Micro-doppler radar to evaluate risk for musculoskeletal injury: Protocol for a case-control study with gold standard comparison.

<h4>Background</h4>Beyond causing significant morbidity and cost, musculoskeletal injuries (MSKI) are among the most common reasons for primary care visits. A validated injury risk assessment tool for MSKI is conspicuously absent from current care. While motion capture (MC) systems are t...

Full description

Bibliographic Details
Main Authors: Bilal Abou Al Ardat, Jennifer Nyland, Robert Creath, Terrence Murphy, Ram Narayanan, Cayce Onks
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0292675
_version_ 1797637513103278080
author Bilal Abou Al Ardat
Jennifer Nyland
Robert Creath
Terrence Murphy
Ram Narayanan
Cayce Onks
author_facet Bilal Abou Al Ardat
Jennifer Nyland
Robert Creath
Terrence Murphy
Ram Narayanan
Cayce Onks
author_sort Bilal Abou Al Ardat
collection DOAJ
description <h4>Background</h4>Beyond causing significant morbidity and cost, musculoskeletal injuries (MSKI) are among the most common reasons for primary care visits. A validated injury risk assessment tool for MSKI is conspicuously absent from current care. While motion capture (MC) systems are the current gold standard for assessing human motion, their disadvantages include large size, non-portability, high cost, and limited spatial resolution. As an alternative we introduce the Micro Doppler Radar (MDR); in contrast with MC, it is small, portable, inexpensive, and has superior spatial resolution capabilities. While Phase 1 testing has confirmed that MDR can identify individuals at high risk for MSKI, Phase 2 testing is still needed. Our aims are to 1) Use MDR technology and MC to identify individuals at high-risk for MSKI 2) Evaluate whether MDR has diagnostic accuracy superior to MC 3) Develop MDR algorithms that enhance accuracy and enable automation.<h4>Methods and findings</h4>A case control study will compare the movement patterns of 125 ACL reconstruction patients to 125 healthy controls. This study was reviewed and approved by the Pennsylvania State University Human Research Protection Program (HRPP) on May 18, 2022, and the IRB approval number is STUDY00020118. The ACL group is used as a model for a "high risk" population as up to 24% will have a repeat surgery within 2 years. An 8-camera Motion Analysis MC system with Cortex 8 software to collect MC data. Components for the radar technology will be purchased, assembled, and packaged. A micro-doppler signature projection algorithm will determine correct classification of ACL versus healthy control. Our previously tested algorithm for processing the MDR data will be used to identify the two groups. Discrimination, sensitivity and specificity will be calculated to compare the accuracy of MDR to MC in identifying the two groups.<h4>Conclusions</h4>We describe the rationale and methodology of a case-control study using novel MDR technology to detect individuals at high-risk for MSKI. We expect this novel approach to exhibit superior accuracy than the current gold standard. Future translational studies will determine utility in the context of clinical primary care.
first_indexed 2024-03-11T12:49:39Z
format Article
id doaj.art-451ac79dafc6491ba7d2f01dbca4f088
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-03-11T12:49:39Z
publishDate 2023-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-451ac79dafc6491ba7d2f01dbca4f0882023-11-04T05:33:15ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-011810e029267510.1371/journal.pone.0292675Micro-doppler radar to evaluate risk for musculoskeletal injury: Protocol for a case-control study with gold standard comparison.Bilal Abou Al ArdatJennifer NylandRobert CreathTerrence MurphyRam NarayananCayce Onks<h4>Background</h4>Beyond causing significant morbidity and cost, musculoskeletal injuries (MSKI) are among the most common reasons for primary care visits. A validated injury risk assessment tool for MSKI is conspicuously absent from current care. While motion capture (MC) systems are the current gold standard for assessing human motion, their disadvantages include large size, non-portability, high cost, and limited spatial resolution. As an alternative we introduce the Micro Doppler Radar (MDR); in contrast with MC, it is small, portable, inexpensive, and has superior spatial resolution capabilities. While Phase 1 testing has confirmed that MDR can identify individuals at high risk for MSKI, Phase 2 testing is still needed. Our aims are to 1) Use MDR technology and MC to identify individuals at high-risk for MSKI 2) Evaluate whether MDR has diagnostic accuracy superior to MC 3) Develop MDR algorithms that enhance accuracy and enable automation.<h4>Methods and findings</h4>A case control study will compare the movement patterns of 125 ACL reconstruction patients to 125 healthy controls. This study was reviewed and approved by the Pennsylvania State University Human Research Protection Program (HRPP) on May 18, 2022, and the IRB approval number is STUDY00020118. The ACL group is used as a model for a "high risk" population as up to 24% will have a repeat surgery within 2 years. An 8-camera Motion Analysis MC system with Cortex 8 software to collect MC data. Components for the radar technology will be purchased, assembled, and packaged. A micro-doppler signature projection algorithm will determine correct classification of ACL versus healthy control. Our previously tested algorithm for processing the MDR data will be used to identify the two groups. Discrimination, sensitivity and specificity will be calculated to compare the accuracy of MDR to MC in identifying the two groups.<h4>Conclusions</h4>We describe the rationale and methodology of a case-control study using novel MDR technology to detect individuals at high-risk for MSKI. We expect this novel approach to exhibit superior accuracy than the current gold standard. Future translational studies will determine utility in the context of clinical primary care.https://doi.org/10.1371/journal.pone.0292675
spellingShingle Bilal Abou Al Ardat
Jennifer Nyland
Robert Creath
Terrence Murphy
Ram Narayanan
Cayce Onks
Micro-doppler radar to evaluate risk for musculoskeletal injury: Protocol for a case-control study with gold standard comparison.
PLoS ONE
title Micro-doppler radar to evaluate risk for musculoskeletal injury: Protocol for a case-control study with gold standard comparison.
title_full Micro-doppler radar to evaluate risk for musculoskeletal injury: Protocol for a case-control study with gold standard comparison.
title_fullStr Micro-doppler radar to evaluate risk for musculoskeletal injury: Protocol for a case-control study with gold standard comparison.
title_full_unstemmed Micro-doppler radar to evaluate risk for musculoskeletal injury: Protocol for a case-control study with gold standard comparison.
title_short Micro-doppler radar to evaluate risk for musculoskeletal injury: Protocol for a case-control study with gold standard comparison.
title_sort micro doppler radar to evaluate risk for musculoskeletal injury protocol for a case control study with gold standard comparison
url https://doi.org/10.1371/journal.pone.0292675
work_keys_str_mv AT bilalaboualardat microdopplerradartoevaluateriskformusculoskeletalinjuryprotocolforacasecontrolstudywithgoldstandardcomparison
AT jennifernyland microdopplerradartoevaluateriskformusculoskeletalinjuryprotocolforacasecontrolstudywithgoldstandardcomparison
AT robertcreath microdopplerradartoevaluateriskformusculoskeletalinjuryprotocolforacasecontrolstudywithgoldstandardcomparison
AT terrencemurphy microdopplerradartoevaluateriskformusculoskeletalinjuryprotocolforacasecontrolstudywithgoldstandardcomparison
AT ramnarayanan microdopplerradartoevaluateriskformusculoskeletalinjuryprotocolforacasecontrolstudywithgoldstandardcomparison
AT cayceonks microdopplerradartoevaluateriskformusculoskeletalinjuryprotocolforacasecontrolstudywithgoldstandardcomparison