Karen Wong

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.

Estimation of an Optimal Utilisation Rate for Palliative Radiotherapy in Newly Diagnosed Cancer Patients

AIMS An optimal utilisation rate for palliative radiotherapy in newly diagnosed cancers will be useful in the planning and delivery of cancer services and has not been reported to date. The aim of this study was to estimate the proportion of new cases of cancer that should receive palliative radiotherapy as their first course of radiotherapy at some time during the course of their illness. MATERIALS AND METHODS A previously developed model depicting indications for radiotherapy was merged with Australian cancer epidemiological data and re-analysed to identify palliative or radical treatment end points. Palliative radiotherapy end points were further divided by treatment site. The optimal palliative radiotherapy utilisation rates were compared with actual radiotherapy utilisation data for newly diagnosed cancers. RESULTS Fourteen per cent of all new cancer cases should optimally receive palliative radiotherapy as their first course of radiotherapy treatment. Comparisons with actual radiotherapy utilisation rates from New South Wales, Australia, show that for some common cancers, more newly diagnosed patients receive palliative radiotherapy as their first radiotherapy treatment than would be optimally recommended in this model. This suggests that many patients in New South Wales are not currently being referred for curative treatment. CONCLUSION Palliative radiotherapy is optimally recommended as the first course of radiotherapy in 14% of all newly diagnosed cancers.

Positron emission tomography and colorectal cancer

Colorectal cancer (CRC) is a major cause of cancer-related morbidity and mortality. Molecular imaging using positron emission tomography (PET) is now an integral part of multidisciplinary cancer care. In this review, we discuss the role of PET in CRC including well established indications in the assessment of recurrent disease and emerging applications such as initial staging, monitoring therapy efficacy and using PET for radiotherapy planning. With rapid advancement in imaging technology, we also discuss the future potential of combining PET and magnetic resonance imaging and the use of novel radiotracers.

Evidence-based optimal number of radiotherapy fractions for cancer: A useful tool to estimate radiotherapy demand.

BACKGROUND AND PURPOSE The recently updated optimal radiotherapy utilisation model estimated that 48.3% of all cancer patients should receive external beam radiotherapy at least once during their disease course. Adapting this model, we constructed an evidence-based model to estimate the optimal number of fractions for notifiable cancers in Australia to determine equipment and workload implications. MATERIALS AND METHODS The optimal number of fractions was calculated based on the frequency of specific clinical conditions where radiotherapy is indicated and the evidence-based recommended number of fractions for each condition. Sensitivity analysis was performed to assess the impact of variables on the model. RESULTS Of the 27 cancer sites, the optimal number of fractions for the first course of radiotherapy ranged from 0 to 23.3 per cancer patient, and 1.5 to 29.1 per treatment course. Brain, prostate and head and neck cancers had the highest average number of fractions per course. Overall, the optimal number of fractions was 9.4 per cancer patient (range 8.7-10.0) and 19.4 per course (range 18.0-20.7). CONCLUSIONS These results provide valuable data for radiotherapy services planning and comparison with actual practice. The model can be easily adapted by inserting population-specific epidemiological data thus making it applicable to other jurisdictions.

Estimation of the optimal number of radiotherapy fractions for breast cancer: A review of the evidence

BACKGROUND AND PURPOSE There is variation in radiotherapy fractionation practice, however, there is no evidence-based benchmark for appropriate activity. An evidence-based model was constructed to estimate the optimal number of fractions for the first course of radiotherapy for breast cancer to aid in services planning and performance benchmarking. MATERIALS AND METHODS The published breast cancer radiotherapy utilisation model was adapted. Evidence-based number of fractions was added to each radiotherapy indication. The overall optimal number of fractions was calculated based on the frequency of specific clinical conditions where radiotherapy is indicated and the recommended number of fractions for each condition. Sensitivity analysis was performed to assess the impact of uncertainties on the model. RESULTS For the entire Australian breast cancer patient population, the estimated optimal number of fractions per patient was 16.8, 14.6, 13.7 and 0.8 for ductal carcinoma in situ, early, advanced and metastatic breast cancer respectively. Overall, the optimal number of fractions per patient was 14.4 (range 14.4-18.7). CONCLUSIONS These results allow comparison with actual practices, and workload prediction to aid in services planning. The model can be easily adapted to other countries by inserting population-specific epidemiological data, and to future changes in cancer incidence, stage distribution and fractionation recommendations.

Laparoscopic insertion of pelvic tissue expander to prevent radiation enteritis prior to radiotherapy for prostate cancer

Radiation enteritis is a significant complication of external beam radiotherapy (EBRT) to the pelvis, particularly in patients having high dose radiotherapy (>80 Gy) and in those with a low pelvic peritoneal reflection allowing loops of small bowel to enter the radiation field. Laparoscopic insertion and subsequent removal of a pelvic tissue expander before and after external beam radiotherapy is a relatively convenient, safe and effective method for displacing loops of bowel out of the pelvis. We report on a patient with prostate cancer who ordinarily would not have been a candidate for EBRT due to loops of bowel low in the pelvis. With laparoscopic insertion and subsequent removal of a tissue expander, he was able to have radiotherapy to the prostate without developing radiation enteritis.

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.

Estimating the number of fractions by tumour site for European countries in 2012 and 2025: An ESTRO-HERO analysis

BACKGROUND AND PURPOSE The optimal number of radiotherapy fractions is a relevant input for planning resource needs. An estimation of the total number of fractions by country and tumour site is assessed for 2012 and 2025. METHODS European cancer incidence data by tumour site and country for 2012 and 2025 were extracted from the GLOBOCAN database. Incidence and stage data were introduced in the Australian Collaboration for Cancer Outcomes Research and Evaluation (CCORE) model, producing an evidence-based proportion of incident cases with an indication for radiotherapy and fractions by indication. An indication was defined as a clinical situation in which radiotherapy was the treatment of choice. RESULTS The total number of fractions if radiotherapy was given according to guidelines to all patients with an indication in Europe was estimated to be 30 million for 2012; with a forecasted increase of 16.1% by 2025, yet with differences by country and tumour. The average number of fractions per course was 17.6 with a small range of differences following stage at diagnosis. Among the treatments with radical intent the average was 24 fractions, while it decreased to 2.5 among palliative treatments. DISCUSSION An increase in the total number of fractions is expected in many European countries in the coming years following the trends in cancer incidence. In planning radiotherapy resources, these increases should be balanced to the evolution towards hypofractionation, along with increased complexity and quality assurance.

Prostatectomy versus radiotherapy for early-stage prostate cancer (PREPaRE) study: protocol for a mixed-methods study of treatment decision-making in men with localised prostate cancer

Background Men diagnosed with localised prostate cancer (LPC) wanting curative treatment face a highly preference-sensitive choice between prostatectomy and radiotherapy, which offer similar cure rates but different side effects. This study aims to determine the information, decision-making needs and preferences of men with LPC choosing between robotic prostatectomy and standard external beam or stereotactic radiotherapy. Methods and analysis This study will be conducted at a large public teaching hospital in Australia offering the choice between robotic prostatectomy and radiotherapy from early 2017. Men (20–30) diagnosed with LPC who want curative treatment and meet criteria for either treatment will be invited to participate. In this mixed-methods study, patients will complete semistructured interviews before and after attending a combined clinic in which they consult a urologist and a radiation oncologist regarding treatment and four questionnaires (one before treatment decision-making and three after) assessing demographic and clinical characteristics, involvement in decision-making, decisional conflict, satisfaction and regret. Combined clinic consultations will also be audio-recorded and clinicians will report their perceptions regarding patients’ suitability for, openness to and preferences for each treatment. Qualitative data will be transcribed verbatim and thematically analysed and descriptive statistical analyses will explore quantitative decision-making outcomes, with comparison according to treatment choice. Discussion Results from this study will inform how to best support men diagnosed with LPC deciding which curative treatment option best suits their needs and may identify the need for and content required in a decision aid to support these men. Ethics and dissemination All participants will provide written informed consent. Data will be rigorously managed in accordance with national legislation. Results will be disseminated via presentations to both scientific and layperson audiences and publications in peer-reviewed scientific journals.