A non-invasive ultrasound imaging method to measure acute radiation-induced bladder wall thickening in rats.


Journal

Radiation oncology (London, England)
ISSN: 1748-717X
Titre abrégé: Radiat Oncol
Pays: England
ID NLM: 101265111

Informations de publication

Date de publication:
17 Oct 2020
Historique:
received: 15 05 2020
accepted: 06 10 2020
entrez: 18 10 2020
pubmed: 19 10 2020
medline: 31 7 2021
Statut: epublish

Résumé

Methods for the non-invasive quantification of changes in bladder wall thickness as potential predictors of radiation cystitis in pre-clinical research would be desirable. The use of ultrasound for this aim seems promising, but is still relatively unexplored. A method using ultrasound for bladder wall thickness quantification in rats was developed and applied to measure early radiation-induced bladder wall thickness changes. Two groups (n = 9 each) of female Fischer rats were treated with a single radiation dose of 25-30 and 35-40 Gy respectively, using an image-guided micro-irradiator; six untreated rats were monitored as a control group. Empty, half-filled and fully-filled bladder volumes were determined for four non-irradiated rats by measuring axes from ultrasound 3D-images and applying the ellipsoid formula. Mean bladder wall thickness was estimated for both ventral and dorsal bladder sides through the measurement of the bladder wall area along a segment of 4 mm in the central sagittal scan, in order to minimize operator-dependence on the measurement position. Ultrasound acquisitions of all fully-filled rat bladders were also acquired immediately before, and 4 and 28 days after irradiation. Mean bladder wall thickness normalized to the baseline value and corrected for filling were then used to evaluate acute bladder wall thickening and to quantify the dose-effect. The relationship between mean bladder wall thickness and volume in unirradiated rats showed that for a bladder volume > 1.5 mL the bladder wall thickness is almost constant and equal to 0.30 mm with variations within ± 15%. The average ratios between post and pre irradiation showed a dose-effect relationship. Bladder wall thickening was observed for the 25-30 Gy and 35-40 Gy groups in 2/9 (22%) and 5/9 (56%) cases at day 4 and in 4/9 (44%) and 8/9 (89%) cases at day 28, respectively. The two groups showed significantly different bladder wall thickness both relative to the control group (p < 0.0001) and between them (p = 0.022). The bladder wall thickness increment was on average 1.32 ± 0.41, and was 1.30 ± 0.21 after 25-30 Gy and 1.47 ± 0.29 and 1.90 ± 0.83 after 35-40 Gy at days 4 and 28 respectively. The feasibility of using ultrasound on a preclinical rat model to detect bladder wall thickness changes after bladder irradiation was demonstrated, and a clear dose-effect relationship was quantified. Although preliminary, these results are promising in addressing the potential role of this non-invasive approach in quantifying radiation cystitis.

Sections du résumé

BACKGROUND BACKGROUND
Methods for the non-invasive quantification of changes in bladder wall thickness as potential predictors of radiation cystitis in pre-clinical research would be desirable. The use of ultrasound for this aim seems promising, but is still relatively unexplored. A method using ultrasound for bladder wall thickness quantification in rats was developed and applied to measure early radiation-induced bladder wall thickness changes.
METHODS METHODS
Two groups (n = 9 each) of female Fischer rats were treated with a single radiation dose of 25-30 and 35-40 Gy respectively, using an image-guided micro-irradiator; six untreated rats were monitored as a control group. Empty, half-filled and fully-filled bladder volumes were determined for four non-irradiated rats by measuring axes from ultrasound 3D-images and applying the ellipsoid formula. Mean bladder wall thickness was estimated for both ventral and dorsal bladder sides through the measurement of the bladder wall area along a segment of 4 mm in the central sagittal scan, in order to minimize operator-dependence on the measurement position. Ultrasound acquisitions of all fully-filled rat bladders were also acquired immediately before, and 4 and 28 days after irradiation. Mean bladder wall thickness normalized to the baseline value and corrected for filling were then used to evaluate acute bladder wall thickening and to quantify the dose-effect.
RESULTS RESULTS
The relationship between mean bladder wall thickness and volume in unirradiated rats showed that for a bladder volume > 1.5 mL the bladder wall thickness is almost constant and equal to 0.30 mm with variations within ± 15%. The average ratios between post and pre irradiation showed a dose-effect relationship. Bladder wall thickening was observed for the 25-30 Gy and 35-40 Gy groups in 2/9 (22%) and 5/9 (56%) cases at day 4 and in 4/9 (44%) and 8/9 (89%) cases at day 28, respectively. The two groups showed significantly different bladder wall thickness both relative to the control group (p < 0.0001) and between them (p = 0.022). The bladder wall thickness increment was on average 1.32 ± 0.41, and was 1.30 ± 0.21 after 25-30 Gy and 1.47 ± 0.29 and 1.90 ± 0.83 after 35-40 Gy at days 4 and 28 respectively.
CONCLUSIONS CONCLUSIONS
The feasibility of using ultrasound on a preclinical rat model to detect bladder wall thickness changes after bladder irradiation was demonstrated, and a clear dose-effect relationship was quantified. Although preliminary, these results are promising in addressing the potential role of this non-invasive approach in quantifying radiation cystitis.

Identifiants

pubmed: 33069240
doi: 10.1186/s13014-020-01684-3
pii: 10.1186/s13014-020-01684-3
pmc: PMC7568412
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

240

Subventions

Organisme : Associazione Italiana per la Ricerca sul Cancro
ID : 21441

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Auteurs

Antonello E Spinelli (AE)

Experimental Imaging Centre, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy. spinelli.antonello@hsr.it.

Andrea Bresolin (A)

Medical Physics, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Fondazione Centro San Raffaele, Milan, Italy.

Stefania Zuppone (S)

Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Laura Perani (L)

Experimental Imaging Centre, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.

Giuseppe Fallara (G)

Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Nadia Di Muzio (N)

Radiation Oncology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
University Vita-Salute San Raffaele, Milan, Italy.

Riccardo Vago (R)

Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy.
University Vita-Salute San Raffaele, Milan, Italy.

Claudio Fiorino (C)

Medical Physics, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Cesare Cozzarini (C)

Radiation Oncology, IRCCS San Raffaele Scientific Institute, Milan, Italy.

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Classifications MeSH