Literature DB >> 27523908

The impact of breathing guidance and prospective gating during thoracic 4DCT imaging: an XCAT study utilizing lung cancer patient motion.

Sean Pollock1, John Kipritidis, Danny Lee, Kinga Bernatowicz, Paul Keall.   

Abstract

Two interventions to overcome the deleterious impact irregular breathing has on thoracic-abdominal 4D computed tomography (4DCT) are (1) facilitating regular breathing using audiovisual biofeedback (AVB), and (2) prospective respiratory gating of the 4DCT scan based on the real-time respiratory motion. The purpose of this study was to compare the impact of AVB and gating on 4DCT imaging using the 4D eXtended cardiac torso (XCAT) phantom driven by patient breathing patterns. We obtained simultaneous measurements of chest and abdominal walls, thoracic diaphragm, and tumor motion from 6 lung cancer patients under two breathing conditions: (1) AVB, and (2) free breathing. The XCAT phantom was used to simulate 4DCT acquisitions in cine and respiratory gated modes. 4DCT image quality was quantified by artefact detection (NCCdiff), mean square error (MSE), and Dice similarity coefficient of lung and tumor volumes (DSClung, DSCtumor). 4DCT acquisition times and imaging dose were recorded. In cine mode, AVB improved NCCdiff, MSE, DSClung, and DSCtumor by 20% (p  =  0.008), 23% (p  <  0.001), 0.5% (p  <  0.001), and 4.0% (p  <  0.003), respectively. In respiratory gated mode, AVB improved NCCdiff, MSE, and DSClung by 29% (p  <  0.001), 34% (p  <  0.001), 0.4% (p  <  0.001), respectively. AVB increased the cine acquisitions by 15 s and reduced respiratory gated acquisitions by 31 s. AVB increased imaging dose in cine mode by 10%. This was the first study to quantify the impact of breathing guidance and respiratory gating on 4DCT imaging. With the exception of DSCtumor in respiratory gated mode, AVB significantly improved 4DCT image analysis metrics in both cine and respiratory gated modes over free breathing. The results demonstrate that AVB and respiratory-gating can be beneficial interventions to improve 4DCT for cancer radiation therapy, with the biggest gains achieved when these interventions are used simultaneously.

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Year:  2016        PMID: 27523908     DOI: 10.1088/0031-9155/61/17/6485

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  4 in total

Review 1.  Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond.

Authors:  W Paul Segars; B M W Tsui; George S K Fung; Ehsan Samei
Journal:  IEEE Trans Med Imaging       Date:  2017-08-10       Impact factor: 10.048

2.  Robust optimization of VMAT for lung cancer: Dosimetric implications of motion compensation techniques.

Authors:  Ben R Archibald-Heeren; Mikel V Byrne; Yunfei Hu; Meng Cai; Yang Wang
Journal:  J Appl Clin Med Phys       Date:  2017-08-08       Impact factor: 2.102

3.  Quality assurance of four-dimensional computed tomography in a multicentre trial of stereotactic body radiotherapy of centrally located lung tumours.

Authors:  Marie Lambrecht; Jan-Jakob Sonke; Ursula Nestle; Heike Peulen; Damien C Weber; Marcel Verheij; Coen W Hurkmans
Journal:  Phys Imaging Radiat Oncol       Date:  2018-12-07

4.  A study of quantitative indicators for slice sorting in cine-mode 4DCT.

Authors:  Changhwan Kim; Hojae Kim; Sung-Woo Kim; Youngmoon Goh; Min-Jae Park; Hojin Kim; Chiyoung Jeong; Byungchul Cho; Eun Kyung Choi; Sang-Wook Lee; Sang Min Yoon; Su Ssan Kim; Jin-Hong Park; Jinhong Jung; Si Yeol Song; Jungwon Kwak
Journal:  PLoS One       Date:  2022-08-26       Impact factor: 3.752

  4 in total

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