To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
The aim of this study was to identify potential risk factors for acute and late genitourinary toxicities and to determine, using a logistic regression model, which of these factors are also significant and robust predictors of these toxicities.
Methods:
We conducted a retrospective study by analysing the patient records and their treatment plans from 2013 to 2021. In total, a cohort of 46 patients with clinically staged cT1c-T4N0-1M0 prostate adenocarcinoma was treated with three-dimensional conformal radiotherapy (3D-CRT) with doses ranging from 66 to 80 Gy. Post-radiotherapy genitourinary toxicities were classified and graded according to the Common Terminology Criteria for Adverse Events (CTCAE v4.0).
Results:
Median follow-up was 57·5 months (range: 39 – 88 months). In univariable analysis, patient age (p = 0·040), the prostate volume (p = 0·0423), the clinical prostate volume irradiated at the prescribed dose (p = 0·029) and the volume of the bladder receiving doses varying from 60 to 70 Gy were correlated with acute GU toxicities. Arterial hypertension (p = 0·022), some pre-existing urinary symptoms, a history of catheterisation (p = 0·044) and acute genitourinary toxicity (p = 0.009) were linked to late genitourinary toxicities. The logistic regression model found that the prostate volume (p = 0·0423) and the clinical prostate volume irradiated at the prescribed dose (p = 0·029) were predictive of acute GU toxicity. Hypertension (p = 0·039) and acute toxicities were predictive of late GU toxicity.
Conclusion:
The results of our study showed that it is essential to identify patients at risk of toxicities from the start of radiotherapy and to offer more proactive monitoring and management.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.