High resolution BrainPET combined with simultaneous MRI

Herzog, Hans; Langen, Karl‐Josef; Weirich, Christoph; Kops, Elena Rota; Kaffanke, J.; Tellmann, Lutz; Scheins, J.; Neuner, Irene; Stoffels, Gabriele; Fischer, K; Caldeira, Liliana; Coenen, Heinz H.; Shah, N. Jon

doi:10.3413/nukmed-0347-10-09

Cited by 139 publications

(65 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Anatomical MRI and resting-state (RS)-functional (f)MRI data of every study participant were obtained at a 3T MR-Brain-PET scanner (Siemens, Erlangen, Germany) combining a 3T MR system MAGNETOM Trio with a custombuild BrainPET insert in the bore of the magnet using both a transmit-receive and 8-channel receive coil [59]. Vacuum cushions were used to reduce head motion.…”

Section: Mr Proceduresmentioning

confidence: 99%

Functional Disintegration of the Default Mode Network in Prodromal Alzheimer’s Disease

Dillen¹,

Jacobs

Kukolja

et al. 2017

JAD

View full text Add to dashboard Cite

Abstract. Neurodegenerative brain changes can affect the functional connectivity strength between nodes of the default-mode network (DMN), which may underlie changes in cognitive performance. It remains unclear how the functional connectivity strength of DMN nodes differs from healthy to pathological aging and whether these changes are cognitively relevant. We used resting-state functional magnetic resonance imaging to investigate the functional connectivity strength across five DMN nodes in 25 healthy controls (HC), 28 subjective cognitive decline (SCD) participants, and 25 prodromal Alzheimer's disease (AD) patients. After identifying the ventral medial prefrontal cortex (vmPFC), posterior cingulate cortex (PCC), retrosplenial cortex (RSC), inferior parietal lobule, and the hippocampus we investigated the functional strength between DMN nodes using temporal network modeling. Functional coupling of the vmPFC and PCC in prodromal AD patients was disrupted. This vmPFC-PCC coupling correlated positively with memory performance in prodromal AD. Furthermore, the hippocampus decoupled from posterior DMN nodes in SCD and prodromal AD patients. There was no coupling between the hippocampus and the anterior DMN. Additional mediation analyses indicated that the RSC enables communication between the hippocampus and DMN regions in HC but none of the other two groups. These results suggest an anterior-posterior disconnection and a hippocampal de-coupling from posterior DMN nodes with disease progression. Hippocampal de-coupling already occurring in SCD may provide valuable information for the development of a functional biomarker.

show abstract

Section: Mr Proceduresmentioning

confidence: 99%

Functional Disintegration of the Default Mode Network in Prodromal Alzheimer’s Disease

Dillen¹,

Jacobs

Kukolja

et al. 2017

JAD

View full text Add to dashboard Cite

show abstract

“…Whether combining conventional MRI with MRS, diffusion imaging and dynamic FET-PET imaging could provide better performances for diagnosing glioma that has not been established in large populations [40,41]. This could also be an interesting issue to explore in combinations with the latest hybrid PET/MRI scanners [42].…”

Section: Study Characteristicsmentioning

confidence: 99%

Diagnostic accuracy of F-18-fluoroethyltyrosine PET and PET/CT in patients with brain tumor

Dunet

Prior

2013

Clin Transl Imaging

View full text Add to dashboard Cite

Positron emission tomography with 18 F-fluoroethyltyrosine (FET-PET) is increasingly used for the initial evaluation of patients with primary brain tumors (PBTs). This article provides an up-to-date systematic review and meta-analysis of FET-PET diagnostic performances in patients with suspected PBTs. The PubMed and EMBASE databases were searched for studies published in the period January 1977-September 2012. Inclusion criteria were: (1) use of FET-PET for assessment of newly diagnosed brain lesions; (2) no radiotherapy, surgery or chemotherapy prior to FET-PET and (3) use of histology as gold standard. A per-patient meta-analysis was performed, as well as a receiver operating characteristics (ROC) analysis of pooled patients to determine optimal tumor-tobackground ratio (TBR) of FET uptake. In total, 16 studies (641 patients) were included. . ROC analysis showed a meanTBR threshold C1.6 and a maxTBR C2.2 to have the best diagnostic value for differentiating PBTs from non-tumoral lesions. This meta-analysis confirms the excellent performances of FET-PET used for the diagnosis of PBTs. For FET-PET to become a relevant tool for improving patient management, prospective multicenter studies with standardized acquisition protocols should investigate its added value over current magnetic resonance imaging and the optimal combination of FET-PET and MRI.

show abstract

“…It is becoming more common to acquire multimodality neuroimaging data that include PET and fMRI, as well as other types of MR (and optical) outcomes (Apkarian et al, 2005;Catana et al, 2008;Dougherty et al, 2008;Herzog et al, 2011;Huppert et al, 2008;Newberg et al, 2005;Rabiner et al, 2011;Sperling et al, 2009;Tong et al, 2011). Combined fMRI and PET brain imaging will become even more commonplace with the increased availability of combined PET/MR imaging systems.…”

Section: Multimodality Imagingmentioning

confidence: 99%

“…The utility of the instrument was demonstrated (Schlemmer et al, 2008), particularly for neuro-oncology (Heiss et al, 2011). Figure 2 shows examples of simultaneous imaging in tumor patients and the suitability of hybrid imaging for monitoring of disease progression, treatment response, and fMRI assessment of motor function (Herzog et al, 2011).…”

Section: Simultaneousmentioning

confidence: 99%

“…Efforts by Hasegawa and colleagues in the late 1980s paved the way for combined SPECT/CT (in 1996) and PET/CT (in 1998) platforms for human imaging that generally facilitated sequential data acquisitions with high spatial correspondence of the multimodality data (Townsend, 2008). Simultaneous PET/MRI is now possible in humans (Catana et al, 2008;Herzog et al, 2011;Schlemmer et al, 2008) after an extensive technical development period that includes early study of magnetic field effects on positron range (Christensen et al, 1995;Iida et al, 1986) and subsequent development of a preclinical simultaneous PET/MR scanner by Cherry and colleagues (Townsend, 2008, for review). In the preclinical animal imaging arena, multimodality molecular imaging has been widely applied with dual and triple modality options (i.e., PET/MR, PET/SPECT/CT, or SPECT/CT/optical) possible or under development (Goorden and Beekman, 2010;Stout and Zaidi, 2009;Wehrl et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Molecular Brain Imaging in the Multimodality Era

Price

2012

J Cereb Blood Flow Metab

View full text Add to dashboard Cite

Multimodality molecular brain imaging encompasses in vivo visualization, evaluation, and measurement of cellular/molecular processes. Instrumentation and software developments over the past 30 years have fueled advancements in multimodality imaging platforms that enable acquisition of multiple complementary imaging outcomes by either combined sequential or simultaneous acquisition. This article provides a general overview of multimodality neuroimaging in the context of positron emission tomography as a molecular imaging tool and magnetic resonance imaging as a structural and functional imaging tool. Several image examples are provided and general challenges are discussed to exemplify complementary features of the modalities, as well as important strengths and weaknesses of combined assessments. Alzheimer's disease is highlighted, as this clinical area has been strongly impacted by multimodality neuroimaging findings that have improved understanding of the natural history of disease progression, early disease detection, and informed therapy evaluation.

show abstract

High resolution BrainPET combined with simultaneous MRI

Abstract: Initial experiences with the hybrid MRI/BrainPET indicate a promising basis for further developments of this unique technique allowing simultaneous PET imaging combined with both anatomical and functional MRI.

Cited by 139 publications

References 31 publications

Functional Disintegration of the Default Mode Network in Prodromal Alzheimer’s Disease

Functional Disintegration of the Default Mode Network in Prodromal Alzheimer’s Disease

Diagnostic accuracy of F-18-fluoroethyltyrosine PET and PET/CT in patients with brain tumor

Molecular Brain Imaging in the Multimodality Era

Contact Info

Product

Resources

About