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

Standard

Clinical application of breathing-adapted 4D CT: image quality comparison to conventional 4D CT. / Werner, René; Szkitsak, Juliane; Madesta, Frederic; Büttgen, Laura; Wimmert, Lukas; Sentker, Thilo; Fietkau, Rainer; Haderlein, Marlen; Bert, Christoph; Gauer, Tobias; Hofmann, Christian.

In: STRAHLENTHER ONKOL, Vol. 199, No. 7, 07.2023, p. 686-691.

Research output: SCORING: Contribution to journalShort publicationResearchpeer-review

Harvard

APA

Vancouver

Bibtex

@article{e9fda2c5d57c4178bb5052626b9f1eca,
title = "Clinical application of breathing-adapted 4D CT: image quality comparison to conventional 4D CT",
abstract = "PURPOSE: 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.METHODS: 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.RESULTS: 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.CONCLUSION: 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.",
author = "Ren{\'e} Werner and Juliane Szkitsak and Frederic Madesta and Laura B{\"u}ttgen and Lukas Wimmert and Thilo Sentker and Rainer Fietkau and Marlen Haderlein and Christoph Bert and Tobias Gauer and Christian Hofmann",
note = "{\textcopyright} 2023. The Author(s).",
year = "2023",
month = jul,
doi = "10.1007/s00066-023-02062-0",
language = "English",
volume = "199",
pages = "686--691",
journal = "STRAHLENTHER ONKOL",
issn = "0179-7158",
publisher = "Urban und Vogel",
number = "7",

}

RIS

TY - JOUR

T1 - Clinical application of breathing-adapted 4D CT: image quality comparison to conventional 4D CT

AU - Werner, René

AU - Szkitsak, Juliane

AU - Madesta, Frederic

AU - Büttgen, Laura

AU - Wimmert, Lukas

AU - Sentker, Thilo

AU - Fietkau, Rainer

AU - Haderlein, Marlen

AU - Bert, Christoph

AU - Gauer, Tobias

AU - Hofmann, Christian

N1 - © 2023. The Author(s).

PY - 2023/7

Y1 - 2023/7

N2 - PURPOSE: 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.METHODS: 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.RESULTS: 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.CONCLUSION: 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.

AB - PURPOSE: 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.METHODS: 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.RESULTS: 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.CONCLUSION: 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.

U2 - 10.1007/s00066-023-02062-0

DO - 10.1007/s00066-023-02062-0

M3 - Short publication

C2 - 37000223

VL - 199

SP - 686

EP - 691

JO - STRAHLENTHER ONKOL

JF - STRAHLENTHER ONKOL

SN - 0179-7158

IS - 7

ER -