naa a22 4500 510747116 CHVBK 20180411083050.0 cr unu---uuuuu 180411e20130201xx s 000 0 eng 10.1007/s11547-012-0801-5 doi (NATIONALLICENCE)springer-10.1007/s11547-012-0801-5 Comparison between CT and MR in perfusion imaging assessment of high-grade gliomas [Elektronische Daten] [M. De Simone, C. Muccio, S. Pagnotta, G. Esposito, A. Cianfoni] Confronto tra studio di perfusione con metodica RM e con metodica TC nei gliomi cerebrali di alto grado Purpose: The aim of our study was to compare the relative cerebral blood volume (CBV) values obtained by first-pass dynamic susceptibility-weighted contrast-enhanced (DSC) T2-weighted magnetic resonance (MR) and perfusion computed tomography (P-CT) imaging in high-grade gliomas (HGG) in the same patient population. Materials and methods: Sixteen patients with histologically proven HGG underwent P-CT and DSC-MR brain imaging. P-CT studies were obtained using a four-row multislice CT scanner and postprocessed with a commercial software package based on a deconvolution-based technique. DSC-MR images were obtained at 1.5 T with a first-pass dynamic susceptibility contrast-enhanced T2-weighted sequence. P-CT and DSC-MR images were obtained within 4 days of each another, always before surgery. Maximum CBV ratios normalised with contralateral white matter (rCBV) were calculated. Statistical analysis was performed with the classical parametric statistic procedure. Results: A linear correlation between maximum rCBV values obtained with P-CT and DSC-MR imaging was evident. The best linear model is CT=slope×MR+error and provides a highly significant estimate of the slope equal to 1.08. Thus CT results can be predicted from MR values. Therefore, it is also possible to predict MR results from CT values by estimating the linear model MR=slope×CT+error. DSC-MR imaging gave lower rCBV average values (4.92±1.52) compared with P-CT (5.56±1.55). Conclusions: In our population of patients, P-CT and DSC-MR imaging showed proportional results in rCBV assessment of HGGs, and thus both modalities may be used interchangeably in HGG of the brain. Springer-Verlag Italia, 2012 Dynamic-susceptibility contrast-enhanced MR imaging nationallicence Perfusion CT nationallicence High grade glioma nationallicence T1 effect nationallicence Dynamic susceptibility contrast enhanced MR imaging nationallicence TC perfusione nationallicence Gliomi di alto grado nationallicence Effetto T1 nationallicence De Simone M. UOC Neuroradiologia, Dipartimento di Neuroscienze, AORN "G. Rummo”, Via dell'Angelo 1, 82100, Benevento, Italy aut Muccio C. UOC Neuroradiologia, Dipartimento di Neuroscienze, AORN "G. Rummo”, Via dell'Angelo 1, 82100, Benevento, Italy aut Pagnotta S. Dipartimento di Statistica, Università degli Studi del Sannio, Benevento, Italy aut Esposito G. UOC Neuroradiologia, Dipartimento di Neuroscienze, AORN "G. Rummo”, Via dell'Angelo 1, 82100, Benevento, Italy aut Cianfoni A. Radiology Department, Medical University South Carolina (MUSC), Charleston, SC, USA aut La radiologia medica Springer Milan 118/1(2013-02-01), 140-151 0033-8362 118:1<140 2013 118 11547 https://doi.org/10.1007/s11547-012-0801-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11547-012-0801-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- De Simone M. UOC Neuroradiologia, Dipartimento di Neuroscienze, AORN "G. Rummo”, Via dell'Angelo 1, 82100, Benevento, Italy aut NATIONALLICENCE 700 1- Muccio C. UOC Neuroradiologia, Dipartimento di Neuroscienze, AORN "G. Rummo”, Via dell'Angelo 1, 82100, Benevento, Italy aut NATIONALLICENCE 700 1- Pagnotta S. Dipartimento di Statistica, Università degli Studi del Sannio, Benevento, Italy aut NATIONALLICENCE 700 1- Esposito G. UOC Neuroradiologia, Dipartimento di Neuroscienze, AORN "G. Rummo”, Via dell'Angelo 1, 82100, Benevento, Italy aut NATIONALLICENCE 700 1- Cianfoni A. Radiology Department, Medical University South Carolina (MUSC), Charleston, SC, USA aut NATIONALLICENCE 773 0- La radiologia medica Springer Milan 118/1(2013-02-01), 140-151 0033-8362 118:1<140 2013 118 11547 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer