Literature DB >> 26529264

Reducing Radiation Dose in Adult Head CT using Iterative Reconstruction - A Clinical Study in 177 Patients.

D Kaul1, J Kahn1, L Huizing1, E Wiener1, U Grupp1, G Böning1, P Ghadjar2, D M Renz3, F Streitparth1.   

Abstract

PURPOSE: To assess how ASIR (adaptive statistical iterative reconstruction) contributes to dose reduction and affects image quality of non-contrast cranial computed tomography (cCT).
MATERIALS AND METHODS: Non-contrast emergency CT scans of the head acquired in 177 patients were evaluated. The scans were acquired and processed using four different protocols: Group A (control): 120 kV, FBP (filtered back projection) n = 71; group B1: 120 kV, scan and reconstruction performed with 20 % ASIR (blending of 20 % ASIR and 80 % FBP), n = 86; group B2: raw data from group B1 reconstructed using a blending of 40 % ASIR and 60 % FBP, n = 74; group C1: 120 kV, scan and reconstruction performed with 30 % ASIR, n = 20; group C2: raw data from group C1 reconstructed using a blending of 50 % ASIR and 50 % FBP, n = 20. The effective dose was calculated. Image quality was assessed quantitatively and qualitatively.
RESULTS: Compared to group A, groups B1/2 and C1/2 showed a significantly reduced effective dose of 40.4 % and 73.3 % (p < 0.0001), respectively. Group B1 and group C1/2 also showed significantly reduced quantitative and qualitative image quality parameters. In group B2, quantitative measures were comparable to group A, and qualitative scores were lower compared to group A but higher compared to group B1. Diagnostic confidence grading showed groups B1/2 to be adequate for everyday clinical practice. Group C2 was considered acceptable for follow-up imaging of severe acute events such as bleeding or subacute stroke.
CONCLUSION: Use of ASIR makes it possible to reduce radiation significantly while maintaining adequate image quality in non-contrast head CT, which may be particularly useful for younger patients in an emergency setting and in follow-up. KEY POINTS: ASIR may reduce radiation significantly while maintaining adequate image quality. cCT protocol with 20 % ASIR and 40 %ASIR/60 %FBP blending is adequate for everyday clinical use. cCT protocol with 30 % ASIR and 50 %ASIR/50 %FBP blending is adequate for follow-up imaging © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2015        PMID: 26529264     DOI: 10.1055/s-0041-107200

Source DB:  PubMed          Journal:  Rofo        ISSN: 1438-9010


  6 in total

1.  Analysis of a monocentric computed tomography dosimetric database using a radiation dose index monitoring software: dose levels and alerts before and after the implementation of the adaptive statistical iterative reconstruction on CT images.

Authors:  Roberta Fusco; Sergio Venanzio Setola; Nicola Raiano; Vincenza Granata; Vincenzo Cerciello; Biagio Pecori; Antonella Petrillo
Journal:  Radiol Med       Date:  2022-05-17       Impact factor: 6.313

2.  Can use of adaptive statistical iterative reconstruction reduce radiation dose in unenhanced head CT? An analysis of qualitative and quantitative image quality.

Authors:  Bjørn Helge Østerås; Kristin Livelten Heggen; Hans Kristian Pedersen; Hilde Kjernlie Andersen; Anne Catrine T Martinsen
Journal:  Acta Radiol Open       Date:  2016-08-17

Review 3.  Low radiation dose in computed tomography: the role of iodine.

Authors:  Andrik J Aschoff; Carlo Catalano; Miles A Kirchin; Martin Krix; Thomas Albrecht
Journal:  Br J Radiol       Date:  2017-05-04       Impact factor: 3.039

4.  New adaptive statistical iterative reconstruction ASiR-V: Assessment of noise performance in comparison to ASiR.

Authors:  Paolo De Marco; Daniela Origgi
Journal:  J Appl Clin Med Phys       Date:  2018-01-24       Impact factor: 2.102

5.  The reliability of radiation dose display of a computed tomography scanner.

Authors:  V Forss; H Yli-Ollila; J Vatanen; P Kölhi; V-P Poutanen; A Palomäki
Journal:  Eur J Radiol Open       Date:  2021-04-05

Review 6.  Benefits of Low-Dose CT Scan of Head for Patients With Intracranial Hemorrhage.

Authors:  Dan Wu; Gang Wang; Bingyang Bian; Zhuohang Liu; Dan Li
Journal:  Dose Response       Date:  2020-03-06       Impact factor: 2.658

  6 in total

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