Selection of Reference Regions to Model Neurodegeneration in Huntington Disease by 18F-FDG PET/CT Using Imaging and Clinical Parameters. (January 2019)
- Record Type:
- Journal Article
- Title:
- Selection of Reference Regions to Model Neurodegeneration in Huntington Disease by 18F-FDG PET/CT Using Imaging and Clinical Parameters. (January 2019)
- Main Title:
- Selection of Reference Regions to Model Neurodegeneration in Huntington Disease by 18F-FDG PET/CT Using Imaging and Clinical Parameters
- Authors:
- López Mora, Diego Alfonso
Sampedro, Frederic
Camacho, Valle
Fernández, Alejandro
Fuentes, Francisco
Duch, Joan
Pérez-Perez, Jesús
Martínez-Horta, Saül
Marín-Lahoz, Juan
Domènech, Anna
Flotats, Albert
Estorch, Montserrat
Kulisevsky, Jaime
Carrió, Ignasi - Abstract:
- Abstract : Objective: Normalization to an appropriate reference region in 18 F-FDG PET imaging may enhance diagnostic performance in Huntington disease (HD). We aimed to identify stable brain areas that could be used to model neurometabolic degeneration in HD correlating imaging (SUVrvalues at the basal ganglia [BBGG]) and clinical parameters (disease burden score [DBS]). Materials and Methods: We performed brain 18 F-FDG PET/CT in 38 manifest HD patients (meanage ± SD, 54 ± 14.3 years; CAGrepeats ± SD, 44.2 ± 3.1), 20 premanifest HD patients (meanage ± SD, 42.7 ± 11.7 years; CAGrepeats ± SD, 40 ± 3.8), and 18 healthy controls (NC; meanage ± SD, 45 ± 13.2 years). For quantitative analysis, we selected ( a ) defined reference regions from the Montreal Neurological Institute space atlas (pons, whole cerebellum, cerebral white matter, thalamus, and a pons–cerebellar vermis region of interest), and ( b ) reference clusters obtained by voxelwise statistical comparison across groups ( P < 0.05 FWE; extent voxel threshold k = 200). Each candidate reference region and reference cluster was quantitatively assessed using imaging and clinical parameters. Results: Comparing HD and NC groups, we obtained a reference cluster in the cerebellum, and in temporal and frontal lobes. Comparing manifest HD and premanifest HD patients, we observed reference clusters in the cerebellum, pons, thalamus, parietal lobe, and cuneus. The set of reference regions showed a significant correlation betweenAbstract : Objective: Normalization to an appropriate reference region in 18 F-FDG PET imaging may enhance diagnostic performance in Huntington disease (HD). We aimed to identify stable brain areas that could be used to model neurometabolic degeneration in HD correlating imaging (SUVrvalues at the basal ganglia [BBGG]) and clinical parameters (disease burden score [DBS]). Materials and Methods: We performed brain 18 F-FDG PET/CT in 38 manifest HD patients (meanage ± SD, 54 ± 14.3 years; CAGrepeats ± SD, 44.2 ± 3.1), 20 premanifest HD patients (meanage ± SD, 42.7 ± 11.7 years; CAGrepeats ± SD, 40 ± 3.8), and 18 healthy controls (NC; meanage ± SD, 45 ± 13.2 years). For quantitative analysis, we selected ( a ) defined reference regions from the Montreal Neurological Institute space atlas (pons, whole cerebellum, cerebral white matter, thalamus, and a pons–cerebellar vermis region of interest), and ( b ) reference clusters obtained by voxelwise statistical comparison across groups ( P < 0.05 FWE; extent voxel threshold k = 200). Each candidate reference region and reference cluster was quantitatively assessed using imaging and clinical parameters. Results: Comparing HD and NC groups, we obtained a reference cluster in the cerebellum, and in temporal and frontal lobes. Comparing manifest HD and premanifest HD patients, we observed reference clusters in the cerebellum, pons, thalamus, parietal lobe, and cuneus. The set of reference regions showed a significant correlation between SUVrvalues at the BBGG and DBS in all HD patients. In premanifest HD patients, the correlation between SUVrvalues at the BBGG and DBS was significant using the pons–cerebellar vermis region of interest, the thalamus as defined reference regions, and the pons and thalamus as reference clusters. In manifest HD patients, the correlation was significant using the temporal and white matter frontal lobe clusters. Variance between SUVrvalues in the set of reference regions and reference clusters was minimal within NC. Conclusions: The pons may be a stable and reliable region to calculate SUVrvalues to model the neurometabolic degeneration in quantitative 18 F-FDG PET imaging in HD. … (more)
- Is Part Of:
- Clinical nuclear medicine. Volume 44:Number 1(2019)
- Journal:
- Clinical nuclear medicine
- Issue:
- Volume 44:Number 1(2019)
- Issue Display:
- Volume 44, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 44
- Issue:
- 1
- Issue Sort Value:
- 2019-0044-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-01
- Subjects:
- reference region -- reference cluster -- 18F-FDG PET/CT -- Huntington disease -- modeling neurodegeneration -- statistical parametric mapping
Nuclear medicine -- Periodicals
Radioisotope scanning -- Periodicals
Nuclear Medicine -- Periodicals
616.07575 - Journal URLs:
- http://gateway.ovid.com/ovidweb.cgi?T=JS&MODE=ovid&NEWS=n&PAGE=toc&D=ovft&AN=00003072-000000000-00000 ↗
http://journals.lww.com/nuclearmed/pages/default.aspx ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/RLU.0000000000002329 ↗
- Languages:
- English
- ISSNs:
- 0363-9762
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.314000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 11310.xml