Classification of femur trochanteric fracture: Evaluating the reliability of Tang classification

Yin, Bo; He, Yuanming; Wang, Dong; Zhou, Junlin

doi:10.1016/j.injury.2020.11.031

Cited by 12 publications

(6 citation statements)

References 32 publications

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“…Basha et al [ 3 ] designed an efficient and automatic bone fracture detection system which combined the enhanced Haar wavelet transform with scale-invariant feature transform (SIFT) to extract the image features and then input them to a neural network for bone fracture classification; the final experimental results indicated that the designed model could gain better classification performance compared with the SIFT method. Yin et al [ 4 ] explored the Tang classification system which was based on the three-dimensional image analysis system to achieve the automatic classification of the femoral intertrochanteric fracture, and it demonstrated that the proposed Tang classification system could be more reliable than other ones in this task. Moreover, in the work [ 5 ], it proposed an exemplar pyramid architecture that learned different image features and then classified the fracture types by adopting the classical classifiers.…”

Section: Introductionmentioning

confidence: 99%

Deep Scale-Variant Network for Femur Trochanteric Fracture Classification with HP Loss

Kang

Ren

Zhang

et al. 2022

Journal of Healthcare Engineering

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Achieving automatic classification of femur trochanteric fracture from the edge computing device is of great importance and value for remote diagnosis and treatment. Nevertheless, designing a highly accurate classification model on 31A1/31A2/31A3 fractures from the X-ray is still limited due to the failure of capturing the scale-variant and contextual information. As a result, this paper proposes a deep scale-variant (DSV) network with a hybrid and progressive (HP) loss function to aggregate more influential representations of the fracture regions. More specifically, the DSV network is based on the ResNet and integrated with the designed scale-variant (SV) layer and HP loss, where the SV layer aims to enhance the representation ability to extract the scale-variant features, and HP loss is intended to force the network to condense more contextual clues. Furthermore, to evaluate the effect of the proposed DSV network, we carry out a series of experiments on the real X-ray images for comparison and evaluation, and the experimental results demonstrate that the proposed DSV network could outperform other classification methods on this classification task.

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Section: Introductionmentioning

confidence: 99%

Deep Scale-Variant Network for Femur Trochanteric Fracture Classification with HP Loss

Kang

Ren

Zhang

et al. 2022

Journal of Healthcare Engineering

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“… 19 InterTAN can further enhance the rotational stability of the intramedullary nail, effectively fix the fracture, and promote fracture healing, enabling the patient to carry out effective functional exercise as soon as possible, and further improving the function of the hip joint. 20 InterTAN and PFNA internal fixations have their own advantages in the treatment of elderly patients with intertrochanteric fractures. Although InterTAN necessitates long operation times and produces relatively large trauma, it provides appropriate hip joint function recovery outcomes after the operation, and its effects on the fixation strength, stability, and torque resistance are better than those of PFNA.…”

Section: Discussionmentioning

confidence: 99%

Comparison of InterTAN and PFNA internal fixation for elderly patients with intertrochanteric fracture: A retrospective cohort study

Li,

Fang,

Gao

et al. 2024

Pak J Med Sci

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Objective: To compare the clinical outcomes of InterTAN nail and proximal femoral nail antirotation (PFNA) internal fixation for the treatment of intertrochanteric fractures in the elderly. Methods: We retrospectively reviewed the clinical records of 151 elderly patients with intertrochanteric fractures treated in The Second People’s Hospital of Hefei from October 2019 to December 2021. Among them, 73 patients had undergone InterTAN (InterTAN group) and 78 patients had undergone PFNA (PFNA group) internal fixation. Operation-related variables (operation time, incision length, intraoperative bleeding volume, hospital stays length, and fracture healing time), complications, and Harris scores were compared between the two groups. Results: The operation time and incision length were shorter and the intraoperative bleeding was less in the PFNA group than in the InterTAN group (all P-values <0.05), but the fracture healing time was longer in the PFNA group (P<0.05). We found similar hospital stays and surgical complications in the two groups (P>0.05). In addition, the Harris hip joint scores were significantly higher in the InterTAN group than in the PFNA group at one, six, and twelve months after the operation (P<0.05). Conclusions: InterTAN and PFNA internal fixation have their own advantages in treating patients with intertrochanteric fractures. InterTAN has better postoperative recovery results, while PFNA has less perioperative trauma. Clinically, InterTAN or PFNA should be selected based on the specific conditions of each patient to maximize the therapeutic benefit of each treatment method. doi: https://doi.org/10.12669/pjms.40.4.8794 How to cite this: Li L, Fang X, Gao J, Han W, Kong X. Comparison of InterTAN and PFNA internal fixation for elderly patients with intertrochanteric fracture: a retrospective cohort study. Pak J Med Sci. 2024;40(4):589-594. doi: https://doi.org/10.12669/pjms.40.4.8794 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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“…It is often caused by low-energy injuries. After FIF, it often causes hip pain, swelling, deformity, and limitation of movement [ 3 – 5 ]. If FIF is treated nonsurgically, it has many complications, and it is prone to complications such as pressure ulcers, lung infections, urinary tract infections, and deep vein thrombosis of the lower extremities, which can easily endanger the lives of patients [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Humanized Nursing Intervention Guided by Computed Tomography Images on Elderly Patients Undergoing Anesthesia for Femur Intertrochanteric Fractures under Intelligent Reconstruction Algorithm

Zeng

et al. 2022

Computational and Mathematical Methods in Medicine

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This research was aimed at analyzing the effect of humanized nursing intervention combined with computed tomography (CT) imaging in the surgical anesthesia of femur intertrochanteric fractures (FIF) in the elderly. An image reconstruction algorithm was proposed based on nonlocal mean (NLM) algorithm, which was named as ONLM, and its performance was analyzed. A total of 114 elderly patients with FIF were equally and randomly divided into a humanized nursing group (57 cases) and a routine nursing group (57 cases). They were performed with CT imaging scan based on the ONLM algorithm, and the clinical indicators of the two groups of patients were recorded. The root mean square error (RMSE) and mean absolute error (MAE) of the CT images constructed using the ONLM algorithm were significantly lower than those using NLM algorithm, edge filtering algorithm, and total variation model, while the peak signal-to-noise ratio (PSNR) was the opposite ( P < 0.05 ). The operation time, hospitalization days, intraoperative blood loss, postoperative drainage, and anesthesia preparation time of patients in the humanized nursing group were significantly lower than those in the routine nursing group. The number of patients with excellent Harris scores in the humanized nursing group was higher than that in the routine nursing group, and the number of patients with poor Harris scores was lower ( P < 0.05 ). The language pain score, facial pain score, and visual analog simulation (VAS) scores of patients in the humanized nursing group were significantly lower than those in the routine nursing group. The numbers of postoperative hip varus and fracture nonunion cases in the humanized nursing group were significantly more than those in the routine nursing group. In short, CT images constructed by the ONLM showed higher performance than those by the traditional algorithm. In addition, CT images constructed by ONLM combined with humanized nursing intervention could more effectively improve the cooperation of patients with surgical anesthesia, reduce surgical pain and fear of patients, improve the prognosis of patients, and lower the occurrence of adverse events.

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Classification of femur trochanteric fracture: Evaluating the reliability of Tang classification

Cited by 12 publications

References 32 publications

Deep Scale-Variant Network for Femur Trochanteric Fracture Classification with HP Loss

Deep Scale-Variant Network for Femur Trochanteric Fracture Classification with HP Loss

Comparison of InterTAN and PFNA internal fixation for elderly patients with intertrochanteric fracture: A retrospective cohort study

The Effect of Humanized Nursing Intervention Guided by Computed Tomography Images on Elderly Patients Undergoing Anesthesia for Femur Intertrochanteric Fractures under Intelligent Reconstruction Algorithm

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