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在低心率情况下，双源计算机断层扫描的时间分辨率比64排探测器的时间分辨率能提供更高的图像质量。

Dual-source computed tomographic temporal resolution provides higher image quality than 64-detector temporal resolution at low heart rates.

作者信息

Araoz Philip A, Kirsch Jacobo, Primak Andrew N, Braun Natalie N, Saba Osama, Williamson Eric E, Harmsen W Scott, Mandrekar Jayawant N, McCollough Cynthia H

机构信息

Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA.

出版信息

J Comput Assist Tomogr. 2010 Jan;34(1):64-9. doi: 10.1097/RCT.0b013e3181b67163.

DOI:10.1097/RCT.0b013e3181b67163
PMID:20118724
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2923656/
Abstract

OBJECTIVE

To compare coronary image quality at temporal resolutions associated with dual-source computed tomography (DSCT; 83 milliseconds) and 64-detector row scanning (165 milliseconds).

METHODS

In 30 patients with a heart rate of less than 70 beats per minute, DSCT coronary angiograms were reconstructed at 83- and 165-millisecond temporal resolutions over different cardiac phases. A blinded observer graded coronary quality.

RESULTS

The typical DSCT temporal resolution (83 milliseconds) showed a significantly greater quality at end-systole for all coronary vessels and at end-diastole for the right coronary and left anterior descending coronary arteries. For all vessels, the end-diastole produced the highest quality for both temporal resolutions.

CONCLUSIONS

Imaging at 83 milliseconds creates superior quality at end-systole for all coronary vessels and at end-diastole for the right coronary and left anterior descending coronary arteries. At low heart rates, end-diastole produces the highest quality at both temporal resolutions.

摘要

目的

比较双源计算机断层扫描（DSCT；83毫秒）和64排探测器扫描（165毫秒）相关时间分辨率下的冠状动脉图像质量。

方法

对30例心率低于70次/分钟的患者，在不同心动周期阶段以83毫秒和165毫秒的时间分辨率重建DSCT冠状动脉造影图像。由一名不知情的观察者对冠状动脉质量进行分级。

结果

典型的DSCT时间分辨率（83毫秒）在所有冠状动脉血管的收缩末期以及右冠状动脉和左前降支冠状动脉的舒张末期显示出明显更高的质量。对于所有血管，舒张末期在两种时间分辨率下均产生最高质量的图像。

结论

83毫秒的成像在所有冠状动脉血管的收缩末期以及右冠状动脉和左前降支冠状动脉的舒张末期产生更高质量的图像。在低心率时，舒张末期在两种时间分辨率下均产生最高质量的图像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/fbc5f322f192/nihms205717f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/0250077c1e26/nihms205717f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/686f6f94135f/nihms205717f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/4e1fe06673ba/nihms205717f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/9030e3b121cc/nihms205717f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/8f0e0dbf13db/nihms205717f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/24e7ccd6e202/nihms205717f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/fbc5f322f192/nihms205717f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/0250077c1e26/nihms205717f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/686f6f94135f/nihms205717f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/4e1fe06673ba/nihms205717f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/9030e3b121cc/nihms205717f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/8f0e0dbf13db/nihms205717f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/24e7ccd6e202/nihms205717f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/2923656/fbc5f322f192/nihms205717f7.jpg

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