Utilization of palliative radiotherapy for bone metastases near end of life in a population-based cohort

Palliative Radiotherapy Near the End of Life: An Analysis of Factors Influencing the Administration of Radiotherapy in Advanced Tumor Disease

PURPOSE

Palliative radiotherapy (PRT) toward the end of life (EOL) in advanced tumor disease is contentious. Although EOL RT can alleviate cancer-related symptoms, relief typically occurs weeks to months after treatment, potentially compromising the quality of life of patients during the final stages. This study aims to assess factors influencing the decision-making process regarding EOL RT.

MATERIALS AND METHODS

This retrospective study of a real-world cohort included 684 consecutive patients with a diagnosis of a solid tumor who died between 2017 and 2021. In these patients, factors potentially influencing the administration of EOL RT were analyzed.

RESULTS

Of the 684 patients, 164 received PRT, with 60 (36.6%) receiving EOL RT within the last 30 days of life. The median time from the last RT session to death was 55 days. Significant factors influencing EOL RT administration were age ≤65 years (odds ratio [OR], 1.75 [95% CI, 1.02 to 3.01]), Union for International Cancer Control stage IV (OR, 2.77 [95% CI, 1.41 to 5.46]), lung cancer (OR, 2.16 [95% CI, 1.00 to 4.68]), palliative care referral (OR, 1.80 [95% CI, 0.98 to 3.30]), systemic anticancer treatment ≤30 days before death (OR, 1.87 [95% CI, 1.05 to 3.33]), and Eastern Cooperative Oncology Group performance status ≥2 (OR, 3.73 [95% CI, 1.88 to 7.40]). Furthermore, RT near the EOL was more likely administered at multiple sites (OR, 2.08 [95% CI, 1.00 to 4.29]) and with ≤5 fractions (OR, 2.37 [95% CI, 1.23 to 4.57]), while being associated with lower response rates (OR, 0.43 [95% CI, 0.21 to 0.86]) and increased therapy discontinuation (OR, 4.40 [95% CI, 1.45 to 13.37]).

CONCLUSION

These findings highlight varying RT patterns influenced by specific factors, demonstrating the complexity of EOL treatment decisions in advanced cancer care. Identifying key factors for personalized, patient-centered EOL RT decisions warrants further investigation.

A taxonomy of the factors contributing to the overtreatment of cancer patients at the end of life. What is the problem? Why does it happen? How can it be addressed?

Many patients with cancer approaching the end of life (EOL) continue to receive treatments that are unlikely to provide meaningful clinical benefit, potentially causing more harm than good. This is called overtreatment at the EOL. Overtreatment harms patients by causing side-effects, increasing health care costs, delaying important discussions about and preparation for EOL care, and occasionally accelerating death. Overtreatment can also strain health care resources, reducing those available for palliative care services, and cause moral distress for clinicians and treatment teams. This article reviews the factors contributing to the overtreatment of patients with cancer at the EOL. It addresses the complex range of social, psychological, and cognitive factors affecting oncologists, patients, and patients' family members that contribute to this phenomenon. This intricate and complex dynamic complicates the task of reducing overtreatment. Addressing these driving factors requires a cooperative approach involving oncologists, oncology nurses, professional societies, public policy, and public education. We therefore discuss approaches and strategies to mitigate cultural and professional influences driving overtreatment, reduce the seduction of new technologies, improve clinician-patient communication regarding therapeutic options for patients approaching the EOL, and address cognitive biases that can contribute to overtreatment at the EOL.

Outcomes of patients receiving urgent palliative radiotherapy for advanced lung cancer: an observational study

BACKGROUND

There is considerable variability in the management of patients with advanced lung cancer referred for palliative radiotherapy owing to uncertainties in prognosis and the benefit of treatment. This study presents the outcomes of patients seen in the Fast Track Lung Clinic, an urgent access palliative radiotherapy clinic, and aims to identify factors associated with treatment response and survival.

METHODS

Consecutive patients with advanced lung cancer seen in the Fast Track Lung Clinic between January 2014 and July 2020 were included. Patients who underwent radiotherapy were contacted beginning 30 days after radiotherapy to evaluate treatment response. Cluster bootstraps were used to compute confidence intervals for treatment response rate. Prognostic factors for treatment response and overall survival were identified using multivariable generalized estimating equations and Cox regression models, respectively.

RESULTS

A total of 558 patients were included, of whom 459 (82.3%) consented to palliative radiotherapy for 1053 indications. The overall treatment response rate was 70.0% (95% CI, 65.8-74.2) for indications with follow-up (70.8%). Higher response rates were observed in patients with better ECOG performance status (OR per point, 0.71; 95% CI, 0.55-0.93; P = 0.01 ) and EGFR-mutant non-small cell lung cancer (OR vs wild-type, 2.46; 95% CI, 1.35-4.51; P = 0.003 ), whereas patients treated for neurological symptoms had lower response rates (OR, 0.27; 95% CI, 0.16-0.45; P < 0.001 ). There was no difference in response rate between patients who died within 30 days of starting radiotherapy and those who survived longer (OR, 0.83; 95% CI, 0.42-1.67; P = 0.61 ). Age; ECOG performance status; smoking history; pathology; EGFR or ALK mutation status; and the presence of liver, adrenal, or brain metastases were associated with overall survival.

CONCLUSIONS

Palliative radiotherapy was effective for patients with advanced lung cancer, although response rates varied by patient characteristics and treatment indication. This study identified prognostic factors for radiotherapy response and overall survival that can inform treatment decisions in this population.

Treatment Terminations During Radiation Therapy: A 10-Year Experience

PURPOSE

Patients undergoing radiation therapy may terminate treatment for any number of reasons. The incidence of treatment termination (TT) during radiation therapy has not been studied. Herein, we present a cohort of TT at a large multicenter radiation oncology department over 10 years.

METHODS AND MATERIALS

TTs between January 2013 and January 2023 were prospectively analyzed as part of an ongoing departmental quality and safety program. TT was defined as any premature discontinuation of therapy after initiating radiation planning. The rate of TT was calculated as a percentage of all patients starting radiation planning. All cases were presented at monthly morbidity and mortality conferences with a root cause reviewed.

RESULTS

A total of 1448 TTs were identified out of 31,199 planned courses of care (4.6%). Six hundred eighty-six (47.4%) involved patients treated with curative intent, whereas 753 (52.0%) were treated with palliative intent, and 9 (0.6%) were treated for benign disease. The rate of TT decreased from 8.49% in 2013 to 3.02% in 2022, with rates decreasing yearly. The most common disease sites for TT were central nervous system (21.7%), head and neck (19.3%), thorax (17.5%), and bone (14.2%). The most common causes of TT were hospice and/or patient expiration (35.9%), patient choice unrelated to toxicity (35.2%), and clinician choice unrelated to toxicity (11.5%).

CONCLUSIONS

This 10-year prospective review of TTs identified a year-over-year decrease in TTs as a percentage of planned patients. This decrease may be associated with the addition of root cause reviews for TTs and discussions monthly at morbidity and mortality rounds, coupled with departmental upstream quality initiatives implemented over time. Understanding the reasons behind TTs may help decrease preventable TTs. Although some TTs may be unavoidable, open discourse and quality improvement changes effectively reduce TT incidents over time.

Palliative Radiotherapy in Non-small Cell Lung Cancer: Patterns of Use and Predictors of 30-Day Mortality in End-of-Life Care

Introduction Lung cancer is the leading cause of cancer-related deaths worldwide, with non-small cell lung cancer (NSCLC) being the most common type. More than half of patients require radiotherapy throughout their treatment. Palliative radiotherapy (PRT) is an important tool for symptom control and quality of life improvement in advanced NSCLC patients. However, the benefits of PRT must be balanced against possible disadvantages, especially in end-of-life (EOL) care. This study aims to describe the profile of PRT-treated deceased NSCLC patients, quantify the proportion of PRT recipients in the last 30 days of life and identify short-term survival prognostic factors in this group. Materials and methods This retrospective analysis was performed at two radiotherapy facilities within the Kent Oncology Centre, UK, for two years, running from January 1, 2022, to January 1, 2024. Data were collected from 857 deceased NSCLC patients who received PRT. Demographics, cancer diagnosis, histology, tumour, node, metastasis (TNM) staging, radiotherapy details, recent treatments, performance status (PS) and comorbidities were analysed. Patients have been stratified as long-term survivors (more than 30 days after PRT initiation, LTS group) along with short-term survivors (STS) (died within 30 days, STS group). Descriptive statistics, chi-squared tests, t-tests and multivariable logistic regression have been used in the data analysis. Results Out of 857 patients, 148 (17.3%) died within 30 days of PRT initiation. PS was considerably worse (p = 0.027), Adult Comorbidity Evaluation 27 (ACE-27) scores were higher (p = 0.018), and metastatic disease was more prevalent (60.1% vs. 47.5%, p = 0.02) in STS group patients. Fewer patients in the STS group completed their treatment compared to the LTS group (63.5% vs. 82.8%, p < 0.001). The STS group also received lower mean radiation dose (17.7 Gy vs. 19.6 Gy, p = 0.022) and fewer fractions (4.4 vs. 5.2, p = 0.019). The most common RT regimen in both cohorts was 20 Gy in five fractions, used in 55.4% of STS and 49.8% of LTS patients, with no significant difference in single fraction RT use between groups (33.1% in STS vs. 36.8% in LTS, p = 0.401). Multivariate logistic regression identified significant predictors of 30-day mortality: poorer PS (adjusted OR: 1.981, 95% CI: 1.33-3.12, p = 0.001), metastatic disease (adjusted OR: 2.02, 95% CI: 1.246-3.571, p = 0.002), incomplete PRT (adjusted OR: 0.337, 95% CI: 0.21-0.514, p < 0.001) and no recent chemotherapy (adjusted OR: 0.542, 95% CI: 0.342-0.941, p = 0.044). Conclusion This study demonstrated that compared with previous reports, a higher proportion of NSCLC patients who received PRT died within 30 days of treatment initiation, and low treatment adherence rates highlight challenges in EOL settings. Identification of poor PS and metastatic disease as predictors of short-term mortality would help inform PRT decision-making. The underutilisation of single-fraction radiotherapy and the link between recent chemotherapy and lower 30-day mortality warrant further study. These results highlight the need for better prognostic tools and more selective use of PRT, including increased consideration of single-fraction radiotherapy, in NSCLC patients approaching end of life and emphasise the importance of balancing benefit against treatment burden in this vulnerable population.

Robust optimization of a radiotherapy pretreatment preparation workflow

Objective. Increasing cancer incidence, staff shortage and high burnout rate among radiation oncologists, medical physicists and radiation technicians are putting many departments under strain. Operations research (OR) tools could optimize radiotherapy processes, however, clinical implementation of OR-tools in radiotherapy is scarce since most investigated optimization methods lack robustness against patient-to-patient variation in duration of tasks. By combining OR-tools, a method was developed that optimized deployment of radiotherapy resources by generating robust pretreatment preparation schedules that balance the expected average patient preparation time (Fmean) with the risk of working overtime (RoO). The method was evaluated for various settings of an one-stop shop (OSS) outpatient clinic for palliative radiotherapy.Approach. The OSS at our institute sees, scans and treats 3-5 patients within one day. The OSS pretreatment preparation workflow consists of a fixed sequence of tasks, which was manually optimized for radiation oncologist and CT availability. To find more optimal sequences, with shorterFmeanand lowerRoO, a genetic algorithm was developed which regards these sequences as DNA-strands. The genetic algorithm applied natural selection principles to produce new sequences. A decoder translated sequences to schedules to find the conflicting fitness parametersFmeanandRoO. For every generation, fitness of sequences was determined by the distance to the estimated Pareto front ofFmeanandRoO. Experiments were run in various OSS-settings.Main results. According to our approach, the expectedFmeanof the current clinical schedule could be reduced with 37%, without increasingRoO. Additional experiments provided insights in trade-offs betweenFmean,RoO, working shift length, number of patients treated on a single day and staff composition.Significance. Our approach demonstrated that OR-tools could optimize radiotherapy resources by robust pretreatment workflow scheduling. The results strongly support further exploration of scheduling optimization for treatment preparation also outside a one-stop shop or radiotherapy setting.

Radiation Therapy in the Last Month of Life: Association With Aggressive Care at the End of Life

CONTEXT

Half of the patients with cancer who undergo radiation therapy do so with palliative intent.

OBJECTIVES

To determine the proportion of undergoing radiation in the last month of life, patient characteristics, cancer course, the type and duration of radiation, whether palliative care was involved, and the of radiation with aggressive cancer care metrics.

METHODS

One thousand seven hundred twenty-seven patients who died of cancer between January 1, 2018, and December 31, 2019, were included. Demographics, cancer stage, palliative care referral, advance directives, use of home health care, radiation timing, and survival were collected. Type of radiation, course, and intent were reviewed. Chi-square analysis was utilized for categorical variables, and Kruskal-Wallis tests for continuous variables. A stepwise selection was used to build a Cox proportional hazard model.

RESULTS

Two hundred thirty-three patients underwent radiation in the last month of life. Younger patients underwent radiation 67.3 years (SD 11.52) versus 69.2 years (SD 11.96). 42.6% had radiation within two weeks of death. The average fraction number was 5.5. Individuals undergoing radiation were more likely to start chemotherapy within the last 30 days of life, continue chemotherapy within two weeks of death, be admitted to the ICU, and have two or more hospitalizations or emergency room visits. Survival measured from the date of diagnosis was shorter for those undergoing radiation, 122 days (IQR 58-462) versus 474 days (IQR 225-1150). Palliative care consultations occurred later in those undergoing radiation therapy.

CONCLUSION

Radiation therapy in the last month of life occurs in younger patients with rapidly progressive cancer, who are subject to more aggressive cancer care, and have late palliative care consults.

The Effect of Breast Cancer Subtype on Symptom Improvement Following Palliative Radiotherapy for Bone Metastases

AIM

To assess the relationship between breast cancer subtypes and patient-reported outcomes (PRO) following palliative radiotherapy for bone metastases.

MATERIALS AND METHODS

Prospectively collected PRO for all breast cancer patients treated with palliative, bone metastasis-directed radiotherapy from 2013 to 2016 in the province of British Columbia were analysed. The PRO questionnaire scored pain severity, level of function and symptom frustration at baseline and at 3-4 weeks following palliative radiotherapy using a 12-point scale. The primary outcome was the rate of overall response (any improvement in score); the secondary outcome was the rate of complete improvement in PRO (final PRO score of 0). Multivariate logistic analysis was used to compare response rates between molecular subgroup approximations of luminal A (LumA), luminal B (LumB), HER2-enriched (HER2) and triple negative (TN), as defined by grade and immunohistochemical staining.

RESULTS

There were 376 patients who underwent 464 courses of palliative radiation for bone metastases. Subtypes included: 243 LumA, 146 LumB, 46 HER2 and 29 TN. There were 216 multifraction radiotherapy courses (median dose 20 Gy) and 248 single-fraction radiotherapy courses (median dose 8 Gy). The overall response rate was 85% and the complete response rate was 25%. In comparison with LumA breast cancers, TN breast cancers were associated with a lower rate of overall response (69% versus 86%, P = 0.021) and a lower rate of complete response (10% versus 28.8%, P = 0.045) on multivariate analyses.

CONCLUSION

Patients with TN breast cancer have lower rates of pain, function and symptom frustration improvement following palliative radiation for bone metastases.

Patterns of Palliative Radiotherapy Utilization for Patients With Metastatic Breast Cancer in Harare, Zimbabwe

PURPOSE

In sub-Saharan Africa, radiotherapy (RT) utilization and delivery patterns have not been extensively studied in patients with metastatic breast cancer.

METHODS

A retrospective cohort study of female patients with metastatic breast cancer seen at Parirenyatwa Radiotherapy Centre in Zimbabwe from 2014 to 2018 was conducted. Demographics, pathology, staging, and treatment data were abstracted through chart review. Fisher's exact test and chi-squared test of independence were used to compare proportions, and independent two-sample t-tests were used to compare means.

RESULTS

Of 351 patients with breast cancer, 152 (43%) had metastatic disease, median age 51 years (interquartile range: 43-61 years). Of those with metastatic disease, 30 patients (20%) received radiation to various metastatic sites: 16 spine; three nonspine bone metastases; six whole brain; and five chest wall or supraclavicular. Patients who received radiation were younger (46 v 52 years; P = .019), but did not differ significantly by performance status than those who did not. The most common dose prescription was 30 Gy in 10 fractions (33%). Five (17%) patients had treatment interruption and two (7%) had treatment noncompletion. Province of origin and clinical tumor stage were significant predictors of RT receipt (P = .002; and P = .018, respectively).

CONCLUSION

A minority of patients with metastatic breast cancer received RT (20%), and these were likely to be younger, with advanced tumor stage, and resided in provinces where RT is available. Conventional courses were generally prescribed. There is a need to strongly consider palliative RT as an option for patients with metastatic breast cancer and use of hypofractionated courses (e.g. 8 Gy in one fraction) may support this goal.

Prognostic tools for survival prediction in advanced cancer patients: A systematic review

Survival prediction for palliative cancer patients by physicians is often optimistic. Patients with a very short life expectancy (<4 weeks) may not benefit from radiation therapy (RT), as the time to maximal symptom relief after treatment can take 4-6 weeks. We aimed to identify a prognostic tool (or tools) to predict survival of less than 4 weeks and less than 3 months in patients with advanced cancer to guide the choice of radiation dose and fractionation. We searched Embase, Medline (EBSCOhost) and CINAHL (EBSCOhost) clinical databases for literature published between January 2008 and June 2018. Seventeen studies met the inclusion criteria and were included in the review. Prediction accuracy at less than 4 weeks and less than 3 months were compared across the prognostic tools. Reporting of prediction accuracy among the different studies was not consistent: the Palliative Prognostic Score (PaP), Palliative Prognostic Index (PPI) and Number of Risk Factors (NRF) best-predicted survival duration of less than 4 weeks. The PPI, performance status with Palliative Prognostic Index (PS-PPI), NRF and Survival Prediction Score (SPS) may predict 3-month survival. We recommend PPI and PaP tools to assess the likelihood of a patient surviving less than 4 weeks. If predicted to survive longer and RT is justified, the NRF tool could be used to determine survival probability less than 3 months which can then help clinicians select dose and fractionation. Future research is needed to verify the reliability of survival prediction using these prognostic tools in a radiation oncology setting.

30-Day Mortality Following Palliative Radiotherapy

Purpose

30-day mortality (30-DM) is a parameter with widespread use as an indicator of avoidance of harm used in medicine. Our objective is to determine the 30-DM followed by palliative radiation therapy (RT) in our department and to identify potential prognosis factors.

Material/Methods

We conducted a retrospective cohort study including patients treated with palliative RT in our center during 2018 and 2019. Data related to clinical and treatment characteristics were collected.

Results

We treated 708 patients to whom 992 palliative irradiations were delivered. The most frequent primary tumor sites were lung (31%), breast (14.8%), and gastrointestinal (14.8%). Bone was the predominant location of the treatment (56%), and the use of single doses was the preferred treatment schedule (34.4%). The 30-DM was 17.5%. For those who died in the first month the median survival was 17 days. Factors with a significant impact on 30-DM were: male gender (p < 0.0001); Eastern Cooperative Oncology Group (ECOG) Performance Status (PS) of 2–3 (p = 0.0001); visceral metastases (p = 0.0353); lung, gastrointestinal or urinary tract primary tumors (p = 0.016); and single dose RT (p = <0.0001). In the multivariate analysis, male gender, ECOG PS 2–3, gastrointestinal and lung cancer were found to be independent factors related to 30-DM.

Conclusion

Our 30-DM is similar to previous studies. We have found four clinical factors related to 30-DM of which ECOG was the most strongly associated. This data may help to identify terminally ill patients with poor prognosis in order to avoid unnecessary treatments.

A Review of Chemotherapy and Radiotherapy Near the End of Life in Individuals with Metastatic Non-small Cell Lung Cancer

Objectives

Appropriate chemotherapy and radiation near end of life is a moving target; challenged by increasing costs, evolving therapies, new reimbursement models and quality metrics. We review treatment trends and variables impacting the initiation of chemotherapy (CHT) and radiotherapy (XRT) in the final 60, 30 and 14 days of life in metastatic non-small cell lung cancer (NSCLC).

Methods

The Florida Cancer Data System was studied to complete a retrospective cohort analysis of 48,858 individuals with Stage IV (M1) NSCLC from 1995–2010. We evaluated the initiation of CHT and XRT after diagnosis and associations with patient demographics, insurance and socioeconomic status (SES).

Results

The use of CHT increased from 35% to 49%, while XRT decreased from 52% to 37% between 1995 and 2010. Initial courses of CHT occurred 8.1%, 5.0%, and 3.6% in the final 60, 30, and 14 days of life, and XRT 13.8%, 7.7%, and 5.2% of the time, respectively. Younger, married, and male patients were more likely to receive treatment. Low SES (OR 0.685, 95% CI 0.633–0.741) and uninsured individuals (OR 0.678, 95% CI 0.572–0.804) were less likely to receive CHT. SES and insurance did not impact XRT.

Conclusions

The initiation of late CHT and XRT treatments decreased from 1995–2010. It persisted above 3% in the last 14 days of life. Clinicians may struggle to taper treatment before death, especially in patients with limited survival. It is important to recognize the complexities of death and dying and the potential influences of palliative care in affecting treatment decisions.

Palliative radiotherapy near the end of life

Background

A significant proportion of patients with advanced cancer undergo palliative radiotherapy (RT) within their last 30 days of life. This study characterizes palliative RT at our institution and aims to identify patients who may experience limited benefit from RT due to imminent mortality.

Methods

Five hundred and-eighteen patients treated with external beam RT to a site of metastatic disease between 2012 and 2016 were included. Mann-Whitney U and chi-squared tests were used to identify factors associated with RT within 30 days of death (D₃₀RT).

Results

Median age at RT was 63 years (IQR 54–71). Median time from RT to death was 74 days (IQR 33–174). One hundred and twenty-five patients (24%) died within 30 days of RT. D₃₀RT was associated with older age at RT (64 vs. 62 years, p = 0.04), shorter interval since diagnosis (14 vs. 31 months, p <  0.001), liver metastasis (p = 0.02), lower KPS (50 vs. 70, p <  0.001), lower BMI (22 vs. 24, p = 0.001), and inpatient status at consult (56% vs. 26%, p < 0.001). Patients who died within 30 days of RT were less likely to have hospice involved in their care (44% vs. 71%, p = 0.001). D₃₀RT was associated with higher Chow and TEACHH scores at consult (p < 0.001 for both).

Conclusions

Twenty-four percent of patients received palliative RT within 30 days of death. Additional tools are necessary to help physicians identify patients who would benefit from short treatment courses or alternative interventions to maximize quality at the end of life.

Use of Radiation Therapy Within the Last Year of Life Among Cancer Patients

PURPOSE

We examined radiation therapy (RT) use within the last year of life (LYOL). As palliative RT (PRT) has been well studied in patients with ≥6-week life expectancies, we hypothesized that PRT use would be constant over the LYOL, except for the last 30 days, when use would decline given lack of prospective data supporting it.

MATERIALS AND METHODS

At a single institution, 870 cancer patients died between October 2, 2014, and September 30, 2015, and had ≥3 evaluation and management visits within the LYOL. Claims and RT data were extracted and linked. Over the LYOL, we evaluated RT use by intent (curative vs palliative) and indications.

RESULTS

Within the LYOL, one-third of patients underwent RT in the last 365 days of life to 444 sites, which decreased to 24.3% and 8.5% in the last 180 and 30 days of life, respectively. Patients who received any RT in the last 365 days of life were younger at death and had a higher proportion of lung, sarcoma, and transplant disease groups. One-quarter of sites were irradiated with curative intent, which remained constant over the LYOL. In contrast, PRT was used at a supralinear rate, in which treatment of bone metastases and use of single-fraction PRT increased closer to death.

CONCLUSIONS

PRT appears to be disproportionately used closer to death, with an increasing proportion of irradiated sites being bone metastases. This may be secondary to increased symptoms from advanced cancer toward the end of life. As patients with very poor prognoses (eg, within 30 days of death) are generally not included in RT clinical trials, further studies are warranted to assess whether PRT for bone metastases at the end of life is efficacious.

Preventing Discontinuation of Radiation Therapy: Predictive Factors to Improve Patient Selection for Palliative Treatment

PURPOSE

Approximately one third of patients with cancer require palliative radiation therapy (PRT), yet no guidelines exist for optimal patient selection. We have observed that many patients who begin PRT do not complete their prescribed treatment. Our study sought to identify factors associated with discontinuation of PRT, assess for a relationship with survival, and inform patient selection.

METHODS

We performed an institutional review board-approved retrospective analysis of patients with cancer treated in a multicenter radiation oncology department in 2014. Of 297 patients who began PRT, 60 discontinued and 237 completed treatment. Primary end points included discontinuation and overall survival.

RESULTS

Patient factors were analyzed for association with discontinuation of PRT and overall survival, respectively, using logistic regression and Cox proportional regression models. Factors associated with discontinuation were low Karnofsky performance status (KPS) score, high number of fractions prescribed, and treatment site other than bone metastasis. The odds of discontinuing PRT decreased by approximately 52% for every 10-point increase in KPS score (odds ratio, 0.48; 95% CI, 0.36 to 0.63; P < .001). Factors associated with shorter survival included discontinuation of PRT, low KPS score, community practice location, multiple comorbidities, and treatment of brain metastases. Patients who discontinued treatment were more likely to die than patients who completed treatment, independent of other factors (hazard ratio, 3.67; 95% CI, 2.41 to 5.61; P < .001).

CONCLUSION

Patients with low KPS scores, long treatment courses, and those treated to sites other than bone metastasis were significantly more likely to discontinue treatment. Discontinuation was predictive for poor survival. Pretreatment evaluation of KPS, comorbidities, and brain metastases can help guide appropriate patient selection for PRT.

A review of patterns of practice and clinical guidelines in the palliative radiation treatment of uncomplicated bone metastases

BACKGROUND AND PURPOSE

Single fraction radiation treatment (SFRT) is recommended for its equivalence to multiple-fraction (MF) RT in the palliation of uncomplicated bone metastases (BM). However, adoption of SFRT has been slow.

MATERIALS AND METHODS

Literature searches for studies published following 2014 were conducted using online repositories of gray literature, Ovid MEDLINE, Embase and Embase Classic, and the Cochrane Central Register of Controlled Trials databases.

RESULTS

A total of 32 articles detailing patterns of practice and clinical practice guidelines were included for final synthesis. The majority of organizations have released high level recommendations for SFRT use in treatment of uncomplicated BM, based on evidence of non-inferiority to MFRT. There are key differences between guidelines, such as varying strengths of recommendation for SFRT use over MFRT; contraindication in vertebral sites for SFRT; and risk estimation of pathologic fractures after SFRT. Differences in guidelines may be influenced by committee composition and organization mandate. Differences in patterns of practice may be influenced by individual center policies, payment modalities and consideration of patient factors such as age, prognosis, and performance status.

CONCLUSION

Although there is some variation between groups, the majority of guidelines recommend use of SFRT and others consider it to be a reasonable alternative to MFRT.

Fully automated treatment planning of spinal metastases - A comparison to manual planning of Volumetric Modulated Arc Therapy for conventionally fractionated irradiation

Background

Planning for Volumetric Modulated Arc Therapy (VMAT) may be time consuming and its use is limited by available staff resources. Automated multicriterial treatment planning can eliminate this bottleneck. We compared automatically created (auto) VMAT plans generated by Erasmus-iCycle to manually created VMAT plans for treatment of spinal metastases.

Methods

Forty-two targets in 32 patients were analyzed. Lungs and kidneys were defined as organs at risk (OARs). Twenty-two patients received radiotherapy on kidney levels, 17 on lung levels, and 3 on both levels.

Results

All Erasmus-iCycle plans were clinically acceptable. When compared to manual plans, planning target volume (PTV) coverage of auto plans was significantly better. The Homogeneity Index did not differ significantly between the groups. Mean dose to OARs was lower in auto plans concerning both kidneys and the left lung. One hotspot (>110% of D_50%) occurred in the spinal cord of one auto plan (33.2 Gy, D_50%: 30 Gy). Treatment time was 7% longer in auto plans.

Conclusions

Erasmus-iCycle plans showed better target coverage and sparing of OARs at the expense of minimally longer treatment times (for which no constraint was set).

Electronic supplementary material

The online version of this article (doi:10.1186/s13014-017-0767-2) contains supplementary material, which is available to authorized users.