Abstract
Purpose
18F-FP-CIT [18F-fluorinated N-3-fluoropropyl-2-beta-carboxymethoxy-3-beta-(4-iodophenyl) nortropane] has been well established and used for the differential diagnosis of atypical parkinsonian disorders. Recently, combined positron emission tomography (PET)/magnetic resonance (MR) was proposed as a viable alternative to PET/computed tomography (CT). The aim of this study was to compare the performances of conventional 18F-FP-CIT brain PET/CT and simultaneous PET/MR by visual inspection and quantitative analysis.
Methods
Fifteen consecutive patients clinically suspected of having Parkinson’s disease were recruited for the study.18F-FP-CIT PET was performed during PET/CT and PET/MR. PET/CT image acquisition was started 90 min after intravenous injection of 18F-FP-CIT and then PET/MR images were acquired. Dopamine transporter (DAT) density in bilateral striatal subregions was assessed visually. Quantitative analyses were performed on bilateral striatal volumes of interest (VOIs) using average standardized uptake values (SUVmeans). Intraclass correlation coefficients (ICCs) and their 95 % confidence intervals (CIs) were assessed to compare PET/CT and PET/MR data. Bland–Altman plots were drawn to perform method-comparisons.
Results
All subjects showed a preferential decrease in DAT binding in the posterior putamen (PP), with relative sparing of the ventral putamen (VP). Bilateral striatal subregional binding ratio (BR) determined PET/CT and PET/MR demonstrated close interequipment correspondence (BRright caudate - ICC, 0.944; 95 % CI, 0.835–0.981, BRleft caudate - ICC, 0.917; 95 % CI, 0.753–0.972, BRright putamen - ICC, 0.976; 95 % CI, 0.929–0.992 and BRleft putamen - ICC, 0.970; 95 % CI, 0.911–0.990, respectively), and Bland–Altman plots showed interequipment agreement between the two modalities.
Conclusions
It is known that MR provides more information about anatomical changes associated with brain diseases and to enable the anatomical allocations of subregions than CT, though this was not observed in the present study. Although the subregional BR of simultaneous PET/MR was comparable to that of PET/CT in Parkinson’s disease, our isocontouring method could make bias. A future automated method using standard template study or manual segmentation of putamen/caudate based on MR or CT is needed.
Keywords: Dopamine transporter, 18F-FP-CIT, PET/CT, PET/MR
Introduction
Parkinsonian disorder is among the most common neurodegenerative diseases in elderly individuals with Alzheimer’s disease [1, 2]. Its main clinical symptoms are akinesia, rigidity, resting tremor, and poor balance (postural instability) [3]. The cause of parkinsonian disorder is not known, but idiopathic Parkinson’s disease is the most common cause. Furthermore, the clinical symptoms of Parkinson’s disease are associated with lesions in the substantia nigra. Atypical parkinsonian disorders, such as, multiple system atrophy, corticobasal degeneration, progressive supranuclear palsy, and dementia with Lewy bodies, also account for a large percentage of parkinsonian disorder cases [4].
Many studies have been performed to improve the accuracy of differential diagnosis in patients with parkinsonian disorder, these include studies on 2-deoxy-2-[18F] fluoro-D-glucose positron emission tomography/computed tomography (18F-FDG PET/CT), dual-radionuclide dopamine transporter(DAT) and brain perfusion single photon emission computed tomography (SPECT), and diffusion-weighted magnetic resonance imaging (MRI) [5–7].
Recently F-18 fluorinated-N-3-fluoropropyl-2-b-carboxymethoxy-3-b-(4-iodophenyl) nortropane (18F-FP-CIT) PET/CT became available for use in parkinsonian disorder for DAT imaging. 18F-FP-CIT PET/CT makes it possible to evaluate regional DAT densities in the brain and to differentiate parkinsonian disorders into subtypes [8, 9].
However, CT imaging of the brain is limited by lack of soft tissue differentiation, and recently a whole-body fully integrated PET/MR scanner was introduced [10–12], and for brain lesions, it has been suggested the higher soft tissue contrast of MRI could provide more information about brain anatomical changes [13, 14].
Given this background, the purpose of the present study was to compare the performances of conventional 18F-FP-CIT brain PET/CT and simultaneous PET/MR.
Materials and Methods
Subjects
Fifteen patients (five men, ten women; mean age 65.1 ± 10.4 years; age range, 48–79 years) were recruited consecutively (Table 1). All study subjects were clinically suspected of having Parkinson’s disease due to akinesia, rigidity, and resting tremor or postural instability by an experienced neurologist, and all provided informed consent. The study was performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki, and was approved by the Institutional Review Board of Yeungnam University Hospital (IRB no. YUH-13-0430-O57).
Table 1.
Patients characteristics
| No. | Age (years) | Gender | Disease duration (months) | H & Y stage | Visual analysis of DAT density |
|---|---|---|---|---|---|
| 1 | 48 | F | 36 | NA | Decreased in both putamen |
| 2 | 64 | F | 60 | 3 | Decreased in both putamen and right caudate nucleus |
| 3 | 74 | F | 3 | 1 | Decreased in left putamen |
| 4 | 79 | M | 10 | NA | Decreased in both putamen |
| 5 | 50 | F | 5 | NA | Decreased in both putamen |
| 6 | 76 | M | 24 | NA | Decreased in both putamen and right caudate nucleus |
| 7 | 59 | F | 2 | 3 | Decreased in both putamen |
| 8 | 69 | F | 24 | 2 | Decreased in both putamen |
| 9 | 75 | F | NA | NA | Decreased in both putamen |
| 10 | 73 | F | 3 | 2.5 | Decreased in both putamen |
| 11 | 56 | M | 12 | 3 | Decreased in both putamen |
| 12 | 63 | F | 72 | NA | Decreased in both putamen and both caudate nucleus |
| 13 | 55 | M | 8 | 1.5 | Decreased in both putamen |
| 14 | 77 | M | 72 | 3 | Decreased in both putamen |
| 15 | 58 | F | 2 | 1 | Decreased in both putamen |
NA not available
H & Y Hoehn and Yahr
DAT dopamine transporter
Data Acquisition
18F-FP-CIT PET was performed using a PET/CT (Discovery VCT, GE Medical Systems, Milwaukee, WI, USA) and a PET/MR unit (Biograph mMR, Siemens Medical Solution, Hoffman Estates, Knoxville, TN, USA). All patients underwent emission scan after injecting 185 MBq (5 mCi) of 18F-FP-CIT — antiparkinsonian drugs were stopped 12 h before scans were performed.
PET/CT image acquisition was started 90 min after the intravenous injection of 18F-FP-CIT. Brain CT was performed in helical mode at auto mAs (50–200 mAs) and 120 kVp. 18F-FP-CIT PET images were acquired in the 3-dimensional (3D) mode for 10 min. The protocols for reconstruction were iterative reconstruction with 20 subsets/2 iterations. The matrix size for attenuation correction was 128 × 128, and a 2.57 mm gaussian filter and a fully 3D iterative algorithm (VUE Point HD) were applied.
Subsequently PET/MR with T1-weighted magnetization prepared rapid gradient echo (MPRAGE) and diffusion sequences including a ultrashort echo-time (UTE) sequence was performed (mean time interval between PET/CT and PET/MR 37.3 ± 20.1 min; range 19–87 min). The PET/MR imaging acquisition protocols were as follows; iterative reconstruction with 21 subsets/5 iterations, matrix size 344 × 344, and a 4 mm gaussian post reconstruction filter was used. All patients underwent MR imaging with an UTE sequence, conducted with a repetition time of 11.94 ms, echo time 1 of 0.07 ms, echo time 2 of 2.46 ms, field of view 300 × 300 mm, matrix size 192 × 192, and flip angle 10°. PET data were acquired over a single bed position of 30 cm covering the head and neck for 20 min. Syngo MR VB20P software was used for all patients. PET/MR systems used segmentation-based attenuation correction (AC) based on an attenuation map derived from MR images.
Data Analysis
PET images were interpreted by visual inspection and quantitative analysis. DAT densities in bilateral striatal subregions were performed visually. Quantitative analyses were based on bilateral striatal volumes of interest (VOIs) using average standardized uptake values (SUVmeans) and standardized uptake values (SUV) is commonly used as a relative measure of FDG uptake. SUV is a mathematically derived ratio of tissue radioactivity concentration at a point in time and the injected dose of radioactivity per kilogram of the patient’s body weight.
Four VOIs of bilateral striatal subregions (bilateral caudate nucleus and putamen) and one cerebellar VOI (from just below the inferior margin of the occipital lobe to the lower margin of the cerebellum) were drawn manually on respective PET scans by an experienced nuclear medicine physician specializing in nuclear neurology (Fig. 1). Three-dimensional iso-contouring VOIs of 40 % max-threshold were created to calculate mean SUVs as in previous oncologic studies [15, 16]. Activity concentrations were calculated for VOIs. Binding ratio (BR) was defined as follows: (SUVmean of striatal subregional VOI – SUVmean of cerebellar VOI)/SUVmean of cerebellar VOI [17]. BRs of bilateral striatal subregions were calculated (BRright caudate, BRleft caudate, BRright putamen and BRleft putamen). The analysis procedure was conducted on a dedicated workstation using commercial software (PET/CT - Advantage Workstation version 4.6, GE; and PET/MR - Syngo MMWP and Syngo TrueD, Siemens Medical Solutions, respectively).
Fig. 1.

Illustration of manual placements of volumes of interest (VOIs). Three-dimensional iso-contouring VOIs were constructed manually on PET/CT (a) and PET/MR (b) images (transaxial, coronal, and sagittal views) in areas corresponding to the caudate nucleus and putamen bilaterally
Statistical Analysis
The analysis was performed using SPSS for windows (SPSS, Chicago, IL, USA). All continuous values are presented as means and standard deviations. The nonparametric Wilcoxon matched-pairs signed rank test was used to calculate overall statistical differences in measured SUVs and BRs. BRs obtained by PET/CT and PET/MR data were directly compared, and levels interequipment agreement were evaluated using intraclass correlation coefficients (ICCs). In addition, ICCs and their 95 % confidence intervals (CIs) were used to compare PET/CT and PET/MR data. ICC values were interpreted as follows: slight (0.04–0.20), fair (0.21–0.40), moderate (0.41–0.60), substantial (0.61–0.80), and almost perfect (0.81–1.00) [18, 19]. Bland-Altman plots were also drawn to compare the two modalities, as previously described [20, 21]. Probability values of less than 0.05 were considered statistically significant.
Results
Visual Assessment
Visual inspection of 18F-FP-CIT PET scans showed 14 of the 15 subjects exhibited decreased DAT density on bilateral striata. The other subject showed decreased DAT density on unilateral striatum. Both PET/CT and PET/MR showed reduced DAT densities in bilateral or unilateral striata (particularly in the posterior putamen,“rabbit hip” sign on maximum-intensity-projection images). Visual evaluations made by 18F-FP-CIT brain PET/MR and simultaneous 18F-FP-CIT PET/CT agreed. All subjects were visually diagnosed with Parkinson’s disease by common consent (Fig. 2). No patient showed acute infarction and one had an old lacunar infarction in both basal ganglia.
Fig. 2.

PET/CT (a,b) and PET/MR (c,d) images of 55-year-old male patient who showed decreased DAT binding in the posterior putamina, though the left side was more affected. The quality of the PET/MR image was similar to that of the respective PET scan of PET/CT. PET/CT (e,f) and PET/MR (g,h) images of 78-year-old male patient who showed symmetrically decreased (DAT) binding in posterior putamina
Quantitative Assessment
SUVmeans of the four bilateral subregions and cerebellum were measured in PET/CT and PET/MR images. Overall, average regional PET/CT SUVs were significantly higher than PET/MR SUVs (average SUVmeans right caudate 5.41 ± 1.54, left caudate 5.61 ± 1.34, right putamen 5.03 ± 1.58, left putamen 4.93 ± 1.31, and cerebellum 1.03 ± 0.17 for PET/CT; and right caudate 3.87 ± 1.17, left caudate 4.00 ± 1.02, right putamen 3.59 ± 1.22, left putamen 3.49 ± 1.02, and cerebellum 0.73 ± 0.11 for PET/MR, p < 0.001, respectively) (Table 2). Overall the SUVmean of the bilateral striatal subregion showed excellent interequipment agreement in ICCs between PET/CT and PET/MR (Fig. 3).
Table 2.
SUVmeans and BR values determined by 18F-FP-CIT PET/CT and PET/MR
| Anatomic region | PET/CT | PET/MR | P-value | |||
|---|---|---|---|---|---|---|
| SUV means | BR | SUV means | BR | SUV means | BR | |
| Right caudate | 5.41 ± 1.54 | 4.38 ± 1.84 | 3.87 ± 1.17 | 4.31 ± 1.67 | <0.001 | 0.842 |
| Left caudate | 5.61 ± 1.34 | 4.54 ± 1.56 | 4.00 ± 1.02 | 4.50 ± 1.50 | <0.001 | 0.910 |
| Right putamen | 5.03 ± 1.58 | 4.00 ± 1.88 | 3.59 ± 1.22 | 3.95 ± 1.84 | <0.001 | 0.570 |
| Left putamen | 4.93 ± 1.31 | 3.88 ± 1.62 | 3.49 ± 1.02 | 3.82 ± 1.57 | <0.001 | 0.496 |
| Cerebellum | 1.03 ± 0.17 | 0.73 ± 0.11 | <0.001 | |||
SUVmeans average standardized uptake values
BR binding ratio
Fig. 3.
Relationship between PET/CT and subsequent PET/MR as determined using SUVmean values. The PET/CT SUVmeans were significantly higher than the PET/MR SUVmeans. ICCs of bilateral caudate nucleus and putamen represented excellent interequipment agreement (SUV in right caudate nucleus - ICC, 0.964; 95 % CI, 0.892–0.988, SUV in left caudate nucleus - ICC, 0.942; 95 % CI, 0.828–0.981, SUV in right putamen - ICC, 0.963; 95 % CI, 0.889–0.988 and SUV in left putamen - ICC, 0.950; 95 % CI, 0.850–0.983, respectively)
BRs obtained by PET/CT and PET/MR were not significantly different (Table 2). Bilateral striatal subregion BRs determined by PET/CT and PET/MR demonstrated excellent interequipment agreement in ICCs. To estimate the reliability between both PET/CT and PET/MR, we also designed Bland-Altman plots. BRs in Bland-Altman plots showed that most dots were contained within the CIs. BR of caudate nucleus shows more variable than those of putamen and BR on PET/MR was lower than BR on PET/CT (right caudate 0.073 ± 1.58, left caudate 0.044 ± 1.65, right putamen 0.054 ± 1.11, left putamen 0.066 ± 1.06, respectively) (Fig. 4).
Fig. 4.
DAT BR values of PET/CT and PET/MR for striatal subdivisions. a The bilateral striatal subregion of BR demonstrated interequipment correspondence and the BR of caudate nucleus and putamen did not show significant difference from PET/CT and PET/MR. BR of caudate nucleus and putamen represented excellent interequipment agreement (BRright caudate - ICC, 0.944; 95 % CI, 0.835–0.981, BRleft caudate - ICC, 0.917; 95 % CI, 0.753–0.972, BRright putamen - ICC, 0.976; 95 % CI, 0.929–0.992 and BRleft putamen - ICC, 0.970; 95 % CI, 0.911–0.990, respectively). b Bland-Altman plots showing interequipment agreement between the two modalities. Most dots were contained within the CIs in bilateral striatal subregions (right caudate 0.073 ± 1.58, left caudate 0.044 ± 1.65, right putamen 0.054 ± 1.11, left putamen 0.066 ± 1.06, respectively)
Discussion
Parkinson’s disease and atypical parkinsonism (such as multiple system atrophy and progressive supranuclear palsy) exhibit significantly decreased striatal DAT density and each disorder shows different preferential subregional DAT binding values when examined by FP-CIT SPECT and PET [22–24]. The recent introduction of 18F-FP-CIT PET/CT enables presynaptic DAT imaging in parkinsonian disorder, and it is also possible to evaluate regional DAT densities in the brain [8, 9].
However, CT imaging of the brain is limited by a lack of soft tissue differentiation. In brain lesions, the higher soft tissue contrast of MRI could provide more information about brain anatomical changes [12–14], and recently a fully integrated PET/MR scanner was introduced [10–12].
Although brain PET/MR has several advantages in terms of brain tissue segmentation and anatomic information over PET/CT, controversy continues as whether PET/CT and PET/MR data are replaceable [25]. The present study indicates 18F-FP-CIT brain PET/MR is feasible and has a performance comparable to that of simultaneous brain PET/CT. No definite differences were observed between visual analyses of 18F-FP-CIT brain PET scan results obtained by PET/CT and PET/MR. Furthermore, PET/MR images were of similar quality to PET/CT images and all study population was visually diagnosed in Parkinson’s disease [decrease in DAT binding in the posterior putamen (PP), with relative sparing of the ventral putamen (VP)]. Previous oncologic PET studies have also indicated that there is no significant difference between the PET data obtained by PET/MR and PET/CT with respect to image quality [26, 27].
Quantification of 18F-FP-CIT has been considered an important issue in clinical brain PET studies [28, 29]. It is essential to achieve accurate quantification for 18F-FP-CIT PET for clinical applications given the development of quantitative imaging based biomarkers. In particular, DAT imaging have been regarded as a biomarker of nigrostriatal dopaminergic pathway dysfunction. In this context, spatially and temporally coregistered PET/MR may have advantages in terms of accurately defining structures for quantification [17].
In previous studies, binding potentials calculated from striatal regional ratios were found to be useful when 18F-FP-CIT reaches equilibrium binding in the brain [30, 31]. For quantitative analysis, we calculated DAT BRs from PET/MR and PET/CT based on manually drawn VOIsand as a preliminary report, simple and fast striatum segmentation method was employed. This simple method could provide acceptable quantification for DAT binding of F-FP-CIT [32]. The BRs of bilateral striata showed interequipment reliability in the present study (BRright caudate - ICC, 0.944; 95 % CI, 0.835–0.981, BRleft caudate - ICC, 0.917; 95 % CI, 0.753–0.972, BRright putamen - ICC, 0.976; 95 % CI, 0.929–0.992 and BRleft putamen - ICC, 0.970; 95 % CI, 0.911–0.990, respectively), although average regional SUVs were higher for PET/CT than PET/MR. The lower SUVs of the second PET scans (PET/MR) were probably due to the use of different scanners from different manufacturers, the dynamic changes (FP-CIT kinetics) of 18F-FP-CIT. Previous reports on the pharmacokinetics of 18F-FP-CIT have shown putaminal radioactivity peaks within 30 min and then gradually diminishes in idiopathic Parkinson’s disease (IPD) patients [33]. This finding agrees with a previous report issued by Choi et al. [17], who compared BRs using PET template and performed statistical probabilistic anatomic mapping derived from 18F-FP-CIT brain PET data using the PET/MR and PET/CT approaches. They found that BRs of caudate and putamen showed excellent interequipment agreements when non-AC data from PET/MR and PET/CT were used. Nevertheless, DAT BR in the caudate nucleus was significantly underestimated by PET/MR, compared with PET/CT because of spatial bias of attenuation map. Our results showed excellent interequipment agreements when AC data from PET/MR and PET/CT were used. It is not clear about this difference but in the present study, we used the isocontouring method which may not fully include the caudate nucleus and the bias of our quantification method could make this difference.
Our study has several limitations. The first limitation is that only a small number of patients were included. Second, we used PET/MR (Biograph mMR, Siemens Medical Solution) and PET/CT (Discovery VCT, GE Medical Systems) scanners from different manufacturers; Delso G et al. showed that even when PET/CT and PET/MR scanners from the same vendor were used, PET detectors were significantly different [34]. Third, we examined only two regions (caudate nucleus and putamen), and thus, further studies on more segmented subregions (anterior caudate, posterior caudate, anterior putamen, posterior putamen, and ventral putamen) are needed as previous studies [35]. Fourth, the study is limited by the use of serial PET protocols and by PET/MR acquisition after PET/CT. Moreover, scan acquisition times and times between PET/CT and PET/MR scans were not standardized (mean time between PET/CT and PET/MR 37.3 ± 20.1 min; interval range 19–87 min). Accordingly, a study is required that takes into account possible dynamic changes in the binding potential of 18F-FP-CIT for PET/CT and PET/MR. Furthermore, reconstruction protocols differed for PET/CT and PET/MR, and this could have affected the quantification of PET data. But smoothing with a Gaussian filter could help comparability between PET images with different matrix size [36, 37]. Fifth, the isocontour approach have a lot of limitations, such as underestimation of SUV [38] and the tracer uptake heterogeneity can influence the delineation results [15]. To obtain more accurate quantification, automated method using standard template study or manual segmentation of putamen/caudate based on MR or CT is needed.
Conclusion
In spite of a later imaging time-point, PET image qualities of PET/CT and PET/MR were found to be comparable in terms of discriminating parkinsonian disorders. Although the subregional BR of simultaneous PET/MR was comparable to that of PET/CT in this study, isocontouring method using max-threshold could make serious bias. An additional, larger-scale prospective study and automated method using standard template study or manual segmentation of putamen/caudate based on MR or CT is needed that includes image quality analysis.
Acknowledgments
None. No funding to declare.
Compliance with Ethical Standards
Conflict of Interest
SangDon Kwon, Eunjung Kong, KyungAh Chun and IhnHo Cho declare that they have no conflict of interest.
Ethical Statement
All procedures performed in the study involving human participant were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Footnotes
This manuscript has not been published before or is not under consideration for publication anywhere else and has been approved by all co-authors.
References
- 1.Lang AE, Lozano AM. Parkinson’s disease. 1st of two parts. N Engl J Med. 1998;339:1044–53. doi: 10.1056/NEJM199810083391506. [DOI] [PubMed] [Google Scholar]
- 2.Lang AE, Lozano AM. Parkinson’s disease. 2nd of two parts. N Engl J Med. 1998;339:1130–43. doi: 10.1056/NEJM199810153391607. [DOI] [PubMed] [Google Scholar]
- 3.Hughes AJ, Daniel SE, Lees AJ. The clinical features of Parkinson’s disease in 100 histologically proven cases. Adv Neurol. 1993;60:595–9. [PubMed] [Google Scholar]
- 4.Bower JH, Dickson DW, Taylor L, et al. Clinical correlates of the pathology underlying parkinsonism: a population perspective. Mov Disord. 2002;17:910–6. doi: 10.1002/mds.10202. [DOI] [PubMed] [Google Scholar]
- 5.Juh R, Kim J, Moon D, Choe B, Suh T. Different metabolic patterns analysis of Parkinsonism on the 18F-FDG PET. Eur J Radiol. 2004;51:223–33. doi: 10.1016/S0720-048X(03)00214-6. [DOI] [PubMed] [Google Scholar]
- 6.Van Laere K, Casteels C, De Ceuninck L, Vanbilloen B, Maes A, Mortelmans L, et al. Dual-tracer dopamine transporter and perfusionSPECT in differential diagnosis of parkinsonism using templatebaseddiscriminant analysis. J Nucl Med. 2006;47:384–92. [PubMed] [Google Scholar]
- 7.Schocke MF, Seppi K, Esterhammer R, Kremser C, Jaschke W, Poewe W, et al. Diffusion-weighted MRI differentiates the Parkinson variant of multiple system atrophy from PD. Neurology. 2002;58:575–80. doi: 10.1212/WNL.58.4.575. [DOI] [PubMed] [Google Scholar]
- 8.Cherry SR. Fundamentals of positron emission tomography and applications inpreclinical drug development. J Clin Pharmacol. 2001;41:482–91. doi: 10.1177/00912700122010357. [DOI] [PubMed] [Google Scholar]
- 9.Jokinen P, Helenius H, Rauhala E, et al. Simple ratio analysis of 18F-fluorodopauptake in striatal subregions separates patients with early Parkinson disease from healthy controls. J Nucl Med. 2009;50:893–9. doi: 10.2967/jnumed.108.061572. [DOI] [PubMed] [Google Scholar]
- 10.Martinez-Möller A, Eiber M, Nekolla SG, et al. Workflow and scan protocol considerations for integrated whole-body PET/MRI in oncology. J Nucl Med. 2012;53:1415–26. doi: 10.2967/jnumed.112.109348. [DOI] [PubMed] [Google Scholar]
- 11.Drzezga A, Souvatzoglou M, Eiber M, et al. First clinical experience with integrated whole-body PET/MR: comparison to PET/CT in patients with oncologic diagnoses. J Nucl Med. 2012;53:845–55. doi: 10.2967/jnumed.111.098608. [DOI] [PubMed] [Google Scholar]
- 12.Antoch G, Bockisch A. Combined PET/MRI: a new dimension in whole-bodyoncology imaging? Eur J Nucl Med Mol Imaging. 2009;36:S113–20. doi: 10.1007/s00259-008-0951-6. [DOI] [PubMed] [Google Scholar]
- 13.Loeffelbein DJ, Souvatzoglou M, Wankerl V, et al. PET-MRI fusion in head-and neck oncology: current status and implications for hybrid PET/MRI. J Oral Maxillofac Surg. 2012;70:473–83. doi: 10.1016/j.joms.2011.02.120. [DOI] [PubMed] [Google Scholar]
- 14.von Schulthess GK, Schlemmer HP. A look ahead: PET/MR versus PET/CT. Eur J Nucl Med Mol Imaging. 2009;36:S3–9. doi: 10.1007/s00259-008-0940-9. [DOI] [PubMed] [Google Scholar]
- 15.Schinagl DA, Span PN, van den Hoogen FJ, et al. Pathology-based validation of FDG PET segmentation tools for volume assessment of lymph node metastases from head and neck cancer. Eur J Nucl Med Mol Imaging. 2013;40(12):1828–35. doi: 10.1007/s00259-013-2513-9. [DOI] [PubMed] [Google Scholar]
- 16.Zhang S, Xin J, Guo Q, et al. Defining PET tumor volume in cervical cancer with hybrid PET/MRI: a comparative study. Nucl Med Commun. 2014;35(7):712–9. doi: 10.1097/MNM.0000000000000113. [DOI] [PubMed] [Google Scholar]
- 17.Choi H, Cheon GJ, Kim HJ, et al. Segmentation-based MR attenuation correction including bones also affects quantitation in brain studies: an initial result of 18F-FP-CIT PET/MR for patients with parkinsonism. J Nucl Med. 2014;55:1617–22. doi: 10.2967/jnumed.114.138636. [DOI] [PubMed] [Google Scholar]
- 18.Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–74. doi: 10.2307/2529310. [DOI] [PubMed] [Google Scholar]
- 19.Eliasziw M, Young SL, Woodbury MG, Fryday-Field K. Statistical methodology for the concurrent assessment of interrater and intrarater reliability: using goniometric measurements as an example. Phys Ther. 1994;74:777–88. doi: 10.1093/ptj/74.8.777. [DOI] [PubMed] [Google Scholar]
- 20.Dewitte K, Fierens C, Stöckl D, Thienpont LM. Application of the Bland-Altman plot for the interpretation of method-comparison studies: a critical investigation of its practice. Clin Chem. 2002;48:799–801. [PubMed] [Google Scholar]
- 21.Mantha S, Roizen MF, Fleisher LA, Thisted R, Foss J. Comparing methods of clinical measurement: reporting standards for Bland and Altman analysis. Anesth Analg. 2000;90:593–602. doi: 10.1097/00000539-200003000-00018. [DOI] [PubMed] [Google Scholar]
- 22.Kim BS, Jang SJ, Eo JS, Park EK, Kim YK, Kim JM, et al. The discriminating nature of dopamine transporter image in parkinsonism: the competency of dopaminergic transporter imaging in differential diagnosis of parkinsonism: 123I-FP-CIT SPECT study. Nucl Med Mol Imaging. 2007;41:272–9. [Google Scholar]
- 23.Oh SW, Kim YK, Lee BC, Kim BS, Kim JS, Kim JM, et al. Evaluation of multiple system atrophy and early Parkinson’s disease using 123I-FP-CIT SPECT. Nucl Med Mol Imaging. 2009;43:10–8. [Google Scholar]
- 24.Ma Y, Dhawan V, Mentis M, et al. Parametric mapping of [18F]FPCIT binding in early stage Parkinson’s disease: a PET study. Synapse. 2002;45:125–33. doi: 10.1002/syn.10090. [DOI] [PubMed] [Google Scholar]
- 25.Hofmann M, Pichler B, Scholkopf B, Beyer T. Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques. Eur J Nucl Med Mol Imaging. 2009;36:S93–104. doi: 10.1007/s00259-008-1007-7. [DOI] [PubMed] [Google Scholar]
- 26.Eiber M, Takei T, Souvatzoglou M, et al. Performance of whole-body integrated 18F-FDG PET/MR in comparison to PET/CT for evaluation of malignant bone lesions. J Nucl Med. 2014;55:191–7. doi: 10.2967/jnumed.113.123646. [DOI] [PubMed] [Google Scholar]
- 27.Rauscher I, Eiber M, Furst S, et al. PET/MR imaging in the detection and characterization of pulmonary lesions: technical and diagnostic evaluation in comparison to PET/CT. J Nucl Med. 2014;55:724–9. doi: 10.2967/jnumed.113.129247. [DOI] [PubMed] [Google Scholar]
- 28.Iranzo A, Valldeoriola F, Lomena F, et al. Serial dopamine transporter imaging of nigrostriatal function in patients with idiopathic rapid-eye-movement sleep behavior disorder: a prospective study. Lancet Neurol. 2011;10:797–805. doi: 10.1016/S1474-4422(11)70152-1. [DOI] [PubMed] [Google Scholar]
- 29.Schapira AH, McDermott MP, Barone P, et al. Pramipexole in patients with early Parkinson’s disease (PROUD): a randomised delayed-start trial. Lancet Neurol. 2013;12:747–55. doi: 10.1016/S1474-4422(13)70117-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Yaqub M, Boellaard R, van Berckel BN, et al. Quantification of dopamine transporter binding using [18F]FP-beta-CIT and positron emission tomography. J Cereb Blood Flow Metab. 2007;27:1397–406. doi: 10.1038/sj.jcbfm.9600439. [DOI] [PubMed] [Google Scholar]
- 31.Scherfler C, Seppi K, Donnemiller E, et al. Voxel-wise analysis of [123I]beta-CIT SPECT differentiates the Parkinson variant of multiple system atrophy from idiopathic Parkinson’s disease. Brain. 2005;128:1605–12. doi: 10.1093/brain/awh485. [DOI] [PubMed] [Google Scholar]
- 32.Kim YI, Im HJ, Paeng JC, et al. Validation of Simple Quantification Methods for (18)F-FP-CIT PET Using Automatic Delineation of Volumes of Interest Based on Statistical Probabilistic Anatomical Mapping and Isocontour Margin Setting. Nucl Med Mol Imaging. 2012;46(4):254–60. [DOI] [PMC free article] [PubMed]
- 33.Soyoung Jin, Minyoung Oh, Seung Jun Oh et al. Differential Diagnosis of Parkinsonism Using Dual-Phase F-18 FP-CIT PET Imaging. Nucl Med Mol Imaging. 2013;47:44–51. [DOI] [PMC free article] [PubMed]
- 34.Delso G, Furst S, Jakoby B, et al. Performance measurements of the Siemens mMR integrated whole-body PET/MR scanner. J Nucl Med. 2011;52:1914–22. [DOI] [PubMed]
- 35.Oh M, Kim JS, Kim JY, et al. Subregional patterns of preferential striatal dopamine transporter loss differ in Parkinson disease, progressive supranuclear palsy, and multiple-system atrophy.J Nucl Med. 2012;53(3):399–-406. [DOI] [PubMed]
- 36.Adams MC, Turkington TG, Wilson JM, et al. A systematic review of the factors affecting accuracy of SUV measurements. AJR Am J Roentgenol. 2010;195(2):310–20. [DOI] [PubMed]
- 37.Boellaard R, Oyen WJ, Hoekstra CJ, et al. The Netherlands protocol for standardisation and quantification of FDG whole body PET studies in multi-centre trials. Eur J Nucl Med Mol Imaging. 2008;35(12):2320–33. [DOI] [PubMed]
- 38.Biehl KJ, Kong FM, Dehdashti F, et al. 18F-FDG PET definition of gross tumor volume for radiotherapy of non-small cell lung cancer: is a single standardized uptake value threshold approach appropriate? J Nucl Med. 2006;47(11):1808–12. [PubMed]



