Duan Lisha, Huang Huiyuan, Sun Feng, Zhao Zhenjiang, Wang Mengjun, Xing Mei, Zang Yufeng, Xiu Xiaofei, Wang Meng, Yu Hong, Cui Jianling, Zhang Han
Department of Radiology, the Third Hospital of Hebei Medical University, Shijiazhuang, China.
Key Laboratory of Biomechanics of Hebei Province, Shijiazhuang, China.
Front Oncol. 2022 Aug 12;12:794555. doi: 10.3389/fonc.2022.794555. eCollection 2022.
The aim of this study is to compare the blood oxygen level-dependent (BOLD) fluctuation power in 96 frequency points ranging from 0 to 0.25 Hz between benign and malignant musculoskeletal (MSK) tumors power spectrum analyses using functional magnetic resonance imaging (fMRI).
BOLD-fMRI and T1-weighted imaging (T1WI) of 92 patients with benign or malignant MSK tumors were acquired by 1.5-T magnetic resonance scanner. For each patient, the tumor-related BOLD time series were extracted, and then, the power spectrum of BOLD time series was calculated and was then divided into 96 frequency points. A two-sample -test was used to assess whether there was a significant difference in the powers (the "power" is the square of the BOLD fluctuation amplitude with arbitrary unit) of each frequency point between benign and malignant MSK tumors. The receiver operator characteristic (ROC) analysis was used to assess the diagnostic capability of distinguishing between benign and malignant MSK tumors.
The result of the two-sample -test showed that there was significant difference in the power between benign and malignant MSK tumor at frequency points of 58 (0.1508 Hz, = 0.036), 59 (0.1534 Hz, = 0.032), and 95 (0.247 Hz, = 0.014), respectively. The ROC analysis of mean power of three frequency points showed that the area of under curve is 0.706 ( 0.009), and the cutoff value is 0.73130. If the power of the tumor greater than or equal to 0.73130 is considered the possibility of benign tumor, then the diagnostic sensitivity and specificity values are 83% and 59%, respectively. The analysis showed that the merged power of 0.1508 and 0.1534 Hz in benign MSK tumors was significantly higher than that in malignant ones ( = 0.014). The ROC analysis showed that, if the benign MSK tumor was diagnosed with the power greater than or equal to the cutoff value of 1.41241, then the sensitivity and specificity were 67% and 68%, respectively.
The mean power of three frequency points at 0.1508, 0.1534, and 0.247 Hz may potentially be a biomarker to differentiate benign from malignant MSK tumors. By combining the power of 0.1508 and 0.1534 Hz, we could better detect the difference between benign and malignant MSK tumors with higher specificity.
本研究旨在使用功能磁共振成像（fMRI）通过功率谱分析比较96个频率点（范围从0至0.25Hz）的血氧水平依赖（BOLD）波动功率，这些频率点存在于良性和恶性肌肉骨骼（MSK）肿瘤之间。
采用1.5-T磁共振扫描仪对92例患有良性或恶性MSK肿瘤的患者进行BOLD-fMRI和T1加权成像（T1WI）检查。对于每位患者，提取与肿瘤相关的BOLD时间序列，然后计算BOLD时间序列的功率谱，并将其划分为96个频率点。使用双样本t检验评估良性和恶性MSK肿瘤之间每个频率点的功率（“功率”是BOLD波动幅度的平方，单位任意）是否存在显著差异。采用受试者工作特征（ROC）分析评估区分良性和恶性MSK肿瘤的诊断能力。
双样本t检验结果显示，在频率点58（0.1508Hz，P = 0.036）、59（0.1534Hz，P = 0.032）和95（0.247Hz，P = 0.014）处，良性和恶性MSK肿瘤的功率存在显著差异。对三个频率点的平均功率进行ROC分析，结果显示曲线下面积为0.706（P < 0.009），截断值为0.73130。如果将肿瘤功率大于或等于0.73130视为良性肿瘤的可能性，那么诊断敏感性和特异性值分别为83%和59%。t检验显示，良性MSK肿瘤中0.1508和0.1534Hz的合并功率显著高于恶性肿瘤（P = 0.014）。ROC分析表明，如果将功率大于或等于截断值1.41241诊断为良性MSK肿瘤，那么敏感性和特异性分别为67%和68%。
0.1508、0.1534和0.247Hz这三个频率点的平均功率可能是区分良性和恶性MSK肿瘤的潜在生物标志物。通过结合0.1508和0.1534Hz的功率，我们可以以更高的特异性更好地检测良性和恶性MSK肿瘤之间的差异。
