You are using an outdated browser. We suggest you update your browser for a better experience. Click here for update.
Close this notification.
Skip to main content Skip to search

Access to Radiation Treatment

Key findings

Radiation treatment utilization has remained consistent over the past several years. While large regional variations in the use of radiation treatment to treat prostate and lung cancer persist at the county level, that variability has decreased for rectal cancer. Additionally, a number of counties have increased their radiation treatment utilization for prostate and lung cancer. Radiation continues to be well accepted as treatment for breast cancer.  

Measure:  Percentage of patients treated with radiation at some point during their illness

 

Desired Direction:

 

An image of an arrow pointing upwards. This indicates that desired direction for this action is upwards.

 

As of this Report:

 

An image of an arrow pointing straight in a yellow box. This indicates that there has been no increase or decrease in performance over the previous periods identified and this action is below but approaching target or has notable regional variation.

What is radiation treatment?

  • Radiation treatment uses energy (radiation) from X-rays, gamma rays and electrons to destroy cancer cells.
  • In high doses, radiation destroys cells in the area being treated. It does this by damaging the DNA in cancer cell genes, making it impossible for them to grow and divide.
  • During radiation treatment, both cancer cells (which are growing in an uncontrolled way) and healthy cells are affected, but most healthy cells can repair themselves.
  • Radiation can be used with curative intent before or after surgery, or for palliative purposes (to relieve symptoms such as pain). This report measures radiation use for both scenarios.
  • Approximately half of cancer patients require radiation treatment at some point during their illness.

What are utilization targets and benchmarks?

  • Several different methods are used to calculate expected radiation treatment utilization rates.
  • Cancer Care Ontario’s provincial target for radiation utilization (48%) is set by the provincial Radiation Treatment Program. The aim is a longer-term goal.
  • Benchmarks for each type of cancer are created from the best possible disease-specific rates achieved in Ontario by counties with few access barriers to radiation treatment [1].

Figure 1. Percentage of cancer cases treated with radiotherapy at any time during the course of their illness, 2011 to 2017, by Local Health Integration Network (LHIN)

More information regarding the methodology is available.

Report date: February 7, 2018

Data source: Ontario Cancer Registry, Activity Level Reporting

Prepared by: Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute

Notes: Rates were estimated using the MCUT Method based on the radiotherapy given between November 1, 2012, and October 31, 2017

Figure 2. Percentage of breast cancer cases that would have benefited from, but did not receive, radiotherapy (actual compared to benchmark), 2011 to 2017, by County

 

More information regarding the methodology is available.

Figure 3. Percentage of lung cancer cases that would have benefited from, but did not receive, radiotherapy (actual compared to benchmark), 2011 to 2017, by County

 

More information regarding the methodology is available.

Figure 4. Percentage of prostate cancer cases that would have benefited from, but did not receive, radiotherapy (actual compared to benchmark), 2011 to 2017, by County

 

More information regarding the methodology is available.

Figure 5. Percentage of rectal cancer cases that would have benefited from, but did not receive, radiotherapy (actual compared to benchmark), 2011 to 2017, by County

 

More information regarding the methodology is available.

Data Table 1. Percentage of cancer cases treated with radiotherapy at any time during the course of their illness, 2011 to 2017, by Local Health Integration Network (LHIN)

LHIN Percentage (%) in 2012-2013 Lower confidence interval in 2012-2013 Upper confidence interval in 2012-2013 Percentage (%) in 2013-2014 Lower confidence interval in 2013-2014 Upper confidence interval in 2013-2014 Percentage (%) in 2014-2015 Lower confidence interval in 2014-2015 Upper confidence interval in 2014-2015 Percentage (%) in 2015-2016 Lower confidence interval in 2015-2016 Upper confidence interval in 2015-2016 Percentage (%) in 2016-2017 Lower confidence interval in 2016-2017 Upper confidence interval in 2016-2017
Ontario 37.8 37.4 38.2 37.3 36.9 37.7 37.5 37.2 37.9 39.0 38.6 39.3 38.7 38.3 39.0
Erie St. Clair 38.8 37.2 40.4 35.9 34.4 37.4 37.2 35.7 38.8 39.9 38.3 41.5 38.7 37.1 40.2
South West 37.2 36.0 38.5 35.2 33.9 36.4 35.5 34.2 36.8 37.3 36.1 38.6 37.7 36.5 39.0
Waterloo Wellington 38.2 36.6 39.8 39.3 37.7 40.9 38.0 36.4 39.6 41.7 40.1 43.4 41.7 40.1 43.3
Hmltn-Ngr-Hldmnd-Brnt 36.2 35.2 37.3 36.1 35.1 37.2 38.1 37.1 39.2 38.3 37.2 39.4 38.8 37.7 39.8
Central West 37.3 35.6 39.1 37.3 35.6 39.1 36.9 35.2 38.5 38.1 36.4 39.7 37.5 35.8 39.1
Mississauga Halton 38.9 37.5 40.2 37.9 36.6 39.3 38.1 36.8 39.5 39.2 37.8 40.6 36.8 35.5 38.1
Toronto Central 36.9 35.6 38.3 37.2 35.9 38.6 37.4 36.0 38.8 37.7 36.4 39.0 36.9 35.7 38.2
Central 38.5 37.4 39.6 36.3 35.2 37.3 38.1 37.0 39.2 38.1 37.0 39.2 38.7 37.7 39.7
Central East 36.8 35.7 37.9 36.6 35.5 37.6 37.0 36.0 38.1 38.5 37.4 39.6 37.8 36.8 38.9
South East 40.4 38.8 42.1 40.8 39.1 42.6 40.3 38.6 42.0 43.9 42.2 45.6 43.0 41.3 44.6
Champlain 41.8 40.6 43.1 42.1 40.8 43.3 40.7 39.5 41.9 42.7 41.5 43.9 42.9 41.7 44.1
North Simcoe Muskoka 36.5 34.7 38.3 37.4 35.6 39.2 35.8 34.0 37.6 37.8 36.0 39.6 39.3 37.5 41.1
North East 40.0 38.4 41.6 40.8 39.2 42.3 38.3 36.7 39.9 43.2 41.6 44.8 42.8 41.2 44.5
North West 34.8 31.9 37.8 36.0 33.1 39.0 38.6 35.6 41.5 38.1 35.1 41.0 42.4 39.4 45.3

Report date: February 7, 2018

Data source: Ontario Cancer Registry, Activity Level Reporting

Prepared by: Division of Cancer Care and Epidemioloty, Queen's Cancer Research Institute

Note:

  1. Rates were estimated using the MCUT Method based on the radiotherapy given between November 1, 2012 and October 31, 2017.

Data Table 2. Percentage of breast cancer cases that would have benefited from, but did not receive, radiotherapy (actual compared to benchmark), 2011 to 2017, by County

Map specifications 2012-2013 2013-2014 2014-2015 2015-2016 2016-2017
Ontario 37.78 37.29 37.54 38.98 38.65
Erie_St__Clair 38.8 35.91 37.2 39.88 38.66
South_West 37.24 35.15 35.48 37.33 37.74
Waterloo_Wellington 38.2 39.29 37.95 41.7 41.68
Hmltn_Ngr_Hldmnd_Brnt 36.23 36.12 38.12 38.29 38.77
Central_West 37.34 37.34 36.88 38.05 37.47
Mississauga_Halton 38.85 37.92 38.14 39.2 36.78
Toronto_Central 36.92 37.24 37.4 37.7 36.93
Central 38.5 36.27 38.08 38.09 38.7
Central_East 36.8 36.55 37 38.48 37.84
South_East 40.43 40.83 40.32 43.9 42.96
Champlain 41.84 42.07 40.72 42.72 42.86
North_Simcoe_Muskoka 36.51 37.43 35.76 37.8 39.33
North_East 39.97 40.75 38.27 43.2 42.84
North_West 34.83 36.02 38.57 38.05 42.37

 

Data Table 3. Percentage of lung cancer cases that would have benefited from, but did not receive, radiotherapy (actual compared to benchmark), 2011 to 2017, by County

County Name Stormont, Dundas & Glengarry Prescott & Russell Ottawa-Carleton RM Leeds & Grenville Lanark Frontenac Lennox & Addington Hastings Prince Edward Northumberland Peterborough Victoria Durham RM York RM Metropolitan Toronto RM Peel RM Dufferin Wellington Halton RM Hamilton-Wentworth RM Niagara RM Haldimand-Norfolk RM Brant Waterloo RM Perth Oxford Elgin Kent Essex Lambton Middlesex Huron Bruce Grey Simcoe Muskoka DM Haliburton Renfrew Nipissing Dist. Parry Sound Dist. Manitoulin Dist. Sudbury RM Timiskaming Dist. Cochrane Dist. Algoma Dist. Thunder Bay Dist. Rainy River Dist. Kenora
LUNG 5.8 2 0.6 0 5.7 0 0 4.6 9.6 9.9 6.3 10 7.4 19.2 18.1 16.1 34 12.1 20.3 22.1 20.9 27.1 32.4 13.6 16.7 5.8 13.1 9.2 0 24.1 3.8 16.9 28.3 28.4 13.7 13.6 22.5 1.8 0 11.4 0 0 7.6 1.6 0 16.2 51.7 data unavailable

 

Data Table 4. Percentage of prostate cancer cases that would have benefited from, but did not receive, radiotherapy (actual compared to benchmark), 2011 to 2017, by County

County Name Stormont, Dundas & Glengarry Prescott & Russell Ottawa-Carleton RM Leeds & Grenville Lanark Frontenac Lennox & Addington Hastings Prince Edward Northumberland Peterborough Victoria Durham RM York RM Metropolitan Toronto RM Peel RM Dufferin Wellington Halton RM Hamilton-Wentworth RM Niagara RM Haldimand-Norfolk RM Brant Waterloo RM Perth Oxford Elgin Kent Essex Lambton Middlesex Huron Bruce Grey Simcoe Muskoka DM Haliburton Renfrew Nipissing Dist. Parry Sound Dist. Manitoulin Dist. Sudbury RM Timiskaming Dist. Cochrane Dist. Algoma Dist. Thunder Bay Dist. Rainy River Dist. Kenora
PROSTATE 0 16 0 14.5 11.5 0 0 28 30.6 26.9 55.8 41.4 19.2 15.3 20.4 3.3 14.7 3.3 16.8 24.7 15.8 21.1 17.1 17.1 24.5 26.8 4.6 30.2 0 35.2 19.1 25.6 24.6 13.9 34.4 0 9.5 10.5 0 0 0 9.6 0 0 34.8 5.1 0 data unavailable

 

Data Table 5. Percentage of rectal cancer cases that would have benefited from, but did not receive, radiotherapy (actual compared to benchmark), 2011 to 2017, by County

County Name Stormont, Dundas & Glengarry Prescott & Russell Ottawa-Carleton RM Leeds & Grenville Lanark Frontenac Lennox & Addington Hastings Prince Edward Northumberland Peterborough Victoria Durham RM York RM Metropolitan Toronto RM Peel RM Dufferin Wellington Halton RM Hamilton-Wentworth RM Niagara RM Haldimand-Norfolk RM Brant Waterloo RM Perth Oxford Elgin Kent Essex Lambton Middlesex Huron Bruce Grey Simcoe Muskoka DM Haliburton Renfrew Nipissing Dist. Parry Sound Dist. Manitoulin Dist. Sudbury RM Timiskaming Dist. Cochrane Dist. Algoma Dist. Thunder Bay Dist. Rainy River Dist. Kenora
RECTAL 11.5 24.2 9.2 16.5 21.4 0 0 18.4 0 21.2 11.3 11 21.1 20.7 14.5 26.4 25.9 5.2 31.5 17.1 15.7 0 37.7 0 18 18 8.9 20.4 7.3 28.9 11.4 12.8 0 19.1 9.7 15.7 19.7 7.3 12.8 0 0 0 53.7 16.6 0 0 1.9 data unavailable

 

What do the results show?

Use of radiation treatment remains stable despite increasing complexity of treatment (Figure 1).

  • Overall, 39% of cancer patients in the province received radiation treatment at some point in 2016/2017. The Ontario average continues to remain consistent, year over year.
  • As the incidence of cancer increases, the additional need for radiation affects utilization rates. For example, a 3% increase in the number of cases treated is necessary to maintain the same utilization rate from one year to the next, while improving the overall utilization rate by 1% over a 1-year period requires an additional 3% increase in the number of cases treated (a 6% total increase from the previous year).
  • The use of radiation treatment has remained consistent despite the introduction of high-precision Intensity Modulated Radiation Therapy (IMRT). This form of radiotherapy could have resulted in slight decreases in utilization rates because of the higher complexity and workload associated with this new type of treatment.

Utilization rates are rising for most regions, but regional variation persists (Figure 1).

  • Utilization rates across the province have steadily increased over the past several years. Most Local Health Integration Networks (LHINs) have shown improvements.
  • These improvements can be attributed to the introduction of new radiation treatment facilities and additional radiation treatment units in existing centres from 2005 to 2012 through the Radiation Treatment Capital Investment Strategy. Another factor has been investment in additional radiation oncology positions by the Ministry of Health and Long-Term Care.
  • Regional variation exists in the use of radiation treatment. The South East and Champlain LHINs had the highest radiation treatment utilization in 2016/2017 with 43%. Mississauga Halton and Toronto Central had the lowest utilization rates with 37%.

The use of radiation treatment varies across types of cancer and counties (Figures 2 to 5).

  • The use of radiation treatment varies across both LHINs and the counties within each LHIN.
  • The percentage shortfall from the benchmarks for breast, lung, prostate and rectal cancers is shown in Figures 2 through 5.  
  • Radiation seems fairly well accepted as a treatment for breast cancer, as shown by most counties falling within 5% of the benchmark rate.
  • Regional variability exists for utilization of radiation for lung cancer, but numerous counties have experienced a significant increase of use in recent years.
  • Variability in radiation treatment for prostate cancer is high and varies by county, but many counties have had their rate of radiation utilization increase significantly (data not shown).
  • This variability in treatment patterns at the county level likely reflects differences in (a) physician referral patterns, (b) access to radiation treatment facilities and (c) the distance of treatment facilities from the homes of patients.
  • Patients in North West LHIN may have received treatment in Manitoba, and these patients are not included in the maps.

Why is this important to patient care?

  • Radiation treatment is used to destroy cancer cells or provide relief from cancer symptoms.
  • In some cases, radiation is the only option for treatment. In other cases, it is combined with surgery and chemotherapy to destroy any remaining cancer cells and prevent the cancer from returning.
  • Medical evidence has shown that not using radiation treatment when it is indicated can lead to serious adverse outcomes, such as a higher chance that the cancer will return (recurrence) and decreased survival [2].
  • Radiation treatment is not appropriate for every patient with cancer, and each type of cancer has its own benchmark rate.
  • By measuring county-level radiation utilization rates, we can identify areas where physicians are less likely to refer patients for radiation treatment.
  • Cancer incidence is increasing, and it is projected to continue to increase (see the section on incidence in Cancer in Ontario).
  • Radiation utilization rates need to increase just to keep up with the resulting demand for care.
  • In past years, the expansion of radiation treatment centres has allowed Ontario to keep up with this increasing demand and improve utilization. If the province is to meet aggressive utilization targets while matching growing demand, however, radiation capacity also must increase.

Find out more

For more information on the Radiation Treatment Program, visit Cancer Care Ontario’s website

Notes

  1. Radiotherapy: quality and access issues. In: Sullivan T, Evans W, Angus H, Hudson A, editors. Strengthening the quality of cancer services in Ontario. Ottawa: CHA Press; 2003. 
  2. Zhang-Salomons J, Mackillop WJ. Estimating the lifetime utilization rate of radiotherapy in cancer patients: the Multicohort Current Utilization Table (MCUT) method. Comput Method Prog Biomed. 2008;92(1):99–108.