MRI 直方图和纹理分析在头颈部恶性肿瘤组织学诊断预测中的应用。

The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies.

机构信息

Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14 W5, Kita-Ku, Sapporo, 0608638, Japan.

Department of Otolaryngology-Head and Neck Surgery, Hokkaido University Graduate School of Medicine, N15 W7, Kita-Ku, Sapporo, 0608638, Japan.

出版信息

Cancer Imaging. 2019 Feb 4;19(1):5. doi: 10.1186/s40644-019-0193-9.

BACKGROUND

To assess the utility of histogram and texture analysis of magnetic resonance (MR) fat-suppressed T2-weighted imaging (Fs-T2WI) for the prediction of histological diagnosis of head and neck squamous cell carcinoma (SCC) and malignant lymphoma (ML).

METHODS

The cases of 57 patients with SCC (45 well/moderately and 12 poorly differentiated SCC) and 10 patients with ML were retrospectively analyzed. Quantitative parameters with histogram features (relative mean signal, coefficient of variation, kurtosis and skewness) and gray-level co-occurrence matrix (GLCM) features (contrast, correlation, energy and homogeneity) were calculated using Fs-T2WI data with a manual tumor region of interest (ROI).

RESULTS

The following significantly different values were obtained for the total SCC versus ML groups: relative mean signal (3.65 ± 0.86 vs. 2.61 ± 0.49), contrast (72.9 ± 16.2 vs. 49.3 ± 8.7) and homogeneity (2.22 ± 0.25 × 10 vs. 2.53 ± 0.12 × 10). In the comparison of the SCC histological grades, the relative mean signal and contrast were significantly lower in the poorly differentiated SCC (2.89 ± 0.63, 56.2 ± 12.9) compared to the well/moderately SCC (3.85 ± 0.81, 77.5 ± 13.9). The homogeneity in poorly differentiated SCC (2.56 ± 0.15 × 10) was higher than that of the well/moderately SCC (2.1 ± 0.18 × 10).

CONCLUSIONS

Parameters obtained by histogram and texture analysis of Fs-T2WI may be useful for noninvasive prediction of histological type and grade in head and neck malignancy.

背景

评估磁共振（MR）脂肪抑制 T2 加权成像（Fs-T2WI）的直方图和纹理分析在预测头颈部鳞状细胞癌（SCC）和恶性淋巴瘤（ML）组织学诊断中的作用。

方法

回顾性分析了 57 例 SCC（45 例中分化和 12 例低分化 SCC）和 10 例 ML 患者的病例。使用手动肿瘤感兴趣区（ROI）从 Fs-T2WI 数据中计算出具有直方图特征（相对平均信号、变异系数、峰度和偏度）和灰度共生矩阵（GLCM）特征（对比度、相关性、能量和同质性）的定量参数。

结果

在总 SCC 与 ML 组之间获得了以下显著不同的值：相对平均信号（3.65±0.86 比 2.61±0.49）、对比度（72.9±16.2 比 49.3±8.7）和同质性（2.22±0.25×10 比 2.53±0.12×10）。在 SCC 组织学分级的比较中，低分化 SCC 的相对平均信号和对比度明显低于中高分化 SCC（2.89±0.63，56.2±12.9 比 3.85±0.81，77.5±13.9）。低分化 SCC 的同质性（2.56±0.15×10）高于中高分化 SCC（2.1±0.18×10）。