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Orthopaedic Proceedings
Vol. 99-B, Issue SUPP_20 | Pages 35 - 35
1 Dec 2017
Bosma S Jutte P Wong K Paul L Gerbers J
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Computer Assisted Surgery (CAS) and Patient Specific Instrumentation (PSI) have been reported to increase accuracy and predictability of tumour resections. The technically demanding joint-preserving surgery that retains the native joint with the better function may benefit from the new techniques. This cadaver study is to investigate the surgical accuracy of CAS and PSI in joint-preserving surgery of knee joint.

CT scans of four cadavers were performed and imported into an engineering software (MIMICS, Materialise) for the 3D surgical planning of simulated, multiplanar joint-preserving resections for distal femur or proximal tibia metaphyseal bone sarcoma. The planned resections were transferred to the navigation system (OrthoMap 3D, Stryker) for navigation planning and used for the design and fabrication of the PSI. Each of the four techniques (freehand, CAS, PSI and CAS + PSI) was used in four joint-preserving resections. Location accuracy (the maximum deviation of distance between the planned and the achieved resections) and bone resection time were measured. The results were compared by using t-test (statistically significant if P< 0.05).

Both the CAS+PSI and PSI techniques could reproduce the planned resections with a mean location accuracy of < 2 mm, compared to 3.6 mm for CAS assistance and 9.2 mm for the freehand technique. There was no statistical difference in location accuracy between the CAS+PSI and the PSI techniques (p=0.92) but a significant difference between the CAS technique and the CAS+PSI (p=0.042) or PSI technique (p=0.034) and the freehand technique with the other assisted techniques. The PSI technique took the lowest mean time of 4.78 ±0.97min for bone resections. This was significantly different from the CAS+PSI technique (mean 12.78 min; p < 0.001) and the CAS technique (mean 16.97 min; p = < 0.001).

CAS and PSI assisted techniques help reproduce the planned multiplanar resections. The PSI technique could achieve the most accurate bone resections (within 2mm error) with the least time for bone resections. Combining CAS with PSI might not improve surgical accuracy and might increase bone resection time. However, PSI placement on the bone surface depends only on the subjective feeling of surgeons and may not apply if the extraosseous tumor component is large. Combining CAS with PSI could address the limitations.


Orthopaedic Proceedings
Vol. 96-B, Issue SUPP_16 | Pages 48 - 48
1 Oct 2014
Ren H Wong K Feng C Yang Z
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In orthopedic surgeries, it is critical to reduce the risks of drilling complications during bone fracture fixation, especially around critical organs such as in acetabula-pelvic procedures. Either over-drilling or x-ray overuse shall be avoided to reduce potential complications to the surrounding critical organs or tissues. Toward recognising perforation process during bong drilling, we employed drilling vibration signal analysis based on the measurements from miniature inertial sensors. Time-frequency analysis is used for features extractions, which show that information from drilling vibration measurements could reveal the drilling process, hence help doctors track the drilling process and avoid over-drilling.

We addressed the aforementioned challenges through inertial sensor development, vibration measurements, and time-frequency signal analysis. In the preliminary ex-vivo bone drilling experiment setup, an inertial sensor is mounted on a pig femur bone with two fixing nails and can capture 3-axes acceleration data during drilling procedures. A cordless drill is used with Kirschner wires (K-wires) and the diameter of the pin is 3.5 mm. The mounting locations of inertial sensors are close to actual drilling entries without affecting normal procedures. The recorded vibration signals indicate how the drill is interacting with surrounding bone tissues, which shall have different patterns along the deep drilling process. After normalisation, the power spectral density (PSD) is calculated to examine the frequency domain representation of the time series during drilling process. As the drilling vibration process along the bone is non-stationary, we further employ wavelet transform for more localised time-frequency analysis.

When the bone substance interacts with drill bits, compact substance and spongy substance have different bone densities and structures, thus inducing different vibration waveform patterns. In our preliminary experiments, we recorded acceleration data from the pig femur drilling process, where a surgical drill penetrates from compact substance, spongy substance and then to compact substance again. The article shows the feasibility study of estimating femur bone drilling process based on vibrations signals captured from low-cost miniature inertial sensors. Through a preliminary animal ex-vivo bone study, the proposed framework of time-frequency wavelet analysis indicates the drilling interface between compact substance and spongy substance. It shows potentials in perforation recognition along drilling process and more clinical studies will be performed for validating its capability in over-drilling avoidance.


Orthopaedic Proceedings
Vol. 94-B, Issue SUPP_XLIV | Pages 14 - 14
1 Oct 2012
Wong K Kumta S Tse L Ng W Lee K
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CT and MRI scans are complementary preoperative imaging investigations for planning complex musculoskeletal bone tumours resection and reconstruction. Conventionally, tumour surgeons analyse two-dimensional (2-D) imaging information, mentally integrate and formulate a three-dimensional (3-D) surgical plan. Difficulties are anticipated with increase in case complexity and distorted surgical anatomy. Incorporating computer technology to aid in this surgical planning and executing the intended resection may improve precision. Although computer-assisted surgery has been widely used in cranial biopsies and tumour resection, only small case series using CT-based navigation are recently reported in the field of musculoskeletal tumor surgery. We investigated the results of CT/MRI image fusion for Computer Assisted Tumor Surgery (CATS) with the help of a navigation system.

We studied 21 patients with 22 musculoskeletal tumours who underwent CATS from March 2006 to July 2009. A commercially available CT-based spine navigation system (Stryker Navigation; CT spine) was used. Of the 22 patients, 10 were males, 11 were females, and the mean age was 32 years at the time of surgery (range, 6–80 years). Five tumours were located in the pelvis, seven sacrum, eight femurs, and two tibia. The primary diagnosis was primary bone tumours in 16 (3 benign, 13 sarcoma) and metastatic carcinoma in four. The minimum follow-up was 17 months (average, 35.5 months; range, 17–52 months). Preoperative CT and MRI scan of each patient were performed. Axial CT slices of 0.0625mm or 1.25mm thickness and various sequences of MR images in Digital Imaging and Communications in Medicine (DICOM) format were obtained. CT and MR images for 22 cases were fused using the navigation software. All the reconstructed 2-D and 3-D images were used for preoperative surgical planning. The plane of tumour resection was defined and marked using multiple virtual screws sited along the margin of the planned resection. We also integrated the computer-aided design (CAD) data of custom-made prostheses in the final navigation resection planning for eight cases.

All tumour resections could be carried out as planned under navigation guidance. Navigation software enabled surgeons to examine all fused image datasets (CT/MRI scans) together in two spatial and three spatial dimensions. It allowed easier understanding of the exact anatomical tumor location and relationship with surrounding structures. Intraoperatively, image guidance with the help of fusion images, provided precise visual orientation, easy identification of tumor extent, neural structures and intended resection planes in all cases. The mean time for preoperative navigation planning was 1.85 hours (1 to 3.8). The mean time for intraoperative navigation procedures was 29.6 minutes (13 to 60). The time increased with case complexity but lessened with practice. The mean registration error was 0.47mm (0.31 to 0.8). The virtual preoperative images matched well with the patients' operative anatomy. A postoperative superficial wound infection developed in one patient with sacral chordoma that resolved with antibiotic whereas a wound infection in another with sacral osteosarcoma required surgical debridement and antibiotic. After a mean follow-up of 35.5 months (17–52 months), five patients died of distant metastases. Three out of four patients with local recurrence had tumors at sacral region. Three of them were soft tissue tumour recurrence. The mean functional MSTS score in patients with limb salvage surgery was 28.3 (23 to 30). All patients (except one) with limb sparing surgery and prosthetic reconstruction could walk without aids.

Multimodal image fusion yields hybrid images that combine the key characteristics of each image technique. Back conversion of custom prosthesis in CAD to DICOM format allowed fusion with navigation resection planning and prosthesis reconstruction in musculoskeletal tumours. CATS with image fusion offers advanced preoperative 3-D surgical planning and supports surgeons with precise intraoperative visualisation and identification of intended resection for pelvic, sacral tumors. It enables surgeons to reliably perform joint sparing intercalated tumor resection and accurately fit CAD custom-made prostheses for the resulting skeletal defect.