Clinical application of breathing-adapted 4D CT: image quality comparison to conventional 4D CT.


Journal

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
ISSN: 1439-099X
Titre abrégé: Strahlenther Onkol
Pays: Germany
ID NLM: 8603469

Informations de publication

Date de publication:
07 2023
Historique:
received: 28 10 2022
accepted: 17 02 2023
medline: 22 6 2023
pubmed: 1 4 2023
entrez: 31 3 2023
Statut: ppublish

Résumé

4D CT imaging is an integral part of 4D radiotherapy workflows. However, 4D CT data often contain motion artifacts that mitigate treatment planning. Recently, breathing-adapted 4D CT (i4DCT) was introduced into clinical practice, promising artifact reduction in in-silico and phantom studies. Here, we present an image quality comparison study, pooling clinical patient data from two centers: a new i4DCT and a conventional spiral 4D CT patient cohort. The i4DCT cohort comprises 129 and the conventional spiral 4D CT cohort 417 4D CT data sets of lung and liver tumor patients. All data were acquired for treatment planning. The study consists of three parts: illustration of image quality in selected patients of the two cohorts with similar breathing patterns; an image quality expert rater study; and automated analysis of the artifact frequency. Image data of the patients with similar breathing patterns underline artifact reduction by i4DCT compared to conventional spiral 4D CT. Based on a subgroup of 50 patients with irregular breathing patterns, the rater study reveals a fraction of almost artifact-free scans of 89% for i4DCT and only 25% for conventional 4D CT; the quantitative analysis indicated a reduction of artifact frequency by 31% for i4DCT. The results demonstrate 4D CT image quality improvement for patients with irregular breathing patterns by breathing-adapted 4D CT in this first corresponding clinical data image quality comparison study.

Identifiants

pubmed: 37000223
doi: 10.1007/s00066-023-02062-0
pii: 10.1007/s00066-023-02062-0
pmc: PMC10281893
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

686-691

Informations de copyright

© 2023. The Author(s).

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Auteurs

René Werner (R)

University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany. r.werner@uke.de.

Juliane Szkitsak (J)

Department of Radiation Oncology, Universitätsklinikum Erlangen, 91054, Erlangen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany.

Frederic Madesta (F)

University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany.

Laura Büttgen (L)

University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany.

Lukas Wimmert (L)

University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany.

Thilo Sentker (T)

University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany.

Rainer Fietkau (R)

Department of Radiation Oncology, Universitätsklinikum Erlangen, 91054, Erlangen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany.

Marlen Haderlein (M)

Department of Radiation Oncology, Universitätsklinikum Erlangen, 91054, Erlangen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany.

Christoph Bert (C)

Department of Radiation Oncology, Universitätsklinikum Erlangen, 91054, Erlangen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany.

Tobias Gauer (T)

University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany.

Christian Hofmann (C)

Siemens Healthcare GmbH, 91301, Forchheim, Germany.

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Classifications MeSH