"The Cheap Pistol."

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The impact of vaginal dilator use on vaginal stenosis and sexual quality of life in women treated with adjuvant radiotherapy for endometrial cancer

BACKGROUND: Despite a lack of evidence and low compliance, current guidelines recommend the use of a vaginal dilator (VD) after pelvic radiotherapy (RT). We analyzed the effect of VD on vaginal stenosis (VS) and its influence on sexual quality of life (QoL) in women treated with adjuvant RT for endometrial cancer (EC). METHODS: Between 2014 and 2015, 56 consecutive patients were instructed to use a VD after completion of treatment. The maximum diameter of the comfortably introducible VD was measured before and at 1 year after treatment. The degree of VS was evaluated clinically, and sexual QoL was assessed with the European Organisation for Research and Treatment of Cancer (EORTC) sexual functioning items before RT, during RT, at 6 weeks, and at 1 year after RT. RESULTS: One year after RT, mean VD diameter had decreased by 2.7 ± 3.2 mm (p < 0.001) and 36 patients (64.3%) had clinical VS (grade I-III). A larger decrease in VD diameter correlated with a higher degree of clinical VS (p < 0.001). VD use (p = 0.81), RT modality (p = 0.68), and adjuvant ChT (p = 0.87) had no influence on VD diameter. Sexual activity decreased during RT and increased beyond pre-RT values 1 year after RT (p < 0.001). Sexual enjoyment decreased continuously during and after completion of RT (p = 0.013) and was influenced negatively by a higher degree of clinical VS (p = 0.01). CONCLUSION: Almost two thirds of patients developed clinical VS 1 year after adjuvant RT for EC, and sexual enjoyment was substantially reduced by VS. The use of a VD after RT may not serve to prevent sexual impairments and VS

Worst case optimization for interfractional motion mitigation in carbon ion therapy of pancreatic cancer

Introduction: The efficacy of radiation therapy treatments for pancreatic cancer is compromised by abdominal motion which limits the spatial accuracy for dose delivery - especially for particles. In this work we investigate the potential of worst case optimization for interfractional offline motion mitigation in carbon ion treatments of pancreatic cancer. Methods: We implement a worst case optimization algorithm that explicitly models the relative biological effectiveness of carbon ions during inverse planning. We perform a comparative treatment planning study for seven pancreatic cancer patients. Treatment plans that have been generated using worst case optimization are compared against (1) conventional intensity-modulated carbon ion therapy, (2) single field uniform dose carbon ion therapy, and (3) an ideal yet impractical scenario relying on daily re-planning. The dosimetric quality and robustness of the resulting treatment plans is evaluated using reconstructions of the daily delivered dose distributions on fractional control CTs. Results: Idealized daily re-planning consistently gives the best dosimetric results with regard to both target coverage and organ at risk sparing. The absolute reduction of D-95 within the gross tumor volume during fractional dose reconstruction is most pronounced for conventional intensity-modulated carbon ion therapy. Single field uniform dose optimization exhibits no substantial reduction for six of seven patients and values for D-95 for worst case optimization fall in between. The treated volume (D > 95 % prescription dose) outside of the gross tumor volume is reduced by a factor of two by worst case optimization compared to conventional optimization and single field uniform dose optimization. Single field uniform dose optimization comes at an increased radiation exposure of normal tissues, e.g. approximate to 2 Gy (RBE) in the mean dose in the kidneys compared to conventional and worst case optimization and approximate to 4 Gy (RBE) in D-1 in the spinal cord compared to worst case optimization. Conclusion: Interfractional motion substantially deteriorates dose distributions for carbon ion treatments of pancreatic cancer patients. Single field uniform dose optimization mitigates the negative influence of motion on target coverage at an increased radiation exposure of normal tissue. Worst case optimization enables an exploration of the trade-off between robust target coverage and organ at risk sparing during inverse treatment planning beyond margin concepts