Seminal Vesicle Treatment for Localized Prostate Cancer Treated with External Beam Radiotherapy.
Tanner SteedNikki ChopraJihyun YunJordan HillBenjamin BurkeSunita GhoshBrad WarkentinNawaid UsmaniPublished in: Current oncology (Toronto, Ont.) (2023)
This study retrospectively reviewed data from men with localized prostate cancer treated with external beam radiotherapy (EBRT). We identified 359 men with localized prostate cancer treated with curative EBRT at the Cross Cancer Institute between 2010-2011. The volume of seminal vesicles (SVs) treated as well as dose values were extracted. These volumes were compared to gold standard contours drawn by a trained expert based on consensus European Society for Radiotherapy and Oncology (ESTRO) contouring guidelines. Patient and tumor characteristics were extracted for these patients. Memorial Sloan Kettering prostate cancer nomogram was used to assign a predicted risk of SV involvement for each patient based on baseline tumor characteristics. In patients with a predicted risk of SV involvement greater than 15% ( n = 184), 86.5% (SD = 18.6) of the base of the SVs were treated with EBRT, compared to 66.7% (SD = 32.6) for patients with a predicted risk of SV involvement less than 15% ( n = 175, p < 0.0001). Similarly, the mean percentage of proximal and total SV volumes treated with EBRT was 75.6% (SD = 24.4) and 68.7% (SD = 26.0) for patients with a predicted risk of SV involvement of greater than 15%, compared to 50.3% (SD = 31.0, p < 0.0001) and 41.0% (SD = 27.8, p < 0.0001) for patients with a risk of less than 15%. The results indicate that all parts of the SVs are more likely to be contoured in men with >15% risk of SV involvement than those with <15% risk. However, radiation oncologists still contour a high percentage of SVs in men with <15% risk of SV involvement, suggesting that there may be over-treatment of SVs that increases the risk of rectal or bladder toxicity.
Keyphrases
- prostate cancer
- radical prostatectomy
- newly diagnosed
- early stage
- locally advanced
- radiation therapy
- end stage renal disease
- case report
- spinal cord injury
- chronic kidney disease
- rectal cancer
- clinical practice
- squamous cell carcinoma
- oxidative stress
- ejection fraction
- prognostic factors
- machine learning
- peritoneal dialysis
- big data
- electronic health record
- artificial intelligence
- squamous cell
- high intensity