Clinical validation of semi-automated software for volumetric and dynamic contrast enhancement analysis of soft tissue venous malformations on Magnetic Resonance Imaging examination

Caty, Véronique; Kauffmann, Claude; Dubois, Josée; Mansour, Asmaa; Giroux, Marie‐France; Oliva, Vincent L.; Piché, Nicolas; Thérasse, Éric; Soulez, Gilles

doi:10.1007/s00330-013-3066-9

Cited by 16 publications

(7 citation statements)

References 26 publications

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“…The size of a VM is an important factor in sclerotherapy: the larger the VM is, the more sclerosant and greater number of sessions are needed 19 . However, there was no association between the VM volume and treatment response in a study of sclerotherapy for VMs by Khaitovich et al 2 Caty et al 8 reported that evaluation of VM volume using MRI was more sensitive than diameter measurement for detecting size variation and responses to sclerotherapy. Similarly, VM volume was not a good predictor of the long‐term response to treatment in this study.…”

Section: Discussionmentioning

confidence: 99%

Value of Dynamic Contrast‐Enhanced (DCE) MRI in Predicting Response to Foam Sclerotherapy of Venous Malformations

Xia

Yuan

et al. 2021

Magnetic Resonance Imaging

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Background Preoperative imaging assessment of venous malformations (VMs) and prediction of foam sclerotherapy efficacy might be achievable by DCE‐MRI but elaborate quantitive analysis was absent. Purpose To evaluate the value of DCE‐MRI in predicting the effectiveness of foam sclerotherapy in VMs. Study Type Retrospective. Population Fifty‐five patients (M:F = 17:38; mean age ± SD, 15.4 ± 13.0 years) with VMs. Field Strength/Sequence Three Tesla MRI with 3D T1‐weighted volume interpolated body examination. Assessment Patients who underwent pretreatment DCE‐MRI were divided into “effective” and “ineffective” groups according to the response to foam sclerotherapy. Clinical characteristics and morphologic features were assessed. The semiquantitative parameters, such as maximum intensity time ratio (MITR), enhancement ratio (ER), and Slope, were obtained from ROI and volume of interest (VOI). The quartile and mean values of these parameters were acquired from VOI, while mean values denoted as Mean# were acquired from ROI. Establishment of two predictive models was based on ROI and VOI respectively. Model 1 was based on morphologic parameters and ROI semiquantitative parameters, while model 2 was based on morphologic parameters and VOI semiquantitative parameters. Statistical Analysis Mann–Whitney U‐test, Cohen's kappa, multivariate logistic regression analysis (backward stepwise), and ROC analyses. Results The lesion classification, presence of phlebolith, semiquantitative parameters of VOI (quartile and mean of MITR), and semiquantitative parameters of ROI (Slopemean#, MITRmean#) were significantly different between two groups. Lesion classification (P = 0.002) and MITRmean# (P = 0.027) were independent predictors for poor efficacy in model 1 as determined by multivariate binary logistic regression analysis. For model 2, lesion classification (P = 0.006) and MITR25 (P = 0.001) were independent predictors. The predictive model based on VOI (AUC = 0.961) performed better than that based on ROI (AUC = 0.909) in predicting therapeutic response. Data Conclusion DCE‐MRI is promising in predicting the response to foam sclerotherapy for VMs. The whole lesion VOI‐based model showed better performance and could instruct surgical approach in the future. Evidence Level 3 Technical Efficacy Stage 4

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Section: Discussionmentioning

confidence: 99%

Value of Dynamic Contrast‐Enhanced (DCE) MRI in Predicting Response to Foam Sclerotherapy of Venous Malformations

Xia

Yuan

et al. 2021

Magnetic Resonance Imaging

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“…Morphological classifications of venous malformations depend upon the shape, the margin, maximum diameter, location and volume of the lesion. [28][29][30] The hemodynamic classifications of venous malformations depend upon the pattern of draining veins. The hemodynamic pattern of the draining veins has influence upon the method of treatment and has impact on response of venous malformation to the therapy.…”

Section: Discussionmentioning

confidence: 99%

Clinical value of classification of venous malformations with contrast-enhanced MR Angiography

2016

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Aim To classify venous malformations based on contrast-enhanced MR angiography that may serve as a basis for treatment plan. Patients and methods A retrospective analysis was performed in 58 patients with venous malformations who underwent contrast-enhanced MR angiography. Venous malformations were classified according to their venous drainage into: type I, isolated malformation without peripheral drainage; type II, malformation that drains into normal veins; type III, malformation that drains into dilated veins; and type IV, malformation that represents dysplastic venous ectasia. Image analysis was done by two reviewers. Intra and inter-observer agreement of both reviewers and intra-class correlation was done. Results The intra-observer agreement of contrast-enhanced MR angiography classification of venous malformations was excellent for the first reviewer ( k = 0.83, 95% CI = 0.724-0.951, P = 0.001) and substantial for the second reviewer ( K = 0.79, 95% CI = 0.656-0.931, P = 0.001). The inter-observer agreement of contrast-enhanced MR angiography classification of venous malformations was excellent for both reviewers at the first time ( K = 0.96, 95% CI = 0.933-1.000, P = 0.001) and second time ( k = 0.81, 95% CI = 0.678-0.942, P = 0.001). There was high intra-class correlation of both reviewers for single measure ( ICC = 0.85, 95% CI = 0.776-0.918, P = 0.001) and for average measures ( ICC = 0.96, 95% CI = 0.933-0.978, P = 0.001). Conclusion Contrast-enhanced MR angiography classification of venous malformations may be a useful, simple and reliable tool to accurately classify venous malformation and this topographic classification helps for better management strategy.

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“…57 Treatment efficacy is most commonly assessed by determining the reduction in size and extent of the VM following the intervention, which is best appreciated by the decrease in signal intensity volume on fat-suppressed T2WIs. 57,58 This reduction in signal intensity is contributed by fibrotic scarring or thrombosis within the lesion following sclerotherapy. 59…”

Section: Low-flow Vascular Malformations and Associated Syndromesmentioning

confidence: 99%

Imaging of benign cervicofacial vascular anomalies and associated syndromes

et al. 2021

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Cervicofacial vascular anomalies can result in morbidity, pain, and cosmetic concerns in affected individuals. Each anomaly has its own unique natural history, treatment, and associations with underlying genetic syndromes. For optimal patient care, it is important for the neuroradiologist to accurately recognize and characterize these entities to ensure appropriate treatment and management. In this review, we discuss the general characteristics, classifications, and imaging features associated with the most common vascular anomalies such as hemangiomas, arteriovenous malformations and fistulas, capillary malformations, venous malformations, and lymphatic malformations in the context of associated syndromes. Additionally, we discuss novel imaging techniques that aid in identifying these vascular anomalies.

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Clinical validation of semi-automated software for volumetric and dynamic contrast enhancement analysis of soft tissue venous malformations on Magnetic Resonance Imaging examination

Cited by 16 publications

References 26 publications

Value of Dynamic Contrast‐Enhanced (DCE) MRI in Predicting Response to Foam Sclerotherapy of Venous Malformations

Value of Dynamic Contrast‐Enhanced (DCE) MRI in Predicting Response to Foam Sclerotherapy of Venous Malformations

Clinical value of classification of venous malformations with contrast-enhanced MR Angiography

Imaging of benign cervicofacial vascular anomalies and associated syndromes

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