Journal article
Computer-aided quantification of focal cartilage lesions using MRI: Accuracy and initial arthroscopic comparison
Osteoarthritis and cartilage, v 13(8), pp 728-737
2005
PMID: 15908235
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The purpose of the study was to validate a Gradient Peak Method (GPM) by evaluating its accuracy and consistency at different magnetic field strengths. The GPM using magnetic resonance imaging (MRI) was previously proposed to quantitatively assess the morphology of focal cartilage lesions, and its feasibility was demonstrated.
GPM quantifies the morphologic properties of cartilage lesions based on their three-dimensional geometry. Twenty-two conical and cylindrical lesions were surgically created on fresh porcine knees, and the results obtained by GPM were compared with manually measured lesion dimensions. Another 15 focal lesions of various shapes were created and scanned, and the quantification results were compared at 1.5 Tesla and 3 Tesla. Additionally, cartilage lesions in three patients were scanned, quantified by GPM, and compared with arthroscopic visualization and measurements.
The average absolute errors of GPM (depth: ≤0.4
mm; diameter: ≤1.4
mm) were within twice the in-plane resolution in depth estimates and within the slice thickness in diameter estimates. Analysis also suggested that the quantifications of GPM using 1.5 Tesla and 3 Tesla data were not statistically different. Moreover, the GPM results were shown to be consistent with the lesion measurements obtained arthroscopically.
The GPM using MRI provides estimates of lesion thickness, depth, diameter, and area. With this validation, the method can be potentially used as an auxiliary tool to help radiologists and physicians assess cartilage lesions quantitatively and monitor disease progression.
Metrics
Details
- Title
- Computer-aided quantification of focal cartilage lesions using MRI: Accuracy and initial arthroscopic comparison
- Creators
- Keh-Yang Lee - University of California, San FranciscoJeffrey N. Masi - University of California, San FranciscoChristian A. Sell - University of California, San FranciscoRobert Schier - University of California, San FranciscoThomas M. Link - University of California, San FranciscoLynne S. Steinbach - University of California, San FranciscoMarc Safran - University of California, San FranciscoBenjamin MaSharmila Majumdar - University of California, San Francisco
- Publication Details
- Osteoarthritis and cartilage, v 13(8), pp 728-737
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Biochemistry and Molecular Biology
- Web of Science ID
- WOS:000231213500011
- Scopus ID
- 2-s2.0-22644434622
- Other Identifier
- 991020099212604721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Orthopedics
- Rheumatology