Grading and Interpretation of White Matter Hyperintensities Using Statistical Maps

BACKGROUND AND PURPOSE—We aimed to generate rigorous graphical and statistical reference data based on volumetric measurements for assessing the relative severity of white matter hyperintensities (WMHs) in patients with stroke. METHODS—We prospectively mapped WMHs from 2699 patients with first-ever...

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Veröffentlicht in:Stroke (1970) 2014-12, Vol.45 (12), p.3567-3575
Hauptverfasser: Ryu, Wi-Sun, Woo, Sung-Ho, Schellingerhout, Dawid, Chung, Moo K, Kim, Chi Kyung, Jang, Min Uk, Park, Kyoung-Jong, Hong, Keun-Sik, Jeong, Sang-Wuk, Na, Jeong-Yong, Cho, Ki-Hyun, Kim, Joon-Tae, Kim, Beom Joon, Han, Moon-Ku, Lee, Jun, Cha, Jae-Kwan, Kim, Dae-Hyun, Lee, Soo Joo, Ko, Youngchai, Cho, Yong-Jin, Lee, Byung-Chul, Yu, Kyung-Ho, Oh, Mi-Sun, Park, Jong-Moo, Kang, Kyusik, Lee, Kyung Bok, Park, Tai Hwan, Lee, Juneyoung, Choi, Heung-Kook, Lee, Kiwon, Bae, Hee-Joon, Kim, Dong-Eog
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container_end_page 3575
container_issue 12
container_start_page 3567
container_title Stroke (1970)
container_volume 45
creator Ryu, Wi-Sun
Woo, Sung-Ho
Schellingerhout, Dawid
Chung, Moo K
Kim, Chi Kyung
Jang, Min Uk
Park, Kyoung-Jong
Hong, Keun-Sik
Jeong, Sang-Wuk
Na, Jeong-Yong
Cho, Ki-Hyun
Kim, Joon-Tae
Kim, Beom Joon
Han, Moon-Ku
Lee, Jun
Cha, Jae-Kwan
Kim, Dae-Hyun
Lee, Soo Joo
Ko, Youngchai
Cho, Yong-Jin
Lee, Byung-Chul
Yu, Kyung-Ho
Oh, Mi-Sun
Park, Jong-Moo
Kang, Kyusik
Lee, Kyung Bok
Park, Tai Hwan
Lee, Juneyoung
Choi, Heung-Kook
Lee, Kiwon
Bae, Hee-Joon
Kim, Dong-Eog
description BACKGROUND AND PURPOSE—We aimed to generate rigorous graphical and statistical reference data based on volumetric measurements for assessing the relative severity of white matter hyperintensities (WMHs) in patients with stroke. METHODS—We prospectively mapped WMHs from 2699 patients with first-ever ischemic stroke (mean age=66.8±13.0 years) enrolled consecutively from 11 nationwide stroke centers, from patient (fluid-attenuated-inversion-recovery) MRIs onto a standard brain template set. Using multivariable analyses, we assessed the impact of major (age/hypertension) and minor risk factors on WMH variability. RESULTS—We have produced a large reference data library showing the location and quantity of WMHs as topographical frequency-volume maps. This easy-to-use graphical reference data set allows the quantitative estimation of the severity of WMH as a percentile rank score. For all patients (median age=69 years), multivariable analysis showed that age, hypertension, atrial fibrillation, and left ventricular hypertrophy were independently associated with increasing WMH (0–9.4%, median=0.6%, of the measured brain volume). For younger (≤69) hypertensives (n=819), age and left ventricular hypertrophy were positively associated with WMH. For older (≥70) hypertensives (n=944), age and cholesterol had positive relationships with WMH, whereas diabetes mellitus, hyperlipidemia, and atrial fibrillation had negative relationships with WMH. For younger nonhypertensives (n=578), age and diabetes mellitus were positively related to WMH. For older nonhypertensives (n=328), only age was positively associated with WMH. CONCLUSIONS—We have generated a novel graphical WMH grading (Kim statistical WMH scoring) system, correlated to risk factors and adjusted for age/hypertension. Further studies are required to confirm whether the combined data set allows grading of WMH burden in individual patients and a tailored patient-specific interpretation in ischemic stroke-related clinical practice.
doi_str_mv 10.1161/STROKEAHA.114.006662
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METHODS—We prospectively mapped WMHs from 2699 patients with first-ever ischemic stroke (mean age=66.8±13.0 years) enrolled consecutively from 11 nationwide stroke centers, from patient (fluid-attenuated-inversion-recovery) MRIs onto a standard brain template set. Using multivariable analyses, we assessed the impact of major (age/hypertension) and minor risk factors on WMH variability. RESULTS—We have produced a large reference data library showing the location and quantity of WMHs as topographical frequency-volume maps. This easy-to-use graphical reference data set allows the quantitative estimation of the severity of WMH as a percentile rank score. For all patients (median age=69 years), multivariable analysis showed that age, hypertension, atrial fibrillation, and left ventricular hypertrophy were independently associated with increasing WMH (0–9.4%, median=0.6%, of the measured brain volume). For younger (≤69) hypertensives (n=819), age and left ventricular hypertrophy were positively associated with WMH. For older (≥70) hypertensives (n=944), age and cholesterol had positive relationships with WMH, whereas diabetes mellitus, hyperlipidemia, and atrial fibrillation had negative relationships with WMH. For younger nonhypertensives (n=578), age and diabetes mellitus were positively related to WMH. For older nonhypertensives (n=328), only age was positively associated with WMH. CONCLUSIONS—We have generated a novel graphical WMH grading (Kim statistical WMH scoring) system, correlated to risk factors and adjusted for age/hypertension. Further studies are required to confirm whether the combined data set allows grading of WMH burden in individual patients and a tailored patient-specific interpretation in ischemic stroke-related clinical practice.</description><identifier>ISSN: 0039-2499</identifier><identifier>EISSN: 1524-4628</identifier><identifier>DOI: 10.1161/STROKEAHA.114.006662</identifier><identifier>PMID: 25388424</identifier><identifier>CODEN: SJCCA7</identifier><language>eng</language><publisher>Hagerstown, MD: American Heart Association, Inc</publisher><subject>Aged ; Aged, 80 and over ; Biological and medical sciences ; Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes ; Female ; Humans ; Magnetic Resonance Imaging ; Male ; Medical sciences ; Middle Aged ; Nervous system (semeiology, syndromes) ; Neurology ; Stroke - pathology ; Vascular diseases and vascular malformations of the nervous system ; White Matter - pathology</subject><ispartof>Stroke (1970), 2014-12, Vol.45 (12), p.3567-3575</ispartof><rights>2014 American Heart Association, Inc.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4832-f344efc8955ad3e1f21442ddda01c6de0c3d6c13123a13e6d0d4fd411d4258883</citedby><cites>FETCH-LOGICAL-c4832-f344efc8955ad3e1f21442ddda01c6de0c3d6c13123a13e6d0d4fd411d4258883</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,3674,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=29022099$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25388424$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ryu, Wi-Sun</creatorcontrib><creatorcontrib>Woo, Sung-Ho</creatorcontrib><creatorcontrib>Schellingerhout, Dawid</creatorcontrib><creatorcontrib>Chung, Moo K</creatorcontrib><creatorcontrib>Kim, Chi Kyung</creatorcontrib><creatorcontrib>Jang, Min Uk</creatorcontrib><creatorcontrib>Park, Kyoung-Jong</creatorcontrib><creatorcontrib>Hong, Keun-Sik</creatorcontrib><creatorcontrib>Jeong, Sang-Wuk</creatorcontrib><creatorcontrib>Na, Jeong-Yong</creatorcontrib><creatorcontrib>Cho, Ki-Hyun</creatorcontrib><creatorcontrib>Kim, Joon-Tae</creatorcontrib><creatorcontrib>Kim, Beom Joon</creatorcontrib><creatorcontrib>Han, Moon-Ku</creatorcontrib><creatorcontrib>Lee, Jun</creatorcontrib><creatorcontrib>Cha, Jae-Kwan</creatorcontrib><creatorcontrib>Kim, Dae-Hyun</creatorcontrib><creatorcontrib>Lee, Soo Joo</creatorcontrib><creatorcontrib>Ko, Youngchai</creatorcontrib><creatorcontrib>Cho, Yong-Jin</creatorcontrib><creatorcontrib>Lee, Byung-Chul</creatorcontrib><creatorcontrib>Yu, Kyung-Ho</creatorcontrib><creatorcontrib>Oh, Mi-Sun</creatorcontrib><creatorcontrib>Park, Jong-Moo</creatorcontrib><creatorcontrib>Kang, Kyusik</creatorcontrib><creatorcontrib>Lee, Kyung Bok</creatorcontrib><creatorcontrib>Park, Tai Hwan</creatorcontrib><creatorcontrib>Lee, Juneyoung</creatorcontrib><creatorcontrib>Choi, Heung-Kook</creatorcontrib><creatorcontrib>Lee, Kiwon</creatorcontrib><creatorcontrib>Bae, Hee-Joon</creatorcontrib><creatorcontrib>Kim, Dong-Eog</creatorcontrib><title>Grading and Interpretation of White Matter Hyperintensities Using Statistical Maps</title><title>Stroke (1970)</title><addtitle>Stroke</addtitle><description>BACKGROUND AND PURPOSE—We aimed to generate rigorous graphical and statistical reference data based on volumetric measurements for assessing the relative severity of white matter hyperintensities (WMHs) in patients with stroke. METHODS—We prospectively mapped WMHs from 2699 patients with first-ever ischemic stroke (mean age=66.8±13.0 years) enrolled consecutively from 11 nationwide stroke centers, from patient (fluid-attenuated-inversion-recovery) MRIs onto a standard brain template set. Using multivariable analyses, we assessed the impact of major (age/hypertension) and minor risk factors on WMH variability. RESULTS—We have produced a large reference data library showing the location and quantity of WMHs as topographical frequency-volume maps. This easy-to-use graphical reference data set allows the quantitative estimation of the severity of WMH as a percentile rank score. For all patients (median age=69 years), multivariable analysis showed that age, hypertension, atrial fibrillation, and left ventricular hypertrophy were independently associated with increasing WMH (0–9.4%, median=0.6%, of the measured brain volume). For younger (≤69) hypertensives (n=819), age and left ventricular hypertrophy were positively associated with WMH. For older (≥70) hypertensives (n=944), age and cholesterol had positive relationships with WMH, whereas diabetes mellitus, hyperlipidemia, and atrial fibrillation had negative relationships with WMH. For younger nonhypertensives (n=578), age and diabetes mellitus were positively related to WMH. For older nonhypertensives (n=328), only age was positively associated with WMH. CONCLUSIONS—We have generated a novel graphical WMH grading (Kim statistical WMH scoring) system, correlated to risk factors and adjusted for age/hypertension. Further studies are required to confirm whether the combined data set allows grading of WMH burden in individual patients and a tailored patient-specific interpretation in ischemic stroke-related clinical practice.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes</subject><subject>Female</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Nervous system (semeiology, syndromes)</subject><subject>Neurology</subject><subject>Stroke - pathology</subject><subject>Vascular diseases and vascular malformations of the nervous system</subject><subject>White Matter - pathology</subject><issn>0039-2499</issn><issn>1524-4628</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1LAzEURYMotlb_gchsBDej-XgTMstStBUVQS0uh5i8sdHpzJikiP_elFbduXpc3rn5OIQcM3rOmGQXj08P9zeX49k4RTinVErJd8iQFRxykFztkiGlosw5lOWAHITwRinlQhX7ZMALoRRwGJKHqdfWta-Zbm123Ub0vceoo-varKuz54WLmN3pmBbZ7KtH7xLTBhcdhmwe1s3HNR6iM7pJZB8OyV6tm4BH2zki86vLp8ksv72fXk_Gt7kBJXheCwCsjSqLQluBrOYMgFtrNWVGWqRGWGmYYFxoJlBaaqG2wJgFXiilxIicbc7tffexwhCrpQsGm0a32K1CxZIEDkxISChsUOO7EDzWVe_dUvuvitFqbbP6tZkiVBubqXayvWH1skT7W_rRl4DTLaBD-n7tdWtc-ONKyjkty8SpDffZNclkeG9Wn-irBeomLv5_wzecXY_9</recordid><startdate>201412</startdate><enddate>201412</enddate><creator>Ryu, Wi-Sun</creator><creator>Woo, Sung-Ho</creator><creator>Schellingerhout, Dawid</creator><creator>Chung, Moo K</creator><creator>Kim, Chi Kyung</creator><creator>Jang, Min Uk</creator><creator>Park, Kyoung-Jong</creator><creator>Hong, Keun-Sik</creator><creator>Jeong, Sang-Wuk</creator><creator>Na, Jeong-Yong</creator><creator>Cho, Ki-Hyun</creator><creator>Kim, Joon-Tae</creator><creator>Kim, Beom Joon</creator><creator>Han, Moon-Ku</creator><creator>Lee, Jun</creator><creator>Cha, Jae-Kwan</creator><creator>Kim, Dae-Hyun</creator><creator>Lee, Soo Joo</creator><creator>Ko, Youngchai</creator><creator>Cho, Yong-Jin</creator><creator>Lee, Byung-Chul</creator><creator>Yu, Kyung-Ho</creator><creator>Oh, Mi-Sun</creator><creator>Park, Jong-Moo</creator><creator>Kang, Kyusik</creator><creator>Lee, Kyung Bok</creator><creator>Park, Tai Hwan</creator><creator>Lee, Juneyoung</creator><creator>Choi, Heung-Kook</creator><creator>Lee, Kiwon</creator><creator>Bae, Hee-Joon</creator><creator>Kim, Dong-Eog</creator><general>American Heart Association, Inc</general><general>Lippincott Williams &amp; Wilkins</general><scope>IQODW</scope><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>7X8</scope></search><sort><creationdate>201412</creationdate><title>Grading and Interpretation of White Matter Hyperintensities Using Statistical Maps</title><author>Ryu, Wi-Sun ; Woo, Sung-Ho ; Schellingerhout, Dawid ; Chung, Moo K ; Kim, Chi Kyung ; Jang, Min Uk ; Park, Kyoung-Jong ; Hong, Keun-Sik ; Jeong, Sang-Wuk ; Na, Jeong-Yong ; Cho, Ki-Hyun ; Kim, Joon-Tae ; Kim, Beom Joon ; Han, Moon-Ku ; Lee, Jun ; Cha, Jae-Kwan ; Kim, Dae-Hyun ; Lee, Soo Joo ; Ko, Youngchai ; Cho, Yong-Jin ; Lee, Byung-Chul ; Yu, Kyung-Ho ; Oh, Mi-Sun ; Park, Jong-Moo ; Kang, Kyusik ; Lee, Kyung Bok ; Park, Tai Hwan ; Lee, Juneyoung ; Choi, Heung-Kook ; Lee, Kiwon ; Bae, Hee-Joon ; Kim, Dong-Eog</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4832-f344efc8955ad3e1f21442ddda01c6de0c3d6c13123a13e6d0d4fd411d4258883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes</topic><topic>Female</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Nervous system (semeiology, syndromes)</topic><topic>Neurology</topic><topic>Stroke - pathology</topic><topic>Vascular diseases and vascular malformations of the nervous system</topic><topic>White Matter - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ryu, Wi-Sun</creatorcontrib><creatorcontrib>Woo, Sung-Ho</creatorcontrib><creatorcontrib>Schellingerhout, Dawid</creatorcontrib><creatorcontrib>Chung, Moo K</creatorcontrib><creatorcontrib>Kim, Chi Kyung</creatorcontrib><creatorcontrib>Jang, Min Uk</creatorcontrib><creatorcontrib>Park, Kyoung-Jong</creatorcontrib><creatorcontrib>Hong, Keun-Sik</creatorcontrib><creatorcontrib>Jeong, Sang-Wuk</creatorcontrib><creatorcontrib>Na, Jeong-Yong</creatorcontrib><creatorcontrib>Cho, Ki-Hyun</creatorcontrib><creatorcontrib>Kim, Joon-Tae</creatorcontrib><creatorcontrib>Kim, Beom Joon</creatorcontrib><creatorcontrib>Han, Moon-Ku</creatorcontrib><creatorcontrib>Lee, Jun</creatorcontrib><creatorcontrib>Cha, Jae-Kwan</creatorcontrib><creatorcontrib>Kim, Dae-Hyun</creatorcontrib><creatorcontrib>Lee, Soo Joo</creatorcontrib><creatorcontrib>Ko, Youngchai</creatorcontrib><creatorcontrib>Cho, Yong-Jin</creatorcontrib><creatorcontrib>Lee, Byung-Chul</creatorcontrib><creatorcontrib>Yu, Kyung-Ho</creatorcontrib><creatorcontrib>Oh, Mi-Sun</creatorcontrib><creatorcontrib>Park, Jong-Moo</creatorcontrib><creatorcontrib>Kang, Kyusik</creatorcontrib><creatorcontrib>Lee, Kyung Bok</creatorcontrib><creatorcontrib>Park, Tai Hwan</creatorcontrib><creatorcontrib>Lee, Juneyoung</creatorcontrib><creatorcontrib>Choi, Heung-Kook</creatorcontrib><creatorcontrib>Lee, Kiwon</creatorcontrib><creatorcontrib>Bae, Hee-Joon</creatorcontrib><creatorcontrib>Kim, Dong-Eog</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Stroke (1970)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ryu, Wi-Sun</au><au>Woo, Sung-Ho</au><au>Schellingerhout, Dawid</au><au>Chung, Moo K</au><au>Kim, Chi Kyung</au><au>Jang, Min Uk</au><au>Park, Kyoung-Jong</au><au>Hong, Keun-Sik</au><au>Jeong, Sang-Wuk</au><au>Na, Jeong-Yong</au><au>Cho, Ki-Hyun</au><au>Kim, Joon-Tae</au><au>Kim, Beom Joon</au><au>Han, Moon-Ku</au><au>Lee, Jun</au><au>Cha, Jae-Kwan</au><au>Kim, Dae-Hyun</au><au>Lee, Soo Joo</au><au>Ko, Youngchai</au><au>Cho, Yong-Jin</au><au>Lee, Byung-Chul</au><au>Yu, Kyung-Ho</au><au>Oh, Mi-Sun</au><au>Park, Jong-Moo</au><au>Kang, Kyusik</au><au>Lee, Kyung Bok</au><au>Park, Tai Hwan</au><au>Lee, Juneyoung</au><au>Choi, Heung-Kook</au><au>Lee, Kiwon</au><au>Bae, Hee-Joon</au><au>Kim, Dong-Eog</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Grading and Interpretation of White Matter Hyperintensities Using Statistical Maps</atitle><jtitle>Stroke (1970)</jtitle><addtitle>Stroke</addtitle><date>2014-12</date><risdate>2014</risdate><volume>45</volume><issue>12</issue><spage>3567</spage><epage>3575</epage><pages>3567-3575</pages><issn>0039-2499</issn><eissn>1524-4628</eissn><coden>SJCCA7</coden><abstract>BACKGROUND AND PURPOSE—We aimed to generate rigorous graphical and statistical reference data based on volumetric measurements for assessing the relative severity of white matter hyperintensities (WMHs) in patients with stroke. METHODS—We prospectively mapped WMHs from 2699 patients with first-ever ischemic stroke (mean age=66.8±13.0 years) enrolled consecutively from 11 nationwide stroke centers, from patient (fluid-attenuated-inversion-recovery) MRIs onto a standard brain template set. Using multivariable analyses, we assessed the impact of major (age/hypertension) and minor risk factors on WMH variability. RESULTS—We have produced a large reference data library showing the location and quantity of WMHs as topographical frequency-volume maps. This easy-to-use graphical reference data set allows the quantitative estimation of the severity of WMH as a percentile rank score. For all patients (median age=69 years), multivariable analysis showed that age, hypertension, atrial fibrillation, and left ventricular hypertrophy were independently associated with increasing WMH (0–9.4%, median=0.6%, of the measured brain volume). For younger (≤69) hypertensives (n=819), age and left ventricular hypertrophy were positively associated with WMH. For older (≥70) hypertensives (n=944), age and cholesterol had positive relationships with WMH, whereas diabetes mellitus, hyperlipidemia, and atrial fibrillation had negative relationships with WMH. For younger nonhypertensives (n=578), age and diabetes mellitus were positively related to WMH. For older nonhypertensives (n=328), only age was positively associated with WMH. CONCLUSIONS—We have generated a novel graphical WMH grading (Kim statistical WMH scoring) system, correlated to risk factors and adjusted for age/hypertension. Further studies are required to confirm whether the combined data set allows grading of WMH burden in individual patients and a tailored patient-specific interpretation in ischemic stroke-related clinical practice.</abstract><cop>Hagerstown, MD</cop><pub>American Heart Association, Inc</pub><pmid>25388424</pmid><doi>10.1161/STROKEAHA.114.006662</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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source MEDLINE; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection; American Heart Association; Journals@Ovid Complete
subjects Aged
Aged, 80 and over
Biological and medical sciences
Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes
Female
Humans
Magnetic Resonance Imaging
Male
Medical sciences
Middle Aged
Nervous system (semeiology, syndromes)
Neurology
Stroke - pathology
Vascular diseases and vascular malformations of the nervous system
White Matter - pathology
title Grading and Interpretation of White Matter Hyperintensities Using Statistical Maps
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