Vol 20, No 5 (2015)
Original reearch articles
Published online: 2015-09-01

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Comparison of manual and inverse optimisation techniques in high dose rate intracavitary brachytherapy of cervical cancer: A dosimetric study

Ram Abhinav Kannan, Janaki Manur Gururajachar1, Arul Ponni1, Kirthi Koushik1, Mohan Kumar1, Ram Charith Alva1, Ritika Harjani1, Arvind Murthy1
DOI: 10.1016/j.rpor.2015.05.003
Rep Pract Oncol Radiother 2015;20(5):365-369.

Abstract

Aims and objectives

To compare dosimetrically the manual optimisation with IPSA using dose volume histograms (DVH) among patients treated for carcinoma of cervix with intracavitary brachytherapy.

Background

With the advent of advanced imaging modalities, there has been a shift from conventional X-ray based planning to three-dimensional planning. Manual optimisation is widely used across various institutions but it is time consuming and operator dependant. Inverse planning simulated annealing (IPSA) is now available in various brachytherapy planning systems. But there is a paucity of studies comparing manual optimisation and IPSA in treatment of carcinoma cervix with intracavitary brachytherapy and hence this study.

Materials and methods

Fifteen consecutive patients treated between December 2013 and March 2014 with intracavitary brachytherapy for carcinoma of cervix were selected for this study. All patients were initially treated with external beam radiotherapy followed by intracavitary brachytherapy. The DVH was evaluated and compared between manually optimised plans and IPSA in the same set of patients.

Results

There was a significant improvement in the HRCTV coverage, mean V100 of 87.75% and 82.37% (p[[ce:hsp sp="0.25"/]]=[[ce:hsp sp="0.25"/]]0.001) and conformity index 0.67 and 0.6 (p[[ce:hsp sp="0.25"/]]=[[ce:hsp sp="0.25"/]]0.007) for plans generated using IPSA and manual optimisation, respectively. Homogeneity index and dose to the OARs remained similar between the two groups.

Conclusion

The use of inverse planning in intracavitary brachytherapy of cervix has shown a significant improvement in the target volume coverage when compared with manual planning.

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