (10.0%) | 0 (0.0%) | 77 (100.0%) | 0 (0.0%) | |
| PSP | 0 (0.0%) | 1 (2.8%) | 0 (0.0%) | 16 (88.9%) | |
| FDG | Non-DP | 9 (90.0%) | 17 (47.2%) | 1 (1.3%) | 0 (0.0%) |
| IPD | 1 (10.0%) | 12 (33.3%) | 0 (0.0%) | 0 (0.0%) | |
| MSA | 0 (0.0%) | 6 (16.7%) | 76 (98.7%) | 0 (0.0%) | |
| PSP | 0 (0.0%) | 1 (2.8%) | 0 (0.0%) | 18 (100.0%) | |
| FDG + delayed FPCIT | Non-DP | 10 (100.0%) | 2 (5.6%) | 0 (0.0%) | 0 (0.0%) |
| IPD | 0 (0.0%) | 33 (91.7%) | 0 (0.0%) | 0 (0.0%) | |
| MSA | 0 (0.0%) | 0 (0.0%) | 77 (100.0%) | 0 (0.0%) | |
| PSP | 0 (0.0%) | 1 (2.8%) | 0 (0.0%) | 17 (94.4%) | |
Classification matrix of visual assessment of PET scans compared to clinical diagnosis in subjects followed for more than 1 year after PET scan.
| PET | Visual assessment | Clinical diagnosis | |||
|---|---|---|---|---|---|
| Non-DP | IPD | MSA | PSP | ||
| (n = 6) | (n = 31) | (n = 52) | (n = 14) | ||
| Early FPCIT | NC | 6 (100.0%) | 26 (83.9%) | 5 (9.6%) | 8 (57.1%) |
| IPD | 0 (0.0%) | 3 (9.7%) | 1 (1.9%) | 1 (7.1%) | |
| MSA | 0 (0.0%) | 1 (3.2%) | 45 (86.5%) | 0 (0.0%) | |
| PSP | 0 (0.0%) | 1 (3.2%) | 1 (1.9%) | 5 (35.7%) | |
| Delayed FPCIT | NC | 6 (100.0%) | 1 (3.2%) | 20 (38.5%) | 0 (0.0%) |
| IPD | 0 (0.0%) | 30 (96.8%) | 8 (15.4%) | 0 (0.0%) | |
| MSA | 0 (0.0%) | 0 (0.0%) | 22 (42.3%) | 2 (14.3%) | |
| PSP | 0 (0.0%) | 0 (0.0%) | 2 (3.8%) | 12 (85.7%) | |
| Dual FPCIT | NC | 6 (100.0%) | 2 (6.5%) | 0 (0.0%) | 0 (0.0%) |
| IPD | 0 (0.0%) | 29 (93.5%) | 0 (0.0%) | 2 (14.3%) | |
| MSA | 0 (0.0%) | 0 (0.0%) | 52 (100.0%) | 0 (0.0%) | |
| PSP | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 12 (85.7%) | |
| FDG | NC | 5 (83.3%) | 14 (45.2%) | 1 (1.9%) | 0 (0.0%) |
| IPD | 1 (16.7%) | 11 (35.5%) | 0 (0.0%) | 0 (0.0%) | |
| MSA | 0 (0.0%) | 6 (19.4%) | 51 (98.1%) | 0 (0.0%) | |
| PSP | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 14 (100.0%) | |
| FDG + delayed FPCIT | NC | 6 (100.0%) | 2 (6.5%) | 0 (0.0%) | 0 (0.0%) |
| IPD | 0 (0.0%) | 29 (93.5%) | 0 (0.0%) | 1 (7.1%) | |
| MSA | 0 (0.0%) | 3 (9.7%) | 52 (100.0%) | 0 (0.0%) | |
| PSP | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 13 (92.9%) | |
Classification matrix of visual assessment of early and delayed phase FP-CIT PET compared to FDG PET according to clinical diagnosis.
| Clinical diagnosis | Non-DP | IPD | MSA-C | MSA-P | PSP | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| (n = 10) | (n = 36) | (n = 46) | (n = 31) | (n = 18) | |||||||||||
| FDG | Non-DP (n = 9) | IPD (n = 1) | Non-DP (n = 17) | IPD (n = 12) | MSA-C (n = 3) | MSA-P | PSP (n = 1) | Non-DP (n = 1) | MSA-C (n = 36) | MSA-M (n = 9) | MSA-C (n = 1) | MSA-M (n = 18) | MSA-P (n = 12) | PSP (n = 18) | |
| Early FP-CIT | Non-DP | 8 (88.9%) | 1 (100.0%) | 16 (94.1%) | 10 (83.3%) | 2 (66.7%) | 2 (66.7%) | 1 (100.0%) | 0 (0.0%) | 1 (2.8%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 4 (33.3%) | 8 (44.4%) |
| IPD | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 2 (16.7%) | 0 (0.0%) | 1 (33.3%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (6.7%) | 0 (0.0%) | 2 (11.1%) | |
| MSA-C | 1 (11.1%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (33.3%) | 0 (0.0%) | 0 (0.0%) | 1 (100.0%) | 35 (97.2%) | 2 (22.2%) | 1 (50.0%) | 1 (6.7%) | 0 (0.0%) | 2 (11.1%) | |
| MSA-M | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 7 (77.8%) | 0 (0.0%) | 11 (61.1%) | 2 (14.2%) | 0 (0.0%) | |
| MSA-P | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 5 (27.8%) | 5 (41.7%) | 1 (5.6%) | |
| PSP | 0 (0.0%) | 0 (0.0%) | 1 (5.7%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (7.1%) | 5 (27.8%) | |
| Delayed FP-CIT | Non-DP | 9 (100.0%) | 1 (100%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (33.3%) | 0 (0.0%) | 1 (100.0%) | 25 (69.4%) | 1 (11.1%) | 0 (0.0%) | 1 (5.6%) | 0 (0.0%) | 0 (0.0%) |
| IPD | 0 (0.0%) | 0 (0.0%) | 17 (100.0%) | 12 (100.0%) | 3 (100%) | 2 (66.7%) | 0 (0.0%) | 0 (0.0%) | 2 (5.6%) | 0 (0.0%) | 1 (100.0%) | 1 (5.6%) | 5 (41.7%) | 0 (0.0%) | |
| MSA | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 9 (25.0%) | 8 (88.9%) | 0 (0.0%) | 14 (77.8%) | 7 (58.3%) | 2 (11.1%) | |
| PSP | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (100.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 2 (11.1%) | 0 (0.0%) | 16 (88.9%) | |