Real-world tolerance and outcomes of oxaliplatin-based adjuvant chemotherapy for stage III colon cancer-Does dose intensity matter?

INTRODUCTION: Fluoropyrimidine and oxaliplatin-based adjuvant chemotherapy delivered as 5-fluorouracil, leucovorin and oxaliplatin (FOLFOX), or capecitabine and oxaliplatin (CAPOX) is the standard of care for resected stage III colon cancer. Without randomized trial data, we compared real-world dose intensity, survival outcomes, and tolerability of these regimens. METHODS: Records of patients treated with FOLFOX or CAPOX in the adjuvant setting for stage III colon cancer across four institutions in Sydney during 2006-2016 were reviewed. The relative dose intensity (RDI) of fluoropyrimidine and oxaliplatin of each regimen, disease-free survival (DFS), overall survival (OS), and incidence of grade ≥2 toxicities were compared. RESULTS: Characteristics of patients receiving FOLFOX (n = 195) and CAPOX (n = 62) were evenly matched. FOLFOX patients had a higher mean RDI for both fluoropyrimidine (85% vs. 78%, p < 0.01) and oxaliplatin (72% vs. 66%, p = 0.06). In spite of a lower RDI, CAPOX patients trended toward a better 5-year DFS (84% vs. 78%, HR = 0.53, p = 0.068) and similar OS (89% vs. 89%, HR = 0.53, p = 0.21) compared to the FOLFOX group. This difference was most pronounced in the high-risk (T4 or N2) group where 5-year DFS was 78% versus 67% (HR = 0.41, p = 0.042). Patients receiving CAPOX experienced more grade ≥2 diarrhea (p = 0.017) and hand-foot syndrome (p < 0.001) but not peripheral neuropathy or myelosuppression. CONCLUSION: In a real-world setting, patients who received CAPOX had similar OS rates when compared to those receiving FOLFOX in the adjuvant setting in spite of lower RDI. In the high-risk population, CAPOX appears to demonstrate a superior 5-year DFS over FOLFOX.

Development of an age- and comorbidity- adjusted optimal radiotherapy utilisation rate for lung, rectal, prostate and cervical cancers.

INTRODUCTION: Optimal radiotherapy utilisation (RTU) modelling estimates the proportion of people with cancer who would benefit from radiotherapy. Assessment of comorbidities is an important component of the assessment of suitability for radiotherapy in addition to chronological age and life expectancy. Comorbidities have not been considered in previous optimal RTU models. We aimed to develop an age- and comorbidity- adjusted optimal RTU model for patients with lung, rectal, prostate, and cervical cancer, and compare them to actual RTU rates, with a particular focus on those aged 80+ years, METHODS: New South Wales (NSW) Cancer Registry data (2010-2014) linked to radiotherapy data (2010-2015) and hospitalisation data (2008-2015) were used to determine the number of patients diagnosed with lung, rectal, prostate and cervical cancer. The Cancer Specific C3 'all sites' comorbidity index was calculated from hospital diagnosis data for each patient to determine suitability for radiotherapy. The index was then incorporated into a tumour site-specific decision tree model. The actual RTU was also calculated using the linked datasets. RESULTS: 14,696 patients were diagnosed with non-small cell lung cancer (NSCLC), 1839 with small cell lung cancer (SCLC), 5551 with rectal cancer, 30,935 with prostate cancer and 1216 with cervical cancer in New South Wales from 2010-2014. The proportion of patients aged 80+ years at cancer diagnosis was 25% (3603 patients), 15% (279 patients), 17% (943 patients), 12% (3745 patients), and 7% (88 patients) respectively. The age- and comorbidity- adjusted optimal RTU rates for patients aged 80+ years using the C3 index were 49% (NSCLC), 49% (SCLC), 43% (rectal), 51% (prostate) and 40% (cervical). The corresponding actual RTU rates for patients aged 80+ years were 25%, 32%, 27%, 16%, and 56%. CONCLUSION: Even after adjusting for age and comorbidities, the actual radiotherapy utilisation rates were lower than optimal radiotherapy utilisation rates in patients aged 80+ years except for patients with cervical cancer. This warrants further assessment and research into reasons and solutions.

Radiotherapy utilisation rates for patients with cancer as a function of age: A systematic review.

INTRODUCTION: There is an increasing incidence of cancer in older people, but limited data on radiotherapy uptake, and in particular, radiotherapy utilisation (RTU) rates. The RTU rate for older adults with cancer may be lower than recommended due to lower tolerance for radiotherapy as well as additional comorbidities, reduced life expectancy and travel for treatment. Radiotherapy use must be aligned with best available, age-specific evidence to ensure older adults with cancer receive optimal benefit without harms. MATERIALS AND METHODS: A systematic review was conducted to synthesise the published data on the actual RTU rate for patients with cancer as a function of age. MEDLINE and EMBASE were systematically searched to identify relevant population-based and hospital-based cohort studies on radiotherapy utilisation for all age groups, published in English, from 1 January 1990 to 1 July 2020. We focused on the following common cancers in older adults for which radiotherapy is recommended: breast, prostate, lung, rectal cancer, glioblastoma multiforme (GBM), and cervical cancer. Age-specific radiotherapy utilisation data were extracted and analysed as a narrative synthesis. RESULTS: From 2606 studies screened, 75 cohort and population-based studies were identified with age-specific radiotherapy utilisation data. The total number of patients in the 75 studies was 4,792,138. The RTU rate decreased with increasing age for all tumour sites analysed, except for patients receiving curative radiotherapy as definitive treatment for prostate or cervical cancer. This reduction with increasing age was demonstrated in both palliative and curative settings. DISCUSSION: There is a global reduction in radiotherapy utilisation with increasing age for most tumour sites. The reduction in delivery of radiotherapy warrants further examination and evidence-based guidelines specific to this population.

Patterns of curative treatment for non-small cell lung cancer in New South Wales, Australia.

INTRODUCTION: There is a lack of large population-based studies examining patterns of curative treatment for non-small cell lung cancer (NSCLC) in Australia. This study aimed to evaluate the utilization of curative treatment for NCSLC at a population level and identify factors associated with its use in New South Wales (NSW), Australia. METHODS: Patients diagnosed with localized or locoregional NSCLC between 2009 and 2014 were identified from the NSW Central Cancer Registry. Curative treatment was defined as surgery or radiotherapy with a 45 Gy minimum dose. Univariate and multivariable analyses were performed to investigate factors associated with the receipt of curative treatment. A Cox proportional-hazards regression model was used to analyze the factors associated with 2-year overall survival (OS). RESULTS: Of the 5722 patients diagnosed with NSCLC in the study period, 3355 (59%) patients received curative treatment and 2367 (41%) patients did not receive curative treatment. The receipt of curative treatment was significantly associated with younger patients, female gender, localized disease, and Charlson Comorbidity Index (CCI) = 0. The use of curative treatment increased significantly over time from 2009 (55%) to 2014 (63%) and varied significantly from 24% to 70% between local health districts (LHDs) of residence. Younger age, female gender, localized disease, CCI = 0, and overseas country of birth were significantly associated with 2-year OS. The 2-year OS significantly improved from 70% in 2009 to 77% in 2014 for patients who received curative treatment. CONCLUSION: The use of curative treatment for patients with potentially curable NSCLC was low at 59%. However, the use of curative treatment and survival have increased over time. Significant variation was noted in the use of curative treatment between LHDs.

Development of an age- and comorbidity adjusted- optimal radiotherapy utilisation rate for women with breast cancer.

INTRODUCTION: Optimal radiotherapy utilisation (RTU) modelling estimates the proportion of people with cancer who would benefit from radiotherapy. Older adults with cancer may have comorbidities that can impact physiological reserve and affect radiotherapy recommendations. These have not been considered in previous models. We aimed to develop an age- and comorbidity-adjusted optimal RTU model for breast cancer. METHODS: New South Wales (NSW) Cancer Registry data (2010-2014) linked to radiotherapy data (2010-2015) and hospitalisation data (2008-2015) was used to determine the number of women diagnosed with invasive breast cancer in four pre-specified age groups. The Charlson Comorbidity Index (CCI), Cancer-Specific C3 'all sites' index and the Hospital Frailty Risk Score (HFRS) were derived for each woman from diagnostic codes in hospital records. Women were deemed unfit, and thus unsuitable candidates for radiotherapy, if the comorbidity indices were as follows: CCI ≥2; C3 score ≥ 3; and HFRS ≥5. The proportions of women suitable for radiotherapy in each age group were then incorporated into a breast cancer decision tree model. The actual RTU was also calculated using the linked datasets. RESULTS: 23,601 women were diagnosed with breast cancer in NSW from 2010 to 2014 and 2526 were aged 80+ years. The overall comorbidity adjusted- RTU for women of all ages was 85·9% (CCI), 83·7% (C3) and 81·9% (HFRS). The optimal comorbidity adjusted- RTU for women aged 80+ was 76·1% (CCI), 70·1% (C3) and 61·8% (HFRS). The actual RTU for women aged 80+ years was 24.7%. CONCLUSION: The vast majority of older Australian women with breast cancer are fit for radiotherapy. The overall optimal RTU is only slightly reduced when adjusted for age and comorbidities and was similar using each of the three indices examined. Our data suggest radiotherapy is markedly underutilised for older women with breast cancer.

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.

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.

Factors affecting radiotherapy utilisation in geriatric oncology patients in NSW, Australia.

BACKGROUND AND PURPOSE: Large non-age-specific radiotherapy utilisation rate (RTU) studies have demonstrated that actual RTU is below the optimal recommended utilisation rate for both curative and palliative intent radiotherapy indications. The optimal utilisation rate for the geriatric oncology cohort of patients has not yet been determined. The purpose of this research was to examine the actual RTU for patients treated in New South Wales (NSW), Australia as a function of increasing age, and the relationship between RTU and tumour site, travelling distance and socio-economic status. MATERIALS & METHODS: NSW Central Cancer Registry data (2009-2011) were linked to the NSW Radiotherapy Dataset (2009-2012). RTU was calculated for patients aged <80 years and ≥80 years. RTU was defined as the proportion of patients receiving at least a single course of radiotherapy within 12 months of a cancer diagnosis. RESULTS: 110,645 patients were diagnosed with cancer, of whom 27,721 received at least one course of radiotherapy. The overall RTU was 25%. RTU for patients aged <80 years was 28% compared to 14% for patients aged 80+ years (p < 0.001). On both univariate and multivariate analysis, increasing age, residential address in disadvantaged socioeconomic areas and increasing distance to the nearest radiotherapy department were associated with a reduction in RTU. CONCLUSION: Geriatric oncology patients are less likely to receive radiotherapy than their younger counterparts. Some of the reduction in RTU may be justifiable on the basis of limited life expectancy and co-morbidity. Further research is required to determine the co-morbidity adjusted optimal RTU in older patients.

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.

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.

Testing criterion-based benchmarking for the appropriate use of radiotherapy.

INTRODUCTION: Planning for radiotherapy (RT) services requires information on the proportion of patients who should be given radiotherapy. Criterion-Based Benchmark (CBB) has been proposed in Canada to estimate the proportion of cancer patients who should be treated with radiotherapy. The aim of this study was to assess CBB in a health system outside of Canada. METHODS: Radiotherapy data for all new cases of cancer in New South Wales (NSW), and the Australian Capital Territory (ACT) Australia in 2004-06 and were linked to Central Cancer Registry records. Road distances between patient residence and the nearest RT centre were calculated. Local Government Areas (LGAs) with public radiotherapy departments were selected as CBB LGAs if they met the following criteria: 1. Patients make no direct payment for radiotherapy. 2. All RT is provided by site-specialised radiation oncologists in multi-disciplinary centres. 3. Radiation oncologists receive salary for their service. 4. More than 75% of patients live within 30 km from the nearest RT, and 5. Patients' waiting times were <4 weeks. RESULTS: 25,383 (26%) out of 98,000 eligible patients in NSW and ACT received radiotherapy in the study period as part of their initial treatment. An average of 31% of patients in the CBB LGAs received radiotherapy compared to an average of 26% in all LGAs during the study period. DISCUSSION: NSW-ACT RT utilisation for selected tumour sites was 7-16% higher in the CBB LGAs than in all LGAs, but was still 30-65% below the estimated optimal radiotherapy utilisation rates and differed significantly from Canadian CBBs. CBB is based on the assumption that there is perfect service delivery in some parts of the health service that can be used to benchmark the whole service. It may be applicable in well-resourced publicly-funded services in Canada, but the CBB approach may not be reproducible in other jurisdictions.

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.

The effect of travel distance on radiotherapy utilization in NSW and ACT.

BACKGROUND: It has been estimated that half of all cancer patients should receive radiotherapy during the course of the disease. Actual Radiotherapy Utilization (RTU) rates are usually lower than the optimal rates. METHODS: Data were collected from all radiotherapy departments (RTD) in New South Wales (NSW) and the Australian Capital Territory (ACT) for the period 2004-06 and were linked to Central Cancer Registries. Geographic Information System (GIS) software was used to calculate road distance between patient residence and the closest RTD. Patients were excluded from the study if their nearest RTD was outside NSW. RESULTS: The overall RTU rate was 26%. The RTU rates decreased with increasing travel distance from patient residence to the nearest RTD (p<0.0001). Multivariate logistic regression shows that male gender, younger age and shorter travel distance were significantly associated with receiving radiotherapy. Patients were 10% less likely to receive radiotherapy for each additional 100 km distance from the nearest RTD (p<0.001). CONCLUSIONS: There was a statistically significant reduction in radiotherapy access with longer road distance between patient residence and radiotherapy department.

Patterns of care study of brachytherapy in New South Wales: malignancies of the uterine corpus.

PURPOSE: There are limited data at a population level on adjuvant brachytherapy (BT) practice for uterine corpus malignancies. The aims of the current study were to describe BT practice for this disease in New South Wales (NSW), to assess quality of BT, and to determine if a caseload effect on quality exists. MATERIAL AND METHODS: Patient, tumour, and treatment related data were collected from all nine NSW radiation oncology departments that treated patients with BT. Included patients had malignancy of the uterine corpus with treatment including BT. Brachytherapy quality was assessed using published quality benchmarks. Higher gynaecological BT caseload departments were compared with lower caseload departments. RESULTS: One hundred sixty-three NSW residents with gynaecological cancer were treated with BT. The four higher gynaecological BT caseload departments treated a median of 25.5 NSW residents (range 22-38), compared to median 10 (range 3-18) in the five lower caseload departments. Seventy-five patients underwent BT for uterine malignancies. Most patients had early stage endometrioid disease and were treated adjuvantly with intravaginal cylinders using high-dose-rate BT. Doses were in accordance with guideline recommendations in 83% of cases, and BT was appropriately indicated in 76% of cases. Higher caseload departments were more likely to treat with guideline doses (96% vs. 53%, p < 0.001) but there was no difference in compliance rate with treatment indications (p = 0.75). CONCLUSIONS: Brachytherapy patients, techniques, and numbers/unit for uterine corpus malignancies were similar in NSW compared to the USA but more dispersed than in Western Europe. Doses prescribed may not be optimal in lower gynaecological BT caseload departments - the significance of this represents an area in which more research is needed.

Prostate brachytherapy in New South Wales: patterns of care study and impact of caseload on treatment quality.

PURPOSE: We performed the first comprehensive, population-based brachytherapy (BT) Patterns of Care Study in the Australian setting. Herein we report on prostate BT and assess the technical quality of BT practice, focusing on whether a caseload effect could be identified in New South Wales (NSW). MATERIAL AND METHODS: Site visits were made to all radiation oncology departments in NSW that delivered prostate BT, collecting relevant data on NSW residents treated with prostate BT in 2003. Overall quality of NSW prostate BT treatment was assessed using benchmarks including treatment of appropriate prostate cancer disease risk category, absence of (relative) physical contraindications, optimal planned and treated dosimetry, and pre-/post-implant planning/CT. Quality was compared between higher and lower caseload departments. RESULTS: One hundred and fifty-seven (67%) patients underwent temporary BT and 79 (33%) permanent seed BT. Prostate BT was concentrated in five departments, with three of four departments with active programmes treating greater than the recommended 25 cases. Rates of concordance with quality benchmarks were high (85-99%) with no consistent caseload effect identified. CONCLUSIONS: Prostate BT in NSW in 2003 was generally of high quality and a caseload effect on quality could not be identified. This may be because the number of departments was insufficient to determine a caseload effect, or because the prostate BT was largely concentrated in a small number of high caseload departments.

Patterns of care study of brachytherapy in New South Wales: cervical cancer treatment quality depends on caseload.

PURPOSE: We previously conducted modelling and a patterns of care study (POCS) that showed gynaecological brachytherapy (BT) was underutilized in New South Wales (NSW), the USA and Western Europe. The aim of the current study was to assess the quality of cervical BT in NSW, and to determine if caseload affects quality of treatment delivery. MATERIAL AND METHODS: All nine NSW radiation oncology departments that treated patients with cervical BT in 2003 were visited. Patient, tumour and treatment related data were collected. Quality of BT was assessed using published quality benchmarks. Higher and lower caseload departments were compared. RESULTS: The four higher cervical BT caseload departments treated 11-15 NSW residents in 2003, compared to 1-8 patients for the lower caseload departments. Cervix cancer patients treated at the higher caseload departments were more likely to be treated to a point A dose ≥ 80 Gy (58% vs. 14%, p = 0.001), and to have treatment completed within 8 weeks (66% vs. 35%, p = 0.02). Despite higher point A doses, there was no significant difference in proportions achieving lower than recommended rectal or bladder doses, implying better BT insertions in higher caseload departments. CONCLUSIONS: Cervical BT in NSW was dispersed amongst a large number of departments and was frequently of sub-optimal quality. Higher quality BT was achieved in departments treating at least 10 patients per year. It is likely that improved outcomes will be achievable if at least 10 patients are treated per department per year.

Estimation of the optimal brachytherapy utilization rate in the treatment of gynecological cancers and comparison with patterns of care.

PURPOSE: We aimed to estimate the optimal proportion of all gynecological cancers that should be treated with brachytherapy (BT)-the optimal brachytherapy utilization rate (BTU)-to compare this with actual gynecological BTU and to assess the effects of nonmedical factors on access to BT. METHODS AND MATERIALS: The previously constructed inter/multinational guideline-based peer-reviewed models of optimal BTU for cancers of the uterine cervix, uterine corpus, and vagina were combined to estimate optimal BTU for all gynecological cancers. The robustness of the model was tested by univariate and multivariate sensitivity analyses. The resulting model was applied to New South Wales (NSW), the United States, and Western Europe. Actual BTU was determined for NSW by a retrospective patterns-of-care study of BT; for Western Europe from published reports; and for the United States from Surveillance, Epidemiology, and End Results data. Differences between optimal and actual BTU were assessed. The effect of nonmedical factors on access to BT in NSW were analyzed. RESULTS: Gynecological BTU was as follows: NSW 28% optimal (95% confidence interval [CI] 26%-33%) compared with 14% actual; United States 30% optimal (95% CI 26%-34%) and 10% actual; and Western Europe 27% optimal (95% CI 25%-32%) and 16% actual. On multivariate analysis, NSW patients were more likely to undergo gynecological BT if residing in Area Health Service equipped with BT (odds ratio 1.76, P=.008) and if residing in socioeconomically disadvantaged postcodes (odds ratio 1.12, P=.05), but remoteness of residence was not significant. CONCLUSIONS: Gynecological BT is underutilized in NSW, Western Europe, and the United States given evidence-based guidelines. Access to BT equipment in NSW was significantly associated with higher utilization rates. Causes of underutilization elsewhere were undetermined. Our model of optimal BTU can be used as a quality assurance tool, providing an evidence-based benchmark against which actual patterns of practice can be measured. It can also be used to assist in determining the adequacy of BT resource allocation.