Quantitative evaluation of diffusion-weighted imaging techniques for the purposes of radiotherapy planning in the prostate.
OBJECTIVE
Diffusion-weighted imaging (DWI) is an important technique for the localization of prostate cancer, and its response assessment during treatment with radiotherapy (RT). However, it has known limitations in terms of distortions and artefacts using standard acquisition techniques. This study evaluates two alternative methods that offer the promise of improved image quality and the potential for more reliable and consistent diffusion data.


METHODS
Three DWI techniques were investigated; single-shot echoplanar imaging (EPI), EPI combined with reduced volume excitation (ZOOMit; Siemens Healthcare, Erlangen, Germany) and read-out segmentation with navigator-echo correction (RESOLVE; Siemens Healthcare). Daily measurements of apparent diffusion coefficient (ADC) value were made in a quality assurance phantom to assess the repeatability of each sequence. In order to evaluate the geometric integrity of these sequences, ten normal volunteers were scanned, and the prostate was contoured to compare its similarity with T2 weighted images.


RESULTS
Phantom ADC values were significantly higher using the standard EPI sequence than those of the other two sequences. Differences were also observed between sequences in terms of repeatability, with RESOLVE and EPI performing better than ZOOMit. Overall, the RESOLVE sequence provided the best agreement for the in vivo data with smaller differences in volume and higher contour similarity than T2 weighted imaging.


CONCLUSIONS
Important differences have been observed between each of the three techniques investigated with RESOLVE performing the best overall. We have adopted this sequence for routine RT simulation of prostate patients at Liverpool Cancer Therapy Centre.


CONCLUSIONS
This work will be of interest to the increasing number of centres wanting to incorporate quantitative DWI in a clinical setting.
1 Liverpool Cancer Therapy Centre and Ingham Institute, Liverpool Hospital, Sydney, NSW, Australia.
G P
GP
Liney
L
L
Holloway
T M
TM
Al Harthi
M
M
Sidhom
D
D
Moses
E
E
Juresic
R
R
Rai
D J
DJ
Manton
D038524:Diffusion Magnetic Resonance Imaging; D017352:Echo-Planar Imaging; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008297:Male; D019047:Phantoms, Imaging; D011471:Prostatic Neoplasms / Q000473:pathology* / Q000532:radiotherapy*; D011786:Quality Control; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results