A novel quantitative method to evaluate lumbar disc degeneration: MRI histogram analysis
Purpose This study aimed to use MRI histogram analysis to routine MRI sequences to evaluate lumbar disc degeneration (LDD), illustrate the correlation between this novel method and the traditional Pfirrmann classification method, and more importantly, perform comprehensive agreement analysis of MRI...
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| Veröffentlicht in: | European spine journal 2024-06, Vol.33 (6), p.2420-2429 |
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| container_title | European spine journal |
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| creator | Li, Zhaohui Wu, Yurui Liu, Mengyang Miao, Dazhuang Zhang, Di Ding, Wenyuan |
| description | Purpose
This study aimed to use MRI histogram analysis to routine MRI sequences to evaluate lumbar disc degeneration (LDD), illustrate the correlation between this novel method and the traditional Pfirrmann classification method, and more importantly, perform comprehensive agreement analysis of MRI histogram analysis in various situations to evaluate its objectivity and stability.
Methods
Lumbar MRI images from 133 subjects were included in this study. LDD was classified into grades by Pfirrmann classification and was measured as peak separation value by MRI histogram analysis. Correlation analysis between the two methods was performed and cutoff values were determined. In addition, the agreement analysis of peak separation value was performed by intraclass correlation coefficient (ICC) in four scenarios, including inter-resolution, inter-observer, inter-regions of interest (ROI) and inter-slice.
Results
Peak separation values were strongly correlated with Pfirrmann grades (r = − 0.847). The inter-resolution agreements of peak separation value between original image resolution of 2304 × 2304 and compressed image resolutions (1152 × 1152, 576 × 576, 288 × 288) were good to excellent (ICCs were 0.916, 0.876 and 0.822), except 144 × 144 was moderate (ICC = 533). The agreements of inter-observer (ICC = 0.982) and inter-ROI (ICC = 0.915) were excellent. Compared with the mid-sagittal slice, the inter-slice agreements were good for the first adjacent slices (ICCs were 0.826 and 0.844), and moderate to good for the second adjacent slices (ICC = 0.733 and 0.753).
Conclusion
MRI histogram analysis, used in routine MRI sequences, demonstrated a strong correlation with Pfirrmann classification and good agreements in various scenarios, expanding the range of application and providing an effective, objective and quantitative tool to evaluate LDD. |
| doi_str_mv | 10.1007/s00586-024-08279-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3051425463</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3073393148</sourcerecordid><originalsourceid>FETCH-LOGICAL-c326t-30f5d18f54b5a17934a9f7470a946ff9633e9a550a58759dc7eed3011fbd17ac3</originalsourceid><addsrcrecordid>eNp9kEFLHTEQx0Op1Odrv0APEuill9XJJtlsvMnDqqAI0kJvYd7u7HNld6NJ9oHfvtFnLfTgaQbmN_8Zfox9FXAkAMxxBNB1VUCpCqhLY4vqA1sIJcsCrCw_sgVYBUVlhN1nBzHeAwhtofrE9mVtILflgv0-5ZPf0sAfZ5xSnzD1W-IjpTvf8uQ5bXGYMREf5nGNgbd9bHhLG5ooZNZPJ_z69pLf9TH5TcCR44TDU-zjZ7bX4RDpy2tdsl8_zn6uLoqrm_PL1elV0ciySoWETrei7rRaaxTGSoW2M8oAWlV1na2kJItaA-raaNs2hqiVIES3boXBRi7Z913uQ_CPM8XkxvwiDQNO5OfoJGihSq1y0JJ9-w-993PI_z5TRkorhaozVe6oJvgYA3XuIfQjhicnwD17dzvvLnt3L95dlZcOX6Pn9Ujt28pf0RmQOyDm0bSh8O_2O7F_AEMSjT4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3073393148</pqid></control><display><type>article</type><title>A novel quantitative method to evaluate lumbar disc degeneration: MRI histogram analysis</title><source>MEDLINE</source><source>SpringerLink_现刊</source><creator>Li, Zhaohui ; Wu, Yurui ; Liu, Mengyang ; Miao, Dazhuang ; Zhang, Di ; Ding, Wenyuan</creator><creatorcontrib>Li, Zhaohui ; Wu, Yurui ; Liu, Mengyang ; Miao, Dazhuang ; Zhang, Di ; Ding, Wenyuan</creatorcontrib><description>Purpose
This study aimed to use MRI histogram analysis to routine MRI sequences to evaluate lumbar disc degeneration (LDD), illustrate the correlation between this novel method and the traditional Pfirrmann classification method, and more importantly, perform comprehensive agreement analysis of MRI histogram analysis in various situations to evaluate its objectivity and stability.
Methods
Lumbar MRI images from 133 subjects were included in this study. LDD was classified into grades by Pfirrmann classification and was measured as peak separation value by MRI histogram analysis. Correlation analysis between the two methods was performed and cutoff values were determined. In addition, the agreement analysis of peak separation value was performed by intraclass correlation coefficient (ICC) in four scenarios, including inter-resolution, inter-observer, inter-regions of interest (ROI) and inter-slice.
Results
Peak separation values were strongly correlated with Pfirrmann grades (r = − 0.847). The inter-resolution agreements of peak separation value between original image resolution of 2304 × 2304 and compressed image resolutions (1152 × 1152, 576 × 576, 288 × 288) were good to excellent (ICCs were 0.916, 0.876 and 0.822), except 144 × 144 was moderate (ICC = 533). The agreements of inter-observer (ICC = 0.982) and inter-ROI (ICC = 0.915) were excellent. Compared with the mid-sagittal slice, the inter-slice agreements were good for the first adjacent slices (ICCs were 0.826 and 0.844), and moderate to good for the second adjacent slices (ICC = 0.733 and 0.753).
Conclusion
MRI histogram analysis, used in routine MRI sequences, demonstrated a strong correlation with Pfirrmann classification and good agreements in various scenarios, expanding the range of application and providing an effective, objective and quantitative tool to evaluate LDD.</description><identifier>ISSN: 0940-6719</identifier><identifier>ISSN: 1432-0932</identifier><identifier>EISSN: 1432-0932</identifier><identifier>DOI: 10.1007/s00586-024-08279-6</identifier><identifier>PMID: 38705902</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Aged ; Agreements ; Classification ; Correlation analysis ; Degeneration ; Degenerative disc disease ; Female ; Humans ; Image processing ; Intervertebral Disc Degeneration - diagnostic imaging ; Intervertebral discs ; Lumbar Vertebrae - diagnostic imaging ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Neurosurgery ; Original Article ; Surgical Orthopedics ; Young Adult</subject><ispartof>European spine journal, 2024-06, Vol.33 (6), p.2420-2429</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-30f5d18f54b5a17934a9f7470a946ff9633e9a550a58759dc7eed3011fbd17ac3</cites><orcidid>0000-0002-7257-4316</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/s00586-024-08279-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00586-024-08279-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38705902$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Zhaohui</creatorcontrib><creatorcontrib>Wu, Yurui</creatorcontrib><creatorcontrib>Liu, Mengyang</creatorcontrib><creatorcontrib>Miao, Dazhuang</creatorcontrib><creatorcontrib>Zhang, Di</creatorcontrib><creatorcontrib>Ding, Wenyuan</creatorcontrib><title>A novel quantitative method to evaluate lumbar disc degeneration: MRI histogram analysis</title><title>European spine journal</title><addtitle>Eur Spine J</addtitle><addtitle>Eur Spine J</addtitle><description>Purpose
This study aimed to use MRI histogram analysis to routine MRI sequences to evaluate lumbar disc degeneration (LDD), illustrate the correlation between this novel method and the traditional Pfirrmann classification method, and more importantly, perform comprehensive agreement analysis of MRI histogram analysis in various situations to evaluate its objectivity and stability.
Methods
Lumbar MRI images from 133 subjects were included in this study. LDD was classified into grades by Pfirrmann classification and was measured as peak separation value by MRI histogram analysis. Correlation analysis between the two methods was performed and cutoff values were determined. In addition, the agreement analysis of peak separation value was performed by intraclass correlation coefficient (ICC) in four scenarios, including inter-resolution, inter-observer, inter-regions of interest (ROI) and inter-slice.
Results
Peak separation values were strongly correlated with Pfirrmann grades (r = − 0.847). The inter-resolution agreements of peak separation value between original image resolution of 2304 × 2304 and compressed image resolutions (1152 × 1152, 576 × 576, 288 × 288) were good to excellent (ICCs were 0.916, 0.876 and 0.822), except 144 × 144 was moderate (ICC = 533). The agreements of inter-observer (ICC = 0.982) and inter-ROI (ICC = 0.915) were excellent. Compared with the mid-sagittal slice, the inter-slice agreements were good for the first adjacent slices (ICCs were 0.826 and 0.844), and moderate to good for the second adjacent slices (ICC = 0.733 and 0.753).
Conclusion
MRI histogram analysis, used in routine MRI sequences, demonstrated a strong correlation with Pfirrmann classification and good agreements in various scenarios, expanding the range of application and providing an effective, objective and quantitative tool to evaluate LDD.</description><subject>Adult</subject><subject>Aged</subject><subject>Agreements</subject><subject>Classification</subject><subject>Correlation analysis</subject><subject>Degeneration</subject><subject>Degenerative disc disease</subject><subject>Female</subject><subject>Humans</subject><subject>Image processing</subject><subject>Intervertebral Disc Degeneration - diagnostic imaging</subject><subject>Intervertebral discs</subject><subject>Lumbar Vertebrae - diagnostic imaging</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neurosurgery</subject><subject>Original Article</subject><subject>Surgical Orthopedics</subject><subject>Young Adult</subject><issn>0940-6719</issn><issn>1432-0932</issn><issn>1432-0932</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEFLHTEQx0Op1Odrv0APEuill9XJJtlsvMnDqqAI0kJvYd7u7HNld6NJ9oHfvtFnLfTgaQbmN_8Zfox9FXAkAMxxBNB1VUCpCqhLY4vqA1sIJcsCrCw_sgVYBUVlhN1nBzHeAwhtofrE9mVtILflgv0-5ZPf0sAfZ5xSnzD1W-IjpTvf8uQ5bXGYMREf5nGNgbd9bHhLG5ooZNZPJ_z69pLf9TH5TcCR44TDU-zjZ7bX4RDpy2tdsl8_zn6uLoqrm_PL1elV0ciySoWETrei7rRaaxTGSoW2M8oAWlV1na2kJItaA-raaNs2hqiVIES3boXBRi7Z913uQ_CPM8XkxvwiDQNO5OfoJGihSq1y0JJ9-w-993PI_z5TRkorhaozVe6oJvgYA3XuIfQjhicnwD17dzvvLnt3L95dlZcOX6Pn9Ujt28pf0RmQOyDm0bSh8O_2O7F_AEMSjT4</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Li, Zhaohui</creator><creator>Wu, Yurui</creator><creator>Liu, Mengyang</creator><creator>Miao, Dazhuang</creator><creator>Zhang, Di</creator><creator>Ding, Wenyuan</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>7QP</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7257-4316</orcidid></search><sort><creationdate>20240601</creationdate><title>A novel quantitative method to evaluate lumbar disc degeneration: MRI histogram analysis</title><author>Li, Zhaohui ; Wu, Yurui ; Liu, Mengyang ; Miao, Dazhuang ; Zhang, Di ; Ding, Wenyuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-30f5d18f54b5a17934a9f7470a946ff9633e9a550a58759dc7eed3011fbd17ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Agreements</topic><topic>Classification</topic><topic>Correlation analysis</topic><topic>Degeneration</topic><topic>Degenerative disc disease</topic><topic>Female</topic><topic>Humans</topic><topic>Image processing</topic><topic>Intervertebral Disc Degeneration - diagnostic imaging</topic><topic>Intervertebral discs</topic><topic>Lumbar Vertebrae - diagnostic imaging</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neurosurgery</topic><topic>Original Article</topic><topic>Surgical Orthopedics</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Zhaohui</creatorcontrib><creatorcontrib>Wu, Yurui</creatorcontrib><creatorcontrib>Liu, Mengyang</creatorcontrib><creatorcontrib>Miao, Dazhuang</creatorcontrib><creatorcontrib>Zhang, Di</creatorcontrib><creatorcontrib>Ding, Wenyuan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>European spine journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Zhaohui</au><au>Wu, Yurui</au><au>Liu, Mengyang</au><au>Miao, Dazhuang</au><au>Zhang, Di</au><au>Ding, Wenyuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel quantitative method to evaluate lumbar disc degeneration: MRI histogram analysis</atitle><jtitle>European spine journal</jtitle><stitle>Eur Spine J</stitle><addtitle>Eur Spine J</addtitle><date>2024-06-01</date><risdate>2024</risdate><volume>33</volume><issue>6</issue><spage>2420</spage><epage>2429</epage><pages>2420-2429</pages><issn>0940-6719</issn><issn>1432-0932</issn><eissn>1432-0932</eissn><abstract>Purpose
This study aimed to use MRI histogram analysis to routine MRI sequences to evaluate lumbar disc degeneration (LDD), illustrate the correlation between this novel method and the traditional Pfirrmann classification method, and more importantly, perform comprehensive agreement analysis of MRI histogram analysis in various situations to evaluate its objectivity and stability.
Methods
Lumbar MRI images from 133 subjects were included in this study. LDD was classified into grades by Pfirrmann classification and was measured as peak separation value by MRI histogram analysis. Correlation analysis between the two methods was performed and cutoff values were determined. In addition, the agreement analysis of peak separation value was performed by intraclass correlation coefficient (ICC) in four scenarios, including inter-resolution, inter-observer, inter-regions of interest (ROI) and inter-slice.
Results
Peak separation values were strongly correlated with Pfirrmann grades (r = − 0.847). The inter-resolution agreements of peak separation value between original image resolution of 2304 × 2304 and compressed image resolutions (1152 × 1152, 576 × 576, 288 × 288) were good to excellent (ICCs were 0.916, 0.876 and 0.822), except 144 × 144 was moderate (ICC = 533). The agreements of inter-observer (ICC = 0.982) and inter-ROI (ICC = 0.915) were excellent. Compared with the mid-sagittal slice, the inter-slice agreements were good for the first adjacent slices (ICCs were 0.826 and 0.844), and moderate to good for the second adjacent slices (ICC = 0.733 and 0.753).
Conclusion
MRI histogram analysis, used in routine MRI sequences, demonstrated a strong correlation with Pfirrmann classification and good agreements in various scenarios, expanding the range of application and providing an effective, objective and quantitative tool to evaluate LDD.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>38705902</pmid><doi>10.1007/s00586-024-08279-6</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-7257-4316</orcidid></addata></record> |
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| subjects | Adult Aged Agreements Classification Correlation analysis Degeneration Degenerative disc disease Female Humans Image processing Intervertebral Disc Degeneration - diagnostic imaging Intervertebral discs Lumbar Vertebrae - diagnostic imaging Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medicine Medicine & Public Health Middle Aged Neurosurgery Original Article Surgical Orthopedics Young Adult |
| title | A novel quantitative method to evaluate lumbar disc degeneration: MRI histogram analysis |
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