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本文引用的文献

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PeerJ. 2016 Mar 31;4:e1883. doi: 10.7717/peerj.1883. eCollection 2016.
2
Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications.双能量和多能量CT:原理、技术方法及临床应用
Radiology. 2015 Sep;276(3):637-53. doi: 10.1148/radiol.2015142631.
3
Dual-energy CT colonography for preoperative "one-stop" staging in patients with colonic neoplasia.双能量CT结肠成像用于结肠肿瘤患者术前“一站式”分期
Acad Radiol. 2014 Dec;21(12):1567-72. doi: 10.1016/j.acra.2014.07.019. Epub 2014 Nov 1.
4
CT colonography with computer-aided detection: recognizing the causes of false-positive reader results.计算机辅助检测的CT结肠成像:识别假阳性阅片结果的原因
Radiographics. 2014 Nov-Dec;34(7):1885-905. doi: 10.1148/rg.347130053.
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History, evolution, and current status of radiologic imaging tests for colorectal cancer screening.结直肠癌筛查的放射影像学检查的历史、演变和现状。
Radiology. 2014 Nov;273(2 Suppl):S160-80. doi: 10.1148/radiol.14140531.
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State of the art: dual-energy CT of the abdomen.现状:腹部双能量 CT。
Radiology. 2014 May;271(2):327-42. doi: 10.1148/radiol.14131480.
7
Noncathartic CT colonography to screen for colorectal neoplasia in subjects with a family history of colorectal cancer.非泻剂 CT 结肠成像用于筛查结直肠癌家族史患者的结直肠肿瘤。
Radiology. 2014 Mar;270(3):784-90. doi: 10.1148/radiol.13130373. Epub 2013 Nov 22.
8
The feasibility of colorectal cancer detection using dual-energy computed tomography with iodine mapping.双能 CT 碘图成像检测结直肠癌的可行性研究。
Clin Radiol. 2013 Aug;68(8):799-806. doi: 10.1016/j.crad.2013.03.005. Epub 2013 Apr 21.
9
Informatics in radiology: dual-energy electronic cleansing for fecal-tagging CT colonography.放射学中的信息学:用于粪便标记 CT 结肠成像的双能电子清洗。
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10
Computed tomographic colonography versus colonoscopy for investigation of patients with symptoms suggestive of colorectal cancer (SIGGAR): a multicentre randomised trial.计算机断层结肠成像与结肠镜检查用于疑似结直肠癌症状患者的检查(SIGGAR):一项多中心随机试验。
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结肠癌和直肠癌的双能CT特征有助于通过双源CT将其与粪便区分开来。

Dual-energy CT characteristics of colon and rectal cancer allows differentiation from stool by dual-source CT.

作者信息

Özdeniz İlknur, İdilman İlkay S, Köklü Seyfettin, Hamaloğlu Erhan, Özmen Mustafa, Akata Deniz, Karçaaltıncaba Muşturay

机构信息

Department of Radiology, Hacettepe University School of Medicine, Ankara, Turkey.

出版信息

Diagn Interv Radiol. 2017 Jul-Aug;23(4):251-256. doi: 10.5152/dir.2017.16225.

DOI:10.5152/dir.2017.16225
PMID:28440784
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5508947/
Abstract

PURPOSE

We aimed to determine dual-energy computed tomography (DECT) characteristics of colorectal cancer and investigate effectiveness of DECT method in differentiating tumor from stool in patients with colorectal cancer.

METHODS

Fifty consecutive patients with colorectal tumors were enrolled. Staging was performed by DECT (80-140 kV) using dual-source CT after rectal air insufflation and without bowel preparation. Both visual and quantitative analyses were performed at 80 kV and 140 kV, on iodine map and virtual noncontrast (VNC) images.

RESULTS

All colorectal tumors had homogeneous pattern on iodine map. Stools demonstrated heterogeneous pattern in 86% (43/50) and homogeneous pattern in 14% (7/50) on iodine maps and were less visible on VNC images. Median density of tumors was 54 HU (18-100 HU) on iodine map and 28 HU (11-56 HU) on VNC images. Median density of stool was 36.5 HU (8-165 HU) on iodine map and -135.5 HU (-438 HU to -13 HU) on VNC images. The density of stools was significantly lower than tumors on both iodine map and VNC images (P < 0.001). The cutoff point of density measurement on VNC images was -1 HU with area under the curve of 1 and a sensitivity and specificity of 100%.

CONCLUSION

Density or visual analysis of iodine map and VNC DECT images allow accurate differentiation of tumor from stool.

摘要

目的

我们旨在确定结直肠癌的双能量计算机断层扫描(DECT)特征,并研究DECT方法在区分结直肠癌患者肿瘤与粪便方面的有效性。

方法

连续纳入50例结直肠肿瘤患者。在直肠充气后且未进行肠道准备的情况下,使用双源CT通过DECT(80 - 140 kV)进行分期。在80 kV和140 kV下,对碘图和虚拟平扫(VNC)图像进行视觉和定量分析。

结果

所有结直肠肿瘤在碘图上均表现为均匀模式。粪便在碘图上86%(43/50)表现为不均匀模式,14%(7/50)表现为均匀模式,且在VNC图像上不太明显。肿瘤在碘图上的中位密度为54 HU(18 - 100 HU),在VNC图像上为28 HU(11 - 56 HU)。粪便在碘图上的中位密度为36.5 HU(8 - 165 HU),在VNC图像上为 - 135.5 HU( - 438 HU至 - 13 HU)。粪便在碘图和VNC图像上的密度均显著低于肿瘤(P < 0.001)。VNC图像上密度测量的截断点为 - 1 HU,曲线下面积为1,灵敏度和特异度均为100%。

结论

碘图和VNC DECT图像的密度或视觉分析能够准确区分肿瘤与粪便。