Aims: Pelvic radiotherapy adds significantly to the curative treatment of many pelvic malignancies. However, this cure comes at a cost for many patients, where late bowel toxicities, such as faecal incontinence, urgency and diarrhoea, adversely affect quality of life. Despite the implementation of advanced radiotherapy techniques in many centres, there are deficiencies in our knowledge of how to make best use of these techniques to minimise these late toxicities, with dose-volume constraints specifically for late effects needing definition. The aims of this study were to establish dose-volume predictors for patient-reported late bowel toxicities and derive constraints for clinical use to reduce the risk of these toxicities.
Materials And Methods: All radiotherapy patients treated in our institution between 2012 and 2014 for gynaecological and urological cancers (bladder, prostate where pelvic nodes are treated) were identified. Patients were sent patient-reported toxicity questionnaires at 12 and 24 months after treatment. Planning computed tomography scans were retrospectively contoured with different definitions of bowel as organs at risk (OARs). Dose-volume data for each OAR were collected and predictors of these toxicities found using multivariate analysis. For those dose-volume predictors found to be significant on multivariate analysis, statistically significant and clinically relevant dose-volume constraints were derived. Furthermore, data collected were used to validate constraints from published studies.
Results: Faecal urgency, incontinence and diarrhoea rates were found in 52, 23.5 and 18.7% of the 203 patients included at 12 months following radiotherapy. Dose-volume parameters for sigmoid colon and large bowel were significant for these toxicities, and constraints for these OARs were derived, which are promising. A previously published constraint for bowel loops was validated with our data.
Conclusions: The sigmoid colon and large bowel are important OARs for the development of faecal urgency, incontinence and diarrhoea. Promising constraints for these OARs were derived, which require further validation before prospective clinical use.
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http://dx.doi.org/10.1016/j.clon.2021.03.011 | DOI Listing |
Clin Transl Radiat Oncol
January 2025
Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
Anticancer Res
January 2025
Proton Medical Research Center, University of Tsukuba, Ibaraki, Japan.
Background/aim: This study aimed to predict the optimal timing for adaptive radiation therapy (ART) using two-dimensional X-ray image-based water equivalent thickness (2DWET).
Patients And Methods: Forty patients with oropharyngeal and hypopharyngeal cancer underwent Computed Tomography (CT) rescanning during treatment. An adaptive score (AS) was proposed to guide ART decisions based on changes in four dose indices: target coverage, spinal cord dose, parotid gland dose, and over-dose volume.
BMC Cancer
December 2024
Department of Biomedical Sciences, Namur Research Institute for Life Sciences, (NARILIS), Faculty of Medicine, University of Namur, Namur, Belgium.
Background: Lung cancer is a leading cause of cancer mortality and may require high-dose thoracic radiation therapy (RT). However, RT significantly increases the risk of radiation-induced cardiac events, such as pericarditis, cardiomyopathy, and ischemic heart diseases. Despite evidence from clinical trials showing that higher RT doses are associated with poorer survival outcomes due to these cardiac effects, data on dose-volume predictors of such events in lung cancer remain sparse.
View Article and Find Full Text PDFFront Oncol
December 2024
Université Paris-Saclay, CentraleSupélec, Mathématiques et Informatique pour la Complexité et les Systèmes, Gif-sur-Yvette, France.
Background: Cardiac disease (CD) is a primary long-term diagnosed pathology among childhood cancer survivors. Dosiomics (radiomics extracted from the dose distribution) have received attention in the past few years to assess better the induced risk of radiotherapy (RT) than standard dosimetric features such as dose-volume indicators. Hence, using the spatial information contained in the dosiomics features with machine learning methods may improve the prediction of CD.
View Article and Find Full Text PDFCancer Radiother
December 2024
Radiotherapy Oncology Department, Shohada-e Tajrish Educational Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address:
Purpose: Alopecia is a distressing side effect of radiotherapy in patients undergoing treatment for primary brain tumours. This study aimed to investigate the most influential clinical, demographic, and dosimetric factors associated with permanent scalp alopecia in patients with brain tumours treated with intensity-modulated radiations.
Patients And Methods: Eighty patients with brain tumors treated with intensity-modulated radiations were enrolled.
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