TY - JOUR
T1 - Magnetic resonance imaging texture analysis in the quantitative evaluation of acute osteomyelitis of the mandibular bone
AU - Muraoka, Hirotaka
AU - Ito, Kotaro
AU - Hirahara, Naohisa
AU - Ichiki, Shungo
AU - Kondo, Takumi
AU - Kaneda, Takashi
N1 - Publisher Copyright:
© 2022 The Authors. Published by the British Institute of Radiology
PY - 2022
Y1 - 2022
N2 - Objectives: Accurate assessment of radiological images can help in early diagnosis and therapy of suppurative osteomyelitis (OM). The purpose of this study was to apply texture analysis to MRI as a means of quantitatively evaluating acute OM of the mandible. Methods: We analyzed the data from 38 patients who complained of pain and underwent MRI between April 2017 and March 2019. From the MRIs of these patients, with (n = 19) and without OM (n = 19), 279 radiomics features were extracted using short tau inversion recovery, data of the regions of interest and analyzed with MaZda v. 3.3. 10 features, including one histogram feature (90th percentile), eight gray-level co-occurrence matrix features (Sum Averg), and one gray-level run-length matrix feature (Horzl_RLNonUni), were selected using Fisher coefficient and compared between the acute OM and non-OM groups. The two groups were compared using Mann-Whitney U test with p value set at 0.05. Results: All 10 radiomics features showed significant differences between the acute OM and non-OM groups (p < 0.05). Conclusions: MRI texture analysis has potential application in radiomics diagnosis of acute OM of the mandible.
AB - Objectives: Accurate assessment of radiological images can help in early diagnosis and therapy of suppurative osteomyelitis (OM). The purpose of this study was to apply texture analysis to MRI as a means of quantitatively evaluating acute OM of the mandible. Methods: We analyzed the data from 38 patients who complained of pain and underwent MRI between April 2017 and March 2019. From the MRIs of these patients, with (n = 19) and without OM (n = 19), 279 radiomics features were extracted using short tau inversion recovery, data of the regions of interest and analyzed with MaZda v. 3.3. 10 features, including one histogram feature (90th percentile), eight gray-level co-occurrence matrix features (Sum Averg), and one gray-level run-length matrix feature (Horzl_RLNonUni), were selected using Fisher coefficient and compared between the acute OM and non-OM groups. The two groups were compared using Mann-Whitney U test with p value set at 0.05. Results: All 10 radiomics features showed significant differences between the acute OM and non-OM groups (p < 0.05). Conclusions: MRI texture analysis has potential application in radiomics diagnosis of acute OM of the mandible.
KW - Magnetic resonance imaging
KW - Mandible
KW - Osteomyelitis
KW - Quantitative assessment
UR - http://www.scopus.com/inward/record.url?scp=85122351796&partnerID=8YFLogxK
U2 - 10.1259/DMFR.20210321
DO - 10.1259/DMFR.20210321
M3 - Article
C2 - 34558304
AN - SCOPUS:85122351796
SN - 0250-832X
VL - 51
JO - Dentomaxillofacial Radiology
JF - Dentomaxillofacial Radiology
IS - 1
M1 - 20210321
ER -