Pharmacokinetic analysis of DCE-MRI data of locally advanced cervical carcinoma with the Brix model

Acta Oncologica
Kjersti V LundEinar K Rofstad

Abstract

Background: There is significant evidence that DCE-MRI may have the potential to provide clinically useful biomarkers of the outcome of locally advanced cervical carcinoma. However, there is no consensus on how to analyze DCE-MRI data to arrive at the most powerful biomarkers. The purpose of this study was to analyze DCE-MRI data of cervical cancer patients by using the Brix pharmacokinetic model and to compare the biomarkers derived from the Brix analysis with biomarkers determined by non-model-based analysis [i.e., low-enhancing tumor volume (LETV) and tumor volume with increasing signal (TVIS)] of the same patient cohort. Material and methods: DCE-MRI recordings of 80 patients (FIGO stage IB-IVA) treated with concurrent cisplatin-based chemoradiotherapy were analyzed voxel-by-voxel, and frequency distributions of the three parameters of the Brix model (ABrix, kep, and kel) were determined. Moreover, risk volumes were calculated from the Brix parameters and termed RV-ABrix, RV-kep, and RV-kel, where the RVs represent the tumor volume with voxel values below a threshold value determined by ROC analysis. Disease-free survival (DFS) and overall survival (OS) were used as measures of treatment outcome. Results: Significant associ...Continue Reading

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Apr 28, 2017·Acta Oncologica·Kjersti V LundEinar K Rofstad

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Citations

Jul 24, 2020·Cancers·Jon-Vidar GaustadEinar K Rofstad
Apr 28, 2021·Magnetic Resonance Imaging·Levebvre JulieBalvay Daniel

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