MR imaging as a precise technique to evaluate skull-base tumor volume: Comparison of CT, MR imaging and FDG PET from murine and clinical data
MR imaging as a precise technique to evaluate skull-base tumor volume: Comparison of CT, MR imaging and FDG PET from murine and clinical data
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MR 成像作为评估颅底肿瘤体积的精确技术：来自小鼠和临床数据的 CT、MR 成像和 FDG PET 的比较。
DOI：
10.1016/j.jcms.2019.12.007
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发表时间：
2020-01-01
影响因子：
3.1
通讯作者：
Guo, Chuan-Bin
中科院分区：
文献类型：
--
作者：
Li, Qing-Xiang;Yang, Rong;Guo, Chuan-Bin
尽管临床上使用了许多成像方式，但最能反映颅底（颞下窝，ITF）恶性肿瘤真实轮廓的成像方式仍然未知。为了比较不同成像方式的肿瘤识别能力，通过计算机断层扫描（CT）、磁共振（MR）成像和氟-18氟脱氧葡萄糖（（18）FDG）正电子发射断层扫描（PET）评估了建立的小鼠模型和颅底肿瘤患者的肿瘤体积（GTV）。PET、MR成像和碘染色增强CT对肿瘤体积（GTV）均敏感，并且能够识别小鼠模型中的颅底肿瘤。对于小鼠模型，根据MR成像（176.67 +/- 19.6 mm（3））和组织学测量结果（170.23 +/- 22.24 mm（3））的平均GTV之间没有观察到显着差异（p > 0.9999）。相比之下，CT（88.77 ± 13.03 mm（3），p < 0.0001）和FDG PET（35.67 ± 6.56 mm（3），p < 0.0001）的GTV要小得多。根据建立的小鼠模型和临床患者数据，MR成像具有识别肿瘤轮廓的最佳能力。(C)2019年欧洲颅颌面外科协会。由爱思唯尔有限公司出版。保留所有权利。
In spite of the many imaging modalities used in clinics, the one that best reflects the true delineation of skull-base (infratemporal fossa, ITF) malignancies is still unknown. In order to compare the tumor recognition capabilities of different imaging modalities, established murine models and patients with skull-base tumors were evaluated by computer tomography (CT), magnetic resonance (MR) imaging, and fluorine-18 fluorodeoxyglucose ((18)FDG) positron emission tomography (PET) for delineation of gross tumor volume (GTV).PET, MR imaging, and CT enhanced by iodine staining were all sensitive to, and able to recognize, the skull-base tumor in the murine model. No significant difference (p > 0.9999) was observed between average GTV according to MR imaging (176.67 +/- 19.6 mm(3)) and the histological measurement result (170.23 +/- 22.24 mm(3)) for the murine model. In contrast, the GTVs according to CT (88.77 +/- 13.03 mm(3), p < 0.0001) and (18)FDG PET (35.67 +/- 6.56 mm(3), p < 0.0001) were much smaller.In nine patients for whom the three modalities were available, tumor volume comparisons tended to be consistent with the murine model data. According to both the established murine model and clinical patient data, MR imaging possessed the optimal ability to recognize tumor contours. (C) 2019 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.