METHODS: A 10-year-old, postmenarchal girl presented to the emergency department with a closed, displaced, intercondylar T-type distal humerus fracture. Open reduction and internal fixation was performed 3 days following initial presentation. The patient healed but experienced elbow stiffness in the 7 months following the procedure. Implant removal and capsular release were performed at that time. At the 31-month follow-up, the patient reported satisfactory elbow functionality.
CONCLUSIONS: There is limited literature available discussing optimal management and associated outcomes of intercondylar T-type distal humerus fractures in the young-adolescent population. This report presents a possible method for management of the initial injury and the most common associated complication.

The goal of this article was to review studies on distal humerus fracture plates (DHFPs) to understand the biomechanical influence of systematically changing the plate or screw variables. The problem is that DHFPs are commonly used surgically, although complications can still occur, and it is unclear if implant configurations are always optimized using biomechanical criteria. A systematic search of the PubMed database was conducted to identify English-language biomechanical optimization studies of DHFPs that parametrically altered plate and/or screw variables to analyze their influence on engineering performance. Intraarticular and extraarticular fracture (EAF) data were separated and organized under commonly used biomechanical outcome metrics. The results identified 52 eligible DHFP studies, which evaluated various plate and screw variables. The most common plate variables evaluated were geometry, hole type, number, and position. Fewer studies assessed screw variables, with number and angle being the most common. However, no studies examined nonmetallic materials for plates or screws, which may be of interest in future research. Also, articles used various combinations of biomechanical outcome metrics, such as interfragmentary fracture motion, bone, plate, or screw stress, number of loading cycles to failure, and overall stiffness (Os) or failure strength (Fs). However, no study evaluated the bone stress under the plate to examine bone \"stress shielding,\" which may impact bone health clinically. Surgeons treating intraarticular and extraarticular distal humerus fractures should seriously consider two precontoured, long, thick, locked, and parallel plates that are secured by long, thick, and plate-to-plate screws that are located at staggered levels along the proximal parts of the plates, as well as an extra transfracture plate screw. Also, research engineers could improve new studies by perusing recommendations in future work (e.g., studying alternative nonmetallic materials or \"stress shielding\"), clinical ramifications (e.g., benefits of locked plates), and study quality (e.g., experimental validation of computational studies).

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Transphyseal fractures of the distal humerus are usually seen in children younger than 3 years of age and are considered as Salter-Harris Type I epiphysiolysis. Neonatal transphyseal distal humerus injuries are extremely rare. It usually occurs due to trauma during difficult labour but can also be seen after child abuse. Since the distal humerus is composed of cartilaginous tissue in newborns, it is difficult to make a diagnosis with direct radiography. Patients are often diagnosed with elbow dislocation. However, elbow dislocation is almost never seen under the age of 3 years. Transphyseal fractures can be seen as a result of manoeuvres performed to deliver the baby during difficult normal delivery. Transphyseal humeral injuries can also be seen after caesarean section, child abuse and falling on the hyperextended arm. Clinical symptoms include pain, swelling, ecchymosis and crepitation at the elbow. Pseudoparalysis is present due to pain. In children with a history of difficult birth or trauma, evaluation with direct radiography should be performed initially. Radiocapitellar line is distorted on radiographs and the elbow joint appears subluxated. The treatment algorithm for transfusional humeral fractures in neonates is varied. It should be remembered that patients in this age group have a tremendous healing capacity. In conservative treatment, 2-4 weeks of follow-up with a long-arm splint after reduction is sufficient. In addition, closed reduction-internal fixation or open reduction-internal fixation can be applied according to the amount of displacement of the fracture. Cubitus varus, osteonecrosis, growth disturbance, decreased range of motion, compartment syndrome, neurovascular injury and infection are the main complications seen after transfusional humeral fractures.

OBJECTIVE: To compare screw versus Kirschner wire fixation in the treatment of lateral humeral condyle fractures in children.
METHODS: A systematic search was conducted in PubMed, Embase, the Cochrane library, Web of Science, China National Knowledge Internet(CNKI), Wanfang Datebase from in ception to February 2022. Studies comparing screws and Kirschner wire fixation in the treatment of lateral humeral condyle fractures in children were included. Outcome measures included and excluded by a set of inclusion and exclusion criteria and evaluated for their quality, their excellent and good rate of fracture healing, malunion, delayed union or nonunion, infection, limitation of elbow flexion or extension(>10°) were extracted and analyzed using software Rev Man 5.3.
RESULTS: A total of 9 retrospective studies involving 647 patients were included, with 255 patients in the screw fixation group(including screw combined with Kirschner wire) and 392 patients in the Kirschner wire fixation group. Meta analysis showed the following:infection rate in the screw group was significantly lower than that in the Kirschner wire group[OR=0.22, 95%CI(0.09, 0.56), P=0.001]. There were no significant differences between the 2 groups in excellent and good rate of fracture healing, malunion rate(P>0.05). Subgroup analysis showed that infection rate in the screw-only group was significantly lower than that in the Kirschner wire group[OR=0.18, 95%CI(0.05, 0.65), P=0.009].
CONCLUSIONS: For lateral humeral condyle fractures, Screw fixation alone had a lower infection rate than kirschner wire fixation and screw combined with Kirschner wire fixation. There were no significant differences in the excellent and good rate of fracture healing, malunion. In terms of postoperative efficacy and safety of internal fixation, orthopaedic surgeons are more likely to recommend screws for fixation of lateral humeral condyle fractures in children.

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METHODS: We report a single case of a closed intra-articular distal humerus fracture in a 28-year-old man with a preexisting fishtail deformity characterized by concavity of the central trochlea and corresponding deformity of the olecranon. The patient was treated with open reduction and internal fixation.
CONCLUSIONS: The case highlights the diagnosis and challenges of treatment. Conventional fixation choices and imaging techniques may need to be altered when treating a fracture with this deformity.

Intra-articular distal humerus fractures present various challenges with a wide array of treatment options. Open reduction internal fixation remains the treatment of choice. In older patient populations with poor bone quality and short-end segment fractures with articular comminution, open reduction internal fixation, however, may bring on unsurmountable technical challenges. Total elbow arthroplasty and elbow hemiarthroplasty (EHA) may offer superior functional outcomes in these cases. During EHA for fractures, the medial and lateral columns are reconstructed with the collateral ligaments to restore elbow stability. We hypothesize that in coronal sheer fracture patterns where the columns are intact, maintaining the native collateral ligaments and columns will provide both an anatomic and stable elbow joint. We introduce the ligament sparing EHA technique for unreconstructible coronal shear fractures. We describe this novel technique and compare our postoperative outcomes in 2 patients who underwent this surgery to those described in the literature. The postoperative Disabilities of the Arm, Shoulder, and Hand scores for the 2 patients were 13.8 and 10.3, respectively. The Mayo Elbow Performance Score for the 2 patients were 80 and 85, respectively. The operative arm presented a grip strength of 82% and 89% when compared with the contralateral arm, for the patients respectively. The range of motion varied between 78% and 100% of the contralateral arm for both patients. Although our results are promising and the ligament sparing EHA technique may be a more anatomic option in certain fracture patterns, further research with larger cohorts and multiple surgeons is needed to reinforce our results.

OBJECTIVE: AI has shown promise in automating and improving various tasks, including medical image analysis. Distal humerus fractures are a critical clinical concern that requires early diagnosis and treatment to avoid complications. The standard diagnostic method involves X-ray imaging, but subtle fractures can be missed, leading to delayed or incorrect diagnoses. Deep learning, a subset of artificial intelligence, has demonstrated the ability to automate medical image analysis tasks, potentially improving fracture identification accuracy and reducing the need for additional and cost-intensive imaging modalities (Schwarz et al. 2023). This study aims to develop a deep learning-based diagnostic support system for distal humerus fractures using conventional X-ray images. The primary objective of this study is to determine whether deep learning can provide reliable image-based fracture detection recommendations for distal humerus fractures.
METHODS: Between March 2017 and March 2022, our tertiary hospital\'s PACS data were evaluated for conventional radiography images of the anteroposterior (AP) and lateral elbow for suspected traumatic distal humerus fractures. The data set consisted of 4931 images of patients seven years and older, after excluding paediatric images below seven years due to the absence of ossification centres. Two senior orthopaedic surgeons with 12 + years of experience reviewed and labelled the images as fractured or normal. The data set was split into training sets (79.88%) and validation tests (20.1%). Image pre-processing was performed by cropping the images to 224 × 224 pixels around the capitellum, and the deep learning algorithm architecture used was ResNet18.
RESULTS: The deep learning model demonstrated an accuracy of 69.14% in the validation test set, with a specificity of 95.89% and a positive predictive value (PPV) of 99.47%. However, the sensitivity was 61.49%, indicating that the model had a relatively high false negative rate. ROC analysis showed an AUC of 0.787 when deep learning AI was the reference and an AUC of 0.580 when the most senior orthopaedic surgeon was the reference. The performance of the model was compared with that of other orthopaedic surgeons of varying experience levels, showing varying levels of diagnostic precision.
CONCLUSIONS: The developed deep learning-based diagnostic support system shows potential for accurately diagnosing distal humerus fractures using AP and lateral elbow radiographs. The model\'s specificity and PPV indicate its ability to mark out occult lesions and has a high false positive rate. Further research and validation are necessary to improve the sensitivity and diagnostic accuracy of the model for practical clinical implementation.