Current and projected gaps in the availability of radiotherapy in the Asia-Pacific region: a country income-group analysis.

BACKGROUND: Cancer incidence and mortality is increasing rapidly worldwide, with a higher cancer burden observed in the Asia-Pacific region than in other regions. To date, evidence-based modelling of radiotherapy demand has been based on stage data from high-income countries (HIC) that do not account for the later stage at presentation seen in many low-income and middle-income countries (LMICs). We aimed to estimate the current and projected demand and supply in megavoltage radiotherapy machines in the Asia-Pacific region, using a national income-group adjusted model. METHODS: Novel LMIC radiotherapy demand and outcome models were created by adjusting previously developed models that used HIC cancer staging data. These models were applied to the cancer case mix (ie, the incidence of each different cancer) in each LMIC in the Asia-Pacific region to estimate the current and projected optimal radiotherapy utilisation rate (ie, the proportion of cancer cases that would require radiotherapy on the basis of guideline recommendations), and to estimate the number of megavoltage machines needed in each country to meet this demand. Information on the number of megavoltage machines available in each country was retrieved from the Directory of Radiotherapy Centres. Gaps were determined by comparing the projected number of megavoltage machines needed with the number of machines available in each region. Megavoltage machine numbers, local control, and overall survival benefits were compared with previous data from 2012 and projected data for 2040. FINDINGS: 57 countries within the Asia-Pacific region were included in the analysis with 9·48 million new cases of cancer in 2020, an increase of 2·66 million from 2012. Local control was 7·42% and overall survival was 3·05%. Across the Asia-Pacific overall, the current optimal radiotherapy utilisation rate is 49·10%, which means that 4·66 million people will need radiotherapy in 2020, an increase of 1·38 million (42%) from 2012. The number of megavoltage machines increased by 1261 (31%) between 2012 and 2020, but the demand for these machines increased by 3584 (42%). The Asia-Pacific region only has 43·9% of the megavoltage machines needed to meet demand, ranging from 9·9-40·5% in LMICs compared with 67·9% in HICs. 12 000 additional megavoltage machines will be needed to meet the projected demand for 2040. INTERPRETATION: The difference between supply and demand with regard to megavoltage machine availability has continued to widen in LMICs over the past decade and is projected to worsen by 2040. The data from this study can be used to provide evidence for the need to incorporate radiotherapy in national cancer control plans and to inform governments and policy makers within the Asia-Pacific region regarding the urgent need for investment in this sector. FUNDING: The Regional Cooperative Agreement for Research, Development and Training Related to Nuclear Science and Technology for Asia and the Pacific (RCA) Regional Office (RCARP03).

Translation of oncology multidisciplinary team meeting (MDM) recommendations into clinical practice.

BACKGROUND: Multidisciplinary team meeting (MDM) processes differ according to clinical setting and tumour site. This can impact on decision making. This study aimed to evaluate the translation of MDM recommendations into clinical practice across solid tumour MDMs at an academic centre. METHODS: A retrospective audit of oncology records was performed for nine oncology MDMs held at Liverpool Hospital, NSW, Australia from 1/2/17-31/7/17. Information was collected on patient factors (age, gender, country of birth, language, postcode, performance status, comorbidities), tumour factors (diagnosis, stage) and MDM factors (number of MDMs, MDM recommendation). Management was audited up to a year post MDM to record management and identify reasons if discordant with MDM recommendations. Univariate and multivariable regression analyses were performed to assess for factors associated with concordant management. RESULTS: Eight hundred thirty-five patients were discussed, median age was 65 years and 51.4% were males. 70.8% of patients were presented at first diagnosis, 77% discussed once and treatment recommended in 73.2%. Of 771 patients assessable for concordance, management was fully concordant in 79.4%, partially concordant in 12.8% and discordant in 7.8%. Concordance varied from 84.5% for lung MDM to 97.6% for breast MDMs. On multivariable analysis, breast and upper GI MDMs and discussion at multiple MDMs were significantly associated with concordant management. The most common reason for discordant management was patient/guardian decision (28.3%). CONCLUSION: There was variability in translation of MDM recommendations into clinical practice by tumour site. Routine measurement of implementation of MDM recommendations should be considered as a quality indicator of MDM practice.

Surgical and radiotherapy patterns of care in the management of breast cancer in NSW and ACT Australia.

INTRODUCTION: This study aims to report on the surgical and radiotherapy patterns of breast cancer care in New South Wales (NSW) and Australian Capital Territory (ACT) in Australia, to identify factors that impact on utilisation of evidence-based treatment and to report on the overall survival (OS) rate and the influencing factors on OS. METHODS: Cancer registry data linked to hospital records for all patients with breast cancer diagnosis in NSW and ACT between 2009 and 2014 were used to calculate rates of breast conserving surgery (BCS), mastectomy, sentinel lymph node biopsy (SLNB), axillary lymph node dissection (ALND) and radiotherapy. Multivariate analysis used to identify factors that led to variations in care. 5-year OS was calculated and cox regression model assessed factors that influenced survival. RESULTS: Data for 30,337 patients were analysed. BCS and mastectomy rates were 64% and 36%, respectively. The SLNB, ALND and ALND after SLNB rates were 61.5%, 32.1% and 6.4%, respectively. Radiotherapy was utilised in 63%. Younger age, socio-economic disadvantage, longer distance to a radiotherapy facility and overseas place of birth were factors that predicted for increased rates of mastectomy and ALND. Radiotherapy was more likely to be utilised in later years of diagnosis, patients between 40-69 years old, and those who lived in major cities and closer to a radiotherapy facility. 5-year OS was 80.5%. Older patients, the socioeconomically disadvantaged and those advanced tumours had worse survival. CONCLUSION: Variations in breast cancer care continue to exist in certain patient groups that we identified. Targeted strategic planning and further research to identify other drivers of existing disparities remain a priority.

Predicting 2-year survival in stage I-III non-small cell lung cancer: the development and validation of a scoring system from an Australian cohort.

BACKGROUND: There are limited data on survival prediction models in contemporary inoperable non-small cell lung cancer (NSCLC) patients. The objective of this study was to develop and validate a survival prediction model in a cohort of inoperable stage I-III NSCLC patients treated with radiotherapy. METHODS: Data from inoperable stage I-III NSCLC patients diagnosed from 1/1/2016 to 31/12/2017 were collected from three radiation oncology clinics. Patient, tumour and treatment-related variables were selected for model inclusion using univariate and multivariate analysis. Cox proportional hazards regression was used to develop a 2-year overall survival prediction model, the South West Sydney Model (SWSM) in one clinic (n = 117) and validated in the other clinics (n = 144). Model performance, assessed internally and on one independent dataset, was expressed as Harrell's concordance index (c-index). RESULTS: The SWSM contained five variables: Eastern Cooperative Oncology Group performance status, diffusing capacity of the lung for carbon monoxide, histological diagnosis, tumour lobe and equivalent dose in 2 Gy fractions. The SWSM yielded a c-index of 0.70 on internal validation and 0.72 on external validation. Survival probability could be stratified into three groups using a risk score derived from the model. CONCLUSIONS: A 2-year survival model with good discrimination was developed. The model included tumour lobe as a novel variable and has the potential to guide treatment decisions. Further validation is needed in a larger patient cohort.

Trends in the use of short-course radiation therapy for rectal cancer in New South Wales, Australia.

INTRODUCTION: Trends in the use of short-course radiation therapy (RT) for rectal cancer in Australia are unknown. The purpose of this study was to compare short-course RT and long-course chemoradiation (CRT) utilisation in the neoadjuvant treatment of rectal cancer in New South Wales (NSW). METHODS: Patients who received neoadjuvant RT (2009-2014) for rectal cancer were identified from the NSW Central Cancer Registry. Univariate and multivariable analyses were performed to investigate factors associated with receipt of short-course RT. RESULTS: A total of 1196 (81%) patients received long-course CRT, and 274 (19%) patients received short-course RT. Receipt of short-course RT was associated with older age: 54% in patients ≥80 years, and 11% in patients <50 years (P < 0.0001). Patients with T2 disease (30%) were more likely to receive short-course RT, compared with T3 (19%) or T4 (8%) disease (P = 0.002). Patients with N0 (23%) disease were more likely to be treated with short-course RT, compared with N+ (16%) (P = 0.03). The proportion of short-course RT delivered to patients with Charlson Comorbidity Index (CCI) ≥ 2 (28%) was higher than patients with CCI = 0 (17%) (P = 0.002). There was wide variation in the proportion of short-course RT used across residence local health districts (5-29%) (P < 0.0001). CONCLUSION: In rectal cancer patients treated with neoadjuvant RT in NSW, 19% received short-course RT. The use of short-course RT was associated with older age, comorbidities and less advanced disease. Wide variation across NSW was identified and future research investigating factors for the variation will be useful.

Do multidisciplinary team meetings make a difference in the management of lung cancer?

BACKGROUND: There is limited evidence regarding the effectiveness of multidisciplinary team (MDT) meetings in lung cancer. The objective of this study was to compare the patterns of care for patients with newly diagnosed lung cancer who were presented at a lung cancer MDT meeting with the patterns of care for patients who were not presented. METHODS: All patients who had lung cancer newly diagnosed in South West Sydney (SWS) between December 1, 2005, and December 31, 2008, were identified from the local Clinical Cancer Registry. Patient and tumor characteristics and treatment receipt were compared between patients who were and were not presented at MDT meetings. A logistic regression model was constructed to determine predictors for receiving treatment and survival. RESULTS: In total, there were 988 patients, including 504 patients who were presented at MDT meetings and 484 who were not presented at MDT meetings. The median patient age was 69 years and 73 years in the MDT group and the non-MDT group, respectively (P < .01). There was no pathologic diagnosis for 13% of non-MDT patients compared with 4% of MDT patients (P < .01). Treatment receipt for MDT patients versus non-MDT patients was 12% versus 13%, respectively, for surgery (P value nonsignificant); 66% versus 33%, respectively, for radiotherapy (P < .001); 46% versus 29%, respectively, for chemotherapy (P < .001); and 66% versus 53%, respectively, for palliative care (P < .001). In patients with good performance status, the MDT group had significantly better receipt of radiotherapy among patients with stage I through IV nonsmall cell lung cancer (NSCLC) and had significantly better receipt of chemotherapy among patients with stage IV NSCLC. MDT discussion was an independent predictor of receiving radiotherapy, chemotherapy, and referral to palliative care but did not influence survival. CONCLUSIONS: MDT discussion was associated with better treatment receipt, which potentially may improve quality of life for patients with lung cancer. However, it did not improve survival.

Radiotherapy service need in the Pacific Island countries.

BACKGROUND: Pacific Island Countries and Territories (PICTs) have experienced an increase in cancer burden in the recent years. There is need for major investments in the cancer treatment facilities including radiotherapy (RT). AIMS: This study aimed to provide a quantitative estimation of the effect of establishing new RT facilities on patient access through Geographic Information System (GIS) modelling of population density and service availability to assess the best location for a new RT centre when there are multiple competing locations. METHODS: Methods involved cancer epidemiological data collection and assessing RT demand (proportion needing RT) in 2040, assessment of current RT facilities meeting the demand, GIS-based assessment of minimal travel distance in relation to RT demand and scenario-based location planning with adoption of the principles of efficiency, availability and equity for establishment of suitability of new RT facilities. RESULTS: In 2040, three highest new cancer case projections are for Papua New Guinea (PNG) (22662), Fiji (2058) and New Caledonia (2037). Twenty-nine megavoltage machines (MVMs) are needed to meet adequate RT demand with three existing in New Caledonia, Guam and French Polynesia meeting 2-6% demand. PNG with highest RT demand of 68% and Fiji with second highest (6%) demand are found as the choice venues for maximum accessibility of cancer population within the PICTs. CONCLUSION: The travel distance-based GIS modelling estimation of establishment of new RT facilities will provide useful information for planning of RT services in the PICTS with improved patient outcome.

Variation in the use of radiotherapy fractionation for breast cancer: Survival outcome and cost implications.

BACKGROUND AND PURPOSE: Substantial variation in the adoption of hypofractionation for breast radiation therapy has been observed, despite the availability of consensus guidelines. This study aimed to investigate the variation in radiation therapy fractionation in breast cancer patients in New South Wales (NSW), Australia, and to estimate survival outcome and cost implications. MATERIALS AND METHODS: This is a population-based cohort of patients who received radiation therapy for breast cancer (2009-2013), as captured in the NSW Central Cancer Registry. A logistic regression model was used to identify factors associated with fractionation type. Survival outcome was estimated using multivariable Cox proportional hazards model. Cost per treatment and potential cost saving associated with evidence-based fractionation was estimated. RESULTS: A total of 10,482 patients were available for analysis, divided into 3 cohorts (breast alone: N = 7000; breast + nodes: N = 1119; all chestwall: N = 2363). In multivariable analysis, increasing age, laterality (right), year of treatment (2013), early stage, lower socioeconomic status, and regional area of residence were independent predictors of hypofractionation for breast alone radiation therapy. For the breast + nodes and chest wall cohorts, common factors that predicted the use of hypofractionation were increasing age. In multivariable survival analysis, there was no difference between the fractionation regimens at 5 years. Estimated radiation therapy cost of this cohort approximated $52.1 million, compared with $38.5 million had these patients been treated with evidence-based fractionation. This demonstrated a potential saving of $13.6 million. CONCLUSION: Hypofractionation appears underused for breast radiation therapy in NSW over time. This study highlights that evidence-based practice will translate to reduced health care treatment costs.

Quality management in radiation therapy: A 15 year review of incident reporting in two integrated cancer centres.

Fifteen years of reported incidents were reviewed to provide insight into the effectiveness of an Incident Learning System (ISL). The actual error rate over the 15 years was 1.3 reported errors per 1000 treatment attendances. Incidents were reviewed using a regression model. The average number of incidents per year and the number of incidents per thousand attendances declined over time. Two seven-year periods were considered for analysis and the average for the first period (2005-2011) was 6 reported incidents per 1000 attendances compared to 2 incidents for the later period (2012-2018), p < 0.05. SAC 1 and SAC 2 errors have reduced over time and the reduction could be attributed to the quality assurance aspect of IGRT where the incident is identified prior to treatment delivery rather than after, reducing the severity of any potential incidents. The reasoning behind overall reduction in incident reporting over time is unclear but may be associated to quality and technology initiatives, issues with the ISL itself or a change in the staff reporting culture.

Radiotherapy underutilisation and its impact on local control and survival in New South Wales, Australia.

BACKGROUND AND PURPOSE: This study aimed to identify the actual radiotherapy utilisation rate (A-RUR) in New South Wales (NSW) Australia for 2009-2011 and compare that to the published evidence-based optimal radiotherapy utilisation rate (O-RUR) and to previously reported A-RUR in NSW in 2004-2006. It also aimed to estimate the effect of underutilisation on 5-year local control (LC) and overall survival (OS) and identify factors that predict for underutilisation. MATERIALS AND METHODS: All cases of registered cancer diagnosed in NSW between 2009 and 2011 were identified from the NSW Central Cancer Registry and linked with data from all radiotherapy departments. The A-RUR was calculated and compared with O-RURs for all cancers. The difference for each indication was used to estimate 5-year OS and LC shortfall. Univariate and multivariate analyses were performed to identify factors that correlated with reduced radiotherapy utilisation. RESULTS: 110,645 cancer cases were identified. 25% received radiotherapy within one year of diagnosis compared to an estimated optimal rate of 45%. This has marginally improved from previously reported rate of 22% in NSW in 2004-2006. We estimated that 5-year OS and LC were compromised in 1162 and 5062 patients respectively. Factors that predicted for underuse of radiotherapy were older age, male gender, lower socioeconomic status, increasing distance to nearest radiotherapy centre and localised disease. CONCLUSION: The identified deficit in radiotherapy use has a significant negative impact on patient outcomes. Strategies to overcome such shortfalls need to be developed to improve radiotherapy use and patient outcomes.

Radiotherapy patterns of care for stage I and II non-small cell lung cancer in Sydney, Australia.

INTRODUCTION: Curative radiotherapy is guideline treatment for inoperable patients of good performance status with Stage I & II Non-Small Cell Lung Cancer (NSCLC). The aim of this study was to evaluate radiotherapy patterns of care in these patients, the reasons for palliative treatment and the proportion of patients suitable for curative stereotactic ablative body radiotherapy (SABR). METHODS: Electronic oncology databases at three institutions were queried to retrieve data on patients with inoperable Stage I & II NSCLC seen in radiation oncology clinics between 1/1/2008 and 31/12/2014. Suitability for SABR was defined as peripheral tumours less than 5 cm in size. Factors associated with curative treatment were determined using univariate and multivariate analyses. RESULTS: Three-hundred-and-twelve patients were identified of whom 178 (57%) received curative radiotherapy, 58 (19%) palliative radiotherapy and 76 (24%) no radiotherapy. The main reason for receiving palliative rather than curative treatment was COPD or poor pulmonary function (26%). Method of diagnosis (P = 0.031), Simplified Comorbidity Score (P = 0.003), ECOG performance status (P = 0.016), FEV1% (P = 0.040), treating institution (P < 0.0001) and time period (P = 0.016) were associated with curative radiotherapy on multivariate analysis. In patients with T1-2N0M0 NSCLC, 19 (31%) who did not receive treatment and 7 (21%) who underwent palliative radiotherapy were technically and clinically suitable for SABR. CONCLUSION: Only 57% of patients with Stage I-II NSCLC were treated with curative radiotherapy. Patient factors were the predominant reason for palliative treatment, however, treating institution also played a role. A considerable proportion of patients who underwent palliative or no radiotherapy were suitable for SABR treatment.

Patterns of follow-up care after curative radiotherapy ± chemotherapy for stage I-III non-small cell lung cancer.

OBJECTIVES: To describe patterns of follow-up care for non-small cell lung cancer patients treated with curative radiotherapy and to evaluate the role of routine imaging. MATERIALS AND METHODS: We retrospectively analyzed follow-up care of patients with stage I-III non-small cell lung cancer treated with curative radiotherapy (minimum dose of 50 Gy) between 2007 and 2011 at three Sydney institutions. Patient demographics, tumor characteristics and treatment factors were collected from oncology and hospital records. Follow-up visits were recorded until an event (recurrence or new primary) was diagnosed or censor date was reached (December 31, 2016). Univariate and multivariate analyses were performed to identify factors associated with subsequent curative treatment and survival. RESULTS: Two-hundred and eighty-three patients were identified with a median age of 72 (36-91) years. Median number of follow-up visits was 6, and median time to first event was 10.8 months. Follow-up visits were by routine appointment in 74%, and symptomatic presentation in 26%. Variation in follow-up was seen across the three institutions in terms of imaging conducted and specialist seen. Recurrences were diagnosed in 175 patients of whom 85 were symptomatic and 90 diagnosed on routine imaging. New primaries were diagnosed in 23 patients, 18 with symptoms and 5 on routine imaging. Subsequent treatment was curative in 17 (10%) patients with recurrent disease and 18 (78%) with new primaries. On multivariable analysis, symptomatic diagnosis (P = 0.006) was associated with subsequent curative treatment but not with overall survival (P > 0.05). CONCLUSION: The follow-up of patients showed considerable variation between institutions. Routine imaging was not associated with subsequent curative treatment of events or improved overall survival.

Estimating the cost of radiotherapy for 5-year local control and overall survival benefit.

BACKGROUND AND PURPOSE: Escalating health care costs have led to greater efforts directed at measuring the cost and benefits of medical treatments. The aim of this study was to estimate the costs of 5-year local control and overall survival benefits of radiotherapy for the cancer population in Australia. MATERIALS AND METHODS: The local control and overall survival benefits of radiotherapy at 5-years and optimal number of fractions per course have been estimated for 26 tumour sites for which radiotherapy is indicated. For this study, a hybrid approach that merges features from activity based costing (ABC) and relative value units costing (RVU) were used to provide cost estimates. ABC methodology was used to allocate costs to all radiotherapy activities associated with each patient's treatment course, while the RVUs represent the cost of each radiotherapy activity relative to the average cost of all activities and were used to achieve a weighted cost allocation. A patient's journey for the financial year was constructed by consolidating all the radiotherapy activities and their associated costs, and the average cost per activity (fraction) was determined. The cost of radiotherapy per 5-year overall survival and local control was then estimated. RESULTS: The estimated population 5-year local control and overall survival benefits of radiotherapy for all cancer were 23% and 6%, respectively. The optimal number of fractions per treatment course if guidelines were followed was 19.4 fractions. The average cost per fraction for all cancer was AU$276. The estimated cost of radiotherapy was AU$23,585 per 5-year local control and AU$86,480 per 5-year overall survival (equivalent to 5 life years) for all cancer. CONCLUSION: The cost of AU$86,480 per 5-year overall survival would translate to AU$17,296 1-year overall survival. Therefore, the cost of radiotherapy is inexpensive if delivered optimally. Policy implications from this study include knowledge about cost to deliver radiotherapy to allow one to quantify the expected benefit at a population level.

Impact of radiotherapy underutilisation measured by survival shortfall, years of potential life lost and disability-adjusted life years lost in New South Wales, Australia.

BACKGROUND AND PURPOSE: Despite evidence of the benefits of radiotherapy (RT) in the treatment of cancer patients, its underutilisation has been reported for various tumour sites. The aim of this study was to estimate survival shortfall, 'years of potential life lost' (YPLL) and 'disability-adjusted life years lost' (DALY) to demonstrate the impact of radiotherapy underutilisation in Australia. MATERIALS AND METHODS: Optimal and actual RT utilisation (RTU) was compared to assess RT underutilisation to estimate 5-year overall survival shortfall using 2006 data from New South Wales (NSW) for 26 common tumour sites. 5-year overall survival shortfall is defined as number of people not surviving for 5-years due to RT underutilisation [=benefit proportion × shortfall [(optimal-actual RTU)/optimal RTU] proportion × No. of new cases]. YPLL = survival shortfall × estimated years of life lost per person (overall life expectancy - median age at death for specific cancer). DALY = (Years lived with disability + Years of life lost) × survival shortfall. RESULTS: The total number of new cases with cancer in 2006 in NSW was 20,741. Optimal RTU was 48% while actual RTU was 26%, resulting in estimated of 411 deaths due to underutilisation. Each death resulted in an average of 10.4 YPLL and 17.5 DALY. It was estimated RT underutilisation resulted in a total of 4,289 YPLL and 7,192 DALY overall. CONCLUSION: This study illustrates the value of considering different mortality statistics, which include measures of the burden of cancer deaths on both the population and patients.

An evidence-based estimation of local control and survival benefit of radiotherapy for breast cancer.

BACKGROUND AND PURPOSE: Survival benefits from radiotherapy for breast cancer described in randomised trials represent only those patients eligible for trials. We estimated the benefit of radiotherapy as an adjuvant treatment for the entire population of breast cancer patients if evidence-based treatment guidelines were followed. MATERIALS AND METHODS: Evidences on 10-year local control and overall survival gain (radiotherapy vs no radiotherapy) were identified from review of literature. The data were incorporated into the optimal radiotherapy utilization tree that we previously reported for all categories of breast cancer patients and overall local control and survival benefits were estimated. RESULTS: The gains in 10-year local control and overall survival from optimal treatment of all breast cancer patients were 11.1% (95% CI 10.8-11.2%) and 3.1% (95% CI 3.0-3.4%), respectively. The stage-based estimates in local control and survival benefit were: 8% and 0% for Ductal Carcinoma in situ (DCIS), 12% and 2% for stage I-II cancers and 13% and 20% for stage III cancers. CONCLUSIONS: Our model was able to estimate the contribution of radiotherapy in breast cancer treatment if all patients were treated according to the recommended guidelines. These estimates could be used to benchmark population-based survival reports and to assess the cost-effectiveness of radiotherapy for breast cancer treatment.

Estimation of the optimal utilisation rates of radical prostatectomy, external beam radiotherapy and brachytherapy in the treatment of prostate cancer by a review of clinical practice guidelines.

BACKGROUND AND PURPOSE: We aimed to construct an evidence-based model of optimal treatment utilisation for prostate cancer, incorporating all local treatment modalities: radical prostatectomy (RP), external beam radiotherapy (EBRT), and brachytherapy (BT); and then to compare this optimal model with actual practice. MATERIALS AND METHODS: Evidence-based guidelines were used to construct a prostate cancer treatment decision-tree. The proportion of patients who fulfilled treatment criteria was drawn from the epidemiological literature. These data were combined to calculate the overall proportion of patients that should optimally have RP, EBRT and/or BT at least once during the course of their disease. The model was peer reviewed and tested by sensitivity analyses and compared with actual practice. RESULTS: Optimal utilisation rates, at some point during the disease course, were: RP, 24% (range 15-30%); EBRT, 58% (range 54-64%); BT, 9.6% (range 6.0-17.9%); and any RT, 60% (range 56-66%). Many patients had indications for more than one of these treatments, and at least one of these treatments was indicated in 76% of patients. The model was sensitive to patient preference estimates. Optimal rates were achievable in some health care jurisdictions. CONCLUSIONS: Modelling optimal utilisation of all local treatment options for a particular cancer is possible. These optimal prostate cancer treatment rates can be used as a planning and quality assurance tool, providing an evidence-based benchmark against which can be measured patterns of practice.

Comparison of Magnetic Resonance Imaging and Computed Tomography for Breast Target Volume Delineation in Prone and Supine Positions.

PURPOSE: To determine whether T2-weighted MRI improves seroma cavity (SC) and whole breast (WB) interobserver conformity for radiation therapy purposes, compared with the gold standard of CT, both in the prone and supine positions. METHODS AND MATERIALS: Eleven observers (2 radiologists and 9 radiation oncologists) delineated SC and WB clinical target volumes (CTVs) on T2-weighted MRI and CT supine and prone scans (4 scans per patient) for 33 patient datasets. Individual observer's volumes were compared using the Dice similarity coefficient, volume overlap index, center of mass shift, and Hausdorff distances. An average cavity visualization score was also determined. RESULTS: Imaging modality did not affect interobserver variation for WB CTVs. Prone WB CTVs were larger in volume and more conformal than supine CTVs (on both MRI and CT). Seroma cavity volumes were larger on CT than on MRI. Seroma cavity volumes proved to be comparable in interobserver conformity in both modalities (volume overlap index of 0.57 (95% Confidence Interval (CI) 0.54-0.60) for CT supine and 0.52 (95% CI 0.48-0.56) for MRI supine, 0.56 (95% CI 0.53-0.59) for CT prone and 0.55 (95% CI 0.51-0.59) for MRI prone); however, after registering modalities together the intermodality variation (Dice similarity coefficient of 0.41 (95% CI 0.36-0.46) for supine and 0.38 (0.34-0.42) for prone) was larger than the interobserver variability for SC, despite the location typically remaining constant. CONCLUSIONS: Magnetic resonance imaging interobserver variation was comparable to CT for the WB CTV and SC delineation, in both prone and supine positions. Although the cavity visualization score and interobserver concordance was not significantly higher for MRI than for CT, the SCs were smaller on MRI, potentially owing to clearer SC definition, especially on T2-weighted MR images.

Estimating the demand for radiotherapy from the evidence: a review of changes from 2003 to 2012.

BACKGROUND AND PURPOSE: In 2003 we estimated that 52.3% of new cases of cancer in Australia had an indication for external beam radiotherapy at least once at some time during the course of their illness. This update reviews the contemporary evidence to define the optimal proportion of new cancers that would benefit from radiotherapy as part of their treatment and estimates the changes to the optimal radiotherapy utilisation rate from 2003 to 2012. MATERIALS AND METHODS: National and international guidelines were reviewed for external beam radiotherapy indications in the management of cancers. Epidemiological data on the proportion of new cases of cancer with each indication for radiotherapy were identified. Indications and epidemiological data were merged to develop an optimal radiotherapy utilisation tree. Univariate and Monte Carlo simulations were used in sensitivity analysis. RESULTS: The overall optimal radiotherapy utilisation rate (external beam radiotherapy) for all registered cancers in Australia changed from 52.3% in 2003 to 48.3% in 2012. Overall 8.9% of all cancer patients in Australia have at least one indication for concurrent chemo-radiotherapy during the course of their illness. CONCLUSIONS: The reduction in the radiotherapy utilisation rate was due to changes in epidemiological data, changes to radiotherapy indications and refinements of the model structure.

A comparison of systemic breast cancer therapy utilization in Canada (British Columbia), Scotland (Dundee), and Australia (Western Australia) with models of "optimal" therapy.

BACKGROUND: Different jurisdictions report different breast cancer treatment rates. Evidence-based optimal utilization models may be specific to the derived population. We compared predicted optimal with actual endocrine and chemotherapy utilization in British Columbia, Canada; Dundee, Scotland; and Perth, Western Australia. DESIGN: Data were analyzed for differences in demography, tumour, and treatment. Epidemiological data were fitted to published Australian optimal radiotherapy utilization trees and region-specific optimal treatment rates were calculated. Optimal and actual systemic therapy rates from 2 population-based and 1 institution-based cancer registries were compared for patients diagnosed with breast cancer between 2000-2004, and 2002 for British Columbia. RESULTS: Chemotherapy rates differed between British Columbia (32%), Perth (29%), and Dundee (24%, p = 0.014). Endocrine therapy rates were similar between British Columbia (56%), Perth (59%), and Dundee (64%, p > 0.05). Actual utilization rates were lower than optimal estimates for chemotherapy, but higher for endocrine therapy. Region-specific optimal utilization rates at diagnosis varied between 50-56% for chemotherapy, and 49-54% for endocrine therapy. Variation was attributed to local differences in demographics, and tumour stage. CONCLUSION: Actual treatment rates varied. There was lower than estimated optimal chemotherapy use but higher than expected use of endocrine therapy.

An international review of patient safety measures in radiotherapy practice.

Errors from radiotherapy machine or software malfunction usually are well documented as they affect hundreds of patients, whereas random errors affecting individual patients are more difficult to be discovered and prevented. Although major clinical radiotherapy incidents have been reported, many more have remained unrecognised or have not been reported. The literature in this field is limited as it is mostly published as a result of investigation of major errors. We present a review of radiotherapy incidents internationally with the aim of identifying the domains where most errors occur through extensive review and synthesis of published reports, unpublished 'Grey literature' and departmental incident data. Our review of radiotherapy-related events in the last three decades (1976-2007) identified more than seven thousand (N=7741) incidents and near misses. Three thousand one hundred and twenty-five incidents reported patient harm of variable intensity ranging from underdose increasing the risk of recurrence, to overdose causing toxicity, and even death for 1% (N=38); 4616 events were near misses with no recognisable patient harm. Based on our review, a radiotherapy risk profile has been published by the WHO World Alliance for Patient Safety that highlights the role of communication, training and strict adherence to guidelines/protocols in improving the safety of radiotherapy process.