Author/Authors :
Willemsen, Koen Department of Orthopedics - University Medical Center Utrech - Heidelberglaan - CX Utrecht, The Netherlands , Ketel, Mirte H. M. Department of Orthopedics - University Medical Center Utrech - Heidelberglaan - CX Utrecht, The Netherlands , Kuiper, Ruurd J. A. Department of Orthopedics - University Medical Center Utrech - Heidelberglaan - CX Utrecht, The Netherlands , van der Wal, Bart C. H. Department of Orthopedics - University Medical Center Utrech - Heidelberglaan - CX Utrecht, The Netherlands , Weinans, Harrie Department of Orthopedics - University Medical Center Utrech - Heidelberglaan - CX Utrecht, The Netherlands , Sakkers, Ralph J. B. Department of Orthopedics - University Medical Center Utrech - Heidelberglaan - CX Utrecht, The Netherlands , Florkow, Mateusz C. Department of Radiology- University Medical Center Utrecht - Utrecht, The Netherlands , Zijlstra, Frank Department of Radiology- University Medical Center Utrecht - Utrecht, The Netherlands , Seevinck, Peter R. Department of Radiology- University Medical Center Utrecht - Utrecht, The Netherlands , Pouran, Behdad MILabs B.V - Houten, The Netherlands , Beekman, Freek J. MILabs B.V - Houten, The Netherlands
Abstract :
Three-dimensional (3D)-printed saw guides are frequently used to optimize osteotomy results and are
usually designed based on computed tomography (CT), despite the radiation burden, as radiation-less alternatives
like magnetic resonance imaging (MRI) have inferior bone visualization capabilities. This study investigated the
usability of MR-based synthetic-CT (sCT), a novel radiation-less bone visualization technique for 3D planning and
design of patient-specific saw guides.
Methods: Eight human cadaveric lower arms (mean age: 78y) received MRI and CT scans as well as high-resolution
micro-CT. From the MRI scans, sCT were generated using a conditional generative adversarial network. Digital 3D
bone surface models based on the sCT and general CT were compared to the surface model from the micro-CT
that was used as ground truth for image resolution. From both the sCT and CT digital bone models saw guides
were designed and 3D-printed in nylon for one proximal and one distal bone position for each radius and ulna. Six
blinded observers placed these saw guides as accurately as possible on dissected bones. The position of each
guide was assessed by optical 3D-scanning of each bone with positioned saw guide and compared to the
preplanning. Eight placement errors were evaluated: three translational errors (along each axis), three rotational
errors (around each axis), a total translation (ΔT) and a total rotation error (ΔR).
Results: Surface models derived from micro-CT were on average smaller than sCT and CT-based models with
average differences of 0.27 ± 0.30 mm for sCT and 0.24 ± 0.12 mm for CT. No statistically significant positioning
differences on the bones were found between sCT- and CT-based saw guides for any axis specific translational or
rotational errors nor between the ΔT ( p= .284) and ΔR ( p= .216). On Bland-Altman plots, the ΔT and ΔR limits of
agreement (LoA) were within the inter-observer variability LoA.
Conclusions: This research showed a similar error for sCT and CT digital surface models when comparing to
ground truth micro-CT models. Additionally, the saw guide study showed equivalent CT- and sCT-based saw guide
placement errors. Therefore, MRI-based synthetic CT is a promising radiation-less alternative to CT for the creation
of patient-specific osteotomy surgical saw guides.
Keywords :
3D-printed , saw guides , lower arm osteotomy , comparison , synthetic CT , CT-based workflow