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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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&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 & 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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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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