Multicenter Semiquantitative Evaluation of <sup>123</sup>I‐FP‐CIT Brain SPECT

Skanjeti, Andrea; Castellano, Giancarlo; Elia, B.O.; Zotta, Michela; Dazzara, Francesca; Manfredi, Matteo; Galati, Antonello; Grimaldi, Séréna; Balma, Michele; Pellerito, R.; Podio, Valerio

doi:10.1111/jon.12242

Cited by 8 publications

(5 citation statements)

References 29 publications

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“…Univariate statistics of semiquantitative evaluation confirm previous findings [33] of significantly decreased uptake in all forms of PS compared to subjects with non-degenerative conditions, namely lower striatal uptake, as well as higher AI and C/P ratio.…”

Section: Discussionsupporting

confidence: 84%

Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal 123I-FP-CIT indices

et al. 2019

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Objectives To provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative 123 I-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis. Methods 123 I-FP-CIT SPECT was performed at a single-center level on 370 individuals with PS, including 280 patients with Parkinson’s disease (PD), 21 with multiple system atrophy-parkinsonian type (MSA-P), 41 with progressive supranuclear palsy (PSP) and 28 with corticobasal syndrome (CBS) (mean age 70.3 years, 47% female, mean disease duration at scan 1.4 year), as well as 208 age- and gender-matched control subjects. Striatal volumes-of-interest (VOIs) uptake, VOIs asymmetry indices (AIs) and caudate/putamen (C/P) ratio were used as input for SVM individual classification using fivefold cross-validation. Results Univariate analyses showed significantly lower VOIs uptake, higher striatal AI and C/P ratio for each PS in comparison to controls (all p < 0.001). Among PS, higher degree of striatal impairment was observed in MSA-P and PSP, while CBS showed moderate uptake reduction and higher AI. Binary SVM classification showed 92.9% accuracy in distinguishing PS from controls. Classification based on each binary combination of PS ranged 62.9–83.7% accuracy with the most satisfactory results when separating CBS from the other PS. Sensitivity and specificity values were high and balanced ranging from 60 to 80% for all analyses with > 70% accuracy. Overall, striatal AI and C/P ratio on the more affected side had the highest weighting factors. Conclusion Semiquantitative 123 I-FP-CIT SPECT striatal evaluation combined with SVM represents a promising approach to disentangle PD from non-degenerative conditions and from atypical PS at the early stage.

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Section: Discussionsupporting

confidence: 84%

Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal 123I-FP-CIT indices

et al. 2019

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“…The high sensitivity (97.0%) and specificity values (93.3%) observed for the automated evaluation of the putaminal region were also comparable to those observed for the validated visual grading or the manual evaluation of the putaminal region, but please note that these values are highly dependent on the actual cutoff points used. Uptake ratios derived from the caudal region showed lower diagnostic performance for both the automated and the manual evaluation techniques, which is consistent with earlier studies [6,24]. The lower diagnostic accuracy for caudate could be due to partial volume effect and anatomical variability between subjects [10], or due to the pattern of Parkinson disease degeneration (i.e.…”

Section: Discussionsupporting

confidence: 81%

Validation of an automated morphological MRI-based 123I-FP-CIT SPECT evaluation method

Perlaki¹,

Szekeres

Orsi³

et al. 2016

Parkinsonism & Related Disorders

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“…Several automatic quantification methods for DAT imaging evaluation have been released in recent years, such as BasGan (Basal Ganglia, freely available from the Italian association of Nuclear Medicine 1 ), DaTView (Nihon Medi-Physics, Tokyo, Japan), DaTQUANT (GE Healthcare, Little Chalfont, United Kingdom), and BRASS (Hermes BRASS software, Nuclear Diagnostics AB, Sweden) (Garibotto et al, 2013; Skanjeti et al, 2015; Yokoyama et al, 2017). Most of them can give the DAT binding values in the basal ganglia automatically.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Research of 11C-CFT and 18F-FDG PET in Parkinson’s Disease: A Pilot Study With NeuroQ Software

Sun

Liu

et al. 2019

Front. Neurosci.

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Dopamine transporter (DAT) and glucose metabolism imaging have been applied in the diagnosis of Parkinson’s disease (PD). We explored the possibility of evaluating for PD with NeuroQ software by analyzing 11 C-2β-carbomethoxy-3β-(4-fluorophenyl) tropane ( 11 C-CFT) and 18 F-FDG PET/CT. We retrospectively analyzed brain 11 C-CFT and 18 F-FDG PET/CT of 38 patients with parkinsonism, including 20 with PD, 10 with multiple system atrophy (MSA) and 8 with essential tremor (ET), and compared them with the PET/CT of 11 normal healthy controls (NC). PD patients were divided into mild and moderate-severe grade according to the Hoehn-Yahr (H&Y) scale. The 11 C-CFT uptake in the caudate nuclei (CN) and putamen (Pu) normalized with cerebellum (CN/Cb and Pu/Cb) were obtained with a manual method and NeuroQ software, and their diagnostic performance was compared. 18 F-FDG uptake of specific regions was also obtained with NeuroQ, and the enhancement effect for the differential diagnosis was evaluated. There was significant agreement between the manual method and the NeuroQ method for 11 C-CFT uptake by CN ( r 2 = 0.680) and Pu ( r 2 = 0.770). 11 C-CFT uptake by CN and Pu in PD and MSA patients was significantly lower compared to NC and ET patients. The cutoffs of CN/Cb and Pu/Cb for the distinction between PD and NC were 1.71 and 2.20, respectively. No difference in uptake ratios occurred between PD and MSA. 18 F-FDG uptake by the pons and cerebellum in the MSA group was markedly decreased. It was highly accurate in distinguishing between PD and MSA when combined with analysis of 11 C-CFT uptake. Pu/Cb decreased significantly in mild grade PD compared to NC group (1.92 ± 0.33 vs. 2.82 ± 0.43); however no statistically significant decrease in CN/Cb was observed until moderate-severe grade PD (1.43 ± 0.11 vs. 2.23 ± 0.36). In early asymmetric PD, a statistically significant difference could be seen with Pu/Cb between the symptomatic and asymptomatic side (2.17 ± 0.30 vs. 1.95 ± 0.22). 11 C-CFT and 18 F-FDG PET/CT can be analyzed quantitatively with NeuroQ software, which provides an accurate method for the diagnosis and severity evaluation of PD.

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Multicenter Semiquantitative Evaluation of ¹²³I‐FP‐CIT Brain SPECT

Abstract: A unique, accurate threshold for all centers, with high sensitivity and specificity was identified. Semiquantitative assessment of (123)I-FP-CIT brain SPECT among different centers resulted reliable, accurate, and potentially useful in clinical trials.

Cited by 8 publications

References 29 publications

Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal 123I-FP-CIT indices

Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal 123I-FP-CIT indices

Validation of an automated morphological MRI-based 123I-FP-CIT SPECT evaluation method

Quantitative Research of 11C-CFT and 18F-FDG PET in Parkinson’s Disease: A Pilot Study With NeuroQ Software

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Multicenter Semiquantitative Evaluation of 123I‐FP‐CIT Brain SPECT

Abstract: A unique, accurate threshold for all centers, with high sensitivity and specificity was identified. Semiquantitative assessment of (123)I-FP-CIT brain SPECT among different centers resulted reliable, accurate, and potentially useful in clinical trials.

Cited by 8 publications

References 29 publications

Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal 123I-FP-CIT indices

Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal 123I-FP-CIT indices

Validation of an automated morphological MRI-based 123I-FP-CIT SPECT evaluation method

Quantitative Research of 11C-CFT and 18F-FDG PET in Parkinson’s Disease: A Pilot Study With NeuroQ Software

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Multicenter Semiquantitative Evaluation of ¹²³I‐FP‐CIT Brain SPECT