Early detection of Alzheimer's disease using MRI hippocampal texture
Cognitive impairment in patients with Alzheimer's disease (AD) is associated with reduction in hippocampal volume in magnetic resonance imaging (MRI). However, it is unknown whether hippocampal texture changes in persons with mild cognitive impairment (MCI) that does not have a change in hippoc...
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| Veröffentlicht in: | Human brain mapping 2016-03, Vol.37 (3), p.1148-1161 |
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| creator | Sørensen, Lauge Igel, Christian Liv Hansen, Naja Osler, Merete Lauritzen, Martin Rostrup, Egill Nielsen, Mads |
| description | Cognitive impairment in patients with Alzheimer's disease (AD) is associated with reduction in hippocampal volume in magnetic resonance imaging (MRI). However, it is unknown whether hippocampal texture changes in persons with mild cognitive impairment (MCI) that does not have a change in hippocampal volume. We tested the hypothesis that hippocampal texture has association to early cognitive loss beyond that of volumetric changes. The texture marker was trained and evaluated using T1‐weighted MRI scans from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, and subsequently applied to score independent data sets from the Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) and the Metropolit 1953 Danish Male Birth Cohort (Metropolit). Hippocampal texture was superior to volume reduction as predictor of MCI‐to‐AD conversion in ADNI (area under the receiver operating characteristic curve [AUC] 0.74 vs 0.67; DeLong test, p = 0.005), and provided even better prognostic results in AIBL (AUC 0.83). Hippocampal texture, but not volume, correlated with Addenbrooke's cognitive examination score (Pearson correlation, r = −0.25, p |
| doi_str_mv | 10.1002/hbm.23091 |
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However, it is unknown whether hippocampal texture changes in persons with mild cognitive impairment (MCI) that does not have a change in hippocampal volume. We tested the hypothesis that hippocampal texture has association to early cognitive loss beyond that of volumetric changes. The texture marker was trained and evaluated using T1‐weighted MRI scans from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, and subsequently applied to score independent data sets from the Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) and the Metropolit 1953 Danish Male Birth Cohort (Metropolit). Hippocampal texture was superior to volume reduction as predictor of MCI‐to‐AD conversion in ADNI (area under the receiver operating characteristic curve [AUC] 0.74 vs 0.67; DeLong test, p = 0.005), and provided even better prognostic results in AIBL (AUC 0.83). Hippocampal texture, but not volume, correlated with Addenbrooke's cognitive examination score (Pearson correlation, r = −0.25, p < 0.001) in the Metropolit cohort. The hippocampal texture marker correlated with hippocampal glucose metabolism as indicated by fluorodeoxyglucose‐positron emission tomography (Pearson correlation, r = −0.57, p < 0.001). Texture statistics remained significant after adjustment for volume in all cases, and the combination of texture and volume did not improve diagnostic or prognostic AUCs significantly. Our study highlights the presence of hippocampal texture abnormalities in MCI, and the possibility that texture may serve as a prognostic neuroimaging biomarker of early cognitive impairment. Hum Brain Mapp 37:1148–1161, 2016. © 2015 Wiley Periodicals, Inc.</description><identifier>ISSN: 1065-9471</identifier><identifier>EISSN: 1097-0193</identifier><identifier>DOI: 10.1002/hbm.23091</identifier><identifier>PMID: 26686837</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Aged ; Alzheimer Disease - diagnosis ; Alzheimer Disease - diagnostic imaging ; Alzheimer Disease - metabolism ; Alzheimer Disease - pathology ; Area Under Curve ; biomarker ; classification ; Cognition ; Cohort Studies ; Databases, Factual ; Early Diagnosis ; Female ; Glucose - metabolism ; hippocampus ; Hippocampus - diagnostic imaging ; Hippocampus - metabolism ; Hippocampus - pathology ; Humans ; image analysis ; Image Interpretation, Computer-Assisted - methods ; machine learning ; magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Middle Aged ; mild cognitive impairment ; Organ Size ; Positron-Emission Tomography ; Prognosis</subject><ispartof>Human brain mapping, 2016-03, Vol.37 (3), p.1148-1161</ispartof><rights>2015 Wiley Periodicals, Inc.</rights><rights>2016 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6867374/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6867374/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,1411,27901,27902,45550,45551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26686837$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sørensen, Lauge</creatorcontrib><creatorcontrib>Igel, Christian</creatorcontrib><creatorcontrib>Liv Hansen, Naja</creatorcontrib><creatorcontrib>Osler, Merete</creatorcontrib><creatorcontrib>Lauritzen, Martin</creatorcontrib><creatorcontrib>Rostrup, Egill</creatorcontrib><creatorcontrib>Nielsen, Mads</creatorcontrib><creatorcontrib>Alzheimer's Disease Neuroimaging Initiative and the Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing</creatorcontrib><title>Early detection of Alzheimer's disease using MRI hippocampal texture</title><title>Human brain mapping</title><addtitle>Hum. Brain Mapp</addtitle><description>Cognitive impairment in patients with Alzheimer's disease (AD) is associated with reduction in hippocampal volume in magnetic resonance imaging (MRI). However, it is unknown whether hippocampal texture changes in persons with mild cognitive impairment (MCI) that does not have a change in hippocampal volume. We tested the hypothesis that hippocampal texture has association to early cognitive loss beyond that of volumetric changes. The texture marker was trained and evaluated using T1‐weighted MRI scans from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, and subsequently applied to score independent data sets from the Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) and the Metropolit 1953 Danish Male Birth Cohort (Metropolit). Hippocampal texture was superior to volume reduction as predictor of MCI‐to‐AD conversion in ADNI (area under the receiver operating characteristic curve [AUC] 0.74 vs 0.67; DeLong test, p = 0.005), and provided even better prognostic results in AIBL (AUC 0.83). Hippocampal texture, but not volume, correlated with Addenbrooke's cognitive examination score (Pearson correlation, r = −0.25, p < 0.001) in the Metropolit cohort. The hippocampal texture marker correlated with hippocampal glucose metabolism as indicated by fluorodeoxyglucose‐positron emission tomography (Pearson correlation, r = −0.57, p < 0.001). Texture statistics remained significant after adjustment for volume in all cases, and the combination of texture and volume did not improve diagnostic or prognostic AUCs significantly. Our study highlights the presence of hippocampal texture abnormalities in MCI, and the possibility that texture may serve as a prognostic neuroimaging biomarker of early cognitive impairment. Hum Brain Mapp 37:1148–1161, 2016. © 2015 Wiley Periodicals, Inc.</description><subject>Aged</subject><subject>Alzheimer Disease - diagnosis</subject><subject>Alzheimer Disease - diagnostic imaging</subject><subject>Alzheimer Disease - metabolism</subject><subject>Alzheimer Disease - pathology</subject><subject>Area Under Curve</subject><subject>biomarker</subject><subject>classification</subject><subject>Cognition</subject><subject>Cohort Studies</subject><subject>Databases, Factual</subject><subject>Early Diagnosis</subject><subject>Female</subject><subject>Glucose - metabolism</subject><subject>hippocampus</subject><subject>Hippocampus - diagnostic imaging</subject><subject>Hippocampus - metabolism</subject><subject>Hippocampus - pathology</subject><subject>Humans</subject><subject>image analysis</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>machine learning</subject><subject>magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Middle Aged</subject><subject>mild cognitive impairment</subject><subject>Organ Size</subject><subject>Positron-Emission Tomography</subject><subject>Prognosis</subject><issn>1065-9471</issn><issn>1097-0193</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU9v1DAQxS0EoqVw4AugSBzgktZjO3ZyQSpt2VbqgrQCwc1y4tmuS_7VTlq2n75Ot6xKT5w80vze0xs_Qt4C3QdK2cGqbPYZpwU8I7tAC5VSKPjzaZZZWggFO-RVCJeUAmQUXpIdJmUuc652yfGJ8fU6sThgNbiuTbplcljfrtA16D-ExLqAJmAyBtdeJPPFWbJyfd9VpulNnQz4Zxg9viYvlqYO-Obh3SM_vpx8PzpNz7_Nzo4Oz1OXUQkpLgGFYAxUbrOirCpeMspszq0qpZLSiiwXLDMSeKVyw8EupQCOxlgoUWR8j3za-PZj2aCtsB28qXXvXWP8WnfG6X83rVvpi-5ax2sVVyIafHww8N3ViGHQjQsV1rVpsRuDBhVjSFFQ9h-oFLIolJzQ90_Qy270bfyJieKKM0FppN49Dr9N_beLCBxsgBtX43q7B6qnknUsWd-XrE8_z--HqEg3ChdiE1uF8b_1dG-mf36d6YU6nmW_5rle8Dueg6ch</recordid><startdate>201603</startdate><enddate>201603</enddate><creator>Sørensen, Lauge</creator><creator>Igel, Christian</creator><creator>Liv Hansen, Naja</creator><creator>Osler, Merete</creator><creator>Lauritzen, Martin</creator><creator>Rostrup, Egill</creator><creator>Nielsen, Mads</creator><general>Blackwell Publishing Ltd</general><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7QR</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201603</creationdate><title>Early detection of Alzheimer's disease using MRI hippocampal texture</title><author>Sørensen, Lauge ; Igel, Christian ; Liv Hansen, Naja ; Osler, Merete ; Lauritzen, Martin ; Rostrup, Egill ; Nielsen, Mads</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i5061-ef1e4422178d59bcc3b202d83d7b6766d458425a613c78a31df6413eaad1be453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Alzheimer Disease - diagnosis</topic><topic>Alzheimer Disease - diagnostic imaging</topic><topic>Alzheimer Disease - metabolism</topic><topic>Alzheimer Disease - pathology</topic><topic>Area Under Curve</topic><topic>biomarker</topic><topic>classification</topic><topic>Cognition</topic><topic>Cohort Studies</topic><topic>Databases, Factual</topic><topic>Early Diagnosis</topic><topic>Female</topic><topic>Glucose - metabolism</topic><topic>hippocampus</topic><topic>Hippocampus - diagnostic imaging</topic><topic>Hippocampus - metabolism</topic><topic>Hippocampus - pathology</topic><topic>Humans</topic><topic>image analysis</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>machine learning</topic><topic>magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Middle Aged</topic><topic>mild cognitive impairment</topic><topic>Organ Size</topic><topic>Positron-Emission Tomography</topic><topic>Prognosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sørensen, Lauge</creatorcontrib><creatorcontrib>Igel, Christian</creatorcontrib><creatorcontrib>Liv Hansen, Naja</creatorcontrib><creatorcontrib>Osler, Merete</creatorcontrib><creatorcontrib>Lauritzen, Martin</creatorcontrib><creatorcontrib>Rostrup, Egill</creatorcontrib><creatorcontrib>Nielsen, Mads</creatorcontrib><creatorcontrib>Alzheimer's Disease Neuroimaging Initiative and the Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human brain mapping</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sørensen, Lauge</au><au>Igel, Christian</au><au>Liv Hansen, Naja</au><au>Osler, Merete</au><au>Lauritzen, Martin</au><au>Rostrup, Egill</au><au>Nielsen, Mads</au><aucorp>Alzheimer's Disease Neuroimaging Initiative and the Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Early detection of Alzheimer's disease using MRI hippocampal texture</atitle><jtitle>Human brain mapping</jtitle><addtitle>Hum. Brain Mapp</addtitle><date>2016-03</date><risdate>2016</risdate><volume>37</volume><issue>3</issue><spage>1148</spage><epage>1161</epage><pages>1148-1161</pages><issn>1065-9471</issn><eissn>1097-0193</eissn><abstract>Cognitive impairment in patients with Alzheimer's disease (AD) is associated with reduction in hippocampal volume in magnetic resonance imaging (MRI). However, it is unknown whether hippocampal texture changes in persons with mild cognitive impairment (MCI) that does not have a change in hippocampal volume. We tested the hypothesis that hippocampal texture has association to early cognitive loss beyond that of volumetric changes. The texture marker was trained and evaluated using T1‐weighted MRI scans from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, and subsequently applied to score independent data sets from the Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) and the Metropolit 1953 Danish Male Birth Cohort (Metropolit). Hippocampal texture was superior to volume reduction as predictor of MCI‐to‐AD conversion in ADNI (area under the receiver operating characteristic curve [AUC] 0.74 vs 0.67; DeLong test, p = 0.005), and provided even better prognostic results in AIBL (AUC 0.83). Hippocampal texture, but not volume, correlated with Addenbrooke's cognitive examination score (Pearson correlation, r = −0.25, p < 0.001) in the Metropolit cohort. The hippocampal texture marker correlated with hippocampal glucose metabolism as indicated by fluorodeoxyglucose‐positron emission tomography (Pearson correlation, r = −0.57, p < 0.001). Texture statistics remained significant after adjustment for volume in all cases, and the combination of texture and volume did not improve diagnostic or prognostic AUCs significantly. Our study highlights the presence of hippocampal texture abnormalities in MCI, and the possibility that texture may serve as a prognostic neuroimaging biomarker of early cognitive impairment. Hum Brain Mapp 37:1148–1161, 2016. © 2015 Wiley Periodicals, Inc.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>26686837</pmid><doi>10.1002/hbm.23091</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Aged Alzheimer Disease - diagnosis Alzheimer Disease - diagnostic imaging Alzheimer Disease - metabolism Alzheimer Disease - pathology Area Under Curve biomarker classification Cognition Cohort Studies Databases, Factual Early Diagnosis Female Glucose - metabolism hippocampus Hippocampus - diagnostic imaging Hippocampus - metabolism Hippocampus - pathology Humans image analysis Image Interpretation, Computer-Assisted - methods machine learning magnetic resonance imaging Magnetic Resonance Imaging - methods Male Middle Aged mild cognitive impairment Organ Size Positron-Emission Tomography Prognosis |
| title | Early detection of Alzheimer's disease using MRI hippocampal texture |
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