TY - JOUR
AU - Tavakoli, Anoshirwan Andrej
AU - Kuder, Tristan Anselm
AU - Tichy, Diana
AU - Radtke, Jan Philipp
AU - Görtz, Magdalena
AU - Schütz, Viktoria
AU - Stenzinger, Albrecht
AU - Hohenfellner, Markus
AU - Schlemmer, Heinz-Peter
AU - Bonekamp, David
TI - Measured Multipoint Ultra-High b-Value Diffusion MRI in the Assessment of MRI-Detected Prostate Lesions.
JO - Investigative radiology
VL - 56
IS - 2
SN - 0020-9996
CY - [s.l.]
PB - Ovid
M1 - DKFZ-2020-01901
SP - 94-102
PY - 2021
N1 - #EA:E010#LA:E010#2021 Feb 1;56(2):94-102
AB - The aim of this study was to assess quantitative ultra-high b-value (UHB) diffusion magnetic resonance imaging (MRI)-derived parameters in comparison to standard clinical apparent diffusion coefficient (SD-ADC-2b-1000, SD-ADC-2b-1500) for the prediction of clinically significant prostate cancer, defined as Gleason Grade Group greater than or equal to 2.Seventy-three patients who underwent 3-T prostate MRI with diffusion-weighted imaging acquired at b = 50/500/1000/1500s/mm and b = 100/500/1000/1500/2250/3000/4000 s/mm were included. Magnetic resonance lesions were segmented manually on individual sequences, then matched to targeted transrectal ultrasonography/MRI fusion biopsies. Monoexponential 2-point and multipoint fits of standard diffusion and of UHB diffusion were calculated with incremental b-values. Furthermore, a kurtosis fit with parameters Dapp and Kapp with incremental b-values was obtained. Each parameter was examined for prediction of clinically significant prostate cancer using bootstrapped receiver operating characteristics and decision curve analysis. Parameter models were compared using Vuong test.Fifty of 73 men (age, 66 years [interquartile range, 61-72]; prostate-specific antigen, 6.6 ng/mL [interquartile range, 5-9.7]) had 64 MRI-detected lesions. The performance of SD-ADC-2b-1000 (area under the curve, 0.82) and SD-ADC-2b-1500 (area under the curve, 0.82) was not statistically different (P = 0.99), with SD-ADC-2b-1500 selected as reference. Compared with the reference model, none of the 19 tested logistic regression parameter models including multipoint and 2-point UHB-ADC, Dapp, and Kapp with incremental b-values of up to 4000 s/mm outperformed SD-ADC-2b-1500 (all P's > 0.05). Decision curve analysis confirmed these results indicating no higher net benefit for UHB parameters in comparison to SD-ADC-2b-1500 in the clinically important range from 3
LB - PUB:(DE-HGF)16
C6 - pmid:32930560
DO - DOI:10.1097/RLI.0000000000000712
UR - https://inrepo02.dkfz.de/record/163204
ER -