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双能量谱计算机断层扫描定量分析鉴别胃黏膜良恶性病变:初步经验

Differentiating malignant from benign gastric mucosal lesions with quantitative analysis in dual energy spectral computed tomography: Initial experience.

作者信息

Meng Xiaoyan, Ni Cheng, Shen Yaqi, Hu Xuemei, Chen Xiao, Li Zhen, Hu Daoyu

机构信息

aDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan bDepartment of Radiology, The Central Hospital of Enshi Autonomous Prefecture, Enshi, Hubei, China.

出版信息

Medicine (Baltimore). 2017 Jan;96(2):e5878. doi: 10.1097/MD.0000000000005878.

Abstract

To investigate the value of quantitative analysis in dual energy spectral computed tomography (DESCT) for differentiating malignant gastric mucosal lesions from benign gastric mucosal lesions (including gastric inflammation [GI] and normal gastric mucosa [NGM]). This study was approved by the ethics committee, and all patients provided written informed consent. A total of 161 consecutive patients (63 with gastric cancer [GC], 48 with GI, and 50 with NGM) who underwent dual-phase contrast enhanced DESCT scans in the arterial phase (AP) and portal venous phase (PVP) were included in this study. Iodine concentration (IC) in lesions was derived from the iodine-based material-decomposition images and normalized to that in the aorta to obtain normalized IC (nIC). The ratios of IC and nIC between the AP and PVP were calculated. Diagnostic confidence for GC and GI was evaluated with reviewing the features including gastric wall thickness, focal, and eccentric on the conventional polychromatic images. All statistical analyses were performed by using statistical software SPSS 17.0 (SPSS, Chicago, IL). IC and nIC in GC differed significantly from those in GI and NGM, except for nICAP in comparing GC with GI. Mean nIC values of GC (0.18 ± 0.06 in AP and 0.62 ± 0.16 in PVP) were significantly higher than that of NGM (0.12 ± 0.03 in AP and 0.37 ± 0.08 in PVP) (all P < 0.05). There was also significant difference for IC values in GC, GI, and NGM (24.19 ± 8.27, 19.07 ± 5.82, and 13.61 ± 2.52 mg/mL, respectively, in AP and 28.00 ± 7.01, 24.66 ± 6.55, and 16.94 ± 3.06 mg/mL, respectively, in PVP). Based on Receiver Operating Characteristic Curve analysis, nIC and IC in PVP had high sensitivities of 88.89% and 90.48%, respectively, in differentiating GC from NGM, while the sensitivities were 71.43% and 88.89% during AP. Ratios IC and nIC ratios did not provide adequate diagnostic accuracy with their area under curves less than 0.65. With the conventional features, the diagnostic accuracies for GC and GI were 75.0% and 98.0%, respectively. Quantitative analysis of DESCT imaging parameters for gastric mucosa, such as nIC and IC, is useful for differentiating malignant from benign gastric mucosal lesions.

摘要

探讨双能谱计算机断层扫描(DESCT)定量分析在鉴别胃黏膜恶性病变与良性病变(包括胃炎[GI]和正常胃黏膜[NGM])中的价值。本研究经伦理委员会批准,所有患者均提供了书面知情同意书。本研究纳入了161例连续接受动脉期(AP)和门静脉期(PVP)双期对比增强DESCT扫描的患者,其中63例为胃癌(GC),48例为胃炎,50例为正常胃黏膜。病变中的碘浓度(IC)来自基于碘的物质分解图像,并将其标准化为主动脉中的碘浓度以获得标准化IC(nIC)。计算AP和PVP之间IC和nIC的比值。通过回顾传统多色图像上的胃壁厚度、局灶性和偏心性等特征来评估GC和GI的诊断置信度。所有统计分析均使用统计软件SPSS 17.0(SPSS,伊利诺伊州芝加哥)进行。除了比较GC与GI时的nICAP外,GC中的IC和nIC与GI和NGM中的IC和nIC有显著差异。GC的平均nIC值(AP中为0.18±0.06,PVP中为0.62±0.16)显著高于NGM(AP中为0.12±0.03,PVP中为0.37±0.08)(所有P<0.05)。GC、GI和NGM的IC值也有显著差异(AP中分别为24.19±8.27、19.07±5.82和13.61±2.52mg/mL,PVP中分别为28.00±7.01、24.66±6.55和16.94±3.06mg/mL)。基于受试者工作特征曲线分析,PVP中的nIC和IC在鉴别GC与NGM时分别具有88.89%和90.48%的高灵敏度,而在AP期间灵敏度分别为71.43%和88.89%。IC比值和nIC比值的曲线下面积小于0.65,未提供足够高的诊断准确性。根据传统特征,GC和GI的诊断准确率分别为75.0%和98.0%。对胃黏膜的DESCT成像参数进行定量分析,如nIC和IC,有助于鉴别胃黏膜恶性病变与良性病变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f905/5266189/85c58e2f26f5/medi-96-e5878-g001.jpg

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