Literature DB >> 29933714

CT pulmonary angiography: dose reduction via a next generation iterative reconstruction algorithm.

Andreas Sauter1, Thomas Koehler2, Bernhard Brendel2, Juliane Aichele1, Jan Neumann1, Peter B Noël1, Ernst J Rummeny1, Daniela Muenzel1.   

Abstract

BACKGROUND: Computed tomography pulmonary angiography (CTPA) is the standard imaging modality for detection or rule out of pulmonary embolism (PE); however, radiation exposure is a serious concern. With iterative reconstruction algorithms a distinct dose reduction could be achievable.
PURPOSE: To evaluate a next generation iterative reconstruction algorithm for detection or rule-out of PE in simulated low-dose CTPA.
MATERIAL AND METHODS: Low-dose CT datasets with 50%, 25%, and 12.5% of the original tube current were simulated based on CTPA examinations of 92 patients with suspected PE. All datasets were reconstructed with two reconstruction algorithms: standard filtered back-projection (FBP) and iterative model reconstruction (IMR). In total, 736 CTPA datasets were evaluated by three blinded radiologists regarding image quality, diagnostic confidence, and detectability of PE. Furthermore, contrast-to-noise ratio (CNR) was calculated.
RESULTS: Images reconstructed with IMR showed better detectability of PE than images reconstructed with FBP, especially at lower dose levels. With IMR, sensitivity was over 95% for central and segmental PE down to a dose level of 25%. Significantly higher subjective image quality was shown at lower dose levels (25% and 12.5%) for IMR images whereas it was higher for FBP images at higher dose levels. FBP was rated as showing less artificial image appearance. CNR was significantly higher with IMR at all dose levels.
CONCLUSION: By using IMR, a dose reduction of up to 50% while maintaining satisfactory image quality seems feasible in standard clinical situations, resulting in a mean effective dose of 1.38 mSv for CTPA.

Entities:  

Keywords:  CT; CT angiography; Thorax; adults; computed tomography; computer applications – detection; diagnosis; lung

Mesh:

Year:  2018        PMID: 29933714     DOI: 10.1177/0284185118784976

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  5 in total

1.  Ultralow-dose CT with knowledge-based iterative model reconstruction (IMR) in evaluation of pulmonary tuberculosis: comparison of radiation dose and image quality.

Authors:  Chenggong Yan; Chunyi Liang; Jun Xu; Yuankui Wu; Wei Xiong; Huan Zheng; Yikai Xu
Journal:  Eur Radiol       Date:  2019-03-29       Impact factor: 5.315

2.  Sparse sampling computed tomography (SpSCT) for detection of pulmonary embolism: a feasibility study.

Authors:  Andreas P Sauter; Felix K Kopp; Rolf Bippus; Julia Dangelmaier; Dominik Deniffel; Alexander A Fingerle; Felix Meurer; Daniela Pfeiffer; Roland Proksa; Ernst J Rummeny; Peter B Noël
Journal:  Eur Radiol       Date:  2019-05-09       Impact factor: 5.315

Review 3.  Optimizing the diagnosis and assessment of chronic thromboembolic pulmonary hypertension with advancing imaging modalities.

Authors:  Seth Kligerman; Albert Hsiao
Journal:  Pulm Circ       Date:  2021-05-24       Impact factor: 3.017

4.  Factors Affecting Radiation Dose in Computed Tomography Angiograms for Pulmonary Embolism: A Retrospective Cohort Study.

Authors:  Prashant Nagpal; Sarv Priya; Ali Eskandari; Aidan Mullan; Tanya Aggarwal; Sabarish Narayanasamy; Kamesh Parashar; Ambarish P Bhat; Jessica C Sieren
Journal:  J Clin Imaging Sci       Date:  2020-11-13

Review 5.  Acute pulmonary embolism multimodality imaging prior to endovascular therapy.

Authors:  David Sin; Gordon McLennan; Fabian Rengier; Ihab Haddadin; Gustavo A Heresi; John R Bartholomew; Matthias A Fink; Dustin Thompson; Sasan Partovi
Journal:  Int J Cardiovasc Imaging       Date:  2020-08-30       Impact factor: 2.357

  5 in total

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