open access

Vol 70, No 3 (2020)
Original article
Published online: 2020-06-16
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A straightforward estimation of cardiac substructure exposure for clinical practice: example of breast rotational intensity modulated radiation therapy

Pierre Loap, Youlia Kirova
DOI: 10.5603/NJO.2020.0021
·
Nowotwory. Journal of Oncology 2020;70(3):98-100.

open access

Vol 70, No 3 (2020)
Original article
Published online: 2020-06-16

Abstract

Introduction.  Mean heart dose (MHD) is the most widely used dosimetric parameter for cardiac sparing during treatment planning. Specific cardiac substructure exposure could be more clinically important, but MHD cannot provide the radiation oncologist with precise insight at the substructural level.

Materials.  We propose a straightforward method for estimating cardiac substructure exposure based on linear regressions between mean dose delivered to cardiac substructures and MHD. We focused on breast irradiation with intensity modulated radiation therapy as an application example. Correlations between mean dose to cardiac substructures and MHD were statistically significant and usually moderate (r > 0.5) or strong (r > 0.7), allowing the use of such linear regression models to estimate cardiac substructure exposure from MHD for clinical practice.

Conclusion.  This method can be extrapolated to other clinical situations for daily practice, albeit with some restrictions.

Abstract

Introduction.  Mean heart dose (MHD) is the most widely used dosimetric parameter for cardiac sparing during treatment planning. Specific cardiac substructure exposure could be more clinically important, but MHD cannot provide the radiation oncologist with precise insight at the substructural level.

Materials.  We propose a straightforward method for estimating cardiac substructure exposure based on linear regressions between mean dose delivered to cardiac substructures and MHD. We focused on breast irradiation with intensity modulated radiation therapy as an application example. Correlations between mean dose to cardiac substructures and MHD were statistically significant and usually moderate (r > 0.5) or strong (r > 0.7), allowing the use of such linear regression models to estimate cardiac substructure exposure from MHD for clinical practice.

Conclusion.  This method can be extrapolated to other clinical situations for daily practice, albeit with some restrictions.

Get Citation

Keywords

cardiac substructure exposure; cardiotoxicity; intensity modulated radiation therapy; breast cancer

About this article
Title

A straightforward estimation of cardiac substructure exposure for clinical practice: example of breast rotational intensity modulated radiation therapy

Journal

Nowotwory. Journal of Oncology

Issue

Vol 70, No 3 (2020)

Pages

98-100

Published online

2020-06-16

DOI

10.5603/NJO.2020.0021

Bibliographic record

Nowotwory. Journal of Oncology 2020;70(3):98-100.

Keywords

cardiac substructure exposure
cardiotoxicity
intensity modulated radiation therapy
breast cancer

Authors

Pierre Loap
Youlia Kirova

References (6)
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