A CT based 3D Algorithm for Diagnosis of DDH and Quantification of Surgical Correction Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.29011/2575-8241.001321
Introduction: Conventional radiographs are not doing justice to the complexity of 3D hip pathologies.Some methods based on 3D technology did not find their way to clinical practice.The goal of this study was to develop a 3D measurement method (named spidermap) for the acetabular coverage that can be used for the diagnosis of DDH as well as for the quantification of correction after Periacetabular Osteotomy (PAO). Methods:In a first step we defined the threshold between physiological and dysplastic hips using this spidermap and in a second step we compared physiological to surgically treated dysplastic hips to quantify the correction.The population included three groups: Group A consisted of 18 physiological, group B of 21 dysplastic and group C of 8 surgically corrected hips.CT scans were used to calculate femoral head coverage by using the newly developed 3D algorithm.The result is a 2D map, a circular diagram showing anterior coverage at 0 °, lateral coverage at 90 °, posterior coverage at 180 ° and medial coverage at -90 °.In a first step, groups A and B were compared to determine in which areas there was a significant threshold regarding coverage.In a second step groups A and C were compared to quantify the surgical correction after PAO.Results: A significant threshold between groups A and B was found in the areas from -30 ° to 247.5 ° (p < 0.05).In the areas from 0 ° to 180 ° the specificity was high (>95%).The comparison of groups A and C showed a significant improvement in the areas from of 37 ° to 202.5 ° after PAO (p < 0.05). Conclusion:Our 3D measurement method was able to reliably distinguish between physiological und dysplastic hips which allows for diagnosis of DDH in three dimensions.Furthermore, the spidermap allows for assessment of successful correction after PAO.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.29011/2575-8241.001321
- https://www.gavinpublishers.com/assets/articles_pdf/A-CT-based-3D-Algorithm-for-Diagnosis-of-DDH-and-Quantification-of-Surgical-Correction.pdf
- OA Status
- diamond
- References
- 10
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387196510
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387196510Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.29011/2575-8241.001321Digital Object Identifier
- Title
-
A CT based 3D Algorithm for Diagnosis of DDH and Quantification of Surgical CorrectionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-21Full publication date if available
- Authors
-
David Leuzinger, Armando Hoch, Philipp Fürnstahl, Patrick O. ZinggList of authors in order
- Landing page
-
https://doi.org/10.29011/2575-8241.001321Publisher landing page
- PDF URL
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https://www.gavinpublishers.com/assets/articles_pdf/A-CT-based-3D-Algorithm-for-Diagnosis-of-DDH-and-Quantification-of-Surgical-Correction.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://www.gavinpublishers.com/assets/articles_pdf/A-CT-based-3D-Algorithm-for-Diagnosis-of-DDH-and-Quantification-of-Surgical-Correction.pdfDirect OA link when available
- Concepts
-
Algorithm, Surgical procedures, Computer science, Medicine, Nuclear medicine, SurgeryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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10Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.anterior | 145 |
| abstract_inverted_index.circular | 142 |
| abstract_inverted_index.clinical | 25 |
| abstract_inverted_index.compared | 87, 174, 195 |
| abstract_inverted_index.coverage | 43, 128, 146, 151, 156, 162 |
| abstract_inverted_index.included | 99 |
| abstract_inverted_index.quantify | 95, 197 |
| abstract_inverted_index.reliably | 270 |
| abstract_inverted_index.surgical | 199 |
| abstract_inverted_index.Osteotomy | 63 |
| abstract_inverted_index.calculate | 125 |
| abstract_inverted_index.consisted | 104 |
| abstract_inverted_index.corrected | 119 |
| abstract_inverted_index.determine | 176 |
| abstract_inverted_index.developed | 133 |
| abstract_inverted_index.diagnosis | 50, 280 |
| abstract_inverted_index.posterior | 155 |
| abstract_inverted_index.regarding | 185 |
| abstract_inverted_index.spidermap | 80, 287 |
| abstract_inverted_index.threshold | 72, 184, 205 |
| abstract_inverted_index.(>95%).The | 237 |
| abstract_inverted_index.Methods:In | 65 |
| abstract_inverted_index.acetabular | 42 |
| abstract_inverted_index.assessment | 290 |
| abstract_inverted_index.comparison | 238 |
| abstract_inverted_index.complexity | 9 |
| abstract_inverted_index.correction | 60, 200, 293 |
| abstract_inverted_index.dysplastic | 76, 92, 112, 275 |
| abstract_inverted_index.population | 98 |
| abstract_inverted_index.spidermap) | 39 |
| abstract_inverted_index.successful | 292 |
| abstract_inverted_index.surgically | 90, 118 |
| abstract_inverted_index.technology | 18 |
| abstract_inverted_index.coverage.In | 186 |
| abstract_inverted_index.distinguish | 271 |
| abstract_inverted_index.improvement | 247 |
| abstract_inverted_index.measurement | 36, 265 |
| abstract_inverted_index.radiographs | 2 |
| abstract_inverted_index.significant | 183, 204, 246 |
| abstract_inverted_index.specificity | 234 |
| abstract_inverted_index.Conventional | 1 |
| abstract_inverted_index.PAO.Results: | 202 |
| abstract_inverted_index.practice.The | 26 |
| abstract_inverted_index.Introduction: | 0 |
| abstract_inverted_index.algorithm.The | 135 |
| abstract_inverted_index.physiological | 74, 88, 273 |
| abstract_inverted_index.Conclusion:Our | 263 |
| abstract_inverted_index.Periacetabular | 62 |
| abstract_inverted_index.correction.The | 97 |
| abstract_inverted_index.physiological, | 107 |
| abstract_inverted_index.quantification | 58 |
| abstract_inverted_index.pathologies.Some | 13 |
| abstract_inverted_index.dimensions.Furthermore, | 285 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.36279631 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |