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Prognostic prediction based on dynamic contrast-enhanced MRI and dynamic susceptibility contrast-enhanced MRI parameters from non-enhancing, T2-high-signal-intensity lesions in patients with glioblastoma

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Title
Prognostic prediction based on dynamic contrast-enhanced MRI and dynamic susceptibility contrast-enhanced MRI parameters from non-enhancing, T2-high-signal-intensity lesions in patients with glioblastoma
Author(s)
Jo, Sang Won; Seung Hong Choi; Lee, Eun Jung; Yoo, Roh-Eul; Kang, Koung Mi; Yun, Tae Jin; Kim, Ji-Hoon; Sohn, Chul-Ho
Publication Date
2021-08
Journal
Korean Journal of Radiology, v.22, no.8, pp.1369 - 1378
Publisher
Korean Radiological Society
Abstract
© 2021 The Korean Society of Radiology.Objective: Few attempts have been made to investigate the prognostic value of dynamic contrast-enhanced (DCE) MRI or dynamic susceptibility contrast (DSC) MRI of non-enhancing, T2-high-signal-intensity (T2-HSI) lesions of glioblastoma multiforme (GBM) in newly diagnosed patients. This study aimed to investigate the prognostic values of DCE MRI and DSC MRI parameters from non-enhancing, T2-HSI lesions of GBM. Materials and Methods: A total of 76 patients with GBM who underwent preoperative DCE MRI and DSC MRI and standard treatment were retrospectively included. Six months after surgery, the patients were categorized into early progression (n = 15) and non-early progression (n = 61) groups. We extracted and analyzed the permeability and perfusion parameters of both modalities for the non-enhancing, T2-HSI lesions of the tumors. The optimal percentiles of the respective parameters obtained from cumulative histograms were determined using receiver operating characteristic (ROC) curve and univariable Cox regression analyses. The results were compared using multivariable Cox proportional hazards regression analysis of progression-free survival. Results: The 95th percentile value (PV) of Ktrans, mean Ktrans, and median Ve were significant predictors of early progression as identified by the ROC curve analysis (area under the ROC curve [AUC] = 0.704, p = 0.005; AUC = 0.684, p = 0.021; and AUC = 0.670, p = 0.0325, respectively). Univariable Cox regression analysis of the above three parametric values showed that the 95th PV of Ktrans and the mean Ktrans were significant predictors of early progression (hazard ratio [HR] = 1.06, p = 0.009; HR = 1.25, p = 0.017, respectively). Multivariable Cox regression analysis, which also incorporated clinical parameters, revealed that the 95th PV of Ktrans was the sole significant independent predictor of early progression (HR = 1.062, p < 0.009). Conclusion: The 95th PV of Ktrans from the non-enhancing, T2-HSI lesions of GBM is a potential prognostic marker for disease progression.
URI
https://pr.ibs.re.kr/handle/8788114/10934
DOI
10.3348/KJR.2020.1272
ISSN
1229-6929
Appears in Collections:
Center for Nanoparticle Research(나노입자 연구단) > 1. Journal Papers (저널논문)
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