Literature DB >> 35441970

Assessment of brain tumors by magnetic resonance dynamic susceptibility contrast perfusion-weighted imaging and computed tomography perfusion: a comparison study.

Elisa Scola1, Ilaria Desideri2, Andrea Bianchi2, Davide Gadda2, Giorgio Busto2, Alessandro Fiorenza3, Tommaso Amadori3, Sara Mancini3, Vittorio Miele4, Enrico Fainardi2,5.   

Abstract

PURPOSE: To investigate the association and agreement between magnetic resonance dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI) and computed tomography perfusion (CTP) in determining vascularity and permeability of primary and secondary brain tumors.
MATERIAL AND METHODS: DSC-PWI and CTP studies from 97 patients with high-grade glioma, low-grade glioma and solitary brain metastasis were retrospectively reviewed. Normalized cerebral blood flow (nCBF), cerebral blood volume (nCBV), capillary transfer constant (nK2) and permeability surface area product (nPS) values were obtained. Variables among groups were compared, and correlation and agreement between DSC-PWI and CTP were tested.
RESULTS: All DSC-PWI and CTP parameters were higher in high-grade than in low-grade gliomas (p < 0.01 and p < 0.001). Metastases had greater DSC-PWI nCBV (p < 0.05), nCTP-CBF (p < 0.05), nCTP-CBV (p < 0.01) and nCTP-PS (p < 0.0001) than low-grade gliomas and more elevated nCTP-PS (p < 0.01) than high-grade gliomas. The correlation was strong between DSC-PWI nCBF and CTP nCBF (r = 0.79; p < 0.00001) and between DSC-PWI nCBV and CTP nCBV (r = 0.83; p < 0.00001), weaker between DSC-PWI nK2 and CTP nPS (r = 0.29; p < 0.01). Bland-Altman plots indicated that the agreement was strong between DSC-PWI nCBF and CTP nCBF, good between DSC-PWI nCBV and CTP nCBV and poorer between DSC-PWI nK2 and CTP nPS.
CONCLUSION: DSC-PWI and CTP CBF and CBV maps were comparable and interchangeable in the assessment of tumor vascularity, unlike DSC-PWI K2 and CTP PS maps that were more discordant in the analysis of tumor permeability. CTP could be an alternative method to quantify tumor neoangiogenesis when MRI is not available or when the patient does not tolerate it.
© 2022. Italian Society of Medical Radiology.

Entities:  

Keywords:  Agreement; Brain tumors; Computed tomography perfusion; Magnetic resonance perfusion-weighted Imaging

Mesh:

Substances:

Year:  2022        PMID: 35441970     DOI: 10.1007/s11547-022-01470-z

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   6.313


  35 in total

Review 1.  Imaging of brain tumors: perfusion/permeability.

Authors:  Gerard Thompson; Samantha Jane Mills; Stavros Michael Stivaros; Alan Jackson
Journal:  Neuroimaging Clin N Am       Date:  2010-08       Impact factor: 2.264

Review 2.  Dynamic perfusion CT in brain tumors.

Authors:  Timothy Pok Chi Yeung; Glenn Bauman; Slav Yartsev; Enrico Fainardi; David Macdonald; Ting-Yim Lee
Journal:  Eur J Radiol       Date:  2015-02-23       Impact factor: 3.528

Review 3.  Perfusion Imaging in Neuro-Oncology: Basic Techniques and Clinical Applications.

Authors:  Brent Griffith; Rajan Jain
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-11       Impact factor: 2.266

Review 4.  Perfusion CT imaging of brain tumors: an overview.

Authors:  R Jain
Journal:  AJNR Am J Neuroradiol       Date:  2010-11-04       Impact factor: 3.825

5.  Does MR perfusion imaging impact management decisions for patients with brain tumors? A prospective study.

Authors:  C P Geer; J Simonds; A Anvery; M Y Chen; J H Burdette; M E Zapadka; T L Ellis; S B Tatter; G J Lesser; M D Chan; K P McMullen; A J Johnson
Journal:  AJNR Am J Neuroradiol       Date:  2011-11-24       Impact factor: 3.825

6.  On the Use of DSC-MRI for Measuring Vascular Permeability.

Authors:  J T Skinner; P L Moots; G D Ayers; C C Quarles
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-01       Impact factor: 3.825

7.  Relative cerebral blood volume maps corrected for contrast agent extravasation significantly correlate with glioma tumor grade, whereas uncorrected maps do not.

Authors:  J L Boxerman; K M Schmainda; R M Weisskoff
Journal:  AJNR Am J Neuroradiol       Date:  2006-04       Impact factor: 3.825

8.  Potential role of CT perfusion parameters in the identification of solitary intra-axial brain tumor grading.

Authors:  Enrico Fainardi; Francesco Di Biase; Massimo Borrelli; Andrea Saletti; Michele Cavallo; Silvio Sarubbo; Stefano Ceruti; Riccardo Tamarozzi; Arturo Chieregato
Journal:  Acta Neurochir Suppl       Date:  2010

9.  Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas.

Authors:  Jerrold L Boxerman; Chad C Quarles; Leland S Hu; Bradley J Erickson; Elizabeth R Gerstner; Marion Smits; Timothy J Kaufmann; Daniel P Barboriak; Raymond H Huang; Wolfgang Wick; Michael Weller; Evanthia Galanis; Jayashree Kalpathy-Cramer; Lalitha Shankar; Paula Jacobs; Caroline Chung; Martin J van den Bent; Susan Chang; W K Al Yung; Timothy F Cloughesy; Patrick Y Wen; Mark R Gilbert; Bruce R Rosen; Benjamin M Ellingson; Kathleen M Schmainda
Journal:  Neuro Oncol       Date:  2020-09-29       Impact factor: 12.300

Review 10.  Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images.

Authors:  Armin Eilaghi; Timothy Yeung; Christopher d'Esterre; Glenn Bauman; Slav Yartsev; Jay Easaw; Enrico Fainardi; Ting-Yim Lee; Richard Frayne
Journal:  Biomark Cancer       Date:  2016-07-03
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