Patient-reported quality of life during definitive and postprostatectomy image-guided radiation therapy for prostate cancer

Functional Outcomes and Quality of Life in High-risk Prostate Cancer Patients Treated by Robot-assisted Radical Prostatectomy with or Without Adjuvant Treatments

BACKGROUND

Robot-assisted laparoscopic prostatectomy (RALP) is used frequently to treat prostate cancer; yet, prospective data on the quality of life and functional outcomes are lacking.

OBJECTIVE

To assess the quality of life and functional outcomes after radical prostatectomy in different risk groups with or without adjuvant treatments.

DESIGN, SETTING, AND PARTICIPANTS

The Be-RALP database is a prospective multicentre database that covers 9235 RALP cases from 2009 until 2016. Of these 9235 patients, 2336 high-risk prostate cancer patients were matched with low/intermediate-risk prostate cancer patients.

INTERVENTION

Patients were treated with RALP only or followed by radiotherapy and/or hormone treatment.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

We used a mixed-model analysis to longitudinally analyse quality of life, urinary function, and erectile function between risk groups with or without additional treatments.

RESULTS AND LIMITATIONS

Risk group was not significant in predicting quality of life, erectile function, or urinary function after RALP. Postoperative treatment (hormone and/or radiotherapy treatment) was significant in predicting International Index of Erectile Function (IIEF-5), sexual activity, and sexual functioning.

CONCLUSIONS

Risk group was not linked with clinically relevant declines in functional outcomes after RALP. The observed functional outcomes and quality of life are in favour of considering RALP for high-risk prostate cancer. Postoperative treatment resulted in lower erectile function measures without clinically relevant changes in quality of life and urinary functions. Hormone therapy seems to have the most prominent negative effects on these outcomes.

PATIENT SUMMARY

This study investigated the quality of life, and urinary and erectile function in patients with aggressive and less aggressive prostate cancer after surgery only or in combination with hormones or radiation. We found that quality of life recovers completely, while erectile and urinary function recovers only partially after surgery. Aggressiveness of the disease had a minimal effect on the outcomes; yet, postoperative treatments lowered erectile function further.

Implementation of patient-reported outcome measures into health care for men with localized prostate cancer

Measuring treatment-related quality of life (QOL) has become an increasingly requisite component of delivering high-quality care for patients with prostate cancer. Patient-reported outcome measures (PROMs) have, therefore, become an important tool for understanding the adverse effects of radical prostate cancer treatment and have been widely integrated into clinical practice. By providing real-time symptom monitoring and improved clinical feedback to patients and providers, PRO assessment has led to meaningful gains in prostate cancer care delivery and quality improvement worldwide. By providing an avenue for benchmarking, collaboration and population health monitoring, PROMs have delivered substantial improvements beyond providing individual symptom feedback. However, multilevel barriers exist that need to be addressed before the routine implementation of PROMs is achieved. Improvements in collection, interpretation, standardization and reporting will be crucial for the continued implementation of PROM instruments in prostate cancer pathways.

Underascertainment of Clinically Meaningful Symptoms During Prostate Cancer Radiation Therapy-Does This Vary by Patient Characteristics?

PURPOSE

It is well known that physicians underascertain chemotherapy-related toxicity compared with patient self-report. However, symptom underascertainment in radiation therapy and characterization of patient groups at increased risk for underascertainment have not been examined.

METHODS AND MATERIALS

As part of routine clinical care, 7 urinary and gastrointestinal symptoms were prospectively collected with both patient-report outcomes (PROs) using the validated Prostate Cancer Symptom Indices and physician-graded symptoms using Common Terminology Criteria for Adverse Events (CTCAE) for 544 consecutive patients from 2010 to 2018 who received intensity modulated radiation therapy to the prostate or prostate bed. Data from weekly treatment visits and the first posttreatment follow-up were analyzed. Underascertainment was defined as an occurrence when a clinically meaningful symptom was indicated on PROs but not physician CTCAE assessment. Univariate and multivariable logistic regression examined characteristics associated with underascertainment.

RESULTS

Overall, 85.3% of patients had underascertainment of at least 1 symptom. Per PRO, 16.9% of assessments reported clinically meaningful symptoms, in contrast to only 3.4% per CTCAE, representing an approximate 5-fold difference. Multivariable analysis showed underascertainment was more common in patients who were unmarried (odds ratio [OR] 1.28; 95% confidence interval [CI], 1.18-1.38), lived in rural regions (OR 1.10; 95% CI, 1.01-1.21), incarcerated (OR 1.58; 95% CI, 1.36-1.84), retired/unemployed (OR 1.29; 95% CI, 1.18-1.40), received prostate gland (vs prostate bed) treatment (OR 1.43; 95% CI, 1.31-1.58), and received concurrent hormone therapy (OR 1.16; 95% CI, 1.04-1.29). Patients age >70 years were less likely to have underascertainment compared with those age <60 years (OR 0.82; 95% CI, 0.73-0.92).

CONCLUSIONS

This is the first study to show underascertainment of clinically meaningful symptoms in radiation therapy patients in routine clinical care and further to demonstrate that certain patient groups are especially vulnerable to underascertainment. These results highlight the importance of incorporating PROs in the clinical care of radiation therapy patients. If PROs are not routinely used, vulnerable patient groups may need additional attention during cancer treatment to ensure accurate toxicity assessment and management.

Machine learning and statistical prediction of patient quality-of-life after prostate radiation therapy

Thanks to advancements in diagnosis and treatment, prostate cancer patients have high long-term survival rates. Currently, an important goal is to preserve quality of life during and after treatment. The relationship between the radiation a patient receives and the subsequent side effects he experiences is complex and difficult to model or predict. Here, we use machine learning algorithms and statistical models to explore the connection between radiation treatment and post-treatment gastro-urinary function. Since only a limited number of patient datasets are currently available, we used image flipping and curvature-based interpolation methods to generate more data to leverage transfer learning. Using interpolated and augmented data, we trained a convolutional autoencoder network to obtain near-optimal starting points for the weights. A convolutional neural network then analyzed the relationship between patient-reported quality-of-life and radiation doses to the bladder and rectum. We also used analysis of variance and logistic regression to explore organ sensitivity to radiation and to develop dosage thresholds for each organ region. Our findings show no statistically significant association between the bladder and quality-of-life scores. However, we found a statistically significant association between the radiation applied to posterior and anterior rectal regions and changes in quality of life. Finally, we estimated radiation therapy dose thresholds for each organ. Our analysis connects machine learning methods with organ sensitivity, thus providing a framework for informing cancer patient care using patient reported quality-of-life metrics.

Utilization of Patient-Reported Outcomes to Guide Symptom Management during Stereotactic Body Radiation Therapy for Clinically Localized Prostate Cancer

Introduction

Utilization of patient-reported outcomes (PROs) to guide symptom management during radiation therapy is increasing. This study focuses on the use of the Expanded Prostate Cancer Index Composite for Clinical Practice (EPIC-CP) as a tool to assess urinary and bowel bother during stereotactic body radiation therapy (SBRT) and its utility in guiding medical management.

Methods

Between September 2015 and January 2017, 107 patients with clinically localized prostate cancer were treated with 35–36.25 Gy via SBRT in five fractions. PROs were assessed using EPIC-CP 1 h prior to the first fraction and after each subsequent fraction. Symptom management medications were prescribed based on the physician clinical judgment or if patients reported a moderate to big problem. Clinical significance was assessed using a minimally important difference of 1/2 SD from baseline score.

Results

A median baseline EPIC-CP urinary symptom score of 1.5 significantly increased to 3.7 on the day of the final treatment (p < 0.0001). Prior to treatment, 9.3% of men felt that their overall urinary function was a moderate to big problem that increased to 28% by the end of the fifth treatment. A median baseline EPIC-CP bowel symptom score of 0.3 significantly increased to 1.4 on the day of the final treatment (p < 0.0001). Prior to treatment, 1.9% of men felt that their overall bowel function was a moderate to big problem that increased to 3.7% by the end of the fifth treatment. The percentage of patients requiring an increased dose of alpha-antagonist increased to 47% by the end of treatment, and an additional 28% of patients required a short steroid taper to manage moderate to big urinary problems. Similarly, the percentage of patients requiring antidiarrheals reached 12% by the fifth treatment.

Conclusion

During the course of SBRT, an increasing percentage of patients experienced clinically significant symptoms many of which required medical management. Monitoring patient symptoms during treatment allowed for prompt detection and management of acute urinary and bowel symptoms. The usage of symptom management medications was high in this study compared to historical controls and may be due to increased physician awareness of moderate to big patient problems.

Symptoms predicting health-related quality of life in prostate cancer patients treated with localized radiation therapy

Objective

Patient-reported health-related quality-of-life (HRQOL) measures can provide guidance for treatment decision making, symptom management, and discharge planning. HRQOL is often influenced by the distress experienced by patients from disease or treatment-related symptoms. This study aimed to identify symptoms that can predict changes in HRQOL in men undergoing external beam radiation therapy (EBRT) for nonmetastatic prostate cancer (NMPC).

Methods

Fifty-one men with NMPC scheduled for EBRT were assessed at the baseline, at the midpoint of EBRT, and at the end of EBRT. All participants received 38–42 daily doses of EBRT (five times a week), depending on the stage of their disease. Validated questionnaires were administered to evaluate depressive symptoms, urinary and sexual functions, bowel issues, symptom-related distress, fatigue, and HRQOL. Pearson correlations, repeated-measures ANOVA, and multiple regressions examined the relationships among variables.

Results

Intensification of symptoms and increased symptom-related distress, with a corresponding decline in HRQOL, were observed during EBRT in men with NMPC. Changes in symptoms and symptom distress were associated with changes in HRQOL at the midpoint of EBRT (r=−0.37 to −0.6, P=0.05) and at the end of EBRT (r=−0.3 to −0.47, P=0.01) compared with the baseline. The regression model comprising age, body mass index, Gleason score, T category, androgen-deprivation therapy use, radiation dose received, symptoms (urinary/sexual/bowel problems, fatigue), and overall symptom distress explained 70% of the variance in predicting HRQOL. Urinary problems and fatigue significantly predicted the decline in HRQOL during EBRT.

Conclusion

Identifying specific symptoms that can influence HRQOL during EBRT for NMPC can provide feasible interventional targets to improve treatment outcomes.