Image-based surgery planning

Essert, Caroline; Joskowicz, Leo

doi:10.1016/b978-0-12-816176-0.00037-5

Cited by 9 publications

(3 citation statements)

References 36 publications

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“…Digital templates were evaluated based on the image-based surgery planning (Table 2 ). 4 Traditional templates were evaluated based on the standard AO guidelines of template completeness (Table 3 ). 1 Both groups were evaluated using both scoring systems to eliminate bias.…”

Section: Methodsmentioning

confidence: 99%

Shifting to an app-based method of preoperative templating in orthopaedic surgery

Samarita,

Coruña,

Coruña

2024

OTA International

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Background: Preoperative templating plays an important part in attaining successful surgical outcomes after fracture fixation. Traditionally, surgeons have performed this task with printed radiographs, tracing paper, and colored markers. Now that digital radiography is ubiquitous, and digital templating platforms are needed but are expensive and may not be available to all surgeons, especially those in low-income and middle-income countries. In this study, we evaluate an innovative and user-friendly method using a mobile app that may facilitate the use of digital templating for all surgeons worldwide. Methods: A study involving 2 groups of residents (N = 12) was conducted. Group A (n = 6) was assigned to do conventional templating; Group B (n = 6) was assigned to perform digital templating. Each group then switched to the other templating method and the process was repeated. Conventional templates were evaluated using the Arbeitsgemeinschaft für Osteosynthesefragen-Association for the Study of Internal Fixation (AO-ASIF) guidelines of template completeness. Digital templates were assessed using Image-Based Surgery Planning. Each subject in both groups completed templates for 3 injury patterns: AO 2R2A3/2U2C2, 32B2, and 43C2. Wilcoxon signed-rank and binomial tests (5% level of significance) were used for statistical analysis. Results: Template processing, fracture classification, and plan elaboration were comparable between the traditional and digital template groups, with good interobserver and intraobserver reproducibility using the Wilcoxon signed-ranks test (all |z values| below 1.96, all P-values > 0.05). There was no significant difference in the evaluation scores for either exercise, whether doing a traditional standard template or the digital template (P value > 0.05). Conclusions: This study shows that digital templating can achieve the same goals as conventional preoperative templating for fracture fixation. With the ubiquity of digital radiography, digital templating provides an opportunity to visualize fracture configurations and create an optimum preoperative plan for fracture reconstruction using an innovative and user-friendly platform.

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Section: Methodsmentioning

confidence: 99%

Shifting to an app-based method of preoperative templating in orthopaedic surgery

Samarita,

Coruña,

Coruña

2024

OTA International

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“…The overall process of image-based surgical planning can be structured into four main components: (1) (Interactive) Visualization, (2) Modeling, (3) Analysis, and (4) Plan generation [49]. Visualization addresses intuitive ways of enriching the original image with relevant numeric and geometric information for the application [48].…”

Section: Image-based Surgical Planning In Orthopedics and Traumatologymentioning

confidence: 99%

Multi-Stage Platform for (Semi-)Automatic Planning in Reconstructive Orthopedic Surgery

et al. 2022

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Intricate lesions of the musculoskeletal system require reconstructive orthopedic surgery to restore the correct biomechanics. Careful pre-operative planning of the surgical steps on 2D image data is an essential tool to increase the precision and safety of these operations. However, the plan’s effectiveness in the intra-operative workflow is challenged by unpredictable patient and device positioning and complex registration protocols. Here, we develop and analyze a multi-stage algorithm that combines deep learning-based anatomical feature detection and geometric post-processing to enable accurate pre- and intra-operative surgery planning on 2D X-ray images. The algorithm allows granular control over each element of the planning geometry, enabling real-time adjustments directly in the operating room (OR). In the method evaluation of three ligament reconstruction tasks effect on the knee joint, we found high spatial precision in drilling point localization (ε<2.9mm) and low angulation errors for k-wire instrumentation (ε<0.75∘) on 38 diagnostic radiographs. Comparable precision was demonstrated in 15 complex intra-operative trauma cases suffering from strong implant overlap and multi-anatomy exposure. Furthermore, we found that the diverse feature detection tasks can be efficiently solved with a multi-task network topology, improving precision over the single-task case. Our platform will help overcome the limitations of current clinical practice and foster surgical plan generation and adjustment directly in the OR, ultimately motivating the development of novel 2D planning guidelines.

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“…3 Motion and mispositioning of a patient during the acquisition of digital image datasets cause deviation in the accuracy of bone reconstruction. 4 It is evident that orthopaedic surgeries are more complicated, especially in the case of comminuted acetabular bone fractures. 5 Among all other fractures, the acetabular fracture incidence factor for 1 year is about 3 per 100,000 patients in 2021, which could produce considerably low experience in the fracture reduction process.…”

Section: Introductionmentioning

confidence: 99%

Virtual registration of comminuted bone fracture and preoperative assessment of reconstructed bone model using the Procrustes algorithm based on CT dataset

Arumugam,

Ranganathan,

Narayanasamy

2024

Proc Inst Mech Eng H

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A research work was undergone in a virtual bone reduction process for reconstruction of the comminuted pelvic bone fracture using a CT scan dataset of patients. This includes segmentation, 3D model optimization and bone registration technique. The accuracy of the reconstructed bone model was validated using Finite Element Method. Analysed and applied various segmentation techniques to segregate the injured bone structure. The ICP (Iterative Closest Point), Procrustes algorithm and Canny edge detection algorithm were applied to understand the bone registration process for surgery in detail. The average RMS error, mean absolute distance, mean absolute deviation, and mean signed distance of the reconstructed bone model using proposed algorithms involving 10 patient datasets in a group were found to be 1.77, 1.48, 1.51 and −0.31 mm respectively. The calculated RMS error value proved minimal error in semi-automatic registration than other existing automatic registration techniques. Therefore, the proposed approach is suitable for virtual bone reduction for comminuted pelvic bone fracture. This method could also be implemented for various other bone fracture reconstruction requirements.

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Image-based surgery planning

Cited by 9 publications

References 36 publications

Shifting to an app-based method of preoperative templating in orthopaedic surgery

Shifting to an app-based method of preoperative templating in orthopaedic surgery

Multi-Stage Platform for (Semi-)Automatic Planning in Reconstructive Orthopedic Surgery

Virtual registration of comminuted bone fracture and preoperative assessment of reconstructed bone model using the Procrustes algorithm based on CT dataset

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