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A Novel Screening Method for Scoliosis Using A Bodysuit and 3-dimensional Imaging
A single-center prospective observational study. To clarify the usefulness of a novel scoliosis screening method using a 3-dimensional (3D) human fitting application and a specific bodysuit. Several scoliosis screening methods, such as scoliometer and Moiré topography, are available for detecting sc...
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Published in: | Spine (Philadelphia, Pa. 1976) Pa. 1976), 2023-09, Vol.48 (18), p.1289-1294 |
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creator | Ito, Yusuke Doi, Toru Ohtomo, Nozomu Fujii, Yuki Ono, Kengo Kojima, Eri Yamada, Takayasu Tran, Huy Hoang Goffinet, Francois Endo, Yui Kato, So Matsubayashi, Yoshitaka Tanaka, Sakae Oshima, Yasushi Taniguchi, Yuki |
description | A single-center prospective observational study.
To clarify the usefulness of a novel scoliosis screening method using a 3-dimensional (3D) human fitting application and a specific bodysuit.
Several scoliosis screening methods, such as scoliometer and Moiré topography, are available for detecting scoliosis. In the present study, a novel screening method for scoliosis using a 3D human fitting application and a specific bodysuit was developed.
Patients with scoliosis or suspected scoliosis, non-scoliosis patients, and healthy volunteers were enrolled. They were divided into Non-Scoliosis and Scoliosis groups. The Scoliosis group was further subdivided into Mild-, Moderate-, and Severe-Scoliosis. Patients' characteristics and Z values, which were calculated by a 3D virtual human body model created by a 3D human fitting application and a specific bodysuit to evaluate trunk asymmetry caused by scoliosis, were compared between the Non-Scoliosis and Scoliosis groups or among the Non-, Mild-, Moderate- and Severe-Scoliosis groups. Finally, the optimal cutoff of the Z value was determined to detect moderate to severe scoliosis using receiver operating characteristics (ROC) curve analysis.
A total of 101 patients were included. The Non-Scoliosis group consisted of 47 patients, and the Scoliosis group included 54 patients, with 11, 31, and 12 patients in the Mild-, Moderate-, and Severe-Scoliosis groups, respectively. The Scoliosis group showed a significantly higher Z value than the Non-Scoliosis group. The Moderate- or Severe-Scoliosis group had a significantly higher Z value than the Non- or Mild-Scoliosis group. The ROC curve analysis revealed that the optimal cutoff of the Z value was 19.9 mm (sensitivity, 95.3%; specificity, 58.6%).
A novel scoliosis screening method consisting of a 3D human fitting application and a specific bodysuit may be useful for detecting moderate to severe scoliosis. |
doi_str_mv | 10.1097/BRS.0000000000004658 |
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To clarify the usefulness of a novel scoliosis screening method using a 3-dimensional (3D) human fitting application and a specific bodysuit.
Several scoliosis screening methods, such as scoliometer and Moiré topography, are available for detecting scoliosis. In the present study, a novel screening method for scoliosis using a 3D human fitting application and a specific bodysuit was developed.
Patients with scoliosis or suspected scoliosis, non-scoliosis patients, and healthy volunteers were enrolled. They were divided into Non-Scoliosis and Scoliosis groups. The Scoliosis group was further subdivided into Mild-, Moderate-, and Severe-Scoliosis. Patients' characteristics and Z values, which were calculated by a 3D virtual human body model created by a 3D human fitting application and a specific bodysuit to evaluate trunk asymmetry caused by scoliosis, were compared between the Non-Scoliosis and Scoliosis groups or among the Non-, Mild-, Moderate- and Severe-Scoliosis groups. Finally, the optimal cutoff of the Z value was determined to detect moderate to severe scoliosis using receiver operating characteristics (ROC) curve analysis.
A total of 101 patients were included. The Non-Scoliosis group consisted of 47 patients, and the Scoliosis group included 54 patients, with 11, 31, and 12 patients in the Mild-, Moderate-, and Severe-Scoliosis groups, respectively. The Scoliosis group showed a significantly higher Z value than the Non-Scoliosis group. The Moderate- or Severe-Scoliosis group had a significantly higher Z value than the Non- or Mild-Scoliosis group. The ROC curve analysis revealed that the optimal cutoff of the Z value was 19.9 mm (sensitivity, 95.3%; specificity, 58.6%).
A novel scoliosis screening method consisting of a 3D human fitting application and a specific bodysuit may be useful for detecting moderate to severe scoliosis.</description><identifier>ISSN: 0362-2436</identifier><identifier>EISSN: 1528-1159</identifier><identifier>DOI: 10.1097/BRS.0000000000004658</identifier><identifier>PMID: 37389986</identifier><language>eng</language><publisher>United States: Lippincott Williams & Wilkins</publisher><ispartof>Spine (Philadelphia, Pa. 1976), 2023-09, Vol.48 (18), p.1289-1294</ispartof><rights>Lippincott Williams & Wilkins</rights><rights>Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3015-a303db9d61f51ab7fded719ffd34aaa4a314f2095a9e7231e8500742c1d3a7dc3</cites></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/37389986$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ito, Yusuke</creatorcontrib><creatorcontrib>Doi, Toru</creatorcontrib><creatorcontrib>Ohtomo, Nozomu</creatorcontrib><creatorcontrib>Fujii, Yuki</creatorcontrib><creatorcontrib>Ono, Kengo</creatorcontrib><creatorcontrib>Kojima, Eri</creatorcontrib><creatorcontrib>Yamada, Takayasu</creatorcontrib><creatorcontrib>Tran, Huy Hoang</creatorcontrib><creatorcontrib>Goffinet, Francois</creatorcontrib><creatorcontrib>Endo, Yui</creatorcontrib><creatorcontrib>Kato, So</creatorcontrib><creatorcontrib>Matsubayashi, Yoshitaka</creatorcontrib><creatorcontrib>Tanaka, Sakae</creatorcontrib><creatorcontrib>Oshima, Yasushi</creatorcontrib><creatorcontrib>Taniguchi, Yuki</creatorcontrib><title>A Novel Screening Method for Scoliosis Using A Bodysuit and 3-dimensional Imaging</title><title>Spine (Philadelphia, Pa. 1976)</title><addtitle>Spine (Phila Pa 1976)</addtitle><description>A single-center prospective observational study.
To clarify the usefulness of a novel scoliosis screening method using a 3-dimensional (3D) human fitting application and a specific bodysuit.
Several scoliosis screening methods, such as scoliometer and Moiré topography, are available for detecting scoliosis. In the present study, a novel screening method for scoliosis using a 3D human fitting application and a specific bodysuit was developed.
Patients with scoliosis or suspected scoliosis, non-scoliosis patients, and healthy volunteers were enrolled. They were divided into Non-Scoliosis and Scoliosis groups. The Scoliosis group was further subdivided into Mild-, Moderate-, and Severe-Scoliosis. Patients' characteristics and Z values, which were calculated by a 3D virtual human body model created by a 3D human fitting application and a specific bodysuit to evaluate trunk asymmetry caused by scoliosis, were compared between the Non-Scoliosis and Scoliosis groups or among the Non-, Mild-, Moderate- and Severe-Scoliosis groups. Finally, the optimal cutoff of the Z value was determined to detect moderate to severe scoliosis using receiver operating characteristics (ROC) curve analysis.
A total of 101 patients were included. The Non-Scoliosis group consisted of 47 patients, and the Scoliosis group included 54 patients, with 11, 31, and 12 patients in the Mild-, Moderate-, and Severe-Scoliosis groups, respectively. The Scoliosis group showed a significantly higher Z value than the Non-Scoliosis group. The Moderate- or Severe-Scoliosis group had a significantly higher Z value than the Non- or Mild-Scoliosis group. The ROC curve analysis revealed that the optimal cutoff of the Z value was 19.9 mm (sensitivity, 95.3%; specificity, 58.6%).
A novel scoliosis screening method consisting of a 3D human fitting application and a specific bodysuit may be useful for detecting moderate to severe scoliosis.</description><issn>0362-2436</issn><issn>1528-1159</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpdkElPxDAMhSMEgmH5BwjlyKVDEjdNcxwQm8QitnOVaVymkDaQtIz493RgWIQvluz3PsuPkF3OxpxpdXB4ezdmfyrNZL5CRlyKPOFc6lUyYpCJRKSQbZDNGJ8GUQZcr5MNUJBrnWcjcjOhV_4NHb0rA2Jbt4_0EruZt7TyYRh6V_tYR_oQF6sJPfT2PfZ1R01rKSS2brCNtW-No-eNeRxE22StMi7izrJvkYeT4_ujs-Ti-vT8aHKRlMC4TAwwsFNtM15JbqaqsmgV11VlITXGpAZ4WgmmpdGoBHDMJWMqFSW3YJQtYYvsf3Ffgn_tMXZFU8cSnTMt-j4WIgchlRjeH6Tpl7QMPsaAVfES6saE94KzYhFmMYRZ_A9zsO0tL_TTBu2P6Tu9X-7cuw5DfHb9HEMxQ-O62SdPZSASrZfUZAAzCR9WVn4T</recordid><startdate>20230915</startdate><enddate>20230915</enddate><creator>Ito, Yusuke</creator><creator>Doi, Toru</creator><creator>Ohtomo, Nozomu</creator><creator>Fujii, Yuki</creator><creator>Ono, Kengo</creator><creator>Kojima, Eri</creator><creator>Yamada, Takayasu</creator><creator>Tran, Huy Hoang</creator><creator>Goffinet, Francois</creator><creator>Endo, Yui</creator><creator>Kato, So</creator><creator>Matsubayashi, Yoshitaka</creator><creator>Tanaka, Sakae</creator><creator>Oshima, Yasushi</creator><creator>Taniguchi, Yuki</creator><general>Lippincott Williams & Wilkins</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20230915</creationdate><title>A Novel Screening Method for Scoliosis Using A Bodysuit and 3-dimensional Imaging</title><author>Ito, Yusuke ; Doi, Toru ; Ohtomo, Nozomu ; Fujii, Yuki ; Ono, Kengo ; Kojima, Eri ; Yamada, Takayasu ; Tran, Huy Hoang ; Goffinet, Francois ; Endo, Yui ; Kato, So ; Matsubayashi, Yoshitaka ; Tanaka, Sakae ; Oshima, Yasushi ; Taniguchi, Yuki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3015-a303db9d61f51ab7fded719ffd34aaa4a314f2095a9e7231e8500742c1d3a7dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ito, Yusuke</creatorcontrib><creatorcontrib>Doi, Toru</creatorcontrib><creatorcontrib>Ohtomo, Nozomu</creatorcontrib><creatorcontrib>Fujii, Yuki</creatorcontrib><creatorcontrib>Ono, Kengo</creatorcontrib><creatorcontrib>Kojima, Eri</creatorcontrib><creatorcontrib>Yamada, Takayasu</creatorcontrib><creatorcontrib>Tran, Huy Hoang</creatorcontrib><creatorcontrib>Goffinet, Francois</creatorcontrib><creatorcontrib>Endo, Yui</creatorcontrib><creatorcontrib>Kato, So</creatorcontrib><creatorcontrib>Matsubayashi, Yoshitaka</creatorcontrib><creatorcontrib>Tanaka, Sakae</creatorcontrib><creatorcontrib>Oshima, Yasushi</creatorcontrib><creatorcontrib>Taniguchi, Yuki</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Spine (Philadelphia, Pa. 1976)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ito, Yusuke</au><au>Doi, Toru</au><au>Ohtomo, Nozomu</au><au>Fujii, Yuki</au><au>Ono, Kengo</au><au>Kojima, Eri</au><au>Yamada, Takayasu</au><au>Tran, Huy Hoang</au><au>Goffinet, Francois</au><au>Endo, Yui</au><au>Kato, So</au><au>Matsubayashi, Yoshitaka</au><au>Tanaka, Sakae</au><au>Oshima, Yasushi</au><au>Taniguchi, Yuki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Novel Screening Method for Scoliosis Using A Bodysuit and 3-dimensional Imaging</atitle><jtitle>Spine (Philadelphia, Pa. 1976)</jtitle><addtitle>Spine (Phila Pa 1976)</addtitle><date>2023-09-15</date><risdate>2023</risdate><volume>48</volume><issue>18</issue><spage>1289</spage><epage>1294</epage><pages>1289-1294</pages><issn>0362-2436</issn><eissn>1528-1159</eissn><abstract>A single-center prospective observational study.
To clarify the usefulness of a novel scoliosis screening method using a 3-dimensional (3D) human fitting application and a specific bodysuit.
Several scoliosis screening methods, such as scoliometer and Moiré topography, are available for detecting scoliosis. In the present study, a novel screening method for scoliosis using a 3D human fitting application and a specific bodysuit was developed.
Patients with scoliosis or suspected scoliosis, non-scoliosis patients, and healthy volunteers were enrolled. They were divided into Non-Scoliosis and Scoliosis groups. The Scoliosis group was further subdivided into Mild-, Moderate-, and Severe-Scoliosis. Patients' characteristics and Z values, which were calculated by a 3D virtual human body model created by a 3D human fitting application and a specific bodysuit to evaluate trunk asymmetry caused by scoliosis, were compared between the Non-Scoliosis and Scoliosis groups or among the Non-, Mild-, Moderate- and Severe-Scoliosis groups. Finally, the optimal cutoff of the Z value was determined to detect moderate to severe scoliosis using receiver operating characteristics (ROC) curve analysis.
A total of 101 patients were included. The Non-Scoliosis group consisted of 47 patients, and the Scoliosis group included 54 patients, with 11, 31, and 12 patients in the Mild-, Moderate-, and Severe-Scoliosis groups, respectively. The Scoliosis group showed a significantly higher Z value than the Non-Scoliosis group. The Moderate- or Severe-Scoliosis group had a significantly higher Z value than the Non- or Mild-Scoliosis group. The ROC curve analysis revealed that the optimal cutoff of the Z value was 19.9 mm (sensitivity, 95.3%; specificity, 58.6%).
A novel scoliosis screening method consisting of a 3D human fitting application and a specific bodysuit may be useful for detecting moderate to severe scoliosis.</abstract><cop>United States</cop><pub>Lippincott Williams & Wilkins</pub><pmid>37389986</pmid><doi>10.1097/BRS.0000000000004658</doi><tpages>6</tpages></addata></record> |
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title | A Novel Screening Method for Scoliosis Using A Bodysuit and 3-dimensional Imaging |
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