Model-free dynamic contrast-enhanced MRI analysis: differentiation between active tumor and necrotic tissue in patients with glioblastoma

Bressler, Idan; Bashat, Dafna Ben; Buchsweiler, Yuval; Aizenstein, Orna; Limon, Dror; Bokestein, Felix; Blumenthal, T Deborah; Nevo, Uri; Artzi, Moran

doi:10.1007/s10334-022-01045-z

Cited by 1 publication

(1 citation statement)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All patients with glioblastoma eventually relapse. It is challenging to differentiate relapsed tumor from other treatment-related changes during the follow-up of glioma patients ( 85 – 92 ). Thomas et al.…”

Section: Application Of Conventional Tracer Kinetic Models In Glioma ...mentioning

confidence: 99%

Review of tracer kinetic models in evaluation of gliomas using dynamic contrast-enhanced imaging

Zhou,

Hou,

Tian

et al. 2024

Front. Oncol.

View full text Add to dashboard Cite

Glioma is the most common type of primary malignant tumor of the central nervous system (CNS), and is characterized by high malignancy, high recurrence rate and poor survival. Conventional imaging techniques only provide information regarding the anatomical location, morphological characteristics, and enhancement patterns. In contrast, advanced imaging techniques such as dynamic contrast-enhanced (DCE) MRI or DCE CT can reflect tissue microcirculation, including tumor vascular hyperplasia and vessel permeability. Although several studies have used DCE imaging to evaluate gliomas, the results of data analysis using conventional tracer kinetic models (TKMs) such as Tofts or extended-Tofts model (ETM) have been ambiguous. More advanced models such as Brix’s conventional two-compartment model (Brix), tissue homogeneity model (TH) and distributed parameter (DP) model have been developed, but their application in clinical trials has been limited. This review attempts to appraise issues on glioma studies using conventional TKMs, such as Tofts or ETM model, highlight advancement of DCE imaging techniques and provides insights on the clinical value of glioma management using more advanced TKMs.

show abstract

Section: Application Of Conventional Tracer Kinetic Models In Glioma ...mentioning

confidence: 99%

Review of tracer kinetic models in evaluation of gliomas using dynamic contrast-enhanced imaging

Zhou,

Hou,

Tian

et al. 2024

Front. Oncol.

View full text Add to dashboard Cite

show abstract

Model-free dynamic contrast-enhanced MRI analysis: differentiation between active tumor and necrotic tissue in patients with glioblastoma

Cited by 1 publication

References 42 publications

Review of tracer kinetic models in evaluation of gliomas using dynamic contrast-enhanced imaging

Review of tracer kinetic models in evaluation of gliomas using dynamic contrast-enhanced imaging

Contact Info

Product

Resources

About