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The rationale for MR-only delineation and planning: retrospective CT–MR registration and target volume analysis for prostate radiotherapy

Published online by Cambridge University Press:  30 April 2020

Arivarasan Ilamurugu
Affiliation:
Department of Radiation Oncology, Yashoda Hospitals, Hyderabad, India School of Advanced Sciences, Vellore Institute of Technology, Vellore, India
Anu Radha Chandrasekaran*
Affiliation:
School of Advanced Sciences, Vellore Institute of Technology, Vellore, India
*
Author for correspondence: Anu Radha Chandrasekaran, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Tel: +91 80088 97837. E-mail: [email protected]

Abstract

Aim:

Magnetic resonance imaging (MRI) is indispensable for treatment planning in prostate radiotherapy (PR). Registration of MRI when compared to planning CT (pCT) is prone to uncertainty and this is rarely reported. In this study, we have compared three different types of registration methods to justify the direct use of MRI in PR.

Methods and materials:

Thirty patients treated for PR were retrospectively selected for this study and all underwent both CT and MRI. The MR scans were registered to the pCT using markers, focused and unfocussed methods and their registration are REGM, REGF, and REGNF, respectively. Registration comparison is done using the translational differences of three axes from the centre-of-mass values of gross tumour volume (GTV) generated using MRI.

Results:

The average difference in all three axes (x, y, z) is (1, 2·5, 2·3 mm) and (1, 3, 2·3 mm) for REGF-REFNF and REGF-REGM, respectively. MR-based GTV Volume is less in comparison to CT-based GTV and it is significantly different (p < 0·001).

Findings:

Image registration uncertainty is unavoidable for a regular CT–MR workflow. Additional planning target volume margin ranging from 2 to 3mm could be avoided if MR-only workflow is employed. This reduction in the margin is beneficial for small tumours treated with hypofractionation.

Type
Original Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press

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