3D-MRI combined with signal-to-noise ratio measurement can improve the diagnostic accuracy and sensitivity in evaluating meniscal healing status after meniscal repair
Purpose This study compared the diagnostic accuracy of second-look arthroscopy, clinical assessment, and magnetic resonance imaging (MRI) in evaluating meniscal healing following repair. To explore the application of 3D-MRI sequences with signal-to-noise ratio (SNR) measurements and the analysis of...
Gespeichert in:
| Veröffentlicht in: | Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA sports traumatology, arthroscopy : official journal of the ESSKA, 2019-01, Vol.27 (1), p.177-188 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 188 |
|---|---|
| container_issue | 1 |
| container_start_page | 177 |
| container_title | Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA |
| container_volume | 27 |
| creator | Song, Bin Tan, Weiquan Xu, Yue Yu, Taihui Li, Weiping Chen, Zhong Yang, Rui Hou, Jingyi Zhou, Yunfeng |
| description | Purpose
This study compared the diagnostic accuracy of second-look arthroscopy, clinical assessment, and magnetic resonance imaging (MRI) in evaluating meniscal healing following repair. To explore the application of 3D-MRI sequences with signal-to-noise ratio (SNR) measurements and the analysis of sensitivity and accuracy in evaluating meniscal healing status after meniscal repair.
Methods
This study included 75 patients (75 menisci; mean age, 25.4 ± 6.6 years) who underwent arthroscopic meniscal repair (medial menisci, 45; and lateral menisci, 29). Follow-up evaluation included clinical assessment, magnetic resonance imaging (MRI), and second-look arthroscopy (mean follow-up, 10.2 ± 3.4 months). The criteria defined for unhealed menisci were: on arthroscopy, presence of cleft; on clinical assessment, presence of joint-line tenderness, swelling, locking, or positive McMurray test; on MRI, grade III signal intensity at the site of repair. Finally, the SNR on 3D-MRI of the healed and the unhealed groups were compared.
Results
On second-look arthroscopy, 68 (90.7%) menisci were found to be completely healed. With the arthroscopic healing rate as the standard, the clinical healing rate was 69.3% (63 menisci) [sensitivity, 85.7%; specificity, 75.0%; accuracy, 76.0%; positive predictive value (PPV), 26.1%; negative predictive value (NPV), 98.1%]. Similarly, the sensitivity, specificity, accuracy, PPV and NPV, respectively, for MRI in four sequences were as follows: 2D-T2W-Sag: 71.4, 79.4, 78.7, 26.3, and 96.4%; 2D-T2W-Cor: 71.4, 82.4, 81.3, 29.4, and 96.6%; 3D-PDW-Sag: 100.0, 50.0, 54.7, 17.1, and 100.0%; 3D-PDW-Cor: 100.0, 58.8, 62.7, 20.0, and 100.0%. The mean SNRs of the healed group (3D-PDW-Sag, 66.7 ± 11.9; 3D-PDW-Cor, 63.9 ± 12.4) were significantly lesser than that of the unhealed group (3D-PDW-Sag, 89.2 ± 9.6; 3D-PDW-Cor, 82.2 ± 18.5) (
P
|
| doi_str_mv | 10.1007/s00167-018-5018-z |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2075547810</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2073880150</sourcerecordid><originalsourceid>FETCH-LOGICAL-c372t-168539b422db30f1938b16f7ec8a7958c21f8ae749444742c907f2d552b4c013</originalsourceid><addsrcrecordid>eNp1kctu1DAUhi0EokPhAdggS2zYGI4vGSdLVG6VipBQ99GJczLjKnEG25lq-kA8Jx6mUAmJjW35fOfz5WfspYS3EsC-SwBybQXIWlTH4e4RW0mjtbDa2MdsBY1RQkG1PmPPUroBKEvTPGVnGkA3qjEr9lN_EF-_X3I3T50P1PNbn7c8-U3AUeRZhNkn4hGzn_lEmJZIE4XMHQbup12c98TzlnjvcRPmlL3j6NwS0R04hp4nCslnv_f5wH3gtMdxKbKwKbbgk8ORbwnH40bKmJfEccgUH6qRdujjc_ZkwDHRi_v5nF1_-nh98UVcfft8efH-SjhtVRZyXVe66YxSfadhkI2uO7keLLkabVPVTsmhRrKmMcZYo1wDdlB9VanOOJD6nL05acvDfiyUcjuVW9A4YqB5Sa0CW1XG1hIK-vof9GZeYvm135Sua5DVkZInysU5pUhDu4t-wnhoJbTHDNtThm2Jrz1m2N6Vnlf35qWbqP_b8Se0AqgTkEopbCg-HP1_6y-z_6mZ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2073880150</pqid></control><display><type>article</type><title>3D-MRI combined with signal-to-noise ratio measurement can improve the diagnostic accuracy and sensitivity in evaluating meniscal healing status after meniscal repair</title><source>Wiley Online Library Journals Frontfile Complete</source><source>SpringerLink Journals</source><creator>Song, Bin ; Tan, Weiquan ; Xu, Yue ; Yu, Taihui ; Li, Weiping ; Chen, Zhong ; Yang, Rui ; Hou, Jingyi ; Zhou, Yunfeng</creator><creatorcontrib>Song, Bin ; Tan, Weiquan ; Xu, Yue ; Yu, Taihui ; Li, Weiping ; Chen, Zhong ; Yang, Rui ; Hou, Jingyi ; Zhou, Yunfeng</creatorcontrib><description>Purpose
This study compared the diagnostic accuracy of second-look arthroscopy, clinical assessment, and magnetic resonance imaging (MRI) in evaluating meniscal healing following repair. To explore the application of 3D-MRI sequences with signal-to-noise ratio (SNR) measurements and the analysis of sensitivity and accuracy in evaluating meniscal healing status after meniscal repair.
Methods
This study included 75 patients (75 menisci; mean age, 25.4 ± 6.6 years) who underwent arthroscopic meniscal repair (medial menisci, 45; and lateral menisci, 29). Follow-up evaluation included clinical assessment, magnetic resonance imaging (MRI), and second-look arthroscopy (mean follow-up, 10.2 ± 3.4 months). The criteria defined for unhealed menisci were: on arthroscopy, presence of cleft; on clinical assessment, presence of joint-line tenderness, swelling, locking, or positive McMurray test; on MRI, grade III signal intensity at the site of repair. Finally, the SNR on 3D-MRI of the healed and the unhealed groups were compared.
Results
On second-look arthroscopy, 68 (90.7%) menisci were found to be completely healed. With the arthroscopic healing rate as the standard, the clinical healing rate was 69.3% (63 menisci) [sensitivity, 85.7%; specificity, 75.0%; accuracy, 76.0%; positive predictive value (PPV), 26.1%; negative predictive value (NPV), 98.1%]. Similarly, the sensitivity, specificity, accuracy, PPV and NPV, respectively, for MRI in four sequences were as follows: 2D-T2W-Sag: 71.4, 79.4, 78.7, 26.3, and 96.4%; 2D-T2W-Cor: 71.4, 82.4, 81.3, 29.4, and 96.6%; 3D-PDW-Sag: 100.0, 50.0, 54.7, 17.1, and 100.0%; 3D-PDW-Cor: 100.0, 58.8, 62.7, 20.0, and 100.0%. The mean SNRs of the healed group (3D-PDW-Sag, 66.7 ± 11.9; 3D-PDW-Cor, 63.9 ± 12.4) were significantly lesser than that of the unhealed group (3D-PDW-Sag, 89.2 ± 9.6; 3D-PDW-Cor, 82.2 ± 18.5) (
P
< 0.05). Identifying grade 3 meniscal damage on 3D-PDW images prior to applying the different SNR cut-off points revealed SNR values 80 in the sagittal plane and 70 in the coronal plane as having better diagnostic accuracy and sensitivity. The clinical relevance of the study was that 3D-MRI combined with SNR measurement may be a noninvasive and accurate method of assessment clinically, and a reliable alternative to second-look arthroscopy.
Level of evidence
III.</description><identifier>ISSN: 0942-2056</identifier><identifier>EISSN: 1433-7347</identifier><identifier>DOI: 10.1007/s00167-018-5018-z</identifier><identifier>PMID: 30039294</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Accuracy ; Arthroscopy ; Damage detection ; Diagnostic systems ; Healing ; Knee ; Magnetic resonance imaging ; Medical diagnosis ; Medical imaging ; Medicine ; Medicine & Public Health ; Menisci ; Meniscus ; NMR ; Noise measurement ; Nuclear magnetic resonance ; Orthopedics ; Repair ; Resonance ; Sag ; Sensitivity ; Sensitivity analysis ; Signal to noise ratio</subject><ispartof>Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2019-01, Vol.27 (1), p.177-188</ispartof><rights>European Society of Sports Traumatology, Knee Surgery, Arthroscopy (ESSKA) 2018</rights><rights>Knee Surgery, Sports Traumatology, Arthroscopy is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-168539b422db30f1938b16f7ec8a7958c21f8ae749444742c907f2d552b4c013</citedby><cites>FETCH-LOGICAL-c372t-168539b422db30f1938b16f7ec8a7958c21f8ae749444742c907f2d552b4c013</cites><orcidid>0000-0002-4892-470X</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/s00167-018-5018-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00167-018-5018-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30039294$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Song, Bin</creatorcontrib><creatorcontrib>Tan, Weiquan</creatorcontrib><creatorcontrib>Xu, Yue</creatorcontrib><creatorcontrib>Yu, Taihui</creatorcontrib><creatorcontrib>Li, Weiping</creatorcontrib><creatorcontrib>Chen, Zhong</creatorcontrib><creatorcontrib>Yang, Rui</creatorcontrib><creatorcontrib>Hou, Jingyi</creatorcontrib><creatorcontrib>Zhou, Yunfeng</creatorcontrib><title>3D-MRI combined with signal-to-noise ratio measurement can improve the diagnostic accuracy and sensitivity in evaluating meniscal healing status after meniscal repair</title><title>Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA</title><addtitle>Knee Surg Sports Traumatol Arthrosc</addtitle><addtitle>Knee Surg Sports Traumatol Arthrosc</addtitle><description>Purpose
This study compared the diagnostic accuracy of second-look arthroscopy, clinical assessment, and magnetic resonance imaging (MRI) in evaluating meniscal healing following repair. To explore the application of 3D-MRI sequences with signal-to-noise ratio (SNR) measurements and the analysis of sensitivity and accuracy in evaluating meniscal healing status after meniscal repair.
Methods
This study included 75 patients (75 menisci; mean age, 25.4 ± 6.6 years) who underwent arthroscopic meniscal repair (medial menisci, 45; and lateral menisci, 29). Follow-up evaluation included clinical assessment, magnetic resonance imaging (MRI), and second-look arthroscopy (mean follow-up, 10.2 ± 3.4 months). The criteria defined for unhealed menisci were: on arthroscopy, presence of cleft; on clinical assessment, presence of joint-line tenderness, swelling, locking, or positive McMurray test; on MRI, grade III signal intensity at the site of repair. Finally, the SNR on 3D-MRI of the healed and the unhealed groups were compared.
Results
On second-look arthroscopy, 68 (90.7%) menisci were found to be completely healed. With the arthroscopic healing rate as the standard, the clinical healing rate was 69.3% (63 menisci) [sensitivity, 85.7%; specificity, 75.0%; accuracy, 76.0%; positive predictive value (PPV), 26.1%; negative predictive value (NPV), 98.1%]. Similarly, the sensitivity, specificity, accuracy, PPV and NPV, respectively, for MRI in four sequences were as follows: 2D-T2W-Sag: 71.4, 79.4, 78.7, 26.3, and 96.4%; 2D-T2W-Cor: 71.4, 82.4, 81.3, 29.4, and 96.6%; 3D-PDW-Sag: 100.0, 50.0, 54.7, 17.1, and 100.0%; 3D-PDW-Cor: 100.0, 58.8, 62.7, 20.0, and 100.0%. The mean SNRs of the healed group (3D-PDW-Sag, 66.7 ± 11.9; 3D-PDW-Cor, 63.9 ± 12.4) were significantly lesser than that of the unhealed group (3D-PDW-Sag, 89.2 ± 9.6; 3D-PDW-Cor, 82.2 ± 18.5) (
P
< 0.05). Identifying grade 3 meniscal damage on 3D-PDW images prior to applying the different SNR cut-off points revealed SNR values 80 in the sagittal plane and 70 in the coronal plane as having better diagnostic accuracy and sensitivity. The clinical relevance of the study was that 3D-MRI combined with SNR measurement may be a noninvasive and accurate method of assessment clinically, and a reliable alternative to second-look arthroscopy.
Level of evidence
III.</description><subject>Accuracy</subject><subject>Arthroscopy</subject><subject>Damage detection</subject><subject>Diagnostic systems</subject><subject>Healing</subject><subject>Knee</subject><subject>Magnetic resonance imaging</subject><subject>Medical diagnosis</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Menisci</subject><subject>Meniscus</subject><subject>NMR</subject><subject>Noise measurement</subject><subject>Nuclear magnetic resonance</subject><subject>Orthopedics</subject><subject>Repair</subject><subject>Resonance</subject><subject>Sag</subject><subject>Sensitivity</subject><subject>Sensitivity analysis</subject><subject>Signal to noise ratio</subject><issn>0942-2056</issn><issn>1433-7347</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kctu1DAUhi0EokPhAdggS2zYGI4vGSdLVG6VipBQ99GJczLjKnEG25lq-kA8Jx6mUAmJjW35fOfz5WfspYS3EsC-SwBybQXIWlTH4e4RW0mjtbDa2MdsBY1RQkG1PmPPUroBKEvTPGVnGkA3qjEr9lN_EF-_X3I3T50P1PNbn7c8-U3AUeRZhNkn4hGzn_lEmJZIE4XMHQbup12c98TzlnjvcRPmlL3j6NwS0R04hp4nCslnv_f5wH3gtMdxKbKwKbbgk8ORbwnH40bKmJfEccgUH6qRdujjc_ZkwDHRi_v5nF1_-nh98UVcfft8efH-SjhtVRZyXVe66YxSfadhkI2uO7keLLkabVPVTsmhRrKmMcZYo1wDdlB9VanOOJD6nL05acvDfiyUcjuVW9A4YqB5Sa0CW1XG1hIK-vof9GZeYvm135Sua5DVkZInysU5pUhDu4t-wnhoJbTHDNtThm2Jrz1m2N6Vnlf35qWbqP_b8Se0AqgTkEopbCg-HP1_6y-z_6mZ</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Song, Bin</creator><creator>Tan, Weiquan</creator><creator>Xu, Yue</creator><creator>Yu, Taihui</creator><creator>Li, Weiping</creator><creator>Chen, Zhong</creator><creator>Yang, Rui</creator><creator>Hou, Jingyi</creator><creator>Zhou, Yunfeng</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4892-470X</orcidid></search><sort><creationdate>20190101</creationdate><title>3D-MRI combined with signal-to-noise ratio measurement can improve the diagnostic accuracy and sensitivity in evaluating meniscal healing status after meniscal repair</title><author>Song, Bin ; Tan, Weiquan ; Xu, Yue ; Yu, Taihui ; Li, Weiping ; Chen, Zhong ; Yang, Rui ; Hou, Jingyi ; Zhou, Yunfeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-168539b422db30f1938b16f7ec8a7958c21f8ae749444742c907f2d552b4c013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Accuracy</topic><topic>Arthroscopy</topic><topic>Damage detection</topic><topic>Diagnostic systems</topic><topic>Healing</topic><topic>Knee</topic><topic>Magnetic resonance imaging</topic><topic>Medical diagnosis</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Menisci</topic><topic>Meniscus</topic><topic>NMR</topic><topic>Noise measurement</topic><topic>Nuclear magnetic resonance</topic><topic>Orthopedics</topic><topic>Repair</topic><topic>Resonance</topic><topic>Sag</topic><topic>Sensitivity</topic><topic>Sensitivity analysis</topic><topic>Signal to noise ratio</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Song, Bin</creatorcontrib><creatorcontrib>Tan, Weiquan</creatorcontrib><creatorcontrib>Xu, Yue</creatorcontrib><creatorcontrib>Yu, Taihui</creatorcontrib><creatorcontrib>Li, Weiping</creatorcontrib><creatorcontrib>Chen, Zhong</creatorcontrib><creatorcontrib>Yang, Rui</creatorcontrib><creatorcontrib>Hou, Jingyi</creatorcontrib><creatorcontrib>Zhou, Yunfeng</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Song, Bin</au><au>Tan, Weiquan</au><au>Xu, Yue</au><au>Yu, Taihui</au><au>Li, Weiping</au><au>Chen, Zhong</au><au>Yang, Rui</au><au>Hou, Jingyi</au><au>Zhou, Yunfeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>3D-MRI combined with signal-to-noise ratio measurement can improve the diagnostic accuracy and sensitivity in evaluating meniscal healing status after meniscal repair</atitle><jtitle>Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA</jtitle><stitle>Knee Surg Sports Traumatol Arthrosc</stitle><addtitle>Knee Surg Sports Traumatol Arthrosc</addtitle><date>2019-01-01</date><risdate>2019</risdate><volume>27</volume><issue>1</issue><spage>177</spage><epage>188</epage><pages>177-188</pages><issn>0942-2056</issn><eissn>1433-7347</eissn><abstract>Purpose
This study compared the diagnostic accuracy of second-look arthroscopy, clinical assessment, and magnetic resonance imaging (MRI) in evaluating meniscal healing following repair. To explore the application of 3D-MRI sequences with signal-to-noise ratio (SNR) measurements and the analysis of sensitivity and accuracy in evaluating meniscal healing status after meniscal repair.
Methods
This study included 75 patients (75 menisci; mean age, 25.4 ± 6.6 years) who underwent arthroscopic meniscal repair (medial menisci, 45; and lateral menisci, 29). Follow-up evaluation included clinical assessment, magnetic resonance imaging (MRI), and second-look arthroscopy (mean follow-up, 10.2 ± 3.4 months). The criteria defined for unhealed menisci were: on arthroscopy, presence of cleft; on clinical assessment, presence of joint-line tenderness, swelling, locking, or positive McMurray test; on MRI, grade III signal intensity at the site of repair. Finally, the SNR on 3D-MRI of the healed and the unhealed groups were compared.
Results
On second-look arthroscopy, 68 (90.7%) menisci were found to be completely healed. With the arthroscopic healing rate as the standard, the clinical healing rate was 69.3% (63 menisci) [sensitivity, 85.7%; specificity, 75.0%; accuracy, 76.0%; positive predictive value (PPV), 26.1%; negative predictive value (NPV), 98.1%]. Similarly, the sensitivity, specificity, accuracy, PPV and NPV, respectively, for MRI in four sequences were as follows: 2D-T2W-Sag: 71.4, 79.4, 78.7, 26.3, and 96.4%; 2D-T2W-Cor: 71.4, 82.4, 81.3, 29.4, and 96.6%; 3D-PDW-Sag: 100.0, 50.0, 54.7, 17.1, and 100.0%; 3D-PDW-Cor: 100.0, 58.8, 62.7, 20.0, and 100.0%. The mean SNRs of the healed group (3D-PDW-Sag, 66.7 ± 11.9; 3D-PDW-Cor, 63.9 ± 12.4) were significantly lesser than that of the unhealed group (3D-PDW-Sag, 89.2 ± 9.6; 3D-PDW-Cor, 82.2 ± 18.5) (
P
< 0.05). Identifying grade 3 meniscal damage on 3D-PDW images prior to applying the different SNR cut-off points revealed SNR values 80 in the sagittal plane and 70 in the coronal plane as having better diagnostic accuracy and sensitivity. The clinical relevance of the study was that 3D-MRI combined with SNR measurement may be a noninvasive and accurate method of assessment clinically, and a reliable alternative to second-look arthroscopy.
Level of evidence
III.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>30039294</pmid><doi>10.1007/s00167-018-5018-z</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-4892-470X</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0942-2056 |
| ispartof | Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2019-01, Vol.27 (1), p.177-188 |
| issn | 0942-2056 1433-7347 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2075547810 |
| source | Wiley Online Library Journals Frontfile Complete; SpringerLink Journals |
| subjects | Accuracy Arthroscopy Damage detection Diagnostic systems Healing Knee Magnetic resonance imaging Medical diagnosis Medical imaging Medicine Medicine & Public Health Menisci Meniscus NMR Noise measurement Nuclear magnetic resonance Orthopedics Repair Resonance Sag Sensitivity Sensitivity analysis Signal to noise ratio |
| title | 3D-MRI combined with signal-to-noise ratio measurement can improve the diagnostic accuracy and sensitivity in evaluating meniscal healing status after meniscal repair |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-20T12%3A08%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=3D-MRI%20combined%20with%20signal-to-noise%20ratio%20measurement%20can%20improve%20the%20diagnostic%20accuracy%20and%20sensitivity%20in%20evaluating%20meniscal%20healing%20status%20after%20meniscal%20repair&rft.jtitle=Knee%20surgery,%20sports%20traumatology,%20arthroscopy%20:%20official%20journal%20of%20the%20ESSKA&rft.au=Song,%20Bin&rft.date=2019-01-01&rft.volume=27&rft.issue=1&rft.spage=177&rft.epage=188&rft.pages=177-188&rft.issn=0942-2056&rft.eissn=1433-7347&rft_id=info:doi/10.1007/s00167-018-5018-z&rft_dat=%3Cproquest_cross%3E2073880150%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2073880150&rft_id=info:pmid/30039294&rfr_iscdi=true |