| Literature DB >> 36064994 |
Sachiyuki Tsukada1, Hiroyuki Ogawa2, Kenji Kurosaka1, Masayoshi Saito1, Masahiro Nishino1, Naoyuki Hirasawa1.
Abstract
PURPOSE: To illustrate a surgical technique for augmented reality (AR)-assisted unicompartmental knee arthroplasty (UKA) and report preliminary data.Entities:
Keywords: Augmented reality; Computer-assisted surgery; Knee; Smartphone; Virtual reality
Year: 2022 PMID: 36064994 PMCID: PMC9445111 DOI: 10.1186/s40634-022-00525-4
Source DB: PubMed Journal: J Exp Orthop ISSN: 2197-1153
Fig. 1AR-based portable navigation system enables the surgeon to see the tibial mechanical axis in the surgical field through the smartphone (green line indicated by red arrow). On the smartphone display, the color of the marker turns blue after the smartphone camera recognized the QR code. The extramedullary tibial cutting guide carries two markers with QR codes
Fig. 2The surgeon aligns the cutting block of the proximal tibia while viewing the varus/valgus alignment, posterior slope, and medial resection depth on the smartphone display. Based on preoperative planning, the surgeon set the cutting block on the varus angle of 0.1°, posterior slope of 6.6°, and medial depth of 5 mm (red arrow). First, one fixation pin (white arrow) is inserted parallel to the anteroposterior axis to fix the extramedullary guide. Second, another pin (white arrowhead) is inserted to fix the cutting block. Note that no extra pins are required to attach the sensor of the AR-based navigation system compared with standard extramedullary guide and cutting block
Fig. 3Registration of the medial malleolus using a pointer marked with a QR code (red arrow). Note that the AR-based portable navigation system works if the smartphone recognizes only one of the two QR codes
Fig. 4Awareness of inappropriate registration. As the AR-based navigation system can visualize the registration point, the surgeon can easily recognize which point is inappropriate. The registration point of medial malleolus floats on the patient’s leg in this patient (red arrow)
Fig. 5Verification of tibial bone cutting. The AR-based navigation system allows the surgeon to confirm the actual cutting angle and depth of resection
Patient characteristics and results of radiographic measurement
| Patient | Side | Sex | Age, year | Height, cm | Weight, kg | BMI, kg/m2 | Diagnosis | Preoperative tibial varus angle, ° | Target varus angle, ° | Postoperative varus angle, ° | Preoperative posterior slope angle, ° | Target posterior slope, ° | Postoperative posterior slope angle, ° |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Right | Male | 79 | 168 | 70.4 | 25.0 | OA | 8 | 2 | 3.4 | 4 | 4 | 5.3 |
| 2 | Left | Male | 79 | 168 | 70.4 | 25.0 | OA | 6 | 2 | 2.0 | 2 | 2 | 3.3 |
| 3 | Left | Male | 72 | 163 | 68.9 | 25.9 | OA | 4 | 0 | 3.3 | 5 | 5 | 1.6 |
| 4 | Right | Male | 77 | 156 | 55.9 | 22.9 | AVN | 5 | 0 | 3.9 | 10 | 7 | 1.8 |
| 5 | Right | Female | 82 | 149 | 53.0 | 24.0 | AVN | 3 | 0 | 1.3 | 7 | 6 | 8.8 |
| 6 | Right | Female | 81 | 150 | 57.0 | 25.3 | OA | 4 | 0 | 1.4 | 13 | 7 | 5.0 |
| 7 | Right | Female | 86 | 157 | 52.8 | 21.5 | OA | 3 | 0 | 2.4 | 8 | 6 | 2.6 |
| 8 | Right | Male | 87 | 159 | 67.0 | 26.7 | OA | 4 | 0 | 4.7 | 7 | 6 | 3.3 |
| 9 | Right | Female | 83 | 142 | 52.0 | 25.8 | OA | 5 | 0 | 0.8 | 5 | 5 | 6.8 |
| 10 | Left | Female | 83 | 142 | 52.0 | 25.8 | OA | 7 | 2 | 3.3 | 7 | 5 | 6.7 |
| 11 | Left | Female | 84 | 151 | 50.4 | 22.1 | OA | 6 | 2 | 2.4 | 6 | 5 | 8.0 |
AVN Avascular necrosis, BMI Body mass index, OA Osteoarthritis
Studies on the use of AR technology in knee arthroplasty
| Reference | Procedure | Characteristics of the AR technology-assisted system | Required preoperative imaging study | Radiographic outcomes |
|---|---|---|---|---|
| Pokhrel, et al. [ | TKA | Superimposing the image of the remaining area of bone to resect onto the actually resected bone surface in the surgical field | Computed tomography scan of the knee | No radiographic data available |
| Tsukada, et al. [ | TKA | Superimposing the tibial mechanical axis and rotational axis onto the patient's limb in the surgical field and showing the resecting angles and depth in real time | Nothing | Cutting error of proximal tibia was less than 1° in both coronal and sagittal planes and less than 2° in rotational alignment |
| Iacono, et al. [ | TKA | Superimposing the tibial and femoral mechanical axes onto the patient's limb in the surgical field and showing the resecting angles in real time | Nothing | Cutting error of both proximal tibia and distal femur was less than 1° in coronal plane and less than 2° in sagittal plane, respectively |
| Tsukada, et al. [ | TKA | Superimposing the femoral mechanical axis and location of the femoral head center onto the patient's limb in the surgical field and showing the resecting angles in real time | Nothing | Cutting error of distal femur using AR technology was significantly smaller than that using conventional intramedullary rod technique |
| Fucentese, et al. [ | TKA | Showing the bone resecting angles and the lengths of the medial collateral ligament and lateral collateral ligament in real time | Computed tomography scans of the hip, knee and ankle | No radiographic data available |
| Current study | UKA | Superimposing the tibial mechanical axis and rotational axis onto the patient's limb in the surgical field and showing the resecting angles and depth in real time | Nothing | Cutting error of proximal tibia was less than 2° in coronal plane and less than 3° in sagittal plane, respectively |
AR Augmented reality, TKA Total knee arthroplasty, UKA Unicompartmental knee arthroplasty