Morphological consistency of bilateral hip joints in adults based on the X-ray and CT data

Zhao, Ran; Cai, Hong; Tian, Hua; Zhang, Ke

doi:10.1007/s00276-020-02676-4

Cited by 11 publications

(7 citation statements)

References 23 publications

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“…11 Studies depicted that in normal subjects, the femoral neck-shaft angle difference between the hips was not statistically significant. 12 In accordance with the researches conducted across the globe, NSA showed no significant variation. For the populations of Europe, America and Asia the mean value of NSA between 126°-130°.…”

Section: Discussionsupporting

confidence: 81%

Study of anthropometric parameters of adult human femora.

Manzoor

Zia

Hamid

et al. 2023

TPMJ

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Objective: To study the variations in anthropometric parameters of the adult human femora including total length, shaft length, the angle anteversion and neck shaft angle in femur of Pakistani origin. Study Design: Descriptive Correlational. Setting: Department of Anatomy, Rawalpindi Medical University. Period: April, 2022 to June, 2022. Material & Methods: Eighty femora of undetermined gender and age were selected from the bone bank of Anatomy Department, Rawalpindi Medical University (RMU). Measuring tape was used to measure length and goniometer was used to measure angles. Results: Thirty five bones were of right side and 45 of the left. The total femur length was 43.75±3.01 cm and the femur shaft length were 30.21±2.54 cm. There was no significant difference between the two sides. The mean neck shaft angle was 128.79±5.05 degrees with no difference between the sides. The mean angle of anteversion was 16.43±5.14 degrees with a significantly greater angle on the right compared to the left side (p=0.028). Conclusion: In Pakistani Femur there is no significant difference in the total, shaft lengths and neck shaft angles on the right and left sides. This bilateral symmetry shows synchronization which is important for posture and movement. However, the Angle of Femoral Neck Anteversion is significantly greater on the right as compared to the left. Also, this angle is less than reported in African and more than reported in American and European population.

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Section: Discussionsupporting

confidence: 81%

Study of anthropometric parameters of adult human femora.

Manzoor

Zia

Hamid

et al. 2023

TPMJ

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“…First, we used the contralateral side (which did not have any visible radiographic abnormalities) for templating and assumed there was bilateral symmetry of the lower limbs. Because previous studies found symmetry between the two sides of adult hips in terms of proximal femoral anatomy [25,26] and acetabular abduction angle [26], it is theoretically feasible to restore the personalized biomechanics of the affected side by using the hip morphology of the nonaffected side [26]. Keeping the leg in 15°of internal rotation in a painless hip is much easier than on the painful or arthritic side, leading to a higher probability of obtaining a suitably rotated femur.…”

Section: Limitationsmentioning

confidence: 99%

Digital Templating of THA Using PACS and an iPhone or iPad is as Accurate as Commercial Digital Templating Software

Pongkunakorn

Udomluck

Aksornthung

et al. 2022

Clin Orthop Relat Res

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BackgroundDigital templating is a standard preoperative planning method in THA. Unfortunately, many hospitals cannot afford the software or have accessibility barriers owing to a limited number of installed computer workstations. We created a templating method using a picture archiving and communication system and the Keynote program on a mobile phone. The method’s accuracy and reliability have not been compared with those of commercial digital templating software.Questions/purposes(1) How accurate is this novel method on iPhone and iPad mobile devices compared with a commercially available digital templating software program? (2) Is the method reproducible among users with different levels of experience? (3) Are the results similar for different types of femoral prostheses?MethodsBetween January 2017 and May 2020, we treated 209 patients for hip disease or trauma with primary cementless THA. We considered patients with a normal contralateral hip as potentially eligible for this retrospective study. Thus, 91% (191 of 209 hips) were eligible; a further 13% (27 hips) were excluded because of postoperative leg length discrepancy > 5 mm, femoral offset discrepancy > 5 mm (9% [18 hips]), intraoperative periprosthetic fracture (4% [eight hips]), and proximal femoral deformity (0.5% [one hip]), leaving 78% (164 hips) for analysis here. Their preoperative radiographs were evaluated by three independent assessors, including one senior orthopaedic surgeon, one senior resident, and one junior resident, using three methods. The first was digital templating using OrthoView software, which is a commercially available digital templating software program used worldwide and known to possess high accuracy. The other two methods were technically similar to one another, with the only difference being the interface: iPhone versus iPad. In both of those approaches, using the picture archiving and communication system measurement tool, we drew a circle on an acetabular radiograph to depict the cup. We took a photograph of the computer display and imported the photograph into slides of the Keynote program, a presentation software application for Mac computers, on both devices. It was then underlaid on transparent digital templates of the femoral stem, which were scanned from plastic templates and positioned at the center of each slide. We scaled the image to the template by adjusting the image size until a 15-cm straight line on the hip photograph was equal to the 15-cm scale markers of the template. All templating results were compared with the actual implanted cementless THA components to assess accuracy. All assessors were blinded to the information about the actual implants, and they were not involved in performing the surgical procedures. The intrarater and interrater reliabilities were analyzed using intraclass correlation coefficients and kappa values. The accuracy for predicting stem size for each type of the four stem designs was compared among the three methods.ResultsWe were able to predict the acetabular cup size with...

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“…Nevertheless, we are collecting a diseased training set to improve the method's robustness to variable disease types. Moreover, the bilateral symmetry nature of the hip (Dimitriou et al 2016, Zhao et al 2021 can also be used to compensate for missed measurements on the diseased side.…”

Section: Discussionmentioning

confidence: 99%

Deep learning-based workflow for hip joint morphometric parameter measurement from CT images

Zhai,

Huang,

et al. 2023

Phys. Med. Biol.

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Objective. Precise hip joint morphometry measurement from CT images is crucial for successful preoperative arthroplasty planning and biomechanical simulations. Although deep learning approaches have been applied to clinical bone surgery planning, there is still a lack of relevant research on quantifying hip joint morphometric parameters from CT images. Approach. This paper proposes a deep learning workflow for CT-based hip morphometry measurement. For the first step, a coarse-to-fine deep learning model is designed for accurate reconstruction of the hip geometry (3D bone models and key landmark points). Based on the geometric models, a robust measurement method is developed to calculate a full set of morphometric parameters, including the acetabular anteversion and inclination, the femoral neck shaft angle and the inclination, etc. Our methods were validated on two datasets with different imaging protocol parameters and further compared with the conventional 2D X-ray-based measurement method. Main results. The proposed method yields high bone segmentation accuracies (Dice coefficients of 98.18% and 97.85%, respectively) and low landmark prediction errors (1.55 mm and 1.65 mm) on both datasets. The automated measurements agree well with the radiologists’ manual measurements (Pearson correlation coefficients between 0.47 and 0.99 and intraclass correlation coefficients between 0.46 and 0.98). This method provides more accurate measurements than the conventional 2D X-ray-based measurement method, reducing the error of acetabular cup size from over 2 mm to less than 1 mm. Moreover, our morphometry measurement method is robust against the error of the previous bone segmentation step. As we tested different deep learning methods for the prerequisite bone segmentation, our method produced consistent final measurement results, with only a 0.37 mm maximum inter-method difference in the cup size. Significance. This study proposes a deep learning approach with improved robustness and accuracy for pelvis arthroplasty planning.

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Morphological consistency of bilateral hip joints in adults based on the X-ray and CT data

Cited by 11 publications

References 23 publications

Study of anthropometric parameters of adult human femora.

Study of anthropometric parameters of adult human femora.

Digital Templating of THA Using PACS and an iPhone or iPad is as Accurate as Commercial Digital Templating Software

Deep learning-based workflow for hip joint morphometric parameter measurement from CT images

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