Development of a Statistical Shape Model and Assessment of Anatomical Shape Variations in the Hemipelvis
Knowledge about anatomical shape variations in the pelvis is mandatory for selection, fitting, positioning, and fixation in pelvic surgery. The current knowledge on pelvic shape variation mostly relies on point-to-point measurements on 2D X-ray images and computed tomography (CT) slices. Three-dimen...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Journal of Clinical Medicine |
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| Online Access: | https://www.mdpi.com/2077-0383/12/11/3767 |
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| author | Willemina A. van Veldhuizen Hylke van der Wel Hennie Y. Kuipers Joep Kraeima Kaj ten Duis Jelmer M. Wolterink Jean-Paul P. M. de Vries Richte C. L. Schuurmann Frank F. A. IJpma |
| author_facet | Willemina A. van Veldhuizen Hylke van der Wel Hennie Y. Kuipers Joep Kraeima Kaj ten Duis Jelmer M. Wolterink Jean-Paul P. M. de Vries Richte C. L. Schuurmann Frank F. A. IJpma |
| author_sort | Willemina A. van Veldhuizen |
| collection | DOAJ |
| description | Knowledge about anatomical shape variations in the pelvis is mandatory for selection, fitting, positioning, and fixation in pelvic surgery. The current knowledge on pelvic shape variation mostly relies on point-to-point measurements on 2D X-ray images and computed tomography (CT) slices. Three-dimensional region-specific assessments of pelvic morphology are scarce. Our aim was to develop a statistical shape model of the hemipelvis to assess anatomical shape variations in the hemipelvis. CT scans of 200 patients (100 male and 100 female) were used to obtain segmentations. An iterative closest point algorithm was performed to register these 3D segmentations, so a principal component analysis (PCA) could be performed, and a statistical shape model (SSM) of the hemipelvis was developed. The first 15 principal components (PCs) described 90% of the total shape variation, and the reconstruction ability of this SSM resulted in a root mean square error of 1.58 (95% CI: 1.53–1.63) mm. In summary, an SSM of the hemipelvis was developed, which describes the shape variations in a Caucasian population and is able to reconstruct an aberrant hemipelvis. Principal component analyses demonstrated that, in a general population, anatomical shape variations were mostly related to differences in the size of the pelvis (e.g., PC1 describes 68% of the total shape variation, which is attributed to size). Differences between the male and female pelvis were most pronounced in the iliac wing and pubic rami regions. These regions are often subject to injuries. Future clinical applications of our newly developed SSM may be relevant for SSM-based semi-automatic virtual reconstruction of a fractured hemipelvis as part of preoperative planning. Lastly, for companies, using our SSM might be interesting in order to assess which sizes of pelvic implants should be produced to provide proper-fitting implants for most of the population. |
| first_indexed | 2024-03-11T03:04:08Z |
| format | Article |
| id | doaj.art-e81d8540cf594813a3af476f83e3cf48 |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-11T03:04:08Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-e81d8540cf594813a3af476f83e3cf482023-11-18T08:06:10ZengMDPI AGJournal of Clinical Medicine2077-03832023-05-011211376710.3390/jcm12113767Development of a Statistical Shape Model and Assessment of Anatomical Shape Variations in the HemipelvisWillemina A. van Veldhuizen0Hylke van der Wel1Hennie Y. Kuipers2Joep Kraeima3Kaj ten Duis4Jelmer M. Wolterink5Jean-Paul P. M. de Vries6Richte C. L. Schuurmann7Frank F. A. IJpma8Department of Surgery, University Medical Center Groningen, 9713 GZ Groningen, The NetherlandsDepartment of Oral and Maxillofacial Surgery/3D Lab, University Medical Center Groningen, 9713 GZ Groningen, The NetherlandsDepartment of Surgery, University Medical Center Groningen, 9713 GZ Groningen, The NetherlandsDepartment of Oral and Maxillofacial Surgery/3D Lab, University Medical Center Groningen, 9713 GZ Groningen, The NetherlandsDepartment of Surgery, University Medical Center Groningen, 9713 GZ Groningen, The NetherlandsDepartment of Applied Mathematics, Technical Medical Centre, 7500 AE Enschede, The NetherlandsDepartment of Surgery, University Medical Center Groningen, 9713 GZ Groningen, The NetherlandsDepartment of Surgery, University Medical Center Groningen, 9713 GZ Groningen, The NetherlandsDepartment of Surgery, University Medical Center Groningen, 9713 GZ Groningen, The NetherlandsKnowledge about anatomical shape variations in the pelvis is mandatory for selection, fitting, positioning, and fixation in pelvic surgery. The current knowledge on pelvic shape variation mostly relies on point-to-point measurements on 2D X-ray images and computed tomography (CT) slices. Three-dimensional region-specific assessments of pelvic morphology are scarce. Our aim was to develop a statistical shape model of the hemipelvis to assess anatomical shape variations in the hemipelvis. CT scans of 200 patients (100 male and 100 female) were used to obtain segmentations. An iterative closest point algorithm was performed to register these 3D segmentations, so a principal component analysis (PCA) could be performed, and a statistical shape model (SSM) of the hemipelvis was developed. The first 15 principal components (PCs) described 90% of the total shape variation, and the reconstruction ability of this SSM resulted in a root mean square error of 1.58 (95% CI: 1.53–1.63) mm. In summary, an SSM of the hemipelvis was developed, which describes the shape variations in a Caucasian population and is able to reconstruct an aberrant hemipelvis. Principal component analyses demonstrated that, in a general population, anatomical shape variations were mostly related to differences in the size of the pelvis (e.g., PC1 describes 68% of the total shape variation, which is attributed to size). Differences between the male and female pelvis were most pronounced in the iliac wing and pubic rami regions. These regions are often subject to injuries. Future clinical applications of our newly developed SSM may be relevant for SSM-based semi-automatic virtual reconstruction of a fractured hemipelvis as part of preoperative planning. Lastly, for companies, using our SSM might be interesting in order to assess which sizes of pelvic implants should be produced to provide proper-fitting implants for most of the population.https://www.mdpi.com/2077-0383/12/11/3767pelvispelvic fracturestatistical shape modelingprincipal component analysisosteosynthesis3D geometrical model |
| spellingShingle | Willemina A. van Veldhuizen Hylke van der Wel Hennie Y. Kuipers Joep Kraeima Kaj ten Duis Jelmer M. Wolterink Jean-Paul P. M. de Vries Richte C. L. Schuurmann Frank F. A. IJpma Development of a Statistical Shape Model and Assessment of Anatomical Shape Variations in the Hemipelvis Journal of Clinical Medicine pelvis pelvic fracture statistical shape modeling principal component analysis osteosynthesis 3D geometrical model |
| title | Development of a Statistical Shape Model and Assessment of Anatomical Shape Variations in the Hemipelvis |
| title_full | Development of a Statistical Shape Model and Assessment of Anatomical Shape Variations in the Hemipelvis |
| title_fullStr | Development of a Statistical Shape Model and Assessment of Anatomical Shape Variations in the Hemipelvis |
| title_full_unstemmed | Development of a Statistical Shape Model and Assessment of Anatomical Shape Variations in the Hemipelvis |
| title_short | Development of a Statistical Shape Model and Assessment of Anatomical Shape Variations in the Hemipelvis |
| title_sort | development of a statistical shape model and assessment of anatomical shape variations in the hemipelvis |
| topic | pelvis pelvic fracture statistical shape modeling principal component analysis osteosynthesis 3D geometrical model |
| url | https://www.mdpi.com/2077-0383/12/11/3767 |
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