Literature DB >> 32473587

Reliability of a Novel Semiautomated Ultrasound Segmentation Technique for Assessing Average Regional Femoral Articular Cartilage Thickness.

Caroline Lisee, Melanie L McGrath, Christopher Kuenze, Ming Zhang, Matt Salzler, Jeffrey B Driban, Matthew S Harkey.   

Abstract

CONTEXT: Ultrasound imaging is a clinically feasible tool to assess femoral articular cartilage and may have utility in tracking early knee osteoarthritis development. Traditional assessment techniques focus on measurements at a single location, which can be challenging to adopt for novice raters.
OBJECTIVE: To introduce a novel semiautomated ultrasound segmentation technique and determine the intrarater and interrater reliability of average regional femoral articular cartilage thickness and echo intensity of a novice and expert rater.
DESIGN: Descriptive observational study.
SETTING: Orthopedic clinic. PATIENTS OR OTHER PARTICIPANTS: Fifteen participants (mean [SD]; age 23.5 [4.6] y, height = 172.6 [9.3] cm, mass = 79.8 [15.7] kg) with a unilateral history of anterior cruciate ligament reconstruction participated. INTERVENTION: None. MAIN OUTCOME MEASURES: One rater captured anterior femoral cartilage images of the participants' contralateral knees using a transverse suprapatellar ultrasound assessment. The total femoral cartilage cross-sectional area of each image was segmented by a novice and expert rater. A novel custom program automatically separated the cartilage segmentations into medial, lateral, and intercondylar regions to determine the cross-sectional area and cartilage length. The average cartilage thickness in each region was calculated by dividing the cross-sectional area by the cartilage length. Echo intensity was calculated as the average gray-scale pixel value of each region. Two-way random effect intraclass correlations coefficient (ICC) for absolute agreement were used to determine the interrater reliability between a novice and expert rater, as well as the intrarater reliability of the novice rater.
RESULTS: The novice rater demonstrated excellent intrarater (ICC [2,k] range = .993-.997) and interrater (ICC [2,k] range = .944-.991) reliability with the expert rater of all femoral articular cartilage average thickness and echo intensity regions.
CONCLUSIONS: The novel semiautomated average cartilage thickness and echo-intensity assessment is efficient, systematic, and reliable between an expert and novice rater with minimal training.

Entities:  

Keywords:  body region(s); diagnostic ultrasound; discipline area(s); knee; measurement properties; research designs/area(s)

Mesh:

Year:  2020        PMID: 32473587     DOI: 10.1123/jsr.2019-0476

Source DB:  PubMed          Journal:  J Sport Rehabil        ISSN: 1056-6716            Impact factor:   1.931


  4 in total

1.  Validating a Semi-Automated Technique for Segmenting Femoral Articular Cartilage on Ultrasound Images.

Authors:  Matthew S Harkey; Nicholas Michel; Christopher Kuenze; Ryan Fajardo; Matt Salzler; Jeffrey B Driban; Ilker Hacihaliloglu
Journal:  Cartilage       Date:  2022 Apr-Jun       Impact factor: 3.117

2.  Pre-Operative Femoral Cartilage Ultrasound Characteristics Are Altered in People Who Report Symptoms at 1 year After Anterior Cruciate Ligament Reconstruction.

Authors:  Matthew S Harkey; Jeffrey B Driban; Christopher Kuenze; Ming Zhang; Matthew J Salzler
Journal:  Ultrasound Med Biol       Date:  2021-04-27       Impact factor: 3.694

3.  Femoral Cartilage Ultrasound Echo Intensity Associates with Arthroscopic Cartilage Damage.

Authors:  Matthew S Harkey; Erin Little; Mikaela Thompson; Ming Zhang; Jeffrey B Driban; Matthew J Salzler
Journal:  Ultrasound Med Biol       Date:  2020-10-17       Impact factor: 2.998

4.  Longitudinal Changes in Ultrasound-Assessed Femoral Cartilage Thickness in Individuals from 4 to 6 Months Following Anterior Cruciate Ligament Reconstruction.

Authors:  Caroline Lisee; Matthew Harkey; Zachary Walker; Karin Pfeiffer; Tracey Covassin; Jeffrey Kovan; Katharine D Currie; Christopher Kuenze
Journal:  Cartilage       Date:  2021-08-12       Impact factor: 4.634

  4 in total

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