Redefining the target early during treatment. Can we visualize regional differences within the target volume using sequential diffusion weighted MRI?
OBJECTIVE
In head and neck cancer, diffusion weighted MRI (DWI) can predict response early during treatment. Treatment-induced changes and DWI-specific artifacts hinder an accurate registration between apparent diffusion coefficient (ADC) maps. The aim of the study was to develop a registration tool which calculates and visualizes regional changes in ADC.


METHODS
Twenty patients with stage IV HNC treated with primary radiotherapy received an MRI including DWI before and early during treatment. Markers were manually placed at anatomical landmarks on the different modalities at both time points. A registration method, consisting of a fully automatic rigid and nonrigid registration and two semi-automatic thin-plate spline (TPS) warps was developed and applied to the image sets. After each registration step the mean registration errors were calculated and ΔADC was compared between good and poor responders.


RESULTS
Adding the TPS warps significantly reduced the registration error (in mm, 6.3 ± 6.2 vs 3.2 ± 3.3 mm, p<0.001). After the marker based registration the median ΔADC in poor responders was significantly lower than in good responders (7% vs. 21%; p<0.001).


CONCLUSIONS
This registration method allowed for a significant reduction of the mean registration error. Furthermore the voxel-wise calculation of the ΔADC early during radiotherapy allowed for a visualization of the regional differences of ΔADC within the tumor.
Department of Radiation Oncology, Leuvens Kankerinstituut, University Hospitals Leuven, Campus Gasthuisberg, Belgium. Electronic address: lambrecht.maarten@gmail.com.
Maarten
M
Lambrecht
Department of Electrical Engineering (ESAT/PSI), KU Leuven, Belgium; iMinds - KU Leuven Future Health Department, Belgium.
Hans
H
Van Herck
Department of Radiology, University Hospitals Leuven, Campus Gasthuisberg, Belgium.
Frederik
F
De Keyzer
Department of Radiology, University Hospitals Leuven, Campus Gasthuisberg, Belgium.
Vincent
V
Vandecaveye
Department of Electrical Engineering (ESAT/PSI), KU Leuven, Belgium; iMinds - KU Leuven Future Health Department, Belgium.
Pieter
P
Slagmolen
Department of Electrical Engineering (ESAT/PSI), KU Leuven, Belgium; iMinds - KU Leuven Future Health Department, Belgium.
Paul
P
Suetens
Department of Radiology, University Hospitals Leuven, Campus Gasthuisberg, Belgium.
Robert
R
Hermans
Department of Radiation Oncology, Leuvens Kankerinstituut, University Hospitals Leuven, Campus Gasthuisberg, Belgium.
Sandra
S
Nuyts
D000328:Adult; D000368:Aged; D002294:Carcinoma, Squamous Cell / Q000473:pathology* / Q000532:radiotherapy*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D006258:Head and Neck Neoplasms / Q000473:pathology* / Q000532:radiotherapy*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D008875:Middle Aged; D009367:Neoplasm Staging; D000077195:Squamous Cell Carcinoma of Head and Neck; D014057:Tomography, X-Ray Computed / Q000379:methods
Diffusion weighted MRI; Head and neck cancer; Nonrigid registration