Oral surgery, oral medicine, oral pathology and oral radiology · 2025
Early detection of acute mandibular osteomyelitis using computed tomography texture analysis.
СтатьяНазвание и аннотация: Перевод в очереди
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Muraoka Hirotaka, Kaneda Takashi, Ito Kotaro, Otsuka Kohei, Tokunaga Satoshi
Аннотация
OBJECTIVES: Early detection of acute suppurative osteomyelitis is difficult in clinical practice. The aim of this study was to evaluate the usefulness of computed tomography (CT) texture analysis in diagnosing acute mandibular osteomyelitis.
MATERIALS AND METHODS: Seventeen patients who complained of severe mandibular pain and underwent CT examinations between July 2018 and September 2023 were included in the study. MaZda ver.3.3 software was used to extract 279 texture features from region of interests (ROIs) on CT images of patients with osteomyelitis (n = 17) and controls (contralateral sides) (n = 17). The acute osteomyelitis sites and controls were compared for each feature, and the 6 features that differed most significantly between groups were selected using Fisher's coefficient. The groups were compared using the Wilcoxon signed-rank test or paired t-test. Significance was set at P < 0.05. Receiver operating characteristic curves were used to evaluate the ability of the CT texture features to detect acute osteomyelitis.
RESULTS: Significant differences in all 6 features were observed between the acute osteomyelitis and controls (P < 0.001). The sensitivity, specificity, accuracy, and area under the curve for detecting acute osteomyelitis were 0.94-1.0, 0.94-1.0, 0.97-1.0, and 0.96-1.0, respectively.
CONCLUSIONS: CT texture analysis may be useful in the early detection of acute mandibular osteomyelitis.
MATERIALS AND METHODS: Seventeen patients who complained of severe mandibular pain and underwent CT examinations between July 2018 and September 2023 were included in the study. MaZda ver.3.3 software was used to extract 279 texture features from region of interests (ROIs) on CT images of patients with osteomyelitis (n = 17) and controls (contralateral sides) (n = 17). The acute osteomyelitis sites and controls were compared for each feature, and the 6 features that differed most significantly between groups were selected using Fisher's coefficient. The groups were compared using the Wilcoxon signed-rank test or paired t-test. Significance was set at P < 0.05. Receiver operating characteristic curves were used to evaluate the ability of the CT texture features to detect acute osteomyelitis.
RESULTS: Significant differences in all 6 features were observed between the acute osteomyelitis and controls (P < 0.001). The sensitivity, specificity, accuracy, and area under the curve for detecting acute osteomyelitis were 0.94-1.0, 0.94-1.0, 0.97-1.0, and 0.96-1.0, respectively.
CONCLUSIONS: CT texture analysis may be useful in the early detection of acute mandibular osteomyelitis.