Quantitative assessment of the maxillary sinusitis using computed tomography texture analysis: odontogenic vs non-odontogenic etiology

Quantitative assessment of the maxillary sinusitis using computed tomography texture analysis: odontogenic vs non-odontogenic etiology
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DOI:
10.1007/s11282-021-00558-y
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发表时间:
2021-07-29
期刊:
影响因子:
2.2
通讯作者:
Kaneda, Takashi
Kaneda, Takashi
中科院分区:
医学4区
文献类型:
--
作者:
Ito, Kotaro;Kondo, Takumi;Kaneda, Takashi

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目的探讨上颌窦粘膜增厚的CT纹理特征,以鉴别牙源性上颌窦炎(odontogenic magnesiumsillinesisOMS)和非牙源性上颌窦炎(non-odontogenic magnesiumsillinesisNOMS)。方法回顾性分析18例OMS患者和18例年龄、性别匹配的NOMS患者的鼻窦CT资料。OMS患者通过手术切除的组织的组织病理学检查结合CT成像结果来确定。上颌窦粘膜增厚而CT无根尖周炎或上颌窦附近有晚期牙周骨缺损的患者被定义为NOMS。排除了粘膜增厚(< 10 mm)、囊肿、肿瘤、术后畸形、严重金属伪影妨碍上颌窦可视化以及年龄小于20岁的患者。使用内部开发的基于Matlab的纹理分析程序分析粘膜增厚的CT纹理特征。从每个分割体积中提取45个纹理特征。结果用Mann-Whitney U检验进行检验。结果OMS与NOMS患者的6个直方图特征(均值、中位数、标准差、熵、几何均值、调和均值)和2个灰度共生矩阵特征(熵、相关性)差异有统计学意义。结论CT纹理分析揭示了OMS与NOMS的定量差异。纹理特征可以作为上颌窦炎的定量指标,以区分OMS和NOMS,并有助于防止不正确的治疗选择。
Objectives The purpose of this study was to investigate computed tomography (CT) texture features of mucosal thickening of maxillary sinus mucosa to differentiate odontogenic maxillary sinusitis (OMS) from non-odontogenic maxillary sinusitis (NOMS). Methods Eighteen OMS patients and age- and gender-matched 18 NOMS patients who underwent sinus CT were retrospectively reviewed. OMS patients were identified by histopathological examination of tissues excised at surgery combined with CT imaging findings. Patients with mucosal thickening in the maxillary sinus without apical periodontitis or advanced periodontal bone loss near the maxillary sinus on CT were defined as NOMS. Patients with thin mucosal thickening (< 10 mm), cyst, tumor, post-operative deformity, severe metal artifact precluding visualization of the maxillary sinus, and age younger than 20 years were excluded. CT texture features of the mucosal thickening were analyzed using an in-house developed Matlab-based texture analysis program. Forty-five texture features were extracted from each segmented volume. The results were tested with the Mann-Whitney U test. Results Six histogram features (mean, median, standard deviation, entropy, geometric mean, harmonic mean) and two gray-level co-occurrence matrix features (entropy, correlation) showed significant differences between OMS and NOMS patients. Conclusions CT texture analysis revealed the quantitative differences between OMS and NOMS. The texture features can serve as a quantitative indicator of maxillary sinusitis to differentiate between OMS and NOMS and help prevent incorrect treatment choices.