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A 53-year-old female presented with a large (945 cc) unresectable leiomyosarcoma of the uterus, with metastasis in the lungs, significant abdominal/pelvic pain and evidence of hydronephrosis secondary to obstruction caused by the mass. In an effort to palliate symptoms, radiation was recommended.
Methods:
Given the size of the lesion, the patient was treated with crossfire GRID, a type of spatially fractionated radiotherapy (18 Gy × 1), followed four weeks later by a short course of external beam radiation (4 Gy × 5).
Results:
The patient experienced significant symptom relief. Her abdominal/pelvic pain resolved, and a stent was placed to relieve her hydronephrosis. The tumour volume had decreased significantly (5·5 months post-treatment 276 cc, 8·5 months post-treatment 17 cc). Unfortunately, at 9 months post-treatment, the patient died from progression of her metastatic disease in the lungs.
Conclusions:
The use of GRID radiotherapy resulted in effective and sustained palliation of a large uterine leiomyosarcoma in this patient’s case.
This study aimed to assess the perception of radiographers on the difficulties encountered during the delineation of organs at risk (OARs) for radiotherapy planning and the methods that could be used to facilitate this process.
Methodology:
A self-designed questionnaire was distributed to all radiographers (n = 29) employed at the radiotherapy department in Malta. The survey assessed the challenges faced by the radiographers during the delineation of various OARs and inquired about the perceived effectiveness of specific measures that could be used to facilitate the delineation process using a Likert scale ranging from 1 (not difficult/effective) to 5 (very difficult/effective).
Results:
The response rate was 79%. Overall, the delineation of OARs was rated as slightly difficult (mean score 1.95 ± 0.33). Nevertheless, some OARs, such as the parotid, stomach and brain stem, were deemed more difficult to contour with a mean score of 3 or higher. The implementation of peer review was perceived as the most influential factor in reducing delineation difficulty (mean score 4.59 ± 0.58), followed by contouring training (mean score 4.48 ± 0.58) and training on artificial intelligence (AI) (mean score 4.35 ± 0.48).
Conclusion:
The introduction of peer review, training and AI could facilitate the delineation of OARs.
