Standardizing and Classifying Anterior Cruciate Ligament Injuries: An International Multicenter Study Using a Mobile Application
<b>Background/Objectives</b>: This international multicenter study aimed to assess the effectiveness of the Pivot-Shift Meter (PSM) mobile application in diagnosing and classifying anterior cruciate ligament (ACL) injuries, emphasizing the need for standardization to improve diagnostic p...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/15/1/19 |
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| author | Nadia Karina Portillo-Ortíz Luis Raúl Sigala-González Iván René Ramos-Moctezuma Brenda Lizeth Bermúdez Bencomo Brissa Aylin Gomez Salgado Fátima Cristal Ovalle Arias Irene Leal-Berumen Edmundo Berumen-Nafarrate |
| author_facet | Nadia Karina Portillo-Ortíz Luis Raúl Sigala-González Iván René Ramos-Moctezuma Brenda Lizeth Bermúdez Bencomo Brissa Aylin Gomez Salgado Fátima Cristal Ovalle Arias Irene Leal-Berumen Edmundo Berumen-Nafarrate |
| author_sort | Nadia Karina Portillo-Ortíz |
| collection | DOAJ |
| description | <b>Background/Objectives</b>: This international multicenter study aimed to assess the effectiveness of the Pivot-Shift Meter (PSM) mobile application in diagnosing and classifying anterior cruciate ligament (ACL) injuries, emphasizing the need for standardization to improve diagnostic precision and treatment outcomes. <b>Methods</b>: ACL evaluations were conducted by eight experienced orthopedic surgeons across five Latin American countries (Bolivia, Chile, Colombia, Ecuador, and Mexico). The PSM app utilized smartphone gyroscopes and accelerometers to standardize the pivot-shift test. Data analysis from 224 control tests and 399 standardized tests included non-parametric statistical methods, such as the Mann–Whitney U test for group comparisons and chi-square tests for categorical associations, alongside neural network modeling for injury grade classification. <b>Results</b>: Statistical analysis demonstrated significant differences between standardized and control tests, confirming the effectiveness of the standardization. The neural network model achieved high classification accuracy (94.7%), with precision, recall, and F1 scores exceeding 90%. Receiver Operating Characteristic (ROC) analysis yielded an area under the curve of 0.80, indicating reliable diagnostic accuracy. <b>Conclusions</b>: The PSM mobile application, combined with standardized pivot-shift techniques, is a reliable tool for diagnosing and classifying ACL injuries. Its high performance in predicting injury grades makes it a valuable addition to clinical practice for enhancing diagnostic precision and informing treatment planning. |
| format | Article |
| id | doaj-art-cdd0eeeece574b4db6fb3efd1c18931e |
| institution | Kabale University |
| issn | 2075-4418 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj-art-cdd0eeeece574b4db6fb3efd1c18931e2025-01-10T13:16:28ZengMDPI AGDiagnostics2075-44182024-12-011511910.3390/diagnostics15010019Standardizing and Classifying Anterior Cruciate Ligament Injuries: An International Multicenter Study Using a Mobile ApplicationNadia Karina Portillo-Ortíz0Luis Raúl Sigala-González1Iván René Ramos-Moctezuma2Brenda Lizeth Bermúdez Bencomo3Brissa Aylin Gomez Salgado4Fátima Cristal Ovalle Arias5Irene Leal-Berumen6Edmundo Berumen-Nafarrate7Faculty of Medicine and Biomedical Sciences, Universidad Autónoma de Chihuahua (UACH), Chihuahua 31125, MexicoFaculty of Medicine and Biomedical Sciences, Universidad Autónoma de Chihuahua (UACH), Chihuahua 31125, MexicoFaculty of Medicine and Biomedical Sciences, Universidad Autónoma de Chihuahua (UACH), Chihuahua 31125, MexicoFaculty of Medicine and Biomedical Sciences, Universidad Autónoma de Chihuahua (UACH), Chihuahua 31125, MexicoFaculty of Medicine and Biomedical Sciences, Universidad Autónoma de Chihuahua (UACH), Chihuahua 31125, MexicoFaculty of Medicine and Biomedical Sciences, Universidad Autónoma de Chihuahua (UACH), Chihuahua 31125, MexicoFaculty of Medicine and Biomedical Sciences, Universidad Autónoma de Chihuahua (UACH), Chihuahua 31125, MexicoStar Medica Chihuahua Hospital, Perif. de la Juventud 6103, Fracc. El Saucito, Chihuahua 31110, Mexico<b>Background/Objectives</b>: This international multicenter study aimed to assess the effectiveness of the Pivot-Shift Meter (PSM) mobile application in diagnosing and classifying anterior cruciate ligament (ACL) injuries, emphasizing the need for standardization to improve diagnostic precision and treatment outcomes. <b>Methods</b>: ACL evaluations were conducted by eight experienced orthopedic surgeons across five Latin American countries (Bolivia, Chile, Colombia, Ecuador, and Mexico). The PSM app utilized smartphone gyroscopes and accelerometers to standardize the pivot-shift test. Data analysis from 224 control tests and 399 standardized tests included non-parametric statistical methods, such as the Mann–Whitney U test for group comparisons and chi-square tests for categorical associations, alongside neural network modeling for injury grade classification. <b>Results</b>: Statistical analysis demonstrated significant differences between standardized and control tests, confirming the effectiveness of the standardization. The neural network model achieved high classification accuracy (94.7%), with precision, recall, and F1 scores exceeding 90%. Receiver Operating Characteristic (ROC) analysis yielded an area under the curve of 0.80, indicating reliable diagnostic accuracy. <b>Conclusions</b>: The PSM mobile application, combined with standardized pivot-shift techniques, is a reliable tool for diagnosing and classifying ACL injuries. Its high performance in predicting injury grades makes it a valuable addition to clinical practice for enhancing diagnostic precision and informing treatment planning.https://www.mdpi.com/2075-4418/15/1/19anterior cruciate ligament (ACL) injuriespivot-shift testmobile applicationrotational laxity |
| spellingShingle | Nadia Karina Portillo-Ortíz Luis Raúl Sigala-González Iván René Ramos-Moctezuma Brenda Lizeth Bermúdez Bencomo Brissa Aylin Gomez Salgado Fátima Cristal Ovalle Arias Irene Leal-Berumen Edmundo Berumen-Nafarrate Standardizing and Classifying Anterior Cruciate Ligament Injuries: An International Multicenter Study Using a Mobile Application Diagnostics anterior cruciate ligament (ACL) injuries pivot-shift test mobile application rotational laxity |
| title | Standardizing and Classifying Anterior Cruciate Ligament Injuries: An International Multicenter Study Using a Mobile Application |
| title_full | Standardizing and Classifying Anterior Cruciate Ligament Injuries: An International Multicenter Study Using a Mobile Application |
| title_fullStr | Standardizing and Classifying Anterior Cruciate Ligament Injuries: An International Multicenter Study Using a Mobile Application |
| title_full_unstemmed | Standardizing and Classifying Anterior Cruciate Ligament Injuries: An International Multicenter Study Using a Mobile Application |
| title_short | Standardizing and Classifying Anterior Cruciate Ligament Injuries: An International Multicenter Study Using a Mobile Application |
| title_sort | standardizing and classifying anterior cruciate ligament injuries an international multicenter study using a mobile application |
| topic | anterior cruciate ligament (ACL) injuries pivot-shift test mobile application rotational laxity |
| url | https://www.mdpi.com/2075-4418/15/1/19 |
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