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find Keyword "Fracture classification" 4 results
  • CLASSIFICATION AND TREATMENT OF MONTEGGIA EQUIVALENT FRACTURES IN CHILDREN

    Objective To investigate the classification and treatment of Monteggia equivalent fractures in children. Methods A retrospective analysis was made on the clinical data of 35 cases of Monteggia equivalent fractures between January 2008 and January 2012. There were 17 boys and 18 girls with an average age of 7 years and 5 months (range, 1 year and 2 months to 14 years and 11 months). The causes of injury were tumbling injury in 25 cases, falling injury in 3 cases, and sport injury in 7 cases. The disease duration from injuries to admission ranged from 1 hour to 16 days (median, 28 hours). According to the criteria of self-made classification, there were 22 cases of type I (ulnar fracture with radial neck fracture or proximal radial epiphysis injury), 2 cases of type II (posterior elbow dislocation with radial neck fracture or proximal radial epiphysis injury), 10 cases of type III (ulnar fracture and/or olecranon fracture with humeral lateral condylar fracture), and 1 case of type IV (fractures of radius and ulna with radial neck fracture or proximal radial epiphysis injury). All patients were treated by open reduction and internal fixation/external fixation. Results All incisions healed by first intention without infection. Thirty-four cases were followed up 14 months on average (range, 12-18 months). All fractures healed at 2.5 months on average (range, 6 weeks to 5 months). According to Hospital for Special Surgery (HSS) score system, the results were excellent in 29 cases, good in 4 cases, and fair in 2 cases, with an excellent and good rate of 94%. No cubit varus/valgus or delayed ulnar nerve injury was observed. Conclusion New self-made classification is simple and easy to remember, and it is helpful to reduce omission diagnose rate and select therapeutic methods. Surgery is an effective method to treat Monteggia equivalent fractures.

    Release date:2016-08-31 04:05 Export PDF Favorites Scan
  • ANALYSIS OF SPINAL INJURIES IN WENCHUAN EARTHQUAKE

    Objective To analyze the spinal injury in Wenchuan earthquake and to investigate its cl inical features. Methods Data of 146 patients in Wenchuan earthquake with spinal injuries (79 males, 67 females; aged 11-88 years old, average 51 years old) were collected and analyzed epidemiologically. Two patients under 16 years of age, 15 patients withthe fractures of spinous process, transverse process or vertebra lamina, 1 patient with spinal fractures of type A2 according to AO classification but no corresponding type in Denis classification, and 9 patients with upper cervical injuries were excluded. The remaining 119 patients were divided into two groups according to their age: group A in which 78 patients were under 60 years of age, including 40 males and 38 females aged 18-58 years old (average 41 years old), and group B in which 41 patients were 60 years of age or above, including 24 males and 17 females aged 60-88 years old (average 71 years old). Analyses for the two groups were compared. Results The leading causes of spinal injuries were fall from high places (27.40%) and crush by heavy objects (67.81%). According to Denis classification, the major types of spinal injuries were burst fracture (54.62%) and compression fracture (33.61%). Serious nerve injury, defined as grade A, B and C in ASIA neurological function assessment, occurred in 31.51% of patients. The most common injured site was in thoracic or lumbar vertebrae (78.77%), and 52.74% of patients had combined injuries, among which the fractures of l imb (30.14%) and rib (19.86%) were the most common. Multilevel spinal fractures happened to 22.60% of patients. Comparative analysis revealed the rate of injury caused by fall from high places in group A (34.62%) was much higher than that in group B (12.20%). The commonest type of fracture in group A was burst fracture (58.97%), and it was compression fracture in group B (48.78%). The rate of serious nerve injury in group B (24.39%) was much lower than that in group A (44.87%). The rate of combined injury and multilevel vertebral body injury in group B was 70.73% and 39.02%, respectively, which was much higher than that in group A (combined injury 43.59%; multilevel vertebral body injury 21.79%). There were significant differences between two groups in all the indicators derived from cl inical data (P lt; 0.05). Conclusion In Wenchuan earthquake, the leading causes of spinal injuries are fall from high places and crush by heavy objects, the major types of fracture are compression fracture and burst fracture, and the occurrence rates of spinal injury, combined injury and multilevel vertebral body injury are high.

    Release date:2016-09-01 09:05 Export PDF Favorites Scan
  • Establishment and test of intelligent classification method of thoracolumbar fractures based on machine vision

    Objective To develop a deep learning system for CT images to assist in the diagnosis of thoracolumbar fractures and analyze the feasibility of its clinical application. Methods Collected from West China Hospital of Sichuan University from January 2019 to March 2020, a total of 1256 CT images of thoracolumbar fractures were annotated with a unified standard through the Imaging LabelImg system. All CT images were classified according to the AO Spine thoracolumbar spine injury classification. The deep learning system in diagnosing ABC fracture types was optimized using 1039 CT images for training and validation, of which 1004 were used as the training set and 35 as the validation set; the rest 217 CT images were used as the test set to compare the deep learning system with the clinician’s diagnosis. The deep learning system in subtyping A was optimized using 581 CT images for training and validation, of which 556 were used as the training set and 25 as the validation set; the rest 104 CT images were used as the test set to compare the deep learning system with the clinician’s diagnosis. Results The accuracy and Kappa coefficient of the deep learning system in diagnosing ABC fracture types were 89.4% and 0.849 (P<0.001), respectively. The accuracy and Kappa coefficient of subtyping A were 87.5% and 0.817 (P<0.001), respectively. Conclusions The classification accuracy of the deep learning system for thoracolumbar fractures is high. This approach can be used to assist in the intelligent diagnosis of CT images of thoracolumbar fractures and improve the current manual and complex diagnostic process.

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  • Proposal of a novel comprehensive classification for femoral intertrochanteric fractures

    Objective To introduce a novel comprehensive classification for femoral intertrochanteric fractures, and to accommodate the clinical requirement for the world-wide outbreak of geriatric hip fractures and surgical operations. Methods On the basis of reviewing the history of classification of femoral intertrochanteric fractures and analyzing the advantages and disadvantages of AO/Orthopaedic Trauma Association (AO/OTA) classification in different periods, combined with the current situation of extensive preoperative CT scan and three-dimensional reconstruction and widespread use of intramedullary nail fixation in China, the “Elderly Hip Fracture” Research Group of the Reparative and Reconstructive Surgery Committee of the Chinese Rehabilitation Medical Association proposed a novel comprehensive classification for femoral intertrochanteric fractures, focusing on the structure of fracture stability reconstruction during internal fixation. Results The novel comprehensive classification of femoral intertrochanteric fractures incorporates multiple indicators of fracture classification, including the orientation of the fracture line, the degree of fracture fragmentation, the lesser trochanteric bone fragment and its distal extension length (>2 cm), the posterior coronal bone fragment and its anterior extension width (involving the lateral cortex of the head and neck implant entry point), transverse fracture of the lateral and anterior wall and its relationship with the implant entry point in the head and neck, and whether the cortex of the anteromedial inferior corner can be directly reduced to contact, etc. The femoral intertrochanteric fractures are divided into 4 types (type A1 is simple two-part fractures, type A2 is characterized by lesser trochanter fragment and posterior coronal fractures, type A3 is reverse obliquity and transverse fractures, type A4 is medial comminution which lacks anteromedial cortex transmission of compression force), each of which is subdivided into 4 subtypes and further subdivide into finer subgroups. In a review of 550 trochanteric hip fracture cases by three-dimensional CT, type A1 accounted for 20.0%, type A2 for 62.5%, type A3 for 15.5%, and type A4 for 2.0%, respectively. For subtypes, A2.2 is with a “banana-like” posterior coronal fragment, A2.4 is with distal cortex extension >2 cm of the lesser trochanter and anterior cortical expansion of the posterior coronal fragment to the entry portal of head-neck implants, A3.4 is a primary pantrochanteric fracture, and A4.4 is a concomitant ipsilateral segmental fracture of the neck and trochanter region. ConclusionThe novel comprehensive classification of femoral intertrochanteric fractures can describe the morphological characteristics of fractures in more detail, include more rare and complex types, provide more personalized subtype selection, and adapt to the clinical needs of both fractures and surgeries.

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