Purpose: To determine the pattern of changes of rectum and bladder structures during conformal therapy of T3 prostate cancer and the impact of these changes on the accuracy of the dose-volume histograms (DVHs) and normal tissue complication probabilities (NTCPs) of these organs, based on the planning computed tomography (CT) scan only.
Methods And Materials: For 11 T3 prostate cancer patients treated with conformal therapy, three repeat CT scans were made in Weeks 2, 4, and 6 of the treatment. The bony anatomy was aligned with the planning CT scan, using three dimensional (3D) chamfer matching. The internal and external surfaces of rectum and bladder were contoured in each scan. Three volumes were calculated for each organ: solid organ (including filling), filling, and wall volume. DVHs and NTCPs were calculated for all structures.
Results: The solid organ and filling volumes varied considerably between patients and within a patient and they decreased with increasing treatment time. The largest patient variation was seen for patients with large initial filling volumes. The variations of rectum and bladder wall volumes during treatment were 9 and 17% (1 standard deviation (SD)), respectively, with no time trend. The changes of the high dose (> 80 and 90% of the prescribed dose) volumes of the rectum in response to rectum filling differences were proportional to the whole rectum volume changes. The variation of the high-dose rectum wall volume was relatively small (14%, 1 SD). As a result, the NTCPs of rectum and rectum wall were the same overall and the variation of the NTCPs during treatment was about 14% (1 SD) and not correlated with rectum filling. The variation of the high-dose bladder volumes (about 14%, 1 SD) was smaller than the variation of the whole bladder volumes (30%, 1 SD). The high-dose bladder wall volume decreased significantly due to wall distention as the bladder filling increased. As a result of this complex pattern, the variation of NTCPs of bladder (85%, 1 SD) and bladder wall (88%, 1 SD) during treatment was large and significantly correlated with bladder filling.
Conclusions: The planning CT scan overestimates rectum and bladder filling during treatment. Furthermore, the variation of filling is so large that only the wall structures have relatively constant volumes during treatment. For the rectum wall, the DVHs and NTCPs, as estimated from the initial scan, are representative for the whole treatment, because no correlation was seen between these parameters and organ filling. For the bladder wall, however, such a correlation was present and consequently, the initial bladder wall DVHs and NTCPs can only be representative for the whole treatment, if the bladder filling can be kept reasonably constant during treatment.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/0360-3016(95)00253-7 | DOI Listing |
Am J Obstet Gynecol
January 2025
Nantes University, Inserm, TENS, The Enteric Nervous System in Gut and Brain Diseases, IMAD, Nantes, France.
Background: A subgroup of patients with chronic pelvic pain (CPP) exhibit organ sensitization, whose origin and mechanism remains largely unknown. Changes in microbiota composition in pelvic organs have been found to be associated with various pelvic pathological conditions. Therefore, a comprehensive analysis of the gut and genito-urinary microbiota composition and interactions in women with CPP may be key to understanding their involvement in the sensitization processes.
View Article and Find Full Text PDFTech Innov Patient Support Radiat Oncol
March 2025
Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Tokushima 770-8503, Japan.
Purpose: This study aims to compare treatment plans created using RapidPlan and PlanIQ for twelve patients with prostate cancer, focusing on dose uniformity, dose reduction to organs at risk (OARs), plan complexity, and dose verification accuracy. The goal is to identify the tool that demonstrates superior performance in achieving uniform target dose distribution and reducing OAR dose, while ensuring accurate dose verification.
Methods: Dose uniformity in the planning target volume, excluding the rectum, and dose reduction in the OARs (the rectum and bladder) were assessed.
Phys Imaging Radiat Oncol
January 2025
Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Background And Purpose: A novel ring-gantry cone-beam computed tomography (CBCT) imaging system shows improved image quality compared to its conventional version, but its effect on autosegmentation is unknown. This study evaluates the impact of this high-performance CBCT on autosegmentation performance, inter-observer variability, contour correction times and delineation confidence, compared to the conventional CBCT.
Materials And Methods: Twenty prostate cancer patients were enrolled in this prospective clinical study.
Tech Innov Patient Support Radiat Oncol
March 2025
Mount Vernon Cancer Centre, Northwood, United Kingdom.
Brachytherapy is a key treatment for gynaecological malignancies, delivering high doses to the tumour volume whilst sparing nearby normal tissues due to its steep dose gradient. Accuracy is imperative as small shifts can lead to clinically significant under- or over-dosing of the target volume or organs at risk (OARs), respectively. Independent verification of dose delivered during brachytherapy is not routinely performed but it is important to identify gross errors and define action thresholds to guide inter-fraction treatment decisions.
View Article and Find Full Text PDFInt Urol Nephrol
January 2025
Department of Colorectal Surgery, Heliopolis Hospital, São Paulo, SP, Brazil.
Purpose: Locally advanced colorectal tumors frequently invade adjacent organs, particularly the urinary bladder in the sigmoid colon and upper rectum, complicating multivisceral resections. This study compared postoperative outcomes of partial cystectomy (PC) and total cystectomy (TC) in patients with locally advanced colorectal cancer.
Methods: A systematic review was conducted in PubMed, Scopus, Central Register of Clinical Trials, and Web of Science for studies published up to November 2024.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!