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QuickStart radiotherapy: an inter-professional approach to expedite radiotherapy treatment in early breast cancer

Published online by Cambridge University Press:  20 May 2015

Grace Lee
Affiliation:
Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
Robert E. Dinniwell
Affiliation:
Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
Thomas G. Purdie
Affiliation:
Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
Mohammad Rahman
Affiliation:
Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
Sophie Foxcroft
Affiliation:
Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
Anthony Fyles*
Affiliation:
Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
*
Correspondence to: Anthony Fyles, Department of Radiation Oncology, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, Canada, M5G 2M9. Tel: 416 946 6522. Fax: 416 946 2111. E-mail: [email protected]

Abstract

Background and purpose

This study aims to develop an expedited radiotherapy (RT) process and evaluate its time savings in women requiring whole breast RT.

Material and methods

An inter-professional RT team streamlined the computed tomography (CT) simulation and treatment pathway for a ‘QuickStart’ process. Target delineation was performed by an advanced practice radiation therapist and approved by the radiation oncologist (RO) for planning. Automated breast planning software was used for treatment planning and standard quality checks were performed. To assess time savings, the initial 25 QuickStart patients were matched with women who underwent whole breast simulation on the same day (±3 days), treated using the conventional process.

Results

A total of 73 post-lumpectomy women were treated through the QuickStart process; the median consent-to-RT was 2 days (range: 0–13) and the mean CT simulation-to-RT treatment was 2 hours and 42 minutes (SD 0:30). In the subgroup analysis, QuickStart patients saved an average of 11 days from CT simulation-to-RT and had shorter median wait-times for both surgery/chemotherapy-to-RT (60 versus 38 days; p=0·002) and consultation-to-RT (7 versus 20 days; p<0·001).

Conclusions

Through inter-professional team efforts and the application of automated planning software, we have achieved a process that significantly decreases patient wait-times while maintaining the quality of whole breast RT.

Type
Original Articles
Copyright
© Cambridge University Press 2015 

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References

1Early Breast Cancer Trialists’ Collaborative G, Darby, S, McGale, Pet al. Effect of radiotherapy after breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: meta-analysis of individual patient data for 10,801 women in 17 randomised trials. Lancet 2011; 378: 17071716.Google Scholar
2Huang, J, Barbera, L, Brouwers, M, Browman, G, Mackillop, W J. Does delay in starting treatment affect the outcomes of radiotherapy? A systematic review. J Clin Oncol 2003; 21: 555563.CrossRefGoogle ScholarPubMed
3Mikeljevic, J S, Haward, R, Johnston, Cet al. Trends in postoperative radiotherapy delay and the effect on survival in breast cancer patients treated with conservation surgery. Br J Cancer 2004; 90: 13431348.CrossRefGoogle ScholarPubMed
4Olivotto, I A, Lesperance, M L, Truong, P Tet al. Intervals longer than 20 weeks from breast-conserving surgery to radiation therapy are associated with inferior outcome for women with early-stage breast cancer who are not receiving chemotherapy. J Clin Oncol 2009; 27: 1623.CrossRefGoogle Scholar
5Benk, V, Przybysz, R, McGowan, T, Paszat, L. Waiting times for radiation therapy in Ontario. Can J Surg 2006; 49: 1621.Google ScholarPubMed
6Lehman, M, Jacob, S, Delaney, Get al. Waiting times for radiotherapy—a survey of patients’ attitudes. Radiother Oncol 2004; 70: 283289.CrossRefGoogle ScholarPubMed
7Agarwal, J P, Ghosh-Laskar, S, Budrukkar, A, Murthy, V, Mallick, I. Finding solutions for the endless wait—reducing waiting times for radiotherapy. Radiother Oncol 2008; 87: 153154.CrossRefGoogle ScholarPubMed
8Ontario Ministry of Health and Long-Term Care. Results-Based Plan Briefing Book 2012–2013, October 2013. http://www.health.gov.on.ca/en/common/ministry/publications/plans/rbplan12/. Accessed on November 2014.Google Scholar
9Cancer Care Ontario. CSRT Project Phases, July 2014. https://www.cancercare.on.ca/ocs/clinicalprogs/radiationtreatment/radiationtherapy/csrt_projects/projects/. Accessed on November 2014.Google Scholar
10Cancer Care Ontario. Radiation Therapy Advanced Practice, July 2014. https://www.cancercare.on.ca/ocs/clinicalprogs/radiationtreatment/radiationtherapy/. Accessed on August 2014.Google Scholar
11Lee, G, Fyles, A, Cho, B C Jet al. Evaluation of variability in seroma delineation between clinical specialist radiation therapist and radiation oncologist for adjuvant breast irradiation. Pract Radiat Oncol 2012; 2: 114121.CrossRefGoogle ScholarPubMed
12Lee, G, Harnett, N, Zychla, L, Dinniwell, R E. Radiotherapy treatment review: a prospective evaluation of concordance between clinical specialist radiation therapist and radiation oncologist in patient assessments. J Med Imaging Radiat Sci 2012; 43: 610.CrossRefGoogle ScholarPubMed
13Purdie, T G, Dinniwell, R E, Letourneau, D, Hill, C, Sharpe, M B. Automated planning of tangential breast intensity-modulated radiotherapy using heuristic optimization. Int J Radiat Oncol Biol Phys 2011; 81: 575583.CrossRefGoogle ScholarPubMed
14Purdie, T G, Dinniwell, R E, Fyles, A, Sharpe, M B. Automation and IMRT for individualized high-quality tangent breast treatment plan. Int J Radiat Oncol Biol Phys 2014; 90: 688695.CrossRefGoogle Scholar
15Cancer Care Ontario. Wait Time Targets, March 2009. https://www.cancercare.on.ca/cms/One.aspx?portalId=1377&pageId=8870. Accessed on August 2014.Google Scholar
16Wang, W, Purdie, T G, Rahman, M, Marshall, A, Liu, F-F, Fyles, A. Rapid automated treatment planning process to select breast cancer patients for active breathing control to achieve cardiac dose reduction. Int J Radiat Oncol Biol Phys 2012; 82: 386393.CrossRefGoogle ScholarPubMed
17Bouche, G, Ingrand, I, Mathoulin-Pelissier, S, Ingrand, P, Breton-Callu, C, Migeot, V. Determinants of variability in waiting times for radiotherapy in the treatment of breast cancer. Radiother Oncol 2010; 97: 541547.CrossRefGoogle ScholarPubMed
18Jack, R, Davies, E, Robinson, D, Sainsbury, R, Moller, H. Radiotherapy waiting times for women with breast cancer: a population-based cohort study. BMC Cancer 2007; 7: 71.CrossRefGoogle ScholarPubMed
19Pituskin, E, Fairchild, A, Dutka, Jet al. Multidisciplinary team contributions within a dedicated outpatient palliative radiotherapy clinic: a prospective descriptive study. Int J Radiat Oncol Biol Phys 2010; 78: 527532.CrossRefGoogle Scholar
20Danjoux, C, Chow, E, Drossos, Aet al. An innovative rapid response radiotherapy program to reduce waiting time for palliative radiotherapy. Support Care Cancer 2006; 14: 3843.CrossRefGoogle ScholarPubMed
21de Sa, E, Sinclair, E, Mitera, Get al. Continued success of the rapid response radiotherapy program: a review of 2004-2008. Support Care Cancer 2009; 17: 757762.CrossRefGoogle Scholar
22Fairchild, A, Pituskin, E, Rose, Bet al. The rapid access palliative radiotherapy program: blueprint for initiation of a one-stop multidisciplinary bone metastases clinic. Support Care Cancer 2009; 17: 163170.CrossRefGoogle ScholarPubMed
23Danielson, B, Fairchild, A. Beyond palliative radiotherapy: a pilot multidisciplinary brain metastases clinic. Support Care Cancer 2012; 20: 773781.CrossRefGoogle ScholarPubMed
24Fitzpatrick, K, Kelly, C, Thirion, P. Is there a role for radiation therapists in the delineation of organs-at-risk in conformal radiotherapy for prostate cancer? Radiother Oncol 2005; 76: S99S100 (Abstract).Google Scholar
25Boston, S, Scrase, C, Hardy, V. Implementation of radiographer led planning target delineation for prostate cancer. Radiother Oncol 2005; 76: S73 (Abstract).CrossRefGoogle Scholar
26Chan, B, Vakilha, M, Waldron, Jet al. The impact of contouring specialists on the process of head and neck IMRT treatment planning. Radiother Oncol 2009; 92: S17S18 (Abstract).CrossRefGoogle Scholar
27Wilkinson, J, Lawrence, G, Pedley, I, McMenemin, R. Work-based learning, role extension and skills mix within dose planning: target volume definition for carcinoma of the prostate by non-clinicians. Clin Oncol 2005; 17: 199.CrossRefGoogle ScholarPubMed
28Bristow, B, Saloojee, S, Silveira, M, Vakani, S, Turner, A. Role development for radiation therapists: an examination of the computed tomographic simulation procedure for patients receiving radiation therapy for breast cancer. J Med Imaging Radiat Sci 2014; 45: 1623.CrossRefGoogle ScholarPubMed
29Pierburg, B A, Kashani, R, Baker, K Wet al. Automated IMRT treatment planning. Int J Radiat Oncol Biol Phys 2010; 78: S759S760 (Abstract).CrossRefGoogle Scholar
30Xhaferllari, I, Wong, E, Bzdusek, K, Lock, M, Chen, J. Automated IMRT planning with regional optimization using planning scripts. J Appl Clin Med Phys/Am Coll Med Phys 2013; 14: 4052.Google ScholarPubMed
31Velker, V, Rodrigues, G, Dinniwell, R, Hwee, J, Louie, A. Creation of RTOG compliant patient CT-atlases for automated atlas based contouring of local regional breast and high-risk prostate cancers. Radiat Oncol (London, England) 2013; 8: 188.CrossRefGoogle ScholarPubMed
32Nguyen, S K A, Cao, F, Ramaseshan, Ret al. Template-based breast IMRT planning for increased workload efficiency. Radiat Oncol (London, England) 2013; 8: 67.CrossRefGoogle ScholarPubMed
33Zhao, X, Kong, D, Jozsef, Get al. Automated beam placement for breast radiotherapy using a support vector machine based algorithm. Med Phys 2012; 39: 25362543.CrossRefGoogle ScholarPubMed