门静脉相位光子计数计算机断层扫描肾脏病变评估:碘浓度和衰减分析。

IF 1.3 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Samantha Platt, Bhavik Bansal, Barun Bagga, Bari Dane
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引用次数: 0

摘要

目的:在静脉相光子计数CT (PCCT)上确定最佳碘浓度(IC)以鉴别强化型和非强化型肾脏病变。材料与方法:回顾性分析67例患者,男性41例,平均(SD)年龄68(13)岁,均行静脉期腹部PCCT增强及MRI增强。肾脏病变的MRI表征为单纯性囊肿、出血性/蛋白性囊肿或肿块是参考标准。两名不了解MRI特征的放射科医生在每个肾病变和主动脉内独立绘制感兴趣区域(ROI),以确定IC、碘浓度标准化到主动脉增强(NIC)、对比后和虚拟非对比衰减。使用非参数检验对这些变量进行比较,并评估类内相关系数。采用均值测量对IC、NIC和衰减差进行ROC分析。结果:囊肿(n = 41)的中位(IQR) IC为0.015 (0.00 ~ 0.20)mg/mL,肿块(n = 26, P < 0.001)为3.00 (1.59 ~ 4.10)mg/mL。囊肿的NIC为2(-1 ~ 4)%,肿块为58 (33 ~ 81)% (P < 0.001)。对于囊肿和肿块的鉴别,0.6 mg/mL IC的敏感性为100%,特异性为95% [AUC = 1.00(0.99, 1.00)],特异性为14.1%。NIC的灵敏度为100%,特异性为98% [AUC = 1.00(0.99, 1.00)]。为了区分囊肿和增强肿块,从VNC到对比后图像的20 HU衰减变化显示灵敏度为96%,特异性为95% [AUC = 1.00(0.99, 1.00)]。出血性囊肿的IC为0.13 (-0.11 ~ 0.20)mg/mL (n = 16),乳头状肿瘤的IC为1.63 (1.31 ~ 1.89)mg/mL (n = 8, P < 0.001)。NIC分别为2(-1 ~ 5)%和32 (22 ~ 40)% (P < 0.001)。鉴别出血性囊肿与乳头状肿瘤,0.53 mg/mL IC具有100%的敏感性和88%的特异性[AUC = 0.98 (0.93, 1.00)], 14.1% NIC具有100%的敏感性和94%的特异性[AUC = 0.98(0.95, 1.00)]。20 HU的变化有88%的敏感性和特异性。鉴别出血性囊肿与乳头状肿瘤,20 HU的衰减变化有88%的敏感性和88%的特异性[AUC = 0.98(0.93, 1.00)]。结论:PCCT碘浓度对鉴别肾囊肿和肿瘤有较好的诊断价值。与传统CT类似,PCCT上从VNC到对比后成像的衰减变化为20 HU,仍然是增强病变的可靠阈值。与20 HU变化相比,碘浓度在鉴别肾囊肿和肿块时表现出更高的敏感性和特异性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Renal Lesion Assessment at Portal Venous Phase Photon Counting Computed Tomography: Iodine Concentration and Attenuation Analysis.

Objective: To determine the optimal iodine concentration (IC) to differentiate enhancing from nonenhancing renal lesions at venous phase photon-counting CT (PCCT).

Materials and methods: Sixty-seven patients [41 males, mean (SD) age: 68 (13) y] who underwent contrast-enhanced venous phase abdominal PCCT and contrast-enhanced MRI were retrospectively identified. MRI characterization of renal lesions as simple cysts, hemorrhagic/proteinaceous cysts or masses was the reference standard. Two radiologists, blinded to MRI characterization, independently drew region-of-interests (ROI) within each renal lesion and the aorta to determine IC, iodine concentration normalized to aortic enhancement (NIC), postcontrast and virtual noncontrast attenuation. These variables were compared using nonparametric tests, and intraclass correlation coefficient was assessed. ROC analysis for IC, NIC, and attenuation difference was performed using mean measurements.

Results: Median (IQR) IC was 0.015 (0.00 to 0.20) mg/mL for cysts (n = 41) and 3.00 (1.59 to 4.10) mg/mL for masses (n = 26; P < 0.001). NIC was 2 (-1 to 4)% for cysts and 58 (33 to 81)% for masses (P < 0.001). For differentiating cysts from masses, 0.6 mg/mL IC had 100% sensitivity and 95% specificity [AUC = 1.00 (0.99, 1.00)] and 14.1%. NIC had 100% sensitivity and 98% specificity [AUC = 1.00 (0.99, 1.00)]. For differentiating cysts from enhancing masses, a 20 HU attenuation change from VNC to postcontrast images demonstrated a sensitivity of 96% and specificity of 95% [AUC = 1.00 (0.99, 1.00)]. IC was 0.13 (-0.11 to 0.20) mg/mL for hemorrhagic cysts (n = 16) and 1.63 (1.31 to 1.89) mg/mL for papillary neoplasms (n = 8; P < 0.001). NIC was 2 (-1 to 5)% and 32 (22 to 40)%, respectively (P < 0.001). For differentiating hemorrhagic cysts from papillary neoplasms, 0.53 mg/mL IC had 100% sensitivity and 88% specificity [AUC = 0.98 (0.93, 1.00)] and 14.1% NIC had 100% sensitivity and 94% specificity [AUC = 0.98 (0.95, 1.00)]. A 20 HU change had 88% sensitivity and specificity. For differentiating hemorrhagic cysts from papillary neoplasms, a 20 HU attenuation change had 88% sensitivity and 88% specificity [AUC = 0.98 (0.93, 1.00)].

Conclusions: PCCT iodine concentration showed outstanding diagnostic performance to differentiate renal cysts from neoplasms. A 20 HU change in attenuation from VNC to postcontrast imaging on PCCT remains a reliable threshold for enhancing lesion, similar to conventional CT. Iodine concentration demonstrated superior sensitivity and specificity compared with 20 HU change when identifying renal cysts versus masses.

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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
230
审稿时长
4-8 weeks
期刊介绍: The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).
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