Characterization of tumors of jaw: Additive value of contrast enhancement and dual-energy computed tomography

IF 1.4 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING World journal of radiology Pub Date : 2024-04-28 DOI:10.4329/wjr.v16.i4.82
Deepak Justine Viswanathan, A. Bhalla, S. Manchanda, Ajoy Roychoudhury, Deepika Mishra, A. Mridha
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Abstract

BACKGROUND Currently, the differentiation of jaw tumors is mainly based on the lesion’s morphology rather than the enhancement characteristics, which are important in the differentiation of neoplasms across the body. There is a paucity of literature on the enhancement characteristics of jaw tumors. This is mainly because, even though computed tomography (CT) is used to evaluate these lesions, they are often imaged without intravenous contrast. This study hypothesised that the enhancement characteristics of the solid component of jaw tumors can aid in the differentiation of these lesions in addition to their morphology by dual-energy CT, therefore improving the ability to differentiate between various pathologies. AIM To evaluate the role of contrast enhancement and dual-energy quantitative parameters in CT in the differentiation of jaw tumors METHODS Fifty-seven patients with jaw tumors underwent contrast-enhanced dual-energy CT. Morphological analysis of the tumor, including the enhancing solid component, was done, followed by quantitative analysis of iodine concentration (IC), water concentration (WC), HU, and normalized IC. The study population was divided into four subgroups based on histopathological analysis-central giant cell granuloma (CGCG), ameloblastoma, odontogenic keratocyst (OKC), and other jaw tumors. A one-way ANOVA test for parametric variables and the Kruskal-Wallis test for non-parametric variables were used. If significant differences were found, a series of independent t -tests or Mann-Whitney U tests were used. RESULTS Ameloblastoma was the most common pathology (n = 20), followed by CGCG (n = 11) and OKC. CGCG showed a higher mean concentration of all quantitative parameters than ameloblastomas (P < 0.05). An IC threshold of 31.35 × 100 μg/cm3 had the maximum sensitivity (81.8%) and specificity (65%). Between ameloblastomas and OKC, the former showed a higher mean concentration of all quantitative parameters (P < 0.001), however when comparing unilocular ameloblastomas with OKCs, the latter showed significantly higher WC. Also, ameloblastoma had a higher IC and lower WC compared to “other jaw tumors” group. CONCLUSION Enhancement characteristics of solid components combined with dual-energy parameters offer a more precise way to differentiate between jaw tumors.
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颌骨肿瘤的特征:对比增强和双能计算机断层扫描的附加值
背景 目前,颌骨肿瘤的分化主要基于病变的形态而非增强特征,而增强特征对全身肿瘤的分化非常重要。有关颌骨肿瘤增强特征的文献很少。这主要是因为,尽管计算机断层扫描(CT)被用来评估这些病变,但它们通常是在没有静脉注射对比剂的情况下成像的。本研究假设,颌骨肿瘤实体成分的增强特征除了有助于通过双能 CT 对病变的形态进行分辨外,还有助于提高对不同病理的分辨能力。目的 评估对比增强和双能 CT 定量参数在颌骨肿瘤分化中的作用 方法 57 名颌骨肿瘤患者接受了对比增强双能 CT 检查。首先对肿瘤(包括增强的实体部分)进行形态学分析,然后对碘浓度(IC)、水浓度(WC)、HU 和归一化 IC 进行定量分析。根据组织病理学分析,研究对象被分为四个亚组--中央巨细胞肉芽肿(CGCG)、釉母细胞瘤、牙源性角化囊肿(OKC)和其他颌骨肿瘤。参数变量采用单向方差分析,非参数变量采用 Kruskal-Wallis 检验。如果发现有明显差异,则进行一系列独立 t 检验或 Mann-Whitney U 检验。结果 骨髓母细胞瘤是最常见的病理类型(20 例),其次是 CGCG(11 例)和 OKC。CGCG 的所有定量参数的平均浓度均高于釉母细胞瘤(P < 0.05)。IC 阈值为 31.35 × 100 μg/cm3 的灵敏度(81.8%)和特异度(65%)最高。在牙釉质母细胞瘤和 OKC 之间,前者的所有定量参数的平均浓度都更高(P < 0.001),但在比较单眼牙釉质母细胞瘤和 OKC 时,后者的 WC 明显更高。此外,与 "其他颌骨肿瘤 "组相比,釉母细胞瘤的 IC 值更高,而 WC 值更低。结论 固体成分的增强特征与双能量参数相结合,为区分颌骨肿瘤提供了一种更精确的方法。
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来源期刊
World journal of radiology
World journal of radiology RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
自引率
8.00%
发文量
35
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