TY  - JOUR
AU  - Werner, Jan-Michael
AU  - Stoffels, Gabriele
AU  - Lichtenstein, Thorsten
AU  - Borggrefe, Jan
AU  - Lohmann, Philipp
AU  - Ceccon, Garry
AU  - Shah, Nadim J.
AU  - Fink, Gereon R.
AU  - Langen, Karl-Josef
AU  - Kabbasch, Christoph
AU  - Galldiks, Norbert
TI  - Differentiation of treatment-related changes from tumour progression: a direct comparison between dynamic FET PET and ADC values obtained from DWI MRI
JO  - European journal of nuclear medicine and molecular imaging
VL  - 46
IS  - 9
SN  - 1619-7089
CY  - Heidelberg [u.a.]
PB  - Springer-Verl.
M1  - FZJ-2019-03621
SP  - 1889-1901
PY  - 2019
AB  - BackgroundFollowing brain cancer treatment, the capacity of anatomical MRI to differentiate neoplastic tissue from treatment-related changes (e.g., pseudoprogression) is limited. This study compared apparent diffusion coefficients (ADC) obtained by diffusion-weighted MRI (DWI) with static and dynamic parameters of O-(2-[18F]fluoroethyl)-L-tyrosine (FET) PET for the differentiation of treatment-related changes from tumour progression.Patients and methodsForty-eight pretreated high-grade glioma patients with anatomical MRI findings suspicious for progression (median time elapsed since last treatment was 16 weeks) were investigated using DWI and dynamic FET PET. Maximum and mean tumour-to-brain ratios (TBRmax, TBRmean) as well as dynamic parameters (time-to-peak and slope values) of FET uptake were calculated. For mean ADC calculation, regions-of-interest analyses were performed on ADC maps calculated from DWI coregistered with the contrast-enhanced MR image. Diagnoses were confirmed neuropathologically (21%) or clinicoradiologically. Diagnostic performance was evaluated using receiver-operating-characteristic analyses or Fisher’s exact test for a combinational approach.ResultsTen of 48 patients had treatment-related changes (21%). The diagnostic performance of FET PET was significantly higher (threshold for both TBRmax and TBRmean, 1.95; accuracy, 83%; AUC, 0.89 ± 0.05; P < 0.001) than that of ADC values (threshold ADC, 1.09 × 10−3 mm2/s; accuracy, 69%; AUC, 0.73 ± 0.09; P = 0.13). The addition of static FET PET parameters to ADC values increased the latter’s accuracy to 89%. The highest accuracy was achieved by combining static and dynamic FET PET parameters (93%). Moreover, in contrast to ADC values, TBRs <1.95 at suspected progression predicted a significantly longer survival (P = 0.01).ConclusionsData suggest that static and dynamic FET PET provide valuable information concerning the differentiation of early treatment-related changes from tumour progression and outperform ADC measurement for this highly relevant clinical question.
LB  - PUB:(DE-HGF)16
C6  - pmid:31203420
UR  - <Go to ISI:>//WOS:000475673300015
DO  - DOI:10.1007/s00259-019-04384-7
UR  - https://juser.fz-juelich.de/record/863609
ER  -