Contrast-enhanced CT texture parameters as predictive markers of high-risk urodynamic features in adult patients with spina bifida

Zine-Eddine Khene (1) , Claire Richard (1) , Juliette Hascoet (1, 2, 3) , Anis Gasmi (1) , Anna Goujon (1) , Charlène Brochard (1, 3, 2) , Magali Jezequel (1) , Quentin Alimi (1) , Laurent Siproudhis (1, 3, 2) , Guillaume Bouguen (1, 3, 2) , Jacques Kerdraon (1) , Andrea Manunta (1) , Xavier Gamé (4) , Romain Mathieu (1) , Benoit Peyronnet (1, 3, 2)

1 Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Ponchaillou]
2 CIC - Centre d'Investigation Clinique [Rennes]
3 NuMeCan - Nutrition, Métabolismes et Cancer
4 CHU Toulouse - Centre Hospitalier Universitaire de Toulouse

OBJECTIVE : To investigate computed tomography (CT) texture analysis of the bladder wall as a predictor of urodynamics findings in adult patient with spina bifida.METHODS : A single-center prospective trial was conducted from March 2015 to March 2017 including all consecutive adult spina bifida patients seen for urodynamic testing. A contrast-enhanced abdominal CT was systematically performed in all patients during the same visit. Texture features of the bladder wall related to the gray-level histogram and gray-level co-occurrence were evaluated on CT images. Multivariate analysis was performed to identify independent predictors of poor bladder compliance and detrusor overactivity among clinical and texture parameters.RESULTS : Fourty patients were included. The Lasso penalized logistic regression analysis identified 2 texture parameters as potential predictors of poor bladder compliance: Skewness (coefficient weight, -1.81) and S.1.1.SumVarnc (coefficient weight, -3.52). Multivariate logistic regression analysis confirmed skewness (odds ratio [confidence interval 95%] = 0.40 [0.14, 0.97], P = .04) as an independent predictor of poor bladder compliance. The Lasso penalized logistic regression analysis identified one texture parameters as potential predictor of detrusor overactivity: Kurtosis (coefficient weight, -3.52), which was confirmed in multivariate logistic regression analysis (odds ratio [confidence interval 95%] = 1.12 [1.01, 1.55], P = .02).CONCLUSION : Our findings demonstrate that CT texture analysis of the bladder wall might be an interesting tool to identify spina bifida patients with high risk urodynamic features.

Mots clés: Computed tomography; neurogenic; spina bifida; texture analysis; urinary bladder; urodynamic

Domaines: Sciences du Vivant [q-bio]

Zine-Eddine Khene, Claire Richard, Juliette Hascoet, Anis Gasmi, Anna Goujon, et al.. Contrast-enhanced CT texture parameters as predictive markers of high-risk urodynamic features in adult patients with spina bifida. Urology, 2019, 134, pp.84-89. ⟨10.1016/j.urology.2019.09.023⟩. ⟨hal-02363655⟩