Literature DB >> 31321614

Longitudinal, leakage corrected and uncorrected rCBV during the first-line treatment of glioblastoma: a prospective study.

Eike Steidl1,2,3, Mathias Müller4, Andreas Müller4, Ulrich Herrlinger5, Elke Hattingen6,4,7.   

Abstract

PURPOSE: Dynamic susceptibility contrast (DSC) MR-perfusion is becoming a standard of care for the monitoring of glioblastoma. Yet, technical standards are lacking and measurements without leakage correction are still common. Also, data on leakage corrected measurements during stable disease is scarce. In this study we hypothesized that basic leakage correction would significantly enhance data quality during stable disease and improve progress detection. We furthermore investigated whether longitudinal data could increase diagnostic performance.
METHODS: Patients with histologically proven glioblastoma undergoing first-line therapy were prospectively recruited. We conducted DSC perfusion measurements without prebolus administration in 6-week intervals from the end of radiotherapy until progression. Maximum relative cerebral volume values (rCBVmax) with and without leakage correction were calculated using Philips IntelliSpace®.
RESULTS: We recruited 16 patients and conducted 82 MRI scans with a mean follow up of 7.2 month. During stable disease, corrected rCBVmax was significantly more stable than uncorrected rCBVmax. Detection of progression with a rCBVmax cutoff was better for corrected (specificity 86%) than for uncorrected rCBVmax (specificity 41%). Interestingly, the increase of corrected rCBVmax upon progression also had a good diagnostic performance with a combination of both cutoffs delivering the best result (sensitivity/specificity 89%/93%).
CONCLUSION: Corrected rCBVmax supports the imaging finding of a stable disease and large increases during longitudinal observation support the diagnosis of tumor progression. rCBV values without prebolus or leakage correction are not reliable to monitor glioblastomas. Further studies to investigate the value of longitudinal rCBV dynamics for the differentiation of real tumor progression from pseudoprogression are warranted.

Entities:  

Keywords:  DSC perfusion; Glioblastoma; Leakage correction; Treatment monitoring

Mesh:

Substances:

Year:  2019        PMID: 31321614     DOI: 10.1007/s11060-019-03244-6

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  3 in total

1.  Dynamic Susceptibility Perfusion Imaging for Differentiating Progressive Disease from Pseudoprogression in Diffuse Glioma Molecular Subtypes.

Authors:  Vivien Richter; Uwe Klose; Benjamin Bender; Katharina Rabehl; Marco Skardelly; Jens Schittenhelm; Ghazaleh Tabatabai; Johann-Martin Hempel; Ulrike Ernemann; Cornelia Brendle
Journal:  J Clin Med       Date:  2021-02-05       Impact factor: 4.241

2.  Evaluation of perfusion MRI value for tumor progression assessment after glioma radiotherapy: A systematic review and meta-analysis.

Authors:  Longlong Wang; Lizhou Wei; Jingjian Wang; Na Li; Yanzhong Gao; Hongge Ma; Xinran Qu; Ming Zhang
Journal:  Medicine (Baltimore)       Date:  2020-12-24       Impact factor: 1.817

3.  Longitudinal structural and perfusion MRI enhanced by machine learning outperforms standalone modalities and radiological expertise in high-grade glioma surveillance.

Authors:  Loizos Siakallis; Carole H Sudre; Paul Mulholland; Naomi Fersht; Jeremy Rees; Laurens Topff; Steffi Thust; Rolf Jager; M Jorge Cardoso; Jasmina Panovska-Griffiths; Sotirios Bisdas
Journal:  Neuroradiology       Date:  2021-05-28       Impact factor: 2.995

  3 in total

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