TY - JOUR
T1 - Efficacy of magnetic resonance imaging texture features of the lateral pterygoid muscle in distinguishing rheumatoid arthritis and osteoarthritis of the temporomandibular joint
AU - Muraoka, Hirotaka
AU - Kaneda, Takashi
AU - Hirahara, Naohisa
AU - Ito, Kotaro
AU - Okada, Shunya
AU - Kondo, Takumi
N1 - Publisher Copyright:
© 2022 The Authors. Published by the British Institute of Radiology.
PY - 2023
Y1 - 2023
N2 - Objectives: The aim of this study was to assess whether magnetic resonance imaging (MRI) texture features of the lateral pterygoid muscle can distinguish between rheumatoid arthritis (RA) and osteoarthritis (OA) of the temporomandibular joint (TMJ). Methods: The authors extracted 279 texture features from 36 patients with RA and OA from the region of interest set for the lateral pterygoid muscle on short tau inversion recovery (STIR) images using MaZda Ver.3.3. A total of 10 texture features were selected using Fisher’s coefficients, as well as probability of error and average correlation coefficients. Data observed to have a non-normal distribution using the Kolmogorov–Smirnov test were compared using the Mann–Whitney U-test. Receiver operating characteristic (ROC) curves were used to assess the ability of the 10 texture features to distinguish RA and OA of the TMJ. Results: A total of 10 features (5 Correlation, 3 Run Length Nonuniformity, 1 Sigma, and 1 Teta) were selected from 279 texture features. These texture features revealed significant differences between the RA and OA groups (p < 0.01). The sensitivity, specificity, accuracy, and area under the ROC curve of the texture features for distinguishing RA from OA were 0.78–0.94, 0.89–1.0, 0.86–0.92, and 0.89–0.95, respectively. Conclusion: MRI texture analysis of the lateral pterygoid muscle may be useful for distinguishing between RA and OA of the TMJ.
AB - Objectives: The aim of this study was to assess whether magnetic resonance imaging (MRI) texture features of the lateral pterygoid muscle can distinguish between rheumatoid arthritis (RA) and osteoarthritis (OA) of the temporomandibular joint (TMJ). Methods: The authors extracted 279 texture features from 36 patients with RA and OA from the region of interest set for the lateral pterygoid muscle on short tau inversion recovery (STIR) images using MaZda Ver.3.3. A total of 10 texture features were selected using Fisher’s coefficients, as well as probability of error and average correlation coefficients. Data observed to have a non-normal distribution using the Kolmogorov–Smirnov test were compared using the Mann–Whitney U-test. Receiver operating characteristic (ROC) curves were used to assess the ability of the 10 texture features to distinguish RA and OA of the TMJ. Results: A total of 10 features (5 Correlation, 3 Run Length Nonuniformity, 1 Sigma, and 1 Teta) were selected from 279 texture features. These texture features revealed significant differences between the RA and OA groups (p < 0.01). The sensitivity, specificity, accuracy, and area under the ROC curve of the texture features for distinguishing RA from OA were 0.78–0.94, 0.89–1.0, 0.86–0.92, and 0.89–0.95, respectively. Conclusion: MRI texture analysis of the lateral pterygoid muscle may be useful for distinguishing between RA and OA of the TMJ.
KW - Temporomandibular Joint
KW - magnetic resonance imaging texture analysis
KW - osteoarthritis
KW - rheumatoid arthritis
UR - http://www.scopus.com/inward/record.url?scp=85148479653&partnerID=8YFLogxK
U2 - 10.1259/dmfr.20220321
DO - 10.1259/dmfr.20220321
M3 - Article
C2 - 36594821
AN - SCOPUS:85148479653
SN - 0250-832X
VL - 52
JO - Dentomaxillofacial Radiology
JF - Dentomaxillofacial Radiology
IS - 3
M1 - 20220321
ER -