Computer-aided quantitative ultrasound algorithm of acromiohumeral distance among individuals with spinal cord injury
Background: Shoulder ultrasound is a well-established point-of-care diagnostic modality in orthopaedic and sports medicine. Despite offering measurements of high-quality morphology, this methodology has faced several challenges, including variability in ultrasound systems, operator dependency, and l...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-03-01
|
| Series: | Frontiers in Physics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2023.1075753/full |
| _version_ | 1797856196657414144 |
|---|---|
| author | Yen-Sheng Lin Yen-Sheng Lin Hyungtaek Kim Hyungtaek Kim Amee L. Seitz Tsung-Yuan Tsai Nitin Jain Nitin Jain |
| author_facet | Yen-Sheng Lin Yen-Sheng Lin Hyungtaek Kim Hyungtaek Kim Amee L. Seitz Tsung-Yuan Tsai Nitin Jain Nitin Jain |
| author_sort | Yen-Sheng Lin |
| collection | DOAJ |
| description | Background: Shoulder ultrasound is a well-established point-of-care diagnostic modality in orthopaedic and sports medicine. Despite offering measurements of high-quality morphology, this methodology has faced several challenges, including variability in ultrasound systems, operator dependency, and lack of reliable and objective quantitative measures to track disease progression and responses to therapeutic interventions. Computer-aided quantitative ultrasound algorithm (CAQUSA) is an emerging novelty that automates the detection of normal and abnormal structures. Although CAQUSA has been shown to improve detections and diagnoses of soft tissue lesions, the proof-of-concept of utilizing CAQUSA to measure subacromial space width and its encroachment to the rotator cuff tendon have not been tested to assist in clinical decision-making for subacromial pain syndrome.Objective: This study aimed to develop a CAQUSA that measured the acromiohumeral distance (AHD) and test the algorithm’s reliability and agreement with manual measurements in wheelchair users with spinal cord injury (SCI).Methods: 116 ultrasound video clips recorded from 10 manual wheelchair users with SCI were evaluated manually by an experienced examiner with expertise in AHD examination and by the CAQUSA, which was developed for bone segmentation with probability mapping. The reliability and agreement of the diagnostic performance between the examiner and the CAQUSA were calculated and compared in both groups of AHD measurements.Results: The CAQUSA achieved a satisfactory agreement between computer-aided (11.95 ± 2.29 mm) and manual (11.33 ± 2.48 mm) measurements. The intraclass correlation coefficient between the two measures was excellent (ICC = 0.95). The sensitivity was 0.2 mm, with 95% true positives and 5% false positives at the fixed threshold of CAQUSA.Conclusion: AHD measurements made by the clinical observer were similar to that of the CAQUSA for assessing the clinical metrics related to subacromial pain syndrome. However, the CAQUSA showed greater reliability in its unclear or misleading image analysis. Based on the findings of this proof-of-concept study, the CAQUSA has promise for clinical utilization and interchangeability to minimize examiner-dependent errors and potentially reduce the cost of care. |
| first_indexed | 2024-04-09T20:36:29Z |
| format | Article |
| id | doaj.art-289b4980232c4f998af5d7f1dfecfa17 |
| institution | Directory Open Access Journal |
| issn | 2296-424X |
| language | English |
| last_indexed | 2024-04-09T20:36:29Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj.art-289b4980232c4f998af5d7f1dfecfa172023-03-30T07:48:17ZengFrontiers Media S.A.Frontiers in Physics2296-424X2023-03-011110.3389/fphy.2023.10757531075753Computer-aided quantitative ultrasound algorithm of acromiohumeral distance among individuals with spinal cord injuryYen-Sheng Lin0Yen-Sheng Lin1Hyungtaek Kim2Hyungtaek Kim3Amee L. Seitz4Tsung-Yuan Tsai5Nitin Jain6Nitin Jain7Department of Orthopedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, United StatesDepartment of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, TX, United StatesDepartment of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, TX, United StatesDepartment of Bioengineering, University of Texas at Dallas, Dallas, TX, United StatesDepartment of Physical Therapy and Human Movement Science, Northwestern University, Chicago, IL, United StatesDepartment of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Orthopedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, United StatesDepartment of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, TX, United StatesBackground: Shoulder ultrasound is a well-established point-of-care diagnostic modality in orthopaedic and sports medicine. Despite offering measurements of high-quality morphology, this methodology has faced several challenges, including variability in ultrasound systems, operator dependency, and lack of reliable and objective quantitative measures to track disease progression and responses to therapeutic interventions. Computer-aided quantitative ultrasound algorithm (CAQUSA) is an emerging novelty that automates the detection of normal and abnormal structures. Although CAQUSA has been shown to improve detections and diagnoses of soft tissue lesions, the proof-of-concept of utilizing CAQUSA to measure subacromial space width and its encroachment to the rotator cuff tendon have not been tested to assist in clinical decision-making for subacromial pain syndrome.Objective: This study aimed to develop a CAQUSA that measured the acromiohumeral distance (AHD) and test the algorithm’s reliability and agreement with manual measurements in wheelchair users with spinal cord injury (SCI).Methods: 116 ultrasound video clips recorded from 10 manual wheelchair users with SCI were evaluated manually by an experienced examiner with expertise in AHD examination and by the CAQUSA, which was developed for bone segmentation with probability mapping. The reliability and agreement of the diagnostic performance between the examiner and the CAQUSA were calculated and compared in both groups of AHD measurements.Results: The CAQUSA achieved a satisfactory agreement between computer-aided (11.95 ± 2.29 mm) and manual (11.33 ± 2.48 mm) measurements. The intraclass correlation coefficient between the two measures was excellent (ICC = 0.95). The sensitivity was 0.2 mm, with 95% true positives and 5% false positives at the fixed threshold of CAQUSA.Conclusion: AHD measurements made by the clinical observer were similar to that of the CAQUSA for assessing the clinical metrics related to subacromial pain syndrome. However, the CAQUSA showed greater reliability in its unclear or misleading image analysis. Based on the findings of this proof-of-concept study, the CAQUSA has promise for clinical utilization and interchangeability to minimize examiner-dependent errors and potentially reduce the cost of care.https://www.frontiersin.org/articles/10.3389/fphy.2023.1075753/fullspinal cord injuryacromiohumeral distanceultrasoundcomputer-aided quantification algorithmshoulderCAQUSA |
| spellingShingle | Yen-Sheng Lin Yen-Sheng Lin Hyungtaek Kim Hyungtaek Kim Amee L. Seitz Tsung-Yuan Tsai Nitin Jain Nitin Jain Computer-aided quantitative ultrasound algorithm of acromiohumeral distance among individuals with spinal cord injury Frontiers in Physics spinal cord injury acromiohumeral distance ultrasound computer-aided quantification algorithm shoulder CAQUSA |
| title | Computer-aided quantitative ultrasound algorithm of acromiohumeral distance among individuals with spinal cord injury |
| title_full | Computer-aided quantitative ultrasound algorithm of acromiohumeral distance among individuals with spinal cord injury |
| title_fullStr | Computer-aided quantitative ultrasound algorithm of acromiohumeral distance among individuals with spinal cord injury |
| title_full_unstemmed | Computer-aided quantitative ultrasound algorithm of acromiohumeral distance among individuals with spinal cord injury |
| title_short | Computer-aided quantitative ultrasound algorithm of acromiohumeral distance among individuals with spinal cord injury |
| title_sort | computer aided quantitative ultrasound algorithm of acromiohumeral distance among individuals with spinal cord injury |
| topic | spinal cord injury acromiohumeral distance ultrasound computer-aided quantification algorithm shoulder CAQUSA |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2023.1075753/full |
| work_keys_str_mv | AT yenshenglin computeraidedquantitativeultrasoundalgorithmofacromiohumeraldistanceamongindividualswithspinalcordinjury AT yenshenglin computeraidedquantitativeultrasoundalgorithmofacromiohumeraldistanceamongindividualswithspinalcordinjury AT hyungtaekkim computeraidedquantitativeultrasoundalgorithmofacromiohumeraldistanceamongindividualswithspinalcordinjury AT hyungtaekkim computeraidedquantitativeultrasoundalgorithmofacromiohumeraldistanceamongindividualswithspinalcordinjury AT ameelseitz computeraidedquantitativeultrasoundalgorithmofacromiohumeraldistanceamongindividualswithspinalcordinjury AT tsungyuantsai computeraidedquantitativeultrasoundalgorithmofacromiohumeraldistanceamongindividualswithspinalcordinjury AT nitinjain computeraidedquantitativeultrasoundalgorithmofacromiohumeraldistanceamongindividualswithspinalcordinjury AT nitinjain computeraidedquantitativeultrasoundalgorithmofacromiohumeraldistanceamongindividualswithspinalcordinjury |