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Delineating the Inner Bladder Surface Using Uniform Contractions from the Outer Surface Under Variable Bladder Filling Conditions

Overview
Journal Br J Radiol
Specialty Radiology
Date 2015 Jul 25
PMID 26206519
Citations 1
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Abstract

Objective: To evaluate the methods to delineate the inner bladder (IB) surface using a uniform contraction from the outer bladder (OB) surface, assuming the bladder wall (BW) is either of constant thickness, constant volume or variable volume.

Methods: 14 prostate intensity-modulated radiotherapy patients with 2 planning CTs were identified. For both CTs, OB was delineated using model-based segmentation. IB was delineated manually. Then, using uniform contractions from OB, the position of IB was approximated using a: 2.5-mm contraction, patient-specific contraction, patient-specific constant wall volume method and variable wall volume method. The structures created using those strategies were compared against the manual IB contours using geometric and dosimetric indices.

Results: In the presence of variable bladder filling, use of a generic or patient-specific constant contraction resulted in a significant overestimation of IB volume (+12 and +13 cm(3), respectively; p < 0.001) that was inversely correlated with the difference in urine volume between the scans (R(2) > 0.86). Mean differences across 95% of IB surfaces were ≤2 mm for methods using either constant or variable wall volume. Mean dose-volume histogram (DVH) differences were <1 cm(3) across the whole BW DVH when using the method that assumed a variable wall volume.

Conclusion: The variable volume BW model provided the best approximation of the IB surface position under varying filling conditions, based on geometric and dosimetric indices.

Advances In Knowledge: Use of the equation derived in this research provides a quick and accurate method to delineate the hollow BW on serial imaging for the purposes of dose reconstruction.

Citing Articles

Dynamic Changes in Bladder Morphology Over Time in Cervical Cancer Patients.

Jin F, Liu Q, Luo H, Zhu R, Mou Y, Wu Y Cancer Control. 2021; 28:10732748211021082.

PMID: 34060348 PMC: 8204530. DOI: 10.1177/10732748211021082.

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