Literature DB >> 26114226

Quantitative Dose Dependency Analysis of Whole-Brain CT Perfusion Imaging.

Rashindra Manniesing1, Marcel T H Oei1, Bram van Ginneken1, Mathias Prokop1.   

Abstract

PURPOSE: To quantitatively assess whether decreasing total radiation dose of the image acquisition protocol has an effect on cerebral CT perfusion values in patients with acute stroke.
MATERIALS AND METHODS: This retrospective study was approved by the institutional ethics committee, and informed consent was waived. Twenty consecutive patients with ischemic stroke who underwent CT perfusion imaging with a 320-detector row CT scanner were included. A standard acquisition protocol was used, which was started 5 seconds after injection of a contrast agent, with a scan at 200 mAs, followed after 4 seconds by 13 scans, one every 2 seconds, at 100 mAs, and then five scans, one every 5 seconds, at 75 mAs. The total examination had an average effective dose of 5.0 mSv. For each patient, a patient-specific digital perfusion phantom was constructed to simulate the same protocol at a lower total dose (0.5-5.0 mSv, with stepped doses of 0.5 mSv). The lowest setting for which the maximum mean difference remained within 5% of the reference standard (at 5.0 mSv) was marked as the optimal setting. At the optimal setting, Pearson correlation coefficients were calculated to assess correlations with the reference values, and paired t tests were performed to compare the means.
RESULTS: At 2.5 mSv, the maximum mean differences in values from those of the reference standard were 4.5%, 5.0%, and 1.9%, for cerebral blood flow, cerebral blood volume, and mean transit time, respectively. Pearson correlation coefficients of perfusion values for white matter and gray matter were 0.864-0.917, and all differences were significant (P < .0001). Paired t tests showed no significant differences between the reference standard and optimal settings (P = .089-.923).
CONCLUSION: The total dose of a clinical cerebral CT perfusion protocol can be lowered to 2.5 mSv, with only minor quantitative effects on perfusion values. Dose reduction beyond this point resulted in overestimation of perfusion values. © RSNA, 2015.

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Year:  2015        PMID: 26114226     DOI: 10.1148/radiol.2015142230

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  6 in total

1.  C-Arm Conebeam CT Perfusion Imaging in the Angiographic Suite: A Comparison with Multidetector CT Perfusion Imaging.

Authors:  K Niu; P Yang; Y Wu; T Struffert; A Doerfler; S Schafer; K Royalty; C Strother; G-H Chen
Journal:  AJNR Am J Neuroradiol       Date:  2016-02-18       Impact factor: 3.825

2.  Absolute cerebral blood flow: Assessment with a novel low-radiation-dose dynamic CT perfusion technique in a swine model.

Authors:  Pablo Abbona; Yixiao Zhao; Logan Hubbard; Shant Malkasian; Brooklynn Flynn; Sabee Molloi
Journal:  J Neuroradiol       Date:  2021-10-09       Impact factor: 4.600

3.  A 4D CT digital phantom of an individual human brain for perfusion analysis.

Authors:  Rashindra Manniesing; Christoph Brune; Bram van Ginneken; Mathias Prokop
Journal:  PeerJ       Date:  2016-11-30       Impact factor: 2.984

4.  Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients.

Authors:  Midas Meijs; Ajay Patel; Sil C van de Leemput; Mathias Prokop; Ewoud J van Dijk; Frank-Erik de Leeuw; Frederick J A Meijer; Bram van Ginneken; Rashindra Manniesing
Journal:  Sci Rep       Date:  2017-11-15       Impact factor: 4.379

5.  Hyaluronic acid-modified manganese-chelated dendrimer-entrapped gold nanoparticles for the targeted CT/MR dual-mode imaging of hepatocellular carcinoma.

Authors:  Ruizhi Wang; Yu Luo; Shuohui Yang; Jiang Lin; Dongmei Gao; Yan Zhao; Jinguo Liu; Xiangyang Shi; Xiaolin Wang
Journal:  Sci Rep       Date:  2016-09-22       Impact factor: 4.379

6.  Low Dose CT Perfusion With K-Space Weighted Image Average (KWIA).

Authors:  Chenyang Zhao; Thomas Martin; Xingfeng Shao; Jeffry R Alger; Vinay Duddalwar; Danny J J Wang
Journal:  IEEE Trans Med Imaging       Date:  2020-11-30       Impact factor: 10.048

  6 in total

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