Quantitative Computerized Assessment of the Degree of Acetabular Bone Deficiency: Total radial Acetabular Bone Loss (TrABL)

Gelaude, Frederik; Clijmans, Tim; Delport, Hendrik

doi:10.4061/2011/494382

Cited by 28 publications

(30 citation statements)

References 29 publications

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“…The presented method has some limitations. First, the presence of metal implants lead to artifacts in the images which are caused by a combination of beam hardening, photon starvation, scatter, and edge effects . These artefacts may have detrimental effects on segmentation accuracy and demanded a manual segmentation under supervision of an experienced radiologist.…”

Section: Discussionmentioning

confidence: 99%

“…First, the presence of metal implants lead to artifacts in the images which are caused by a combination of beam hardening, photon starvation, scatter, and edge effects. 21,29,30 These artefacts may have detrimental effects on segmentation accuracy and demanded a manual segmentation under supervision of an experienced radiologist. The second limitation is the focus on quantitative measure of volume, whereby other important parameters yet remain unconsidered in the analysis.…”

Section: Discussionmentioning

confidence: 99%

“…The defined sectors were cranial roof, anterior column, posterior column, and medial wall (Fig. A), which were inspired by previous studies . In order to consider patient‐specific anatomy, the sectors were constructed on the acetabular plane, aligned to the patient coordinate system, and scaled in relation to the acetabulum diameter (Fig.…”

Section: Methodsmentioning

confidence: 99%

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Method for quantitative assessment of acetabular bone defects

Hettich¹,

Schierjott

Ramm³

et al. 2018

Journal Orthopaedic Research

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The objective of the study was to suggest a novel quantitative assessment of acetabular bone defects based on a statistical shape model, validate the method, and present preliminary results. Two exemplary CT‐data sets with acetabular bone defects were segmented to obtain a solid model of each defect pelvis . The pathological areas around the acetabulum were excluded and a statistical shape model was fitted to the remaining healthy bone structures. The excluded areas were extrapolated such that a solid model of the native pelvis per specimen resulted (i.e., each pelvis without defect). The validity of the reconstruction was tested by a leave‐one‐out study. Validation results showed median reconstruction errors of 3.0 mm for center of rotation, 1.7 mm for acetabulum diameter, 2.1° for inclination, 2.5° for anteversion, and 3.3 mm 3 for bone volume around the acetabulum. By applying Boolean operations on the solid models of defect and native pelvis , bone loss and bone formation in four different sectors were assessed. For both analyzed specimens, bone loss and bone formation per sector were calculated and were consistent with the visual impression. In specimen_1 bone loss was predominant in the medial wall (10.8 ml; 79%), in specimen_2 in the posterior column (15.6 ml; 46%). This study showed the feasibility of a quantitative assessment of acetabular bone defects using a statistical shape model‐based reconstruction method. Validation results showed acceptable reconstruction accuracy, also when less healthy bone remains. The method could potentially be used for implant development, pre‐clinical testing, pre‐operative planning, and intra‐operative navigation. © 2018 The Authors. Journal of Orthopaedic Research ® Published by Wiley Periodicals, Inc. on behalf of Orthopaedic Research Society. J Orthop Res 9999:1–9, 2018.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Method for quantitative assessment of acetabular bone defects

Hettich¹,

Schierjott

Ramm³

et al. 2018

Journal Orthopaedic Research

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“…By using advanced threedimensional (3D) CT-based processing and 3D anatomical reconstruction, the degree of bone loss and the quality of the remaining acetabular bone could both be assessed. 7 This information was used to design a porous-coated augment and cage. These can either be made as a monobloc component or in two parts as a modular construct.…”

Section: Methodsmentioning

confidence: 99%

The accuracy of positioning of a custom-made implant within a large acetabular defect at revision arthroplasty of the hip

Baauw

et al. 2015

The Bone & Joint Journal

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We evaluated the accuracy with which a custom-made acetabular component could be positioned at revision arthroplasty of the hip in patients with a Paprosky type 3 acetabular defect. A total of 16 patients with a Paprosky type 3 defect underwent revision surgery using a custom-made trabecular titanium implant. There were four men and 12 women with a median age of 67 years (48 to 79). The planned inclination (INCL), anteversion (AV), rotation and centre of rotation (COR) of the implant were compared with the post-operative position using CT scans. A total of seven implants were malpositioned in one or more parameters: one with respect to INCL, three with respect to AV, four with respect to rotation and five with respect to the COR. To the best of our knowledge, this is the first study in which CT data acquired for the pre-operative planning of a custom-made revision acetabular implant have been compared with CT data on the post-operative position. The results are encouraging.

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“…Surgical planning software for example, taking into account the patient's anatomy through the use of medical images, allows to carefully plan a surgery beforehand, to make sure that the identified strategy is executable (in terms of access to the sites, mechanical properties of available bone grafts etc) [3] and to develop patient-specific surgical guides [4,5]. Another example is the design of custom made implants for patients in which standard procedures cannot be used [6].…”

Section: Introductionmentioning

confidence: 99%

Regenerative orthopaedics: in vitro, in vivo … in silico

Geris

2014

International Orthopaedics (SICOT)

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In silico, defined in analogy to in vitro and in vivo as those studies that are performed on a computer, is an essential step in problem solving and product development in classical engineering fields. The use of in silico models is now slowly easing its way into medicine. In silico models are already used in orthopaedics for the planning of complicated surgeries, personalised implant design and the analysis of gait measurements. However, these in silico models often lack the simulation of the response of the biological system over time. In silico models focusing on the response of the biological systems are in full development. This review starts with an introduction into in silico models of orthopaedic processes. Special attention is paid to the classification of models according to their spatiotemporal scale (gene/protein to population) and the information they were built on (data vs hypotheses). Subsequently, the review focusses on the in silico models used in regenerative orthopaedics research. Contributions of in silico models to an enhanced understanding and optimisation of four key elements -cells, carriers, culture and clinics -are illustrated. Finally, a number of challenges are identified, related to the computational aspects but also to the integration of in silico tools in clinical practice.

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Quantitative Computerized Assessment of the Degree of Acetabular Bone Deficiency: Total radial Acetabular Bone Loss (TrABL)

Cited by 28 publications

References 29 publications

Method for quantitative assessment of acetabular bone defects

Method for quantitative assessment of acetabular bone defects

The accuracy of positioning of a custom-made implant within a large acetabular defect at revision arthroplasty of the hip

Regenerative orthopaedics: in vitro, in vivo … in silico

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