Diagnosing Distensible Venous Malformations of the Orbit With Diffusion-weighted Magnetic Resonance Imaging

Kalin-Hajdu, Evan; Colby, John B.; Idowu, Oluwatobi O; Grumbine, F. Lawson; Kang, Jessica; Hirabayashi, Kristin S.; Glastonbury, Christine M.; Vagefi, M. Reza; Kersten, Robert C.

doi:10.1016/j.ajo.2018.02.005

Cited by 13 publications

(12 citation statements)

References 20 publications

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“…Therefore, this study evaluated the feasibility of using quantitative tissue parameters extracted from pre- (PRE-RF) and post-interventional (DELTA-RF) dw-MRI for response prediction to percutaneous sclerotherapy, as diffusion-weighted (dw) imaging with calculation of the apparent diffusion coefficient is a sensitive MRI method to detect venous malformations [ 30 ]. Dw-MRI is influenced by a variety of factors, such as cell density, intralesional thrombosis [ 31 ] or perfusion [ 32 ] and, as shown from data of this study, by sclerosing agents used for percutaneous sclerotherapy.…”

Section: Discussionmentioning

confidence: 99%

Diffusion-Weighted Imaging Prior to Percutaneous Sclerotherapy of Venous Malformations—Proof of Concept Study for Prediction of Clinical Outcome

Gerwing

Schindler

Schneider³

et al. 2022

Diagnostics

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Prediction of response to percutaneous sclerotherapy in patients with venous malformations (VM) is currently not possible with baseline clinical or imaging characteristics. This prospective single-center study aimed to predict treatment outcome of percutaneous sclerotherapy as measured by quality of life (QoL) by using radiomic analysis of diffusion-weighted (dw) magnetic resonance imaging (MRI) before and after first percutaneous sclerotherapy. In all patients (n = 16) pre-interventional (PRE-) and delta (DELTA-) radiomic features (RF) were extracted from dw-MRI before and after first percutaneous sclerotherapy with ethanol gel or polidocanol foam, while QoL was assessed using the Toronto Extremity Salvage Score (TESS) and the 36-Item Short Form Survey (SF-36) health questionnaire. For selecting features that allow differentiation of clinical response, a stepwise dimension reduction was performed. Logistic regression models were fitted and selected PRE-/DELTA-RF were tested for their predictive value. QoL improved significantly after percutaneous sclerotherapy. While no common baseline patient characteristics were able to predict response to percutaneous sclerotherapy, the radiomics signature of VMs (independent PRE/DELTA-RF) revealed high potential for the prediction of clinical response after percutaneous sclerotherapy. This proof-of-concept study provides first evidence on the potential predictive value of (delta) radiomic analysis from diffusion-weighted MRI for Quality-of-Life outcome after percutaneous sclerotherapy in patients with venous malformations.

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Section: Discussionmentioning

confidence: 99%

Diffusion-Weighted Imaging Prior to Percutaneous Sclerotherapy of Venous Malformations—Proof of Concept Study for Prediction of Clinical Outcome

Gerwing

Schindler

Schneider³

et al. 2022

Diagnostics

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“…One study reported that the apparent diffusion coefficient value of VMs was 1.63 ± 0.03 × 10 − 3 mm 2 /s 22 and another study added that the mean apparent diffusion coefficient of distensible orbital VMs was 2.80 ± 0.48 ×10 − 3 mm 2 /s. 25 The difference in apparent diffusion coefficient value between different studies may be attributed to different applied B value, different parameters of the diffusion-weighted MR imaging as well as different composition and regions of VMs. One study reported that vascular lesions such as hemangiomas and VMs revealed high apparent diffusion coefficient value than other benign solid tumors such as neurofibromas.…”

Section: Discussionmentioning

confidence: 99%

“…Diffusion-weighted MR imaging has been widely used in many clinical settings; for evaluation of head and neck cancer, thyroiditis, nasal tumors, 18–20 soft tissue masses and pediatric lymphatic, and VMs. 21–25 Recently, diffusion-weighted MR imaging used for differentiation orbital VM from simulating lesions in the orbit. 25 To our knowledge, the relationship between apparent diffusion coefficient of VMs and presence of LIC has not been established.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of venous malformations with localized intravascular coagulopathy with diffusion-weighted magnetic resonance imaging

Razek

Ashmalla

2018

Phlebology

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Background Venous malformations may be complicated by localized intravascular coagulopathy which is a serious condition with hematological sequel. Prediction of localized intravascular coagulopathy is mandatory for prompt anticoagulation therapy. Laboratory and routine magnetic resonance imaging can predict localized intravascular coagulopathy in venous malformations; however, the results are variable. Purpose To predict venous malformations with localized intravascular coagulopathy with diffusion-weighted magnetic resonance imaging. Material and methods A retrospective analysis was performed on 55 patients (34 male, 21 female aged 14-64 years: mean 39 years) with venous malformations that underwent diffusion-weighted magnetic resonance imaging. The apparent diffusion coefficient value of venous malformations was calculated. Results The mean apparent diffusion coefficient value of venous malformations with localized intravascular coagulopathy (n = 26) (1.28 ± 0.18 × 10mm/s) was significantly different ( P = 0.001) from venous malformations without localized intravascular coagulopathy (n = 29) (1.60 ± 0.18 × 10mm/s). When apparent diffusion coefficient value of 1.454 × 10mm/s was used as a threshold value for the prediction of venous malformations with localized intravascular coagulopathy, the best result was obtained with an accuracy of 83.6%, sensitivity of 84.6%, specificity of 82.8%, and area under the curve of 0.895. The apparent diffusion coefficient value of venous malformations was correlated with D-dimer level ( r = -0.59, P = 0.006) and fibrinogen level ( r = 0.73, P = 0.001). Conclusion The apparent diffusion coefficient value is a non-invasive imaging parameter that can be used to predict venous malformations with localized intravascular coagulopathy.

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“…This non-invasive imaging method has a unique sensitivity for the free movement (diffusion) of water molecules in tissues. The apparent diffusion coefficient value of CHM is reportedly similar to that of solid tumors with medium density, which aids in differentiation from cystic lesions (28,29). However, there have been few studies with relevant data and analysis regarding specific apparent diffusion coefficient thresholds for CHM, or regarding further differential diagnosis findings.…”

Section: Mrimentioning

confidence: 99%

Diagnostic Imaging Methods and Comparative Analysis of Orbital Cavernous Hemangioma

Zhang

Tang

et al. 2020

Front. Oncol.

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Orbital cavernous hemangioma is the most common primary tumor in the orbit. With the development of histopathology, it has been confirmed that cavernous hemangioma is not a real tumor, but a special type of vascular malformation. Cavernous hemangioma malformation(CVM) is a more appropriate way to name it. At present, surgical resection is the main treatment for CVMs. The prognosis of the surgery mainly depends on the location and the size of the lesion as well as its relationship with the optic nerve. Therefore, effective imaging information is of great importance. This paper analyzes the radiological imaging characteristics and the advantages and disadvantages between them, including ultrasound, CT, MRI, and SPECT/CT imaging of CVMs, hoping to help improve our understanding of CVMs.

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Diagnosing Distensible Venous Malformations of the Orbit With Diffusion-weighted Magnetic Resonance Imaging

Cited by 13 publications

References 20 publications

Diffusion-Weighted Imaging Prior to Percutaneous Sclerotherapy of Venous Malformations—Proof of Concept Study for Prediction of Clinical Outcome

Diffusion-Weighted Imaging Prior to Percutaneous Sclerotherapy of Venous Malformations—Proof of Concept Study for Prediction of Clinical Outcome

Prediction of venous malformations with localized intravascular coagulopathy with diffusion-weighted magnetic resonance imaging

Diagnostic Imaging Methods and Comparative Analysis of Orbital Cavernous Hemangioma

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