Gandhi Dheeraj, Hoeffner Ellen G, Carlos Ruth C, Case Ian, Mukherji Suresh K
Department of Radiology, University of Michigan Health System, Ann Arbor 48109-0030, USA.
J Comput Assist Tomogr. 2003 Sep-Oct;27(5):687-93. doi: 10.1097/00004728-200309000-00005.
To define the computed tomography (CT) perfusion characteristics of head and neck squamous cell carcinoma.
Fourteen consecutive patients with untreated squamous cell cancers of head and neck underwent CT of the head and neck along with CT perfusion imaging through the primary site. For the perfusion studies, CT density changes in blood and tissues were kinetically analyzed using the commercially available CT Perfusion 2 software (General Electric Medical Systems. Milwaukee, WI) on a GE Advantage Windows workstation. This yielded parameter maps of fractional tissue blood volume (mL/100 g), blood flow (mL x 100 g(-1) x min(-1)), mean transit time (s), and microvascular permeability surface area product (mL x 100 g(-1) x min(-1)). One head and neck radiologist analyzed perfusion data. Regions of interest (ROI) were placed over the primary tumor site, tongue base, and adjacent muscle groups. The average values of tissue blood volume (BV), blood flow (BF), mean transit time (MTT), and capillary permeability surface area product (CP) were then calculated for the tumor and compared with the average values for the tongue base and adjacent musculature. To determine a statistically significant difference between the tumor and muscle parameters, the Wilcoxon sign test, a nonparametric test for paired data, was employed.
The average values of CP, BF, and BV were higher in primary tumor (41.9, 132.9, 6.2, respectively) than in tongue base or adjacent muscular structures. The MTT was reduced in primary tumors (4.0) compared with adjacent normal structures. The above differences were statistically significant (P<0.05).
We obtained baseline perfusion data for head and neck squamous cell cancers and compared it with adjacent normal structures. Our initial results suggest that CT perfusion parameters (CP, BF, BV, and MTT) can be used to help differentiate head and neck squamous cell carcinoma (SCCA) from adjacent normal tissue.
明确头颈部鳞状细胞癌的计算机断层扫描(CT)灌注特征。
14例未经治疗的头颈部鳞状细胞癌患者连续接受头颈部CT检查,并对原发部位进行CT灌注成像。在灌注研究中,使用通用电气医疗系统公司(威斯康星州密尔沃基)的CT灌注2软件在GE Advantage Windows工作站上对血液和组织的CT密度变化进行动力学分析。这生成了组织血容量分数(mL/100g)、血流(mL×100g⁻¹×min⁻¹)、平均通过时间(s)和微血管通透性表面积乘积(mL×100g⁻¹×min⁻¹)的参数图。一名头颈部放射科医生分析灌注数据。在原发肿瘤部位、舌根和相邻肌肉群上放置感兴趣区域(ROI)。然后计算肿瘤的组织血容量(BV)、血流(BF)、平均通过时间(MTT)和毛细血管通透性表面积乘积(CP)的平均值,并与舌根和相邻肌肉组织的平均值进行比较。为确定肿瘤和肌肉参数之间的统计学显著差异,采用了威尔科克森符号检验,这是一种用于配对数据的非参数检验。
原发肿瘤的CP、BF和BV平均值(分别为41.9、132.9、6.2)高于舌根或相邻肌肉结构。与相邻正常结构相比,原发肿瘤的MTT降低(4.0)。上述差异具有统计学意义(P<0.05)。
我们获得了头颈部鳞状细胞癌的基线灌注数据,并将其与相邻正常结构进行了比较。我们的初步结果表明,CT灌注参数(CP、BF、BV和MTT)可用于帮助将头颈部鳞状细胞癌(SCCA)与相邻正常组织区分开来。