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超低剂量腹部多层螺旋CT:在一项前瞻性临床研究中使用基于知识的迭代模型重建技术大幅降低辐射剂量。

Ultra-low dose abdominal MDCT: using a knowledge-based Iterative Model Reconstruction technique for substantial dose reduction in a prospective clinical study.

作者信息

Khawaja Ranish Deedar Ali, Singh Sarabjeet, Blake Michael, Harisinghani Mukesh, Choy Garry, Karosmangulu Ali, Padole Atul, Do Synho, Brown Kevin, Thompson Richard, Morton Thomas, Raihani Nilgoun, Koehler Thomas, Kalra Mannudeep K

机构信息

MGH Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

MGH Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

出版信息

Eur J Radiol. 2015 Jan;84(1):2-10. doi: 10.1016/j.ejrad.2014.09.022. Epub 2014 Oct 13.

Abstract

PURPOSE

To assess lesion detection and image quality parameters of a knowledge-based Iterative Model Reconstruction (IMR) in reduced dose (RD) abdominal CT examinations.

MATERIALS AND METHODS

This IRB-approved prospective study included 82 abdominal CT examinations performed for 41 consecutive patients (mean age, 62 ± 12 years; F:M 28:13) who underwent a RD CT (SSDE, 1.5 mGy ± 0.4 [∼ 0.9 mSv] at 120 kV with 17-20 mAs/slice) immediately after their standard dose (SD) CT exam (10 mGy ± 3 [∼ 6 mSv] at 120 kV with automatic exposure control) on 256 MDCT (iCT, Philips Healthcare). SD data were reconstructed using filtered back projection (FBP). RD data were reconstructed with FBP and IMR. Four radiologists used a five-point scale (1=image quality better than SD CT to 5=image quality unacceptable) to assess both subjective image quality and artifacts. Lesions were first detected on RD FBP images. RD IMR and RD FBP images were then compared side-by-side to SD-FBP images in an independent, randomized and blinded fashion. Friedman's test and intraclass correlation coefficient were used for data analysis. Objective measurements included image noise and attenuation as well as noise spectral density (NSD) curves to assess the noise in frequency domain were obtained. In addition, a low-contrast phantom study was performed.

RESULTS

All true lesions (ranging from 32 to 55) on SD FBP images were detected on RD IMR images across all patients. RD FBP images were unacceptable for subjective image quality. Subjective ratings showed acceptable image quality for IMR for organ margins, soft-tissue structures, and retroperitoneal lymphadenopathy, compared to RD FBP in patients with a BMI ≤ 25 kg/m(2) (median-range, 2-3). Irrespective of patient BMI, subjective ratings for hepatic/renal cysts, stones and colonic diverticula were significantly better with RD IMR images (P<0.01). Objective image noise for RD FBP was 57-66% higher, and for RD IMR was 8-56% lower than that for SD-FBP (P<0.01). NSD showed significantly lower noise in the frequency domain with IMR in all patients compared to FBP.

CONCLUSION

IMR considerably improved both objective and subjective image quality parameters of RD abdominal CT images compared to FBP in patients with BMI less than or equal to 25 kg/m(2).

摘要

目的

评估基于知识的迭代模型重建(IMR)在低剂量(RD)腹部CT检查中的病灶检测及图像质量参数。

材料与方法

本研究经机构审查委员会(IRB)批准,为前瞻性研究,纳入了41例连续患者(平均年龄62±12岁;女性:男性为28:13)的82例腹部CT检查。这些患者在256层螺旋CT(iCT,飞利浦医疗)上先进行了标准剂量(SD)CT检查(120 kV时剂量为10 mGy±3[6 mSv],采用自动曝光控制),随后立即进行了RD CT检查(120 kV时SSDE为1.5 mGy±0.4[0.9 mSv],每层17 - 20 mAs)。SD数据采用滤波反投影(FBP)重建。RD数据分别采用FBP和IMR重建。四名放射科医生使用五点量表(1 = 图像质量优于SD CT至5 = 图像质量不可接受)评估主观图像质量和伪影。首先在RD FBP图像上检测病灶。然后将RD IMR和RD FBP图像以独立、随机且盲法的方式与SD - FBP图像进行并排比较。采用Friedman检验和组内相关系数进行数据分析。客观测量包括图像噪声、衰减以及用于评估频域噪声的噪声谱密度(NSD)曲线。此外,还进行了低对比度体模研究。

结果

所有患者的SD FBP图像上的所有真实病灶(范围为32至55个)在RD IMR图像上均被检测到。RD FBP图像的主观图像质量不可接受。主观评分显示,对于BMI≤25 kg/m²的患者,与RD FBP相比,IMR在器官边缘、软组织结构和腹膜后淋巴结病变方面的图像质量可接受(中位数范围为2 - 3)。无论患者BMI如何,RD IMR图像在肝/肾囊肿、结石和结肠憩室方面的主观评分均显著更好(P<0.01)。RD FBP的客观图像噪声比SD - FBP高57 - 66%,而RD IMR的客观图像噪声比SD - FBP低8 - 56%(P<0.01)。与FBP相比,所有患者的NSD显示IMR在频域的噪声显著更低。

结论

对于BMI小于或等于25 kg/m²的患者,与FBP相比,IMR显著改善了RD腹部CT图像的客观和主观图像质量参数。

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