Bankson James A, Ji Lin, Ravoori Murali, Han Lin, Kundra Vikas
Department of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030-4009, USA.
J Magn Reson Imaging. 2008 Jan;27(1):57-62. doi: 10.1002/jmri.21221.
To evaluate the efficacy of fast cardiac- and respiratory-gated MRI acquisition methods for noninvasive assessment of tumor volume in murine models of lung cancer.
A total of 21 mice bearing either human small-cell (N417) or non-small-cell (H460) lung tumors were scanned using combinations of respiratory-gated computed tomography (CT) imaging, cardiac- and respiratory-gated multishot spin-echo echo-planar imaging (SE-EPI), and cardiac- and respiratory-gated spoiled gradient echo (SPGR). Tumor depiction at 4.7T was qualitatively and quantitatively compared with CT and tissue cross sections. MRI-based measures of tumor volume were compared with ex vivo measurement of tumor mass.
Tumors appeared hyperintense on T(2)-weighted EPI images, providing positive intrinsic contrast between tumors and surrounding tissues. Tumor boundaries were better distinguished by EPI and SPGR with T(1)-reducing contrast enhancement when tumor abutted other tissues than by CT or SPGR without contrast. Tumor volumes measured from EPI images correlate well with ex vivo measurements of tumor mass (P < 0.001, r(2) = 0.99) and volume (P < 0.01, r(2) = 0.98) over a wide range of tumor sizes.
Respiratory- and cardiac-gated multishot EPI enables accurate, noninvasive assessment of tumor in murine models of lung cancer using a sequence that requires approximately two minutes to complete.
评估快速心脏和呼吸门控磁共振成像(MRI)采集方法在肺癌小鼠模型中对肿瘤体积进行无创评估的有效性。
对总共21只携带人小细胞(N417)或非小细胞(H460)肺癌肿瘤的小鼠,采用呼吸门控计算机断层扫描(CT)成像、心脏和呼吸门控多次激发自旋回波平面回波成像(SE-EPI)以及心脏和呼吸门控扰相梯度回波(SPGR)的组合进行扫描。将4.7T时的肿瘤描绘与CT和组织横截面进行定性和定量比较。将基于MRI的肿瘤体积测量值与肿瘤质量的离体测量值进行比较。
肿瘤在T2加权EPI图像上呈高信号,在肿瘤与周围组织之间提供了正的固有对比度。当肿瘤与其他组织相邻时,与未增强的CT或SPGR相比,EPI和SPGR通过降低T1的对比增强能更好地区分肿瘤边界。在广泛的肿瘤大小范围内,从EPI图像测量的肿瘤体积与肿瘤质量的离体测量值(P < 0.001,r2 = 0.99)和体积(P < 0.01,r2 = 0.98)具有良好的相关性。
呼吸和心脏门控多次激发EPI能够使用大约两分钟即可完成的序列,对肺癌小鼠模型中的肿瘤进行准确的无创评估。