Farr Navid, Wang Yak-Nam, D'Andrea Samantha, Gravelle Kayla M, Hwang Joo Ha, Lee Donghoon
Department of Bioengineering, University of Washington, Seattle, Washington.
Applied Physics Laboratory, University of Washington, Seattle, Washington.
Cancer Med. 2017 May;6(5):1082-1090. doi: 10.1002/cam4.1062. Epub 2017 Apr 7.
The preclinical models of pancreatic adenocarcinoma provide an alternative means for determining the mechanisms of malignancy and possibilities for treatments, thus representing a resource of immense potential for cancer treatment in medicine. To evaluate different tumor models, quantifiable magnetic resonance imaging (MRI) techniques can play a significant role in identifying valuable in vivo biomarkers of tumor characteristics. We characterized three models of pancreatic cancer with multiparametric MRI techniques. Tumor stromal density of each tumor was measured using diffusion-weighted imaging and magnetization transfer (MT-MRI). Histologic measurement showed a similar trend with tumor fibrosis levels. Results indicated that MRI measurements can serve as a valuable tool in identifying and evaluating tumor characteristics.
胰腺腺癌的临床前模型为确定恶性肿瘤机制和治疗可能性提供了一种替代方法,因此代表了医学中癌症治疗的巨大潜在资源。为了评估不同的肿瘤模型,可量化的磁共振成像(MRI)技术在识别有价值的肿瘤特征体内生物标志物方面可发挥重要作用。我们用多参数MRI技术对三种胰腺癌模型进行了表征。使用扩散加权成像和磁化传递(MT-MRI)测量每个肿瘤的肿瘤基质密度。组织学测量显示出与肿瘤纤维化水平相似的趋势。结果表明,MRI测量可作为识别和评估肿瘤特征的有价值工具。