Amyloid load but not regional glucose metabolism predicts conversion to Alzheimer’s dementia in a memory clinic population
Purpose The value of imaging regional glucose metabolism with [ 18 F]FDG PET for the prediction of progression from mild cognitive impairment (MCI) to Alzheimer’s dementia (AD) is controversial. The predictive value of imaging with [ 18 F]FDG PET was therefore tested and compared with that of imagin...
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| Veröffentlicht in: | European journal of nuclear medicine and molecular imaging 2018-07, Vol.45 (8), p.1442-1448 |
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| creator | Frings, Lars Hellwig, Sabine Bormann, Tobias Spehl, Timo S. Buchert, Ralph Meyer, Philipp T. |
| description | Purpose
The value of imaging regional glucose metabolism with [
18
F]FDG PET for the prediction of progression from mild cognitive impairment (MCI) to Alzheimer’s dementia (AD) is controversial. The predictive value of imaging with [
18
F]FDG PET was therefore tested and compared with that of imaging beta-amyloid load with [
11
C]PIB PET in the same memory clinic population of MCI patients.
Methods
Thirty-nine patients with MCI who had undergone [
18
F]FDG as well as [
11
C]PIB PET were identified from a single-centre clinical registry. [
18
F]FDG and [
11
C]PIB PET images were rated as positive or negative for the presence of regional hypometabolism typical of AD and beta-amyloid deposition, respectively. Raters were blinded to the clinical information. Patients were followed clinically for 2.7 ± 1.2 years after PET. Cox proportional hazards models, adjusted for age and sex, were used to test the predictive value of [
18
F]FDG PET, [
11
C]PIB PET, and both in combination.
Results
[
18
F]FDG PET did not significantly predict conversion to AD (
p
> 0.1). By contrast, models including [
11
C]PIB PET only (
p
|
| doi_str_mv | 10.1007/s00259-018-3983-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2015634493</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2015634493</sourcerecordid><originalsourceid>FETCH-LOGICAL-c339t-319d4d63bc529e30817ece18fc8d3ab77ebff59dabb17baaf9632495be63c9c73</originalsourceid><addsrcrecordid>eNp1kMtqGzEUhkVJaBy3D9BNEGQ9rTSam5bGJG0h0E2yFrqccWU0o4mkCThk0dfo6-VJImPXWXWlA_r-_3A-hL5Q8pUS0n6LhJQ1LwjtCsY7VjQf0II2lBct6fjZaW7JBbqMcUsyWHb8I7ooeV01DSsX6GU17Jy3BjsvDVZzwqNPOMDG-lE6vHGz9hHwAEkq72wc8BTAWJ0i1n58ghAziJPHK_f8G-wA4fXP34gNDDAmK7EdsczpwYcd1s6OVuPJT7OTKec-ofNeugifj-8SPdze3K9_FHe_vv9cr-4KzRhPBaPcVKZhStclB0Y62oIG2vW6M0yqtgXV9zU3UinaKil7nk-reK2gYZrrli3R9aF3Cv5xhpjE1s8h3xdFSWjdsKriLFP0QOngYwzQiynYQYadoETsfYuDb5E1ir1v0eTM1bF5VgOYU-Kf4AyUByDmr3ED4X31_1vfAAosjyQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2015634493</pqid></control><display><type>article</type><title>Amyloid load but not regional glucose metabolism predicts conversion to Alzheimer’s dementia in a memory clinic population</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Frings, Lars ; Hellwig, Sabine ; Bormann, Tobias ; Spehl, Timo S. ; Buchert, Ralph ; Meyer, Philipp T.</creator><creatorcontrib>Frings, Lars ; Hellwig, Sabine ; Bormann, Tobias ; Spehl, Timo S. ; Buchert, Ralph ; Meyer, Philipp T.</creatorcontrib><description>Purpose
The value of imaging regional glucose metabolism with [
18
F]FDG PET for the prediction of progression from mild cognitive impairment (MCI) to Alzheimer’s dementia (AD) is controversial. The predictive value of imaging with [
18
F]FDG PET was therefore tested and compared with that of imaging beta-amyloid load with [
11
C]PIB PET in the same memory clinic population of MCI patients.
Methods
Thirty-nine patients with MCI who had undergone [
18
F]FDG as well as [
11
C]PIB PET were identified from a single-centre clinical registry. [
18
F]FDG and [
11
C]PIB PET images were rated as positive or negative for the presence of regional hypometabolism typical of AD and beta-amyloid deposition, respectively. Raters were blinded to the clinical information. Patients were followed clinically for 2.7 ± 1.2 years after PET. Cox proportional hazards models, adjusted for age and sex, were used to test the predictive value of [
18
F]FDG PET, [
11
C]PIB PET, and both in combination.
Results
[
18
F]FDG PET did not significantly predict conversion to AD (
p
> 0.1). By contrast, models including [
11
C]PIB PET only (
p
< 0.05) or both [
18
F]FDG and [
11
C]PIB PET (
p
< 0.05) significantly predicted conversion to AD. The hazard ratio for AD in patients with a positive [
11
C]PIB scan was 10.2 (95% confidence interval 1.3–78.1). The results were confirmed by analysis of semiquantitative measures using normalized [
18
F]FDG uptake and [
11
C]PIB standardized uptake value ratios in AD-typical regions as continuous predictors.
Conclusion
In contrast to [
11
C]PIB PET, [
18
F]FDG PET did not predict conversion from MCI to AD in this clinical patient sample. Therefore, amyloid PET should be preferred for individual prediction and patient counselling in clinical practice.</description><identifier>ISSN: 1619-7070</identifier><identifier>EISSN: 1619-7089</identifier><identifier>DOI: 10.1007/s00259-018-3983-6</identifier><identifier>PMID: 29546632</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aged ; Alzheimer Disease - complications ; Alzheimer Disease - metabolism ; Alzheimer's disease ; Brain - metabolism ; Cardiology ; Cognitive ability ; Cognitive Dysfunction - etiology ; Cognitive Dysfunction - metabolism ; Confidence intervals ; Conversion ; Dementia ; Dementia disorders ; Female ; Fluorine isotopes ; Fluorodeoxyglucose F18 ; Glucose ; Glucose - metabolism ; Hazards ; Humans ; Hypometabolism ; Imaging ; Male ; Medicine ; Medicine & Public Health ; Memory ; Metabolism ; Middle Aged ; Nuclear Medicine ; Oncology ; Original Article ; Orthopedics ; Patients ; Positron emission ; Positron emission tomography ; Predictions ; Radiology ; Retrospective Studies ; Statistical models ; Tomography ; β-Amyloid</subject><ispartof>European journal of nuclear medicine and molecular imaging, 2018-07, Vol.45 (8), p.1442-1448</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>European Journal of Nuclear Medicine and Molecular Imaging is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c339t-319d4d63bc529e30817ece18fc8d3ab77ebff59dabb17baaf9632495be63c9c73</citedby><cites>FETCH-LOGICAL-c339t-319d4d63bc529e30817ece18fc8d3ab77ebff59dabb17baaf9632495be63c9c73</cites><orcidid>0000-0001-9377-8935</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00259-018-3983-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00259-018-3983-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29546632$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Frings, Lars</creatorcontrib><creatorcontrib>Hellwig, Sabine</creatorcontrib><creatorcontrib>Bormann, Tobias</creatorcontrib><creatorcontrib>Spehl, Timo S.</creatorcontrib><creatorcontrib>Buchert, Ralph</creatorcontrib><creatorcontrib>Meyer, Philipp T.</creatorcontrib><title>Amyloid load but not regional glucose metabolism predicts conversion to Alzheimer’s dementia in a memory clinic population</title><title>European journal of nuclear medicine and molecular imaging</title><addtitle>Eur J Nucl Med Mol Imaging</addtitle><addtitle>Eur J Nucl Med Mol Imaging</addtitle><description>Purpose
The value of imaging regional glucose metabolism with [
18
F]FDG PET for the prediction of progression from mild cognitive impairment (MCI) to Alzheimer’s dementia (AD) is controversial. The predictive value of imaging with [
18
F]FDG PET was therefore tested and compared with that of imaging beta-amyloid load with [
11
C]PIB PET in the same memory clinic population of MCI patients.
Methods
Thirty-nine patients with MCI who had undergone [
18
F]FDG as well as [
11
C]PIB PET were identified from a single-centre clinical registry. [
18
F]FDG and [
11
C]PIB PET images were rated as positive or negative for the presence of regional hypometabolism typical of AD and beta-amyloid deposition, respectively. Raters were blinded to the clinical information. Patients were followed clinically for 2.7 ± 1.2 years after PET. Cox proportional hazards models, adjusted for age and sex, were used to test the predictive value of [
18
F]FDG PET, [
11
C]PIB PET, and both in combination.
Results
[
18
F]FDG PET did not significantly predict conversion to AD (
p
> 0.1). By contrast, models including [
11
C]PIB PET only (
p
< 0.05) or both [
18
F]FDG and [
11
C]PIB PET (
p
< 0.05) significantly predicted conversion to AD. The hazard ratio for AD in patients with a positive [
11
C]PIB scan was 10.2 (95% confidence interval 1.3–78.1). The results were confirmed by analysis of semiquantitative measures using normalized [
18
F]FDG uptake and [
11
C]PIB standardized uptake value ratios in AD-typical regions as continuous predictors.
Conclusion
In contrast to [
11
C]PIB PET, [
18
F]FDG PET did not predict conversion from MCI to AD in this clinical patient sample. Therefore, amyloid PET should be preferred for individual prediction and patient counselling in clinical practice.</description><subject>Aged</subject><subject>Alzheimer Disease - complications</subject><subject>Alzheimer Disease - metabolism</subject><subject>Alzheimer's disease</subject><subject>Brain - metabolism</subject><subject>Cardiology</subject><subject>Cognitive ability</subject><subject>Cognitive Dysfunction - etiology</subject><subject>Cognitive Dysfunction - metabolism</subject><subject>Confidence intervals</subject><subject>Conversion</subject><subject>Dementia</subject><subject>Dementia disorders</subject><subject>Female</subject><subject>Fluorine isotopes</subject><subject>Fluorodeoxyglucose F18</subject><subject>Glucose</subject><subject>Glucose - metabolism</subject><subject>Hazards</subject><subject>Humans</subject><subject>Hypometabolism</subject><subject>Imaging</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Memory</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Nuclear Medicine</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Orthopedics</subject><subject>Patients</subject><subject>Positron emission</subject><subject>Positron emission tomography</subject><subject>Predictions</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>Statistical models</subject><subject>Tomography</subject><subject>β-Amyloid</subject><issn>1619-7070</issn><issn>1619-7089</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kMtqGzEUhkVJaBy3D9BNEGQ9rTSam5bGJG0h0E2yFrqccWU0o4mkCThk0dfo6-VJImPXWXWlA_r-_3A-hL5Q8pUS0n6LhJQ1LwjtCsY7VjQf0II2lBct6fjZaW7JBbqMcUsyWHb8I7ooeV01DSsX6GU17Jy3BjsvDVZzwqNPOMDG-lE6vHGz9hHwAEkq72wc8BTAWJ0i1n58ghAziJPHK_f8G-wA4fXP34gNDDAmK7EdsczpwYcd1s6OVuPJT7OTKec-ofNeugifj-8SPdze3K9_FHe_vv9cr-4KzRhPBaPcVKZhStclB0Y62oIG2vW6M0yqtgXV9zU3UinaKil7nk-reK2gYZrrli3R9aF3Cv5xhpjE1s8h3xdFSWjdsKriLFP0QOngYwzQiynYQYadoETsfYuDb5E1ir1v0eTM1bF5VgOYU-Kf4AyUByDmr3ED4X31_1vfAAosjyQ</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>Frings, Lars</creator><creator>Hellwig, Sabine</creator><creator>Bormann, Tobias</creator><creator>Spehl, Timo S.</creator><creator>Buchert, Ralph</creator><creator>Meyer, Philipp T.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0001-9377-8935</orcidid></search><sort><creationdate>20180701</creationdate><title>Amyloid load but not regional glucose metabolism predicts conversion to Alzheimer’s dementia in a memory clinic population</title><author>Frings, Lars ; Hellwig, Sabine ; Bormann, Tobias ; Spehl, Timo S. ; Buchert, Ralph ; Meyer, Philipp T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c339t-319d4d63bc529e30817ece18fc8d3ab77ebff59dabb17baaf9632495be63c9c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aged</topic><topic>Alzheimer Disease - complications</topic><topic>Alzheimer Disease - metabolism</topic><topic>Alzheimer's disease</topic><topic>Brain - metabolism</topic><topic>Cardiology</topic><topic>Cognitive ability</topic><topic>Cognitive Dysfunction - etiology</topic><topic>Cognitive Dysfunction - metabolism</topic><topic>Confidence intervals</topic><topic>Conversion</topic><topic>Dementia</topic><topic>Dementia disorders</topic><topic>Female</topic><topic>Fluorine isotopes</topic><topic>Fluorodeoxyglucose F18</topic><topic>Glucose</topic><topic>Glucose - metabolism</topic><topic>Hazards</topic><topic>Humans</topic><topic>Hypometabolism</topic><topic>Imaging</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Memory</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Nuclear Medicine</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Orthopedics</topic><topic>Patients</topic><topic>Positron emission</topic><topic>Positron emission tomography</topic><topic>Predictions</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>Statistical models</topic><topic>Tomography</topic><topic>β-Amyloid</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Frings, Lars</creatorcontrib><creatorcontrib>Hellwig, Sabine</creatorcontrib><creatorcontrib>Bormann, Tobias</creatorcontrib><creatorcontrib>Spehl, Timo S.</creatorcontrib><creatorcontrib>Buchert, Ralph</creatorcontrib><creatorcontrib>Meyer, Philipp T.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>European journal of nuclear medicine and molecular imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Frings, Lars</au><au>Hellwig, Sabine</au><au>Bormann, Tobias</au><au>Spehl, Timo S.</au><au>Buchert, Ralph</au><au>Meyer, Philipp T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Amyloid load but not regional glucose metabolism predicts conversion to Alzheimer’s dementia in a memory clinic population</atitle><jtitle>European journal of nuclear medicine and molecular imaging</jtitle><stitle>Eur J Nucl Med Mol Imaging</stitle><addtitle>Eur J Nucl Med Mol Imaging</addtitle><date>2018-07-01</date><risdate>2018</risdate><volume>45</volume><issue>8</issue><spage>1442</spage><epage>1448</epage><pages>1442-1448</pages><issn>1619-7070</issn><eissn>1619-7089</eissn><abstract>Purpose
The value of imaging regional glucose metabolism with [
18
F]FDG PET for the prediction of progression from mild cognitive impairment (MCI) to Alzheimer’s dementia (AD) is controversial. The predictive value of imaging with [
18
F]FDG PET was therefore tested and compared with that of imaging beta-amyloid load with [
11
C]PIB PET in the same memory clinic population of MCI patients.
Methods
Thirty-nine patients with MCI who had undergone [
18
F]FDG as well as [
11
C]PIB PET were identified from a single-centre clinical registry. [
18
F]FDG and [
11
C]PIB PET images were rated as positive or negative for the presence of regional hypometabolism typical of AD and beta-amyloid deposition, respectively. Raters were blinded to the clinical information. Patients were followed clinically for 2.7 ± 1.2 years after PET. Cox proportional hazards models, adjusted for age and sex, were used to test the predictive value of [
18
F]FDG PET, [
11
C]PIB PET, and both in combination.
Results
[
18
F]FDG PET did not significantly predict conversion to AD (
p
> 0.1). By contrast, models including [
11
C]PIB PET only (
p
< 0.05) or both [
18
F]FDG and [
11
C]PIB PET (
p
< 0.05) significantly predicted conversion to AD. The hazard ratio for AD in patients with a positive [
11
C]PIB scan was 10.2 (95% confidence interval 1.3–78.1). The results were confirmed by analysis of semiquantitative measures using normalized [
18
F]FDG uptake and [
11
C]PIB standardized uptake value ratios in AD-typical regions as continuous predictors.
Conclusion
In contrast to [
11
C]PIB PET, [
18
F]FDG PET did not predict conversion from MCI to AD in this clinical patient sample. Therefore, amyloid PET should be preferred for individual prediction and patient counselling in clinical practice.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>29546632</pmid><doi>10.1007/s00259-018-3983-6</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-9377-8935</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1619-7070 |
| ispartof | European journal of nuclear medicine and molecular imaging, 2018-07, Vol.45 (8), p.1442-1448 |
| issn | 1619-7070 1619-7089 |
| language | eng |
| recordid | cdi_proquest_journals_2015634493 |
| source | MEDLINE; SpringerLink Journals |
| subjects | Aged Alzheimer Disease - complications Alzheimer Disease - metabolism Alzheimer's disease Brain - metabolism Cardiology Cognitive ability Cognitive Dysfunction - etiology Cognitive Dysfunction - metabolism Confidence intervals Conversion Dementia Dementia disorders Female Fluorine isotopes Fluorodeoxyglucose F18 Glucose Glucose - metabolism Hazards Humans Hypometabolism Imaging Male Medicine Medicine & Public Health Memory Metabolism Middle Aged Nuclear Medicine Oncology Original Article Orthopedics Patients Positron emission Positron emission tomography Predictions Radiology Retrospective Studies Statistical models Tomography β-Amyloid |
| title | Amyloid load but not regional glucose metabolism predicts conversion to Alzheimer’s dementia in a memory clinic population |
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