Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH), Heraklion, Crete, Greece; Department of Radiology, University of Crete, Heraklion, Crete, Greece.
Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH), Heraklion, Crete, Greece; Department of Radiology, University of Crete, Heraklion, Crete, Greece.
Phys Med. 2019 Apr;60:76-82. doi: 10.1016/j.ejmp.2019.03.023. Epub 2019 Mar 28.
Subcutaneous fat may have variable signal intensity on T2w images depending on the choice of imaging parameters. However, fatty components within tumors have a different degree of signal dependence on the acquisition scheme. This study examined the use of T2, T2 relaxometry and spin coupling related signal changes (Spin Coupling ratio, SCr) on two different imaging protocols as clinically relevant descriptors of benign and malignant lipomatous tumors.
20 patients with benign lipomas or liposarcomas of variable histologic grade were examined at an 1.5 T scanner with Multi Echo Spin Echo (MESE) different echo spacing (ESP) in order to produce bright fat T2w images (ESP: 13.4 ms, 25 equidistant echoes) and dark fat images (ESP: 26.8 ms with 10 equidistant echoes). T2 relaxometry acquisition comprises 4 sets of in-opposed echoes (2.4-19.2 ms, ESP: 2.4 ms) Multi Echo Gradient Echo (MEGRE) sequence. All parametric maps were calculated on a pixel basis.
Significant differences of SCr were found for five different types of lipomatous tumors (Pairwise t-test with Bonferroni correction): lipomas, well differentiated liposarcomas, myxoid liposarcomas, pleomorphic liposarcomas and poorly differentiated liposarcomas. SCr surpassed the classification performance of T2 and T2 relaxometry.
A novel biomarker based on spin coupling related signal loss, SCr, is indicative of lipomatous tumor histological grading. We concluded that T2, T2 and SCr can be used for the classification of fat containing tumors, which may be important for biopsy guidance in heterogeneous masses and treatment planning.
根据成像参数的选择,皮下脂肪在 T2w 图像上的信号强度可能会有所不同。然而,肿瘤内的脂肪成分对采集方案的信号依赖性程度不同。本研究探讨了在两种不同成像方案中使用 T2、T2 弛豫率和自旋偶联相关信号变化(自旋偶联比,SCr)作为良性和恶性脂肪性肿瘤的临床相关描述符。
在 1.5T 扫描仪上对 20 例良性脂肪瘤或不同组织学分级的脂肪肉瘤患者进行检查,采用多回波自旋回波(MESE)不同回波间距(ESP)以产生亮脂 T2w 图像(ESP:13.4ms,25 个等距回波)和暗脂图像(ESP:26.8ms,10 个等距回波)。T2 弛豫率采集包括 4 组反相回波(2.4-19.2ms,ESP:2.4ms)多回波梯度回波(MEGRE)序列。所有参数图均基于像素进行计算。
对五种不同类型的脂肪性肿瘤(采用配对 t 检验和 Bonferroni 校正)发现 SCr 存在显著差异:脂肪瘤、高分化脂肪肉瘤、黏液样脂肪肉瘤、多形性脂肪肉瘤和低分化脂肪肉瘤。SCr 超过了 T2 和 T2 弛豫率的分类性能。
基于自旋偶联相关信号损失的新型生物标志物 SCr 提示脂肪性肿瘤的组织学分级。我们得出结论,T2、T2 和 SCr 可用于含脂肪肿瘤的分类,这对于异质性肿块的活检指导和治疗计划可能很重要。