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Shoulder measurements on MRI: Statistical analysis of patients without and with rotator cuff tears and predictive modeling
This study aims to determine significant differences between various measurements of shoulder structures and relationships in patients with and without rotator cuff tears and identify a subset of these measurements that may merit further investigation. Shoulder MRIs of 120 patients with rotator cuff...
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| Published in: | Clinical anatomy (New York, N.Y.) N.Y.), 2020-03, Vol.33 (2), p.173-186 |
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| container_title | Clinical anatomy (New York, N.Y.) |
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| creator | Matcuk, George R. Moin, Paymann Cen, Steven |
| description | This study aims to determine significant differences between various measurements of shoulder structures and relationships in patients with and without rotator cuff tears and identify a subset of these measurements that may merit further investigation. Shoulder MRIs of 120 patients with rotator cuff tears (RCT group) and 80 patients with normal examinations (No RCT group) were retrospectively identified. Numerous measurements of shoulder anatomy and relationships and pathology characterization were performed for each study. The mean and ranges of measurements for each group were identified, and P‐values were calculated to assess differences between the two groups. Classification and Regression Tree (CART) identified prediction models for separating the two groups based on these shoulder MRI measurements. Statistically significant differences were observed for 9 of 18 of the shoulder measurements between the two groups (P |
| doi_str_mv | 10.1002/ca.23422 |
| format | article |
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Shoulder MRIs of 120 patients with rotator cuff tears (RCT group) and 80 patients with normal examinations (No RCT group) were retrospectively identified. Numerous measurements of shoulder anatomy and relationships and pathology characterization were performed for each study. The mean and ranges of measurements for each group were identified, and P‐values were calculated to assess differences between the two groups. Classification and Regression Tree (CART) identified prediction models for separating the two groups based on these shoulder MRI measurements. Statistically significant differences were observed for 9 of 18 of the shoulder measurements between the two groups (P < 0.05). Using long head of biceps tendon tear, tendinosis, and subacromial–subdeltoid bursal fluid, the prediction model from CART demonstrated 99.5% accuracy in separating the two groups. Subacromial distance, subacromial spur size, and acromioclavicular osteophyte could also separate the two groups with 97.5% accuracy. Other measures less commonly associated with impingement and rotator cuff tears could also be used to separate the two groups with up to 81.5% accuracy. This study introduces new measures and clarifies ranges for existing measurements on shoulder MRI. Abnormalities of some of these measurements may be associated with subacromial impingement, and combinations of these parameters may be useful for separating patients with or without rotator cuff tears. Clin. Anat. 33:173–186, 2020. © 2019 Wiley Periodicals, Inc.</description><identifier>ISSN: 0897-3806</identifier><identifier>EISSN: 1098-2353</identifier><identifier>DOI: 10.1002/ca.23422</identifier><identifier>PMID: 31177567</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Abnormalities ; Accuracy ; anatomy ; Biomedical materials ; Impingement ; Magnetic resonance imaging ; Model accuracy ; morphology ; Prediction models ; Regression analysis ; Rotator cuff ; Shoulder ; shoulder measurements ; Statistical analysis ; Statistical prediction</subject><ispartof>Clinical anatomy (New York, N.Y.), 2020-03, Vol.33 (2), p.173-186</ispartof><rights>2019 Wiley Periodicals, Inc.</rights><rights>2020 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3492-47ae0ce9cab3a2a066c50444136516df5785457cea83c75d976ea4ea3df6879b3</citedby><cites>FETCH-LOGICAL-c3492-47ae0ce9cab3a2a066c50444136516df5785457cea83c75d976ea4ea3df6879b3</cites><orcidid>0000-0002-2858-0794</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31177567$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Matcuk, George R.</creatorcontrib><creatorcontrib>Moin, Paymann</creatorcontrib><creatorcontrib>Cen, Steven</creatorcontrib><title>Shoulder measurements on MRI: Statistical analysis of patients without and with rotator cuff tears and predictive modeling</title><title>Clinical anatomy (New York, N.Y.)</title><addtitle>Clin Anat</addtitle><description>This study aims to determine significant differences between various measurements of shoulder structures and relationships in patients with and without rotator cuff tears and identify a subset of these measurements that may merit further investigation. Shoulder MRIs of 120 patients with rotator cuff tears (RCT group) and 80 patients with normal examinations (No RCT group) were retrospectively identified. Numerous measurements of shoulder anatomy and relationships and pathology characterization were performed for each study. The mean and ranges of measurements for each group were identified, and P‐values were calculated to assess differences between the two groups. Classification and Regression Tree (CART) identified prediction models for separating the two groups based on these shoulder MRI measurements. Statistically significant differences were observed for 9 of 18 of the shoulder measurements between the two groups (P < 0.05). Using long head of biceps tendon tear, tendinosis, and subacromial–subdeltoid bursal fluid, the prediction model from CART demonstrated 99.5% accuracy in separating the two groups. Subacromial distance, subacromial spur size, and acromioclavicular osteophyte could also separate the two groups with 97.5% accuracy. Other measures less commonly associated with impingement and rotator cuff tears could also be used to separate the two groups with up to 81.5% accuracy. This study introduces new measures and clarifies ranges for existing measurements on shoulder MRI. Abnormalities of some of these measurements may be associated with subacromial impingement, and combinations of these parameters may be useful for separating patients with or without rotator cuff tears. Clin. Anat. 33:173–186, 2020. © 2019 Wiley Periodicals, Inc.</description><subject>Abnormalities</subject><subject>Accuracy</subject><subject>anatomy</subject><subject>Biomedical materials</subject><subject>Impingement</subject><subject>Magnetic resonance imaging</subject><subject>Model accuracy</subject><subject>morphology</subject><subject>Prediction models</subject><subject>Regression analysis</subject><subject>Rotator cuff</subject><subject>Shoulder</subject><subject>shoulder measurements</subject><subject>Statistical analysis</subject><subject>Statistical prediction</subject><issn>0897-3806</issn><issn>1098-2353</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kV1LHDEUhkOx1HVb6C-QQG96Mzafk5neyWKtYCmovR7OZs5oZGayJhmX9dcbd7WC4NUJ533OA-El5CtnR5wx8cPCkZBKiA9kxlldFUJquUdmrKpNIStW7pODGG8Z41yZ6hPZl5wbo0szIw-XN37qWwx0QIhTwAHHFKkf6Z-Ls5_0MkFyMTkLPYUR-k10OezoKq-34NqlLEg5bLdvGnw-8YHaqetoQghxm60Cts4md4908C32brz-TD520Ef88jzn5N-vk6vF7-L87-nZ4vi8sFLVolAGkFmsLSwlCGBlaTVTSnFZal62nTaVVtpYhEpao9valAgKQbZdWZl6Kefk-867Cv5uwpiawUWLfQ8j-ik2QiipsiOPOfn2Br31U8j_zpTUgnEpWfUqtMHHGLBrVsENEDYNZ81TH42FZttHRg-fhdNywPY_-FJABoodsHY9bt4VNYvjnfAR7pGT5w</recordid><startdate>202003</startdate><enddate>202003</enddate><creator>Matcuk, George R.</creator><creator>Moin, Paymann</creator><creator>Cen, Steven</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QP</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TS</scope><scope>H94</scope><scope>JQ2</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2858-0794</orcidid></search><sort><creationdate>202003</creationdate><title>Shoulder measurements on MRI: Statistical analysis of patients without and with rotator cuff tears and predictive modeling</title><author>Matcuk, George R. ; Moin, Paymann ; Cen, Steven</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3492-47ae0ce9cab3a2a066c50444136516df5785457cea83c75d976ea4ea3df6879b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Abnormalities</topic><topic>Accuracy</topic><topic>anatomy</topic><topic>Biomedical materials</topic><topic>Impingement</topic><topic>Magnetic resonance imaging</topic><topic>Model accuracy</topic><topic>morphology</topic><topic>Prediction models</topic><topic>Regression analysis</topic><topic>Rotator cuff</topic><topic>Shoulder</topic><topic>shoulder measurements</topic><topic>Statistical analysis</topic><topic>Statistical prediction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Matcuk, George R.</creatorcontrib><creatorcontrib>Moin, Paymann</creatorcontrib><creatorcontrib>Cen, Steven</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Physical Education Index</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical anatomy (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Matcuk, George R.</au><au>Moin, Paymann</au><au>Cen, Steven</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Shoulder measurements on MRI: Statistical analysis of patients without and with rotator cuff tears and predictive modeling</atitle><jtitle>Clinical anatomy (New York, N.Y.)</jtitle><addtitle>Clin Anat</addtitle><date>2020-03</date><risdate>2020</risdate><volume>33</volume><issue>2</issue><spage>173</spage><epage>186</epage><pages>173-186</pages><issn>0897-3806</issn><eissn>1098-2353</eissn><abstract>This study aims to determine significant differences between various measurements of shoulder structures and relationships in patients with and without rotator cuff tears and identify a subset of these measurements that may merit further investigation. 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Subacromial distance, subacromial spur size, and acromioclavicular osteophyte could also separate the two groups with 97.5% accuracy. Other measures less commonly associated with impingement and rotator cuff tears could also be used to separate the two groups with up to 81.5% accuracy. This study introduces new measures and clarifies ranges for existing measurements on shoulder MRI. Abnormalities of some of these measurements may be associated with subacromial impingement, and combinations of these parameters may be useful for separating patients with or without rotator cuff tears. Clin. Anat. 33:173–186, 2020. © 2019 Wiley Periodicals, Inc.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>31177567</pmid><doi>10.1002/ca.23422</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-2858-0794</orcidid></addata></record> |
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| source | Wiley-Blackwell Read & Publish Collection |
| subjects | Abnormalities Accuracy anatomy Biomedical materials Impingement Magnetic resonance imaging Model accuracy morphology Prediction models Regression analysis Rotator cuff Shoulder shoulder measurements Statistical analysis Statistical prediction |
| title | Shoulder measurements on MRI: Statistical analysis of patients without and with rotator cuff tears and predictive modeling |
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