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      Morphological Asymmetry of Pelvic Rings: A Study Based on Three‐Dimensional Deviation Analysis

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          Abstract

          Objective

          To evaluate the morphological asymmetry of pelvic rings existing in healthy individuals in terms of three‐dimensional (3D) geometric shapes.

          Methods

          This study was a retrospective self‐control study. CT images of healthy pelvises, scanned from Jan 2014 to Jan 2019, were taken from 159 subjects (88 males and 71 females) aged 20 to 59 years (39.1 ± 8.7 years). Digital pelvic ring models were reconstructed from CT images and then flipped over the corresponding sagittal planes to obtain their mirrored models. A 3D deviation analysis of a pelvic ring was conducted between the original model and its mirrored model via model registration and quantification of the geometric differences. Next, the pelvic rings were split to the left and right hipbones. The same flipping procedures as done by pelvic rings were performed for left hipbones to obtain their mirrored models. A 3D deviation analysis was also performed between the left and right hip bones. Quantitative variables representing deviation mainly included the average deviation (AD) and the maximum deviation (MD). MDs over 4 mm and 10 mm were deemed as critical levels for evaluating the severity of asymmetry as per Matta's scoring system. The quantitative assessments of the asymmetry covered pelvic rings, bilateral hip bones and the specific anatomic regions of a hip bone.

          Results

          157 out of 159 pelvic rings (98.74%) had more than 4 mm of the MD and 27 (16.98%) of them exceeded 10 mm of the MD. The MD of pelvic rings was 1.23 times as high as that for the bilateral hip bones (7.46 mm vs. 6.08 mm, P < 0.05). The ADs of pelvic rings and bilateral hip bones were 1.28 mm and 0.94 mm, respectively ( P < 0.05); 2.27% of the surface points of a pelvic ring had more than 4 mm geometric deviations compared with its mirrored model, while 0.59% ( P < 0.05) of bilateral hip bones were on the same level of deviation. 119 out of 159 pelvic iliac crests (74.8%) had MDs more than 4 mm, and 15 (9.4%) reached 10 mm or more. Only 15 (9.4%) pelvises presented asymmetric features in the area of obturator foramen where the MDs exceeded 4 mm.

          Conclusions

          Pelvic asymmetry exists in the general population, but 3D geometric symmetry is present in specific anatomic regions. It implies that restoring the 3D symmetry of specific anatomic regions is more reliable than “restoring the symmetry of pelvic ring” in pelvic ring reduction or pelvic fixation design.

          Abstract

          An investigation of pelvic ring asymmetry as it relates to pelvic reduction in surgery for pelvic ring injury, reduction quality assessment, and design of 3D‐printing customized implants. Pelvic asymmetry exists in the general population either as asymmetrical orientation of hip bones or geometric differences of bilateral hip bones.

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          Most cited references30

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          Internal Fixation of Unstable Pelvic Ring Injuries

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            Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks

            The Hausdorff Distance (HD) is widely used in evaluating medical image segmentation methods. However, the existing segmentation methods do not attempt to reduce HD directly. In this paper, we present novel loss functions for training convolutional neural network (CNN)-based segmentation methods with the goal of reducing HD directly. We propose three methods to estimate HD from the segmentation probability map produced by a CNN. One method makes use of the distance transform of the segmentation boundary. Another method is based on applying morphological erosion on the difference between the true and estimated segmentation maps. The third method works by applying circular/spherical convolution kernels of different radii on the segmentation probability maps. Based on these three methods for estimating HD, we suggest three loss functions that can be used for training to reduce HD. We use these loss functions to train CNNs for segmentation of the prostate, liver, and pancreas in ultrasound, magnetic resonance, and computed tomography images and compare the results with commonly-used loss functions. Our results show that the proposed loss functions can lead to approximately 18-45% reduction in HD without degrading other segmentation performance criteria such as the Dice similarity coefficient. The proposed loss functions can be used for training medical image segmentation methods in order to reduce the large segmentation errors.
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              Pelvic ring disruptions: prediction of associated injuries, transfusion requirement, pelvic arteriography, complications, and mortality.

              To determine if age, fracture pattern, systolic blood pressure on arrival, base deficit, or the Revised Trauma Score is predictive of mortality, transfusion requirements, use of pelvic arteriography, later complications, or injuries associated with the pelvic ring disruption. Retrospective review of a prospectively collected database. All closed pelvic ring disruptions seen between November 1, 1997 and November 30, 1999 were included. Predictive variables and outcome variables were recorded for each patient. Statistical analysis was used to determine if the above variables were predictive. Shock on arrival and the Revised Trauma Score were significantly associated with mortality, transfusion requirement, Injury Severity Score, and all the Abbreviated Injury Scores except the one for skin. In addition, the Revised Trauma Score was significantly associated with the use of pelvic arteriography and predicted more complications than did shock on arrival. Age was significantly associated with transfusion requirement, Injury Severity Score, the chest and skin Abbreviated Injury Scores, use of arteriography, and death. The mortality rate among patients who presented in shock was 57 percent. A Revised Trauma Score of less than 11 predicted mortality with a sensitivity and specificity of 58 percent and 92 percent, respectively. Shock on arrival predicted mortality with a sensitivity and specificity of 27 percent and 96 percent, respectively. Age greater than sixty years predicted mortality with a sensitivity and specificity of 26 percent and 91 percent, respectively. In our analysis of the fracture patterns, we were unable to demonstrate consistent, meaningful links between specific fracture classes and the outcome variables. Shock on arrival and the Revised Trauma Score are useful predictors of mortality and transfusion requirements, Injury Severity Score, and Abbreviated Injury Scores for the head and neck, face, chest, abdomen, and extremities. In addition, the Revised Trauma Score predicts the use of pelvic arteriography and later complications. Age predicted transfusion requirement, Injury Severity Score, the chest and skin Abbreviated Injury Scores, use of arteriography, and death.
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                Author and article information

                Contributors
                lzgkcxh@163.com
                Journal
                Orthop Surg
                Orthop Surg
                10.1111/(ISSN)1757-7861
                OS
                Orthopaedic Surgery
                John Wiley & Sons Australia, Ltd (Melbourne )
                1757-7853
                1757-7861
                04 April 2022
                May 2022
                : 14
                : 5 ( doiID: 10.1111/os.v14.5 )
                : 967-976
                Affiliations
                [ 1 ] The First School of Clinical Medicine Southern Medical University Guangzhou China
                [ 2 ] Department of Orthopedics and Trauma Foshan Sanshui District People's Hospital Foshan City China
                [ 3 ] Department of General Surgery Foshan Sanshui District People's Hospital Foshan City China
                [ 4 ] Department of Medical Imaging Foshan Sanshui District People's Hospital Foshan City China
                [ 5 ] Department of Orthopaedic Surgery Wuhan School of Clinical Medicine, Southern Medical University Wuhan China
                Author notes
                [*] [* ] Address for correspondence Xianhua Cai, Professor, MD, Department of Orthopaedic Surgery, Wuhan School of Clinical Medicine, Southern Medical University, No. 627, Wuluo Road, Wuchang District, Wuhan City, Hubei Province, China, 430070 Tel: +8602750772521; Fax: +00862750771320; Email: lzgkcxh@ 123456163.com

                Author information
                https://orcid.org/0000-0003-1680-3839
                https://orcid.org/0000-0002-3212-3342
                https://orcid.org/0000-0003-3254-1189
                https://orcid.org/0000-0001-6869-1678
                https://orcid.org/0000-0003-0593-1077
                Article
                OS13246
                10.1111/os.13246
                9087459
                35377554
                073bb87f-c584-4897-8938-26573683787f
                © 2022 The Authors. Orthopaedic Surgery published by Tianjin Hospital and John Wiley & Sons Australia, Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 04 February 2022
                : 20 February 2021
                : 18 February 2022
                Page count
                Figures: 6, Tables: 5, Pages: 10, Words: 6347
                Funding
                Funded by: Guangdong Medical Research Foundation , doi 10.13039/501100003785;
                Award ID: A2017615
                Funded by: Technological innovation projects of Hubei province , doi 10.13039/501100013338;
                Award ID: 2017ACA099
                Funded by: Medical Research Project of the Health Bureau of Foshan
                Award ID: 20200293
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                May 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.5 mode:remove_FC converted:10.05.2022

                deviation analysis,pelvis,surgical planning,three‐dimensional models

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