Relevant bibliographies by topics / Fracture classification

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Academic literature on the topic 'Fracture classification'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Fracture classification"

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Kijima, Hiroaki, Shin Yamada, Natsuo Konishi, Hitoshi Kubota, Hiroshi Tazawa, Takayuki Tani, Norio Suzuki, et al. "The Reliability of Classifications of Proximal Femoral Fractures with 3-Dimensional Computed Tomography: The New Concept of Comprehensive Classification." Advances in Orthopedics 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/359689.

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The reliability of proximal femoral fracture classifications using 3DCT was evaluated, and a comprehensive “area classification” was developed. Eleven orthopedists (5–26 years from graduation) classified 27 proximal femoral fractures at one hospital from June 2013 to July 2014 based on preoperative images. Various classifications were compared to “area classification.” In “area classification,” the proximal femur is divided into 4 areas with 3 boundary lines: Line-1 is the center of the neck, Line-2 is the border between the neck and the trochanteric zone, and Line-3 links the inferior borders of the greater and lesser trochanters. A fracture only in the first area was classified as a pure first area fracture; one in the first and second area was classified as a 1-2 type fracture. In the same way, fractures were classified as pure 2, 3-4, 1-2-3, and so on. “Area classification” reliability was highest when orthopedists with varying experience classified proximal femoral fractures using 3DCT. Other classifications cannot classify proximal femoral fractures if they exceed each classification’s particular zones. However, fractures that exceed the target zones are “dangerous” fractures. “Area classification” can classify such fractures, and it is therefore useful for selecting osteosynthesis methods.
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van Heerden, Frans G., Robert M. Kirberger, and Marthinus J. Hartman. "Long Bone Fractures in Impala (Aepyceros melampus): A Classification System and Review of 55 Cases." Veterinary and Comparative Orthopaedics and Traumatology 32, no. 05 (June 3, 2019): 408–19. http://dx.doi.org/10.1055/s-0039-1691818.

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Abstract Objective The purpose of this study was to introduce a modified-Unger fracture classification in impala and report the findings of 58 long bone fractures classified according to this system. Methods This was a retrospective radiographical study evaluating 122 radiographs of 58 long bone fractures in 55 impala. The Unger fracture classification was modified and fracture illustrations for the metacarpal and metatarsal bones added. Each fracture was classified and assigned a four symbol α-numeric code using our classification. The patient signalment, skeletal maturity, fracture-associated soft tissue changes, presence of fissure lines, periosteal reaction and cause of the fracture were recorded. Results The overall fracture distribution based on location, found tibial (n = 17) fractures to be the most common fractured long bone. When combined, the majority of fractures involved the metacarpal and metatarsal bones (n = 23). Forty five of 58 fractures occurred in the diaphyseal bone segment. In all long bones, the distribution based on complexity was simple (n = 27), wedge (n = 16) and multi-fragmentary (n = 15) fractures. Thirty one of 58 fractures were open and fissure lines were detected in 20 of 58 fractures. Clinical Significance Our modified-Unger fracture classification was applicable in classifying 58 impala long bone fractures. This classification should provide the basis for further advances in veterinary and comparative ungulates, and particularly the antelopes, orthopaedics and traumatology.
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Drijkoningen, Tessa, Amin Mohamadi, Wouter F. van Leeuwen, Yonatan Schwarcz, David Ring, and Geert A. Buijze. "Scaphoid Fracture Patterns—Part Two: Reproducibility and Demographics of a Simplified Scaphoid Fracture Classification." Journal of Wrist Surgery 08, no. 06 (July 12, 2019): 446–51. http://dx.doi.org/10.1055/s-0039-1692470.

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Abstract Objective To analyze the reproducibility, reliability, and demographics of a simplified anatomical scaphoid fracture classification based on posteroanterior radiographs using a large database of scaphoid fractures. Methods The study consisted of a retrospective review of electronic medical records of 871 consecutive patients. All patients presented between 2003 and 2014 at two centers. Patient- and surgeon-related factors were analyzed. Additionally, interobserver reliability of the Herbert and simplified scaphoid fracture classifications were tested. Results Proximal pole fractures were defined as fractures in which the center of the fracture line was proximal to the distal scapholunate interval (n = 30), waist fractures (n = 802) were defined as fractures involving the scaphocapitate interval, and distal tubercle fractures (n = 39) were defined as fractures involving the scaphotrapeziotrapezoid (STT) interval. The interobserver reliability of the simplified classification was fair (κ = 0.37) as for the Herbert classification (κ = 0.31). The average doubt of the answers of the observers was 2.1 on a scale from 0 to 10 for the simplified classification and 3.6 for the Herbert classification (P < 0.05). Conclusions All complete fractures across the entire scaphoid distal to the scapholunate articulation and proximal to the STT joint can be classified as waist fractures; nonwaist scaphoid fractures are uncommon (6%) and have somewhat different presentations compared to waist fractures. Simplifying the fracture classification slightly improves interobserver reliability, although remaining fair, and significantly reduces doubt. Level of Evidence This is a Level III, prognostic study.
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Unger, M., P. M. Montavon, and U. F. A. Heim. "Classification of Fractures of Long Bones in the Dog and Cat: Introduction and Clinical Application." Veterinary and Comparative Orthopaedics and Traumatology 03, no. 02 (1990): 41–50. http://dx.doi.org/10.1055/s-0038-1633228.

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AbstractA computer filing system for the classification of fractured long bones in dogs and cats is described. It includes definitions of terms and a method of classification, based on fracture criteria seen on radiographs. This fracture classification was adapted from the AO/ASIF classification in man, to accomodate the special requirements of small animals. The localization and morphology of fractures were characterized with defined conventional terms, in order to assign an alpha-numeric code to each fracture. This coding system may also be used for computer filing of the data. With this classification system, the fractures are ranked in increasing severity and complexity for the various anatomical locations. This provides some prognostic and therapeutic informations. The system was used to code 1038 radiographically documented long bone fractures in dogs and cats. The distribution of fractures, with regard to their localization and morphology, was recorded. The system was easy to apply and proved to be able to supply valuable and reliable data.A computer filing system for the classification of fractured long bones in dogs and cats is described.
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Teng, Yugang, Yuanzhen Zhang, and Zhenyu Wang. "Medical Image Analysis and Correlation Between Ankle Fracture Classification and Ankle Computed Tomography." Journal of Medical Imaging and Health Informatics 10, no. 12 (December 1, 2020): 2935–39. http://dx.doi.org/10.1166/jmihi.2020.3235.

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Objective: In this paper, we summarize computed tomography (CT) manifestations and characteristics of ankle fractures, and analyze the relationship between CT images and common ankle fracture classifications. Methods: A retrospective survey of 369 adult ankle fractures was performed. CT images of 1 cm horizontal cross-section above the ankle points and their characteristics were analyzed. Ankle fracture X-ray classification was performed, and the relationship between CT images and fracture X-ray classification was analyzed. Results: There is a correlation between CT images and Danis-Weber classification. The incidence of IOL fractures varies with the severity of Danis-Weber classification. After rank correlation test, the difference is statistically significant (Spearman R = 0.781,P < 0.001). CT images can detect IOL fractures that cannot be judged by X-ray fracture classification, and the incidence rate is 5.9%. Conclusions: The 1 cm horizontal cross-section CT image on the ankle point can clearly determine the combined tibiofibular IOL injury before surgery, and it has a good correlation with the Danis-Weber fracture classification, and can detect unexplainable IOL fractures in some radiographs.
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Shoda, Etsuo, Shimpei Kitada, Yu Sasaki, Hitoshi Hirase, Takahiro Niikura, Sang Yang Lee, Atsushi Sakurai, Keisuke Oe, and Takeharu Sasaki. "Proposal of new classification of femoral trochanteric fracture by three-dimensional computed tomography and relationship to usual plain X-ray classification." Journal of Orthopaedic Surgery 25, no. 1 (January 1, 2017): 230949901769270. http://dx.doi.org/10.1177/2309499017692700.

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Purpose: Classification of femoral trochanteric fractures is usually based on plain X-ray findings using the Evans, Jensen, or AO/OTA classification. However, complications such as nonunion and cut out of the lag screw or blade are seen even in stable fracture. This may be due to the difficulty of exact diagnosis of fracture pattern in plain X-ray. Computed tomography (CT) may provide more information about the fracture pattern, but such data are scarce. In the present study, it was performed to propose a classification system for femoral trochanteric fractures using three-dimensional CT (3D-CT) and investigate the relationship between this classification and conventional plain X-ray classification. Methods: Using three-dimensional (3D)-CT, fractures were classified as two, three, or four parts using combinations of the head, greater trochanter, lesser trochanter, and shaft. We identified five subgroups of three-part fractures according to the fracture pattern involving the greater and lesser trochanters. In total, 239 femoral trochanteric fractures (45 men, 194 women; average age, 84.4 years) treated in four hospitals were classified using our 3D-CT classification. The relationship between this 3D-CT classification and the AO/OTA, Evans, and Jensen X-ray classifications was investigated. Results: In the 3D-CT classification, many fractures exhibited a large oblique fragment of the greater trochanter including the lesser trochanter. This fracture type was recognized as unstable in the 3D-CT classification but was often classified as stable in each X-ray classification. Conclusions: It is difficult to evaluate fracture patterns involving the greater trochanter, especially large oblique fragments including the lesser trochanter, using plain X-rays. The 3D-CT shows the fracture line very clearly, making it easy to classify the fracture pattern.
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Michelson, James, and John Delaney. "Ankle Fracture Stability-based Classification." Foot & Ankle Orthopaedics 3, no. 3 (July 1, 2018): 2473011418S0034. http://dx.doi.org/10.1177/2473011418s00348.

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Category: Trauma Introduction/Purpose: Rotational ankle fractures are common in orthopaedic surgery, however existing classification systems are mostly descriptive in nature and do not explicitly guide surgical decision-making. A Stability-Based classification was developed recently to provide a more prognostic classification. The purpose of this study was to compare the reproducibility of existing ankle fracture classifications, and determine the ability of the Stability-Based classification to predict clinical treatment. Methods: One hundred ninety-three consecutive ankle fractures treated at our institution were retrospectively analyzed. Rotational type injury patterns in patients >18 years old were included. None of the subjects were clinically treated or evaluated by the study authors. The fractures were treated by attending physicians who were unaware of the Stability-Based classification system. Pathologic fractures were excluded. Three observers classified injury radiographs using the Lauge-Hansen, Weber/AO, and Stability-Based classifications systems. Reproducibility (inter-observer variation) of each classification system was calculated using kappa statistics. Prognostic values were evaluated by calculating the area under the curve (AUC) for the ROC curves (using surgery as the positive outcome) for each classification. Results: The Stability-Based classification was showed the excellent reproducibility (kappa .938, 95% CI .921-.952), along with the Weber/AO classification (kappa .97, 95% CI .961-.976), while the Lauge-Hansen had the lowest reproducibility (kappa .74, 95%CI .664-.795). The AUC for the three classifications were .883 (95%CI .852-.914), .626 (95%CI .576-.675), and .698 (95%CI .641-.755), respectively (Figure 1). The AUC was significantly better for the Stability-Based classification compared to the other 2 classifications (p<.001). Conclusion: The AO/Weber classification had excellent reproducibility, but did not predict the need for surgical stabilization accurately. In contrast, the Stability-Based classification system was both highly reproducible (kappa .938) with excellent prognostic ability to identify patients who got surgery (AUC .883). Furthermore, there were no patients who were classified as stable who failed non-operative treatment. The Stability-Based classification was found to have superior prognostic capacity compared to both the Lauge-Hansen and AO/Weber classification systems. This extends earlier studies by showing the reproducibility of the Stability-Based classification system and directly demonstrating its prognostic superiority to other classification systems.
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Liu, Yijun, Hao Lu, Hailin Xu, Wenyong Xie, Xiaokun Chen, Zhongguo Fu, Dianying Zhang, and Baoguo Jiang. "Characteristics and classification of medial malleolar fractures." Bone & Joint Journal 103-B, no. 5 (May 1, 2021): 931–38. http://dx.doi.org/10.1302/0301-620x.103b5.bjj-2020-1859.r2.

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Aims The morphology of medial malleolar fracture is highly variable and difficult to characterize without 3D reconstruction. There is also no universally accepeted classification system. Thus, we aimed to characterize fracture patterns of the medial malleolus and propose a classification scheme based on 3D CT reconstruction. Methods We retrospectively reviewed 537 consecutive cases of ankle fractures involving the medial malleolus treated in our institution. 3D fracture maps were produced by superimposing all the fracture lines onto a standard template. We sliced fracture fragments and the standard template based on selected sagittal and coronal planes to create 2D fracture maps, where angles α and β were measured. Angles α and β were defined as the acute angles formed by the fracture line and the horizontal line on the selected planes. Results A total of 121 ankle fractures were included. We revealed several important fracture features, such as a high correlation between posterior collicular fractures and posteromedial fragments. Moreover, we generalized the fracture geometry into three recurrent patterns on the coronal view of 3D maps (transverse, vertical, and irregular) and five recurrent patterns on the lateral view (transverse, oblique, vertical, Y-shaped, and irregular). According to the fracture geometry on the coronal and lateral view of 3D maps, we subsequently categorized medial malleolar fractures into six types based on the recurrent patterns: anterior collicular fracture (27 type I, 22.3%), posterior collicular fracture (12 type II, 9.9%), concurrent fracture of anterior and posterior colliculus (16 type III, 13.2%), and supra-intercollicular groove fracture (66 type IV, 54.5%). Therewere three variants of type IV fractures: transverse (type IVa), vertical (type IVb), and comminuted fracture (type IVc). The angles α and β varied accordingly. Conclusion Our findings yield insight into the characteristics and recurrent patterns of medial malleolar fractures. The proposed classification system is helpful in understanding injury mechanisms and guiding diagnosis, as well as surgical strategies. Cite this article: Bone Joint J 2021;103-B(5):931–938.
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Colton, C. L. "Fracture classification." Journal of Bone and Joint Surgery. British volume 79-B, no. 5 (September 1997): 708–9. http://dx.doi.org/10.1302/0301-620x.79b5.0790708.

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Tabakovic, Dejan, Radovan Manojlovic, Marko Kadija, Mihailo Ille, Goran Turkovic, and Zoran Vukasinovic. "Possible factors for ankle fractures." Vojnosanitetski pregled 67, no. 3 (2010): 225–28. http://dx.doi.org/10.2298/vsp1003225t.

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Background/Aim. Classification of ankle fractures is commonly used for selecting an appropriate treatment and prognosing an outcome of definite management. One of the most used classifications is the Danis-Weber classification. To the best of our knowledge, in the available literature, there are no parameters affecting specific types of ankle fractures according to the Danis-Weber classification. The aim of this study was to analyze the correlation of the following parameters: age, body weight, body mass index (BMI), height, osteoporosis, osteopenia and physical exercises with specific types of ankle fractures using the Danis-Weber classification. Methods. A total of 85 patients grouped by the Danis-Weber classification fracture types were analyzed and the significance of certain parameters for specific types of ankle fractures was established. Results. The proportion of females was significantly higher (p < 0.001) with a significantly higher age (59.9 years, SD ? 14.2) in relation to males (45.1 years, SD ? 12.8) (p < 0.0001). Type A fracture was most frequent in the younger patients (34.2 years, SD ? 8.6), and those with increased physical exercises (p = 0.020). In type B fracture, the risk factor was osteoporosis (p = 0.0180), while in type C fracture, body weight (p = 0.017) and osteoporosis (p = 0.004) were significant parameters. Conclusion. Statistical analysis using the Danis-Weber classification reveals that there are certain parameters suggesting significant risk factors for specific types of ankle fractures.
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Dissertations / Theses on the topic "Fracture classification"

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Chen, Yupei. "Classification of Atypical Femur Fracture with Deep Neural Networks." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255677.

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Atypical Femur Fracture(AFF) is a type of stress fracture that occurs in conjunction with prolonged bisphosphonate treatment. In practice, AFF is very rarely identified from Normal Femur Fracture(NFF) correctly on the first diagnostic X-ray examination. This project aims at developing an algorithm based on deep neural networks to assist clinicians with the diagnosis of atypical femurfracture. Two diagnostic pipelines were constructed using the Convolutional Neural Network (CNN) as the core classifier. One is a fully automatic pipeline, where the X-rays image is directly input into the network with only standardized pre-processing steps. Another interactive pipeline requires the user to re-orient the femur bones above the fractures to a vertical position and move the fracture line to the image center, before the repositioned image is sent to the CNNs. Three most popular CNNs architectures, namely VGG19, InceptionV3 and ResNet50,were tested for classifying the images to either AFF or NFF. Transfer learning technique was used to pre-train these networks using images form ImageNet. The diagnosis accuracy was evaluated using 5-fold cross-validation. With the fully automatic diagnosis pipeline, we achieved diagnosis accuracy of 82.7%, 89.4%, 90.5%, with VGG19, InceptionV3 and ResNet50, respectively. With the interactive diagnostic pipeline, the diagnosis accuracy was improved to 92.2%, 93.4% and 94.4%, respectively. To further validate the results, class activation mapping is used for indicating the discriminative image regions that the neural networks learn to identify a certain class.
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Arnault, Nicolas Vincent. "Essai de classification therapeutique en traumatologie mandibulaire." Paris 7, 1988. http://www.theses.fr/1988PA071129.

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Frankl, Joseph, Michael P. Sakata, Gagandeep Choudhary, Seung Hur, Andrew Peterson, and Charles T. Hennemeyer. "A Classification System for the Spread of Polymethyl Methacrylate in Vertebral Bodies Treated with Vertebral Augmentation." GRAPHO PUBLICATIONS, 2016. http://hdl.handle.net/10150/623034.

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In this study, we develop a classification system for describing polymethyl methacrylate (PMMA) spread in vertebral bodies after kyphoplasty or vertebroplasty for vertebral compression fractures (VCFs) and for assessing whether PMMA spread varies between operators, VCF etiology, or vertebral level. Intraoperative fluoroscopic images of 198 vertebral levels were reviewed in 137 patients (women, 84; men, 53; mean age, 75.8 +/- 12.5; and those with a diagnosis of osteoporosis, 63%) treated with kyphoplasty between January 01, 2015 and May 31, 2015 at a single center to create a 5-class descriptive system. PMMA spread patterns in the same images were then classified by 2 board-certified radiologists, and a third board-certified radiologist resolved conflicts. A total of 2 primary PMMA spread patterns were identified, namely, acinar and globular, with subtypes of localized acinar, diffuse globular, and mixed, to describe an equal combination of patterns. Interrater reliability using the system was moderate (kappa = 0.47). After resolving conflicts, the most common spread class was globular (n = 63), followed by mixed (n = 58), diffuse globular (n = 30), acinar (n = 27), and localized acinar (n = 20). The spread class after treatment by the 2 most frequent operators differed significantly (n(1) = 63, n(2) = 70; P <.0001). There was no difference in the spread class between VCF etiologies or vertebral levels. PMMA spread may, therefore, be a modifiable parameter that affects kyphoplasty and vertebroplasty efficacy and adverse events.
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Saarenpää, I. (Ismo). "Extracapsular hip fractures—aspects of intramedullary and extramedullary fixation." Doctoral thesis, University of Oulu, 2008. http://urn.fi/urn:isbn:9789514289347.

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Abstract The purposes of the present research were (1) to analyse and characterize the hip fractures treated at Oulu University Hospital during a one-year period using the special forms of the Standardized Audit of Hip Fractures in Europe (SAHFE) and to evaluate their value for quality control, (2) to compare gamma nail (GN) and dynamic hip screw (DHS) fixation for the treatment of trochanteric hip fractures, focusing especially on the functional aspects, (3) to compare the short-term outcome of gamma nail (GN) and dynamic hip screw (DHS) fixation for the treatment of subtrochanteric hip fractures, and (4) to examine the rate and reliability of the classification of basicervical hip fractures and the outcome of the operative methods used for their treatment. Oulu University Hospital joined the Swedish Hip Fracture Project (Rikshöft), aimed at developing the quality control of hip fracture treatment, in 1989, and this later evolved into a project called the Standardized Audit of Hip Fractures in Europe (SAHFE), funded by the European Commission. Registration of hip fractures on the SAHFE forms was common practise in Oulu from 1st September 1997 until the end of December 2003. SAHFE data collection forms were used in all four studies belonging to this thesis. There were 238 hip fracture patients during the one-year period of registration at Oulu University Hospital. The intracapsular / extracapsular fracture rate (60/40) and the female/male rate (80/20) seemed to be similar to those reported in the recent Finnish Health Care Register data. The most frequent method for treating cervical fractures was Austin-Moore hemiarthroplasty (68%) and that for trochanteric and subtrochanteric fractures GN fixation (86%). The SAHFE forms proved to be easy to use and practicable for evaluating the quality of hip fracture treatment. In a matched-pair study the short-term outcomes of the treatment of trochanteric fractures (after 4 months) were slightly better in the DHS group than in the GN group with respect to walking ability and mortality. The difference in mortality was at least partly due to the higher number of complications requiring re-operations associated with GN fixation. In the treatment of subtrochanteric hip fractures, there were four intraoperative complications (9.3%) in the GN group but none in the DHS group. On the other hand, postoperative complications were more common in the DHS group (20% vs. 2%). It is significant that all these complications in the DHS group occurred in Seinsheimer type IIIA fractures. It is concluded that, despite the perioperative problems associated with gamma nailing, this technique may be preferable to DHS fixation for specific fracture types with medial cortical comminutation, such as Seinsheimer type IIIA. Altogether 108 of the 1624 hip fractures were initially classified by the surgeons as basicervical fractures, but after a careful second look only 30 fulfilled all the criteria. The definitive rate of basicervical fractures was thus 1.8%. Treatment of basicervical fractures as trochanteric fractures proved superior to their treatment as cervical fractures, resulting in lower re-operation rates. In conclusions; this thesis suggests that SAHFE forms are very useful for evaluating the quality of hip fracture treatment. Both GN fixation and DHS fixation are effective methods for the treatment of trochanteric hip fractures in elderly patients; in less comminuted fractures, the DHS method is the preferred method of treatment whereas GN fixation is alternative treatment for more comminuted fractures. GN fixation is preferable for the subtrochanteric fratures. Basicervical fractures shoud be regarded clinically as extracapsular fractures and managed in a similar manner to trochanteric fractures.
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SCHILLIO, VALERIE. "La classification simplifiee des fractures : son utilite dans l'informatisation du dossier medical en chirurgie orthopedique et traumatologique." Nice, 1993. http://www.theses.fr/1993NICE6003.

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PRADINES, MICHEL. "Les ruptures de l'urethre feminin au cours des fractures de l'anneau pelvien : a propos de deux observations nouvelles ; essai de classification des mecanismes." Besançon, 1992. http://www.theses.fr/1992BESA3044.

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Pickett, Alexandra. "Distal Radius Fracture : – Treatment, Complications, and Risk Factors for Re-operation." Thesis, Örebro universitet, Institutionen för medicinska vetenskaper, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-86255.

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Introduction: Distal radius fractures (DRF’s) are one of the most common types of fractures,especially in elderly women. In the last decade, there has been a shift in the treatment methodemployed for DRF’s from the traditional non-operative to an operative method using plates andscrews even though there is no evidence to suggest that this method has superior outcomes. Aim: The primary objective of this study was to identify risk factors for complications and reoperationsin the treatment of DRF’s. Method: The study was designed as a retrospective cohort study. Patients treated for DRF’sbetween 2016-2017 were included through the Swedish Fracture Register and complementedwith the patients’ charts and classification of X-Ray Images from The Orthopedic Clinic at TheCentral Hospital in Karlstad. The risk for re-operation was valued through treatment methodsand fracture classification and presented as Odds Ratio. Result: Positive ulnar variance was correlated to having an increased risk for re-operation, OR4.8 (95% CI 1.7-13.8). Those who had volar comminution in their fracture had a greater risk forre-operation, OR 12.4 (95% CI 4.6-34.1, p<0.001), but also a greater risk for correctiveosteotomy, OR 12.6 (95% CI 1.4-113.9, p=0.024). Conclusion: Volar comminution and positive ulnar variance are associated with an increasedrisk for re-operation. However, the degree of the risk is difficult to measure due to the lowincidence of re-operations.
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Castiglia, Marcello Teixeira. "Complementação tomográfica da classificação de Schatzker para as fraturas do planalto tibial." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/17/17142/tde-23042018-171943/.

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As fraturas do planalto tibial são lesões com um espectro muito variado de manifestação clínica. Diversos sistemas de classificação foram desenvolvidos para facilitar a compreensão e a tomada de decisões no tratamento dessas lesões. O presente estudo teve como objetivo primário avaliar o impacto da tomografia computadorizada na concordância inter e intraobservador da classificação de Schatzker. Além disso, procurou-se avaliar o impacto da tomografia computadorizada na tomada de decisões a respeito da via de acesso cirúrgico ao planalto tibial, utilizando para esta análise a classificação de Schatzker modificada por Kfuri. Um banco de dados com imagens de 70 pacientes, incluindo radiografias, tomografia computadorizada e reconstruções tridimensionais computadorizadas foi oferecido a um grupo de 10 observadores para análise. Como resultados, observou-se que a classificação de Schatzker apresentou coeficiente de concordância moderado, quando baseado no uso de radiografias (k=0,58), e substancial quando esta análise foi complementada por tomografia (k=0,62/0,64). A nova classificação de Schatzker modificada por Kfuri obteve nível moderado de concordância interobservador (k=0,53) e substancial intraobservador (k=0,63). A tomografia computadorizada, elemento básico da nova classificação, influenciou decisivamente os cirurgiões a mudarem a opção pela via de acesso cirúrgico, especialmente em fraturas com orientação no plano coronal. Como conclusão, verificou-se que a classificação de Schatzker modificada por Kfuri demonstrou substancial índice de concordância intraobservador e moderado índice de concordância intraobservador, e devem ser úteis para a prática clínica.
Tibial plateau fractures are lesions with a varied spectrum of clinical presentation. Several classification systems have been developed to facilitate the understanding and decision making in the treatment of these injuries. The present study aimed to evaluate the impact of computerized tomography on the inter and intraobserver correlation of the Schatzker classification. In addition, we sought to evaluate the impact of the computed tomography in the decision making regarding the surgical approaches to the tibial plateau, using the Schatzker classification modified by Kfuri for this analysis. A database of 70 patient images, including radiographs, computerized tomography, and computerized three-dimensional reconstructions were offered to a group of 10 observers for analysis. As a result we observed that the Schatzker classification presents a moderate agreement when based on radiographs (k=0,58) and substantial when this analysis is complemented by tomography (k=0,62/0,64). The new Schatzker classification modified by Kfuri has a moderate level of interobserver agreement (k=0,53) and substantial intraobserver agreement (k=0,63). Computerized tomography, a basic element of the new classification, decisively influenced surgeons to change the option for surgical access, especially in fractures with orientation in the coronal plane. In conclusion, the Schatzker classification modified by Kfuri have a substantial intraobserver and moderate interobserver correlation, and should be useful for clinical practice.
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Wadsten, Mats. "Distal Radius Fractures : aspects on radiological and clinical outcome and evaluation of a new classification system." Doctoral thesis, Umeå universitet, Institutionen för kirurgisk och perioperativ vetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-118544.

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Distal radius fracture (DRF) is the most common fracture encountered in clinical practice. Every year, more than 20000 people in Sweden suffer from this injury. It has been shown that there is a correlation between malalignment and function following distal radial fractures and malunion may cause persistent pain and disability. A problem has been in making a correct initial assessment of the fracture. Many fractures are unstable despite an acceptable position on the initial radiographic examination or following a successful closed fracture reduction. Numerous classification systems have been developed for evaluation of DRF in order to predict the outcome. However, the values of these are limited since they have not shown satisfactory reliability. Furthermore, the utility of these systems to predict radiographic or clinical outcome is not yet proven. These shortcomings may be one reason why optimal DRF management is still controversial. Requests for a new classification system of DRF, predictive of outcome and easy to use, have been made. Improvement in initial assessment of DRF will benefit a large group of patients, as well as the society, by reducing persistent symptoms and disability. Study I: In this study we evaluated the interobserver and intraobserver reliability of a new classification system (the Buttazzoni classification). Two hundred and thirty-two patients with acute DRF were blindly evaluated using the new classification by three orthopaedic surgeons twice with a 1-year interval. The new classification showed fair to substantial interobserver and intraobserver reliability, i.e., results comparable with other commonly used classification systems. Study II: This was a prospective multicenter study of fracture stability in 428 DRF. The study investigated whether cortical comminution and intra-articular involvement, as well as the new classification system, could predict displacement in DRF. Logistic regression analysis showed that initial position of the fracture and volar or dorsal comminution predicted later displacement, while intra-articular involvement did not. Volar comminution was the strongest predictor of displacement. The new classification system, which is the first to include volar comminution as a separate parameter, was highly predictive of fracture instability. Furthermore we found that it is quite common for non-operatively treated fractures to displace at a later stage than two weeks. Study IV: In study II it was found that late displacement of DRF, still in acceptable radiologic position after 10-14 days, occurred in approximately 1/3 of cases. Despite this, we have not been able to find any study focusing on evaluating the clinical outcome in patients with late displacement. Two hundred and nine unilateral DRF from study II were still in good position after 10-14 days and were included in the study. One hundred and seventy five patients had radiographs taken at a minimum of 3 months and a clinical examination 1 year after the fracture. Late displaced distal radius fractures had significantly higher loss of ROM and grip strength compared to fractures that didn’t displace. No significant differences were seen in subjective outcome. In conclusion, initial position of the fracture predicted later displacement and was the most important parameter in predicting clinical outcome. Comminution of the fracture also affected radiological stability and clinical outcome. Volar comminuted fractures are highly unstable and need surgical intervention if displacement is to be avoided. Intra-articular involvement affected clinical outcome. Late displacement is common in DRF and may result in loss of range of motion and grip strength. To detect late displacement, DRF should be followed for more than 2 weeks. The new classification system had a moderate reliability and reproducibility. The classification was found predictive of radiologic and objective clinical outcome. However, it was not predictive of subjective outcome. The classification system was also predictive of fractures at risk for late displacement.
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Ahrberg, Annette B., and Johannes K. M. Fakler. "Missed foot fractures in polytrauma patients." Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-137137.

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BACKGROUND: Missed foot fractures are a known problem in the care of the traumatized patient. They do not usually have an influence on the survival, but on the long-term result and the quality of the patient's life. The aim of this study is to find out how many of these fractures are overlooked in a Level I trauma center and what the consequences for the patients are hypothesing that patients with a delayed diagnosis will have worse clinical results. METHODS: Forty-seven patients (7.3%) with foot fractures could be identified in 642 polytrauma patients, retrospectively. All patients were divided into two groups: early diagnosed fractures and delayed diagnosed fractures, the latter defined as diagnosed after Secondary Survey. Patients were evaluated according to the Hannover Outcome Score, the Short Form-36 Health Survey, the AOFAS Score and the Hannover Scoring System. The average follow-up was 5 years and 8 months. Reasons for overlooking a foot fracture were analyzed. RESULTS: The foot fracture was early diagnosed in 26 (55.3%) patients, but delayed in 21 (44.7%). There were no significant differences in the mean stay in the hospital or in the ICU. The fractures that were most often missed were those of the cuboid or the metarsalia. The highest risk factor for a delayed diagnosis was a fracture already diagnosed on the same foot. In 52.4% of the delayed diagosed fractures, an operative therapy was necessary. There were no significant differences between the two groups in the clinical results. CONCLUSIONS: In summary, the results of this study show that foot injuries can be a safety problem for the patient and the examination of the feet in the trauma room has to be a compulsory part of the algorithm. Although the majority of delayed diagnosed foot fractures demonstrated comparable results to the immediately diagnosed fractures, approximately 10% might have benefited from an earlier diagnosis. Even if there were no significant differences in the clinical results, we have to be aware that missing a fracture in the foot can lead to worse results in the complete polytrauma care.
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Books on the topic "Fracture classification"

1

Gustilo, Ramon B. The fracture classification manual. St. Louis: Mosby Year Book, 1991.

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Fracture classifications in clinical practice. London: Springer, 2006.

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Heim, Urs. The pilon tibial fracture: Classification, surgical techniques, results. Philadelphia: W.B. Saunders, 1995.

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Müller, Maurice E., Serge Nazarian, and Peter Koch. Classification AO des fractures. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-662-06263-0.

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Mostofi, Seyed Behrooz. Fracture Classifications in Clinical Practice 2nd Edition. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4420-5.

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Müller, Maurice E., Peter Koch, Serge Nazarian, and Joseph Schatzker. The Comprehensive Classification of Fractures of Long Bones. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-61261-9.

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The comprehensive classification of fractures of long bones. Berlin: Springer-Verlag, 1990.

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Müller-Mai, Christian M. Frakturen: Klassifikation und Behandlungsoptionen. Berlin: Springer, 2010.

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Schenck, Robert C. Hard facts in orthopaedics. St. Louis, Mo: Quality Medical Pub., Inc., 1993.

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DeCoster, Thomas A. Fracture classification. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199550647.003.012001.

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♦ The 2007 OTA Comprehensive Classification of Fractures and Dislocations is recommended as the standard for fracture classification♦ Practitioners should be aware of the limited reliability and reproducibility of fracture classifications.
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Book chapters on the topic "Fracture classification"

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Rawlings, Ron H., Andrew Shaw, Howard R. Champion, Lena M. Napolitano, Ben Singer, Andrew Rhodes, Maurizio Cecconi, et al. "Fracture Classification." In Encyclopedia of Intensive Care Medicine, 950–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-00418-6_415.

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Wang, Dan, and Guoxian Pei. "Digital Fracture Classification." In Digital Orthopedics, 165–230. Dordrecht: Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-024-1076-1_11.

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Dhupar, Vikas. "Fracture of the Mandibular Condyle." In Oral and Maxillofacial Surgery for the Clinician, 1085–114. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-1346-6_53.

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AbstractCondylar fractures of the mandible have intrigued surgeons for decades. This is because of many reasons which have ranged from difficulty in evaluating to managing condylar fractures which have always courted controversies. There has been an attempt to classify condylar fractures from the mid nineteenth century. During early times most of the classifications were focused on purpose of locating the fracture rather than on treatment. As radiological imagery evolved condylar fractures are better understood and have resulted in a different approach to their management. This resulted in a change of classification systems which are focused on management. At the same time a better understanding of the various approaches to the condylar region along with the improvement of armamentarium has resulted in the shift of management of condylar fractures which at one time was closed to open reduction and fixation. In this chapter the focus is on various classifications systems, evaluation of the patient, management and outcome with various modalities of treatment.
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Kuna, Meinhard. "Classification of Fracture Processes." In Solid Mechanics and Its Applications, 13–20. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6680-8_2.

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Zhang, Yingze, and Yanbin Zhu. "Classifications of Patellar Fracture." In Clinical Classification in Orthopaedics Trauma, 437–50. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6044-1_9.

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Zhang, Yingze, and Liang Shi. "Fracture and Dislocation Classification for Children." In Clinical Classification in Orthopaedics Trauma, 639–704. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6044-1_14.

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Zhang, Yingze, and Zhiyong Hou. "Classification of Pelvic Ring Fracture and Dislocation." In Clinical Classification in Orthopaedics Trauma, 323–65. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6044-1_7.

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Griffith, James F., Judith E. Adams, and Harry K. Genant. "Diagnosis and Classification of Vertebral Fracture." In Primer on the Metabolic Bone Diseases and Disorders of Mineral Metabolism, 317–35. Ames, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118453926.ch37.

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Levitsky, Matthew M., Roshan P. Shah, and Alexander L. Neuwirth. "Initial Workup, Diagnosis, and Fracture Classification for Geriatric Hip Fractures." In Geriatric Hip Fractures, 7–14. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78969-5_2.

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Jiménez-Sánchez, Amelia, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel A. González Ballester, and Gemma Piella. "Medical-based Deep Curriculum Learning for Improved Fracture Classification." In Lecture Notes in Computer Science, 694–702. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32226-7_77.

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Conference papers on the topic "Fracture classification"

1

de Bruijne, Marleen, Paola C. Pettersen, László B. Tankó, and Mads Nielsen. "Vertebral fracture classification." In Medical Imaging, edited by Josien P. W. Pluim and Joseph M. Reinhardt. SPIE, 2007. http://dx.doi.org/10.1117/12.706268.

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Funk, Michael W., Essam A. El-Kwae, and James F. Kellam. "Toward automated bone fracture classification." In Medical Imaging 2001, edited by Milan Sonka and Kenneth M. Hanson. SPIE, 2001. http://dx.doi.org/10.1117/12.431154.

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Damien, Pascal, Ralph Bou Nader, Charles Yaacoub, and Jean-Claude Lahoud. "Iliopectineal Line Fracture Detection for Computer-Aided Acetabular Fracture Classification." In 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2019. http://dx.doi.org/10.1109/ipta.2019.8936080.

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Wei, Zheng, Ma Na, Sun Huisheng, and Fan Hongqi. "Feature Extraction of X-ray Fracture Image and Fracture Classification." In 2009 International Conference on Artificial Intelligence and Computational Intelligence. IEEE, 2009. http://dx.doi.org/10.1109/aici.2009.40.

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Chittajallu, Sai Manvitha, Navya Lakshmi Deepthi Mandalaneni, Dhanush Parasa, and Shahana Bano. "Classification of Binary Fracture Using CNN." In 2019 Global Conference for Advancement in Technology (GCAT). IEEE, 2019. http://dx.doi.org/10.1109/gcat47503.2019.8978468.

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Gui-Rong Weng. "Image processing and classification of metal fracture surface." In 2008 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2008. http://dx.doi.org/10.1109/icwapr.2008.4635769.

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Sato, Motoyuki, and Moriyasu Takeshita. "Polarimetric borehole radar approach to subsurface fracture classification." In 8th International Conference on Ground Penetrating Radar, edited by David A. Noon, Glen F. Stickley, and Dennis Longstaff. SPIE, 2000. http://dx.doi.org/10.1117/12.383479.

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Wang, Yinong, Jianhua Yao, Joseph E. Burns, and RonaldM Summers. "Osteoporotic and neoplastic compression fracture classification on longitudinal CT." In 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016). IEEE, 2016. http://dx.doi.org/10.1109/isbi.2016.7493477.

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Yadav, D. P., and Sandeep Rathor. "Bone Fracture Detection and Classification using Deep Learning Approach." In 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC). IEEE, 2020. http://dx.doi.org/10.1109/parc49193.2020.236611.

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Wang, F. W., W. G. Gao, C. W. Wang, Y. L. Li, and J. C. Cai. "Fracture and Vug Characterization and Carbonate Rock Classification in a Fractured-vuggy Carbonate Reservoir with CT." In 78th EAGE Conference and Exhibition 2016. Netherlands: EAGE Publications BV, 2016. http://dx.doi.org/10.3997/2214-4609.201600886.

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