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Preoperative spirometry and BMI in deep inspiration breath-hold radiotherapy: the early detection of cardiac and lung dose predictors without radiation exposure

Authors :
Yutaro Koide
Hidetoshi Shimizu
Takahiro Aoyama
Tomoki Kitagawa
Risei Miyauchi
Yui Watanabe
Hiroyuki Tachibana
Takeshi Kodaira
Source :
Radiation Oncology, Vol 17, Iss 1, Pp 1-8 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Background This study aimed to investigate preoperative spirometry and BMI as early predictors of the mean heart and lung dose (MHD, MLD) in deep inspiration breath-hold (DIBH) radiotherapy. Methods Left-sided breast cancer patients underwent breast-conserving surgery followed by DIBH radiotherapy enrolled. Patients who were not available for preoperative spirometry were excluded. One hundred eligible patients were performed free-breathing (FB-) CT and DIBH-CT for plan comparison. We completed the correlative and multivariate analysis to develop the linear regression models for dose prediction. The residuals were calculated to explore the unpreferable subgroups and compare the prediction accuracy. Results Among the parameters, vital capacity (VC) and BMI showed the strongest negative correlation with MHD (r = − 0.33) and MLD (r = − 0.34), respectively. They were also significant in multivariate analysis (P

Details

Language :
English
ISSN :
1748717X
Volume :
17
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Radiation Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.3d6ef168ca57484e8003938869c40dd8
Document Type :
article
Full Text :
https://doi.org/10.1186/s13014-022-02002-9