ePoster
Algorithm for automated calculation of PTV margins from CBCT-based IGRT and optimisation of the offline correction protocols

Authors

  1. Auwal Abubakar
  2. Nada Alia Zamri
  3. Shazril Imran Bin Shaukat
  4. Noor Khairiah Binti A. Karim
  5. Gokula Kumar Appalanaido
  6. Mohd Zakir Bin Kassim
  7. Mohd Hafiz Bin Mohd Zin

Theme

Medical Physics

INSTITUTION

Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia
Radiotherapy and Oncology, Pantai Hospital Sungai Petani, Kedah, Malaysia

Background

Each radiotherapy centre should have a site-specific PTV margin and IGRT correction protocol to compensate for the geometric error that can occur during the treatement.

However, the software for calculation of the PTV margin and correction for offline IGRT protocols is not available on the IGRT system.

This work developes a Matlab algorithm for automated calculation of these parameters from CBCT-based IGRT.

The algorithm was tested on 25 head and neck cancer (HNC) patients that were treated using IG-IMRT.

Summary of Results

Fig. 5 and 6 show the results of the population error and PTV margin from the HNC patients 

                                                                   

Fig. 5: Population systematic and random error

                                                                   

Fig. 6: PTV margin for NAL and eNAL offline protocols

Conclusion

The algorithm provides an automated method for optimisation of offline correction protocols and further reduction of PTV margin for CBCT-based IG-IMRT.

Take-home Messages

1. An algorithm for automated calculation of PTV margins and correction for offline protocols is now developed.

2. Reduction in PTV margin could be achieved using NAL and eNAL IGRT protocols.

3. eNAL allow tigher PTV margin compared to NAL protocol.

References

[1] de Boer H C, van Sörnsen de Koste J R, Creutzberg C L, Visser A G, Levendag P C and Heijmen B J 2001 Electronic portal image assisted reduction of systematic set-up errors in head and neck irradiation. Radiother. Oncol. 61 299–308

[2] de Boer H C J and Heijmen B J M 2007 eNAL: An Extension of the NAL Setup Correction Protocol for Effective Use of Weekly Follow-up Measurements Int. J. Radiat. Oncol. Biol. Phys. 67 1586–95

[3] van Herk M, Remeijer P, Rasch C and Lebesque J V 2000 The probability of correct target dosage: dose-population histograms for deriving treatment margins in radiotherapy. Int. J. Radiat. Oncol. Biol. Phys. 47 1121

Acknowledgement

This work was funded by Prototype Research Grant Scheme (FRGS), Ministry of Education Malaysia, with the project code of 203/CIPPT/6740047. We also acknowledge the support from Tertiary education trust fund (TETFUND), Nigeria.

Contact Person: DR HAFIZ M ZIN, Advanced Medical and Dental Institute (AMDI), Universiti Sains Malaysia, MALAYSIA. Email: hafiz.zin@physics.org

Summary of Work

CBCT based IGRT is used to check and correct a setup error and subsquently store the error data in XVI text file during each treatment session (Fig. 1).                              

                                                                    Fig. 1: IGRT system for identification and correction of setup errors

 

A MATLAB algorithm (Fig. 2) was developed to extract the setup errors in three translational directions (x, y and z) that were logged by the IGRT system during the treatment delivery and calculates the correction for NAL and eNAL protocols [1,2].

The algorithm also calculates the resulted population setup error and PTV margin (Fig. 3) based on van Herk margin recipe [3], and subsequently estimates their respective values for NAL and eNAL offline protocols (Fig. 4).

 

                                                                                                                                      

Fig. 2: MATLAB algorithm for automated calculation of PTV magin and offline correction

 

 

Fig. 3: Sample of XVI text file and PTV margin calculation process     

 

 

                                                                                          Fig. 4: Flow chart for NAL and eNAL offline IGRT protocols        

Background

PTV margin is a geometrical concept and is defined as volume added around the CTV to account for the net effect of all possible geometrical uncertainties so that the CTV is always within the treatment field during treatment delivery.  The margin is derived from the errors seen on IGRT systems. 

The errors and thus, PTV, varies depending on the experience of the radiation therapist, immoblisation, IGRT protocol, anatomical site and linac.

The UK national cancer action team recommended that for each anatomical site, a center should audit setup data for atleast 20 patients to generate institution PTV margins. This should be repeated after every 1-2 years or with new immolisation, technique or linear accleratorr.

 

Summary of Results

 

 

 

 

 

 

 

Conclusion
Take-home Messages
References
Acknowledgement
Summary of Work
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