How frequently MRI modifies thoracolumbar fractures' classification or decision-making? A systematic review and meta-analysis.

PURPOSE: To provide the first meta-analysis of the impact of magnetic resonance imaging (MRI) on thoracolumbar fractures (TLFs) classification and decision-making. METHODS: A systematic review was conducted following PRISMA guidelines. We searched PubMed, Scopus, Cochrane, and Web of Science from inception to June 30, 2023 for studies evaluating the change in TLFs classification and treatment decisions after MRI. The studies extracted key findings, objectives, and patient population. A meta-analysis was performed for the pooled frequency of change in AO fracture classification or treatment decisions from surgical to conservative or vice versa after MRI. RESULTS: This meta-analysis included four studies comprising 554 patients. The pooled frequency of change in TLFs classification was 17% (95% CI 9-31%), and treatment decision was 22% (95% CI 11-40%). An upgrade from type A to type B was reported in 15.7% (95% CI 7.2-30.6%), and downgrading type B to type A in 1.2% (95% CI 0.17-8.3%). A change from conservative to surgery recommendation of 17% (95% CI 5.0-43%) was higher than a change from surgery to conservative 2% (95% CI 1-34%). CONCLUSIONS: MRI can significantly change the thoracolumbar classification and decision-making, primarily due to upgrading type A to type B fractures and changing from conservative to surgery, respectively. These findings suggest that MRI could change decision-making sufficiently to justify its use for TLFs. Type A subtypes, indeterminate PLC status, and spine regions might help to predict a change in TLFs' classification. However, more studies are needed to confirm the association of these variables with changes in treatment decisions to set the indications of MRI in neurologically intact patients with TLFs. An interactive version of our analysis can be accessed from here: https://databoard.shinyapps.io/mri_spine/ .

The Kappa Paradox Explained.

Observer reliability studies for fracture classification systems evaluate agreement using Cohen's κ and absolute agreement as outcome measures. Cohen's κ is a chance-corrected measure of agreement and can range between 0 (no agreement) and 1 (perfect agreement). Absolute agreement is the percentage of times observers agree on the matter they have to rate. Some studies report a high-absolute agreement but a relatively low κ value, which is counterintuitive. This phenomenon is referred to as the Kappa Paradox. The objective of this article was to explain the statistical phenomenon of the Kappa Paradox and to help readers and researchers to recognize and prevent this phenomenon.

YOLOX-SwinT algorithm improves the accuracy of AO/OTA classification of intertrochanteric fractures by orthopedic trauma surgeons.

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS) 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION: In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.

m2ABQ-a proposed refinement of the modified algorithm-based qualitative classification of osteoporotic vertebral fractures.

Currently, there is no reproducible, widely accepted gold standard to classify osteoporotic vertebral body fractures (OVFs). The purpose of this study is to refine a method with clear rules to classify OVFs for machine learning purposes. The method was found to have moderate interobserver agreement that improved with training. INTRODUCTION: The current methods to classify osteoporotic vertebral body fractures are considered ambiguous; there is no reproducible, accepted gold standard. The purpose of this study is to refine classification methodology by introducing clear, unambiguous rules and a refined flowchart to allow consistent classification of osteoporotic vertebral body fractures. METHODS: We developed a set of rules and refinements that we called m2ABQ to classify vertebrae into five categories. A fracture-enriched database of thoracic and lumbar spine radiographs of patients 65 years of age and older was retrospectively obtained from clinical institutional radiology records using natural language processing. Five raters independently classified each vertebral body using the m2ABQ system. After each annotation round, consensus sessions that included all raters were held to discuss and finalize a consensus annotation for each vertebral body where individual raters' evaluations differed. This process led to further refinement and development of the rules. RESULTS: Each annotation round showed increase in Fleiss kappa both for presence vs absence of fracture 0.62 (0.56-0.68) to 0.70 (0.65-0.75), as well as for the whole m2ABQ scale 0.29 (0.25-0.33) to 0.54 (0.51-0.58). CONCLUSION: The m2ABQ system demonstrates moderate interobserver agreement and practical feasibility for classifying osteoporotic vertebral body fractures. Future studies to compare the method to existing studies are warranted, as well as further development of its use in machine learning purposes.

Predictors and characteristics of Rib fracture following SBRT for lung tumors.

BACKGROUND: The utilization of stereotactic body radiation therapy (SBRT) is increasing for primary and secondary lung neoplasms. Despite encouraging results, SBRT is associated with an increased risk of osteoradionecrosis-induced rib fracture. We aimed to (1) evaluate potential clinical, demographic, and procedure-related risk factors for rib fractures and (2) describe the radiographic features of post-SBRT rib fractures. METHODS: We retrospectively identified 106 patients who received SBRT between 2015 and 2018 for a primary or metastatic lung tumor with at least 12 months of follow up. Exclusion criteria were incomplete records, previous ipsilateral thoracic radiation, or relevant prior trauma. Computed tomography (CT) images were reviewed to identify and characterize rib fractures. Multivariate logistic regression modeling was employed to determine clinical, demographic, and procedural risk factors (e.g., age, sex, race, medical comorbidities, dosage, and tumor location). RESULTS: A total of 106 patients with 111 treated tumors met the inclusion criteria, 35 (32%) of whom developed at least one fractured rib (60 total fractured ribs). The highest number of fractured ribs per patient was five. Multivariate regression identified posterolateral tumor location as the only independent risk factor for rib fracture. On CT, fractures showed discontinuity between healing edges in 77% of affected patients. CONCLUSIONS: Nearly one third of patients receiving SBRT for lung tumors experienced rib fractures, 34% of whom experienced pain. Many patients developed multiple fractures. Post-SBRT fractures demonstrated a unique discontinuity between the healing edges of the rib, a distinct feature of post-SBRT rib fractures. The only independent predictor of rib fracture was tumor location along the posterolateral chest wall. Given its increasing frequency of use, describing the risk profile of SBRT is vital to ensure patient safety and adequately inform patient expectations.

Classifications of posterior malleolar fractures: a systematic literature review.

INTRODUCTION: Complex ankle fractures frequently involve the posterior malleolus. Many classifications describing posterior malleolar fractures (PMF) exist. The aim of this study was to provide a systematic literature review to outline existing PMF classifications and estimate their accuracy. METHODS: The databases PubMed and Scopus were searched without time limits. Only specific PMF classifications were included; general ankle and/or pilon fracture classifications were excluded. Selection and data extraction was performed by three independent observers. The systematic literature search was performed according to the current criteria of Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA). The methodological quality of the included studies was quantified using the modified Coleman score. RESULTS: A total of 110 studies with a total of 12.614 patients were included. Four main classifications were identified: Those describing the size of the posterior malleolar fracture (n = 66), Haraguchi (n = 44), Bartonícek/Rammelt (n = 21) and Mason (n = 12). The quality of the studies was moderate to good with a median Coleman-score of 43.5 (14-79) and a weighted median Coleman-score of 42.5 points. All classifications achieved a substantial to perfect score regarding the inter- and intraobserver reliability, with Mason scoring the lowest in comparison. CONCLUSIONS: None of the reviewed PMF classifications has been able to establish itself decisively in the literature. Most of the classifications are insufficient in terms of a derivable treatment algorithm or a prognosis with regard to outcome. However, as the Bartonícek/Rammelt classification has the greatest potential due to its treatment algorithm, its reliability in combination with consistent predictive values, its usage in clinical practice and research appears advisable.

Two-staged management of ankle fracture-dislocations with a posterior fragment: computer-tomography-based classification, treatment and its outcome.

INTRODUCTION: Trimalleolar fractures are difficult to treat and malreduction can lead to functional impairment. Involvement of the posterior malleolus has a poor predictive value. Current computed-tomography (CT)-based fracture classifications led to an increase in fixation of the posterior malleolus. The aim of this study was to describe the functional outcome after a two-stage stabilisation with direct fixation of the posterior fragment in trimalleolar dislocation fractures. MATERIALS AND METHODS: In a retrospective study, all patients presenting with a trimalleolar dislocation fracture, an available CT scan, and a two-stage operative stabilisation including the posterior malleolus by a posterior approach were included. All fractures were treated with initial external fixator and delayed definitive stabilisation including fixation of the posterior malleolus. Next to clinical and radiological follow-up, outcome measures (Foot and Ankle Outcome Score (FAOS), Numeric Rating Scale (NRS), Activity of Daily Living (ADL), Hulsmans implant removal score) and complications were analysed. RESULTS: Between 2008 and 2019, of 320 trimalleolar dislocation fractures, 39 patients were included. Mean follow-up was 49 months (standard deviation (SD) 29.7, range 16-148). Mean age was 60 years (SD 15.3, 17-84) with 69% female patients. The mean FAOS was 93/100 (SD 9.7, 57-100), NRS 2 (interquartile range (IQR) 0-3) and ADL 2 (IQR 1-2). Four patients showed a postoperative infection, three re-operations had to be performed and implants were removed in 24 individuals. CONCLUSION: A two-stage procedure of trimalleolar dislocation fractures with in-direct reduction and fixation of the posterior tibial fragment through a posterior approach leads to good functional outcome scores with a low rate of complications.

Classification of rib fracture types from postmortem computed tomography images using deep learning.

Human or time resources can sometimes fall short in medical image diagnostics, and analyzing images in full detail can be a challenging task. With recent advances in artificial intelligence, an increasing number of systems have been developed to assist clinicians in their work. In this study, the objective was to train a model that can distinguish between various fracture types on different levels of hierarchical taxonomy and detect them on 2D-image representations of volumetric postmortem computed tomography (PMCT) data. We used a deep learning model based on the ResNet50 architecture that was pretrained on ImageNet data, and we used transfer learning to fine-tune it to our specific task. We trained our model to distinguish between "displaced," "nondisplaced," "ad latus," "ad longitudinem cum contractione," and "ad longitudinem cum distractione" fractures. Radiographs with no fractures were correctly predicted in 95-99% of cases. Nondisplaced fractures were correctly predicted in 80-86% of cases. Displaced fractures of the "ad latus" type were correctly predicted in 17-18% of cases. The other two displaced types of fractures, "ad longitudinem cum contractione" and "ad longitudinem cum distractione," were correctly predicted in 70-75% and 64-75% of cases, respectively. The model achieved the best performance when the level of hierarchical taxonomy was high, while it had more difficulties when the level of hierarchical taxonomy was lower. Overall, deep learning techniques constitute a reliable solution for forensic pathologists and medical practitioners seeking to reduce workload.

Validation of the modified AO sternum classification system.

INTRODUCTION: The Arbeitsgemeinschaft für Osteosynthesefragen (AO) foundation along with the Orthopaedic. Trauma Association (OTA) introduced a new classification for sternal fractures in 2018 aiming to provide greater uniformity and clinical utility for the surgical community. A previous validation study identified some critical issues such as the differentiation between type A and B fractures and localization of the fracture either in the manubrium or in the body. Due to the moderate agreement in inter- and intra-observer variability, some modifications were proposed in order to improve the performance of the classification. The aim of this study was to re-assess the inter- and intra-observer variability after adding modifications to the classification. Our hypothesis was that a significative improvement of inter- and intra-observer variability could be achieved. MATERIAL AND METHODS: Twenty computed tomography (CT) scans of patients with sternal fractures were analyzed by six. Junior and six senior surgeons independently. Two assessments were performed with an interval of 6 weeks. The kappa (K) value was calculated in order to assess inter- and intra-observer variability. RESULTS: The overall mean kappa value for inter-observer variability improved from 0.364 to 0.468 (p < 0.001). Inter-observer variability mean for location was 0.573 (SD 0.221) and for type was 0.441 (SD: 0.181). Intra-observer variability showed a mean of 0.703 (SD: 0.153) with a statistic significant improvement when compared to the previous study (mean 0.414, SD: 0.256, p < 0.001). CONCLUSIONS: By modifying the AO/OTA classification of sternal fractures, the inter- and intra-observer variability improved and now shows moderate to substantial agreement.

Acetabular fracture pattern is altered by pre-injury sacroiliac joint autofusion.

PURPOSE: Acetabular fracture shape is determined by the direction of force applied. We perceive an anecdotally observed connection between pre-existing autofused sacroiliac joints (aSIJ) and high anterior column (HAC) injuries. The purpose of this study was to compare variations in acetabular fracture patterns sustained in patients with and without pre-injury sacroiliac (SI) joint autofusion. METHODS: All adult patients receiving unilateral acetabular fixation (level 1 academic trauma; 2008-2018) were reviewed. Injury radiographs and CT scans were reviewed for fracture patterns and pre-existing aSIJ. Fracture types were subgrouped presence of HAC injury (includes anterior column (AC), anterior column posterior hemitransverse (ACPHT), or associated both column (ABC)). ANALYSIS: Logistic regression determined the association between aSIJ and HAC. RESULTS: A total of 371 patients received unilateral acetabular fixation (2008-2018); 61 (16%) demonstrated CT evidence of idiopathic aSIJ. These patients were older (64.1 vs. 47.4, p < 0.01), more likely to be male (95% vs. 71%, p < 0.01), less likely to be smokers (19.0% vs. 44.8%, p < 0.01), and were injured from lower energy mechanisms (21.3% vs. 8.4%, p = 0.01). The most common patterns with autofusion were ACPHT (n = 13, 21%) and ABC (n = 25, 41%). Autofusion was associated with greater odds of patterns involving a high anterior column injury (ABC, ACPHT, or isolated anterior column; OR = 4.97, p < 0.01). After adjusting for age, mechanism, and body mass index, the connection between autofusion and high anterior column injuries remained significant (OR = 2.60, p = 0.01). CONCLUSIONS: SI joint autofusion appears to change mode of failure in acetabular injuries; a more rigid posterior ring may precipitate a high anterior column injury. LEVEL OF EVIDENCE: Prognostic level III.

Novel classification system for periprosthetic distal femoral fractures: a consideration for comminution.

PURPOSE: Comminution is an aspect of periprosthetic distal femoral fractures (PDFFs) that can influence postoperative outcomes and treatment selection, but is not included in current classification systems. We propose a new classification system for PDFFs based on comminution and cortical reads. This study aims to prove its reliability and efficacy to predict fracture severity and guide treatment. METHODS: A retrospective chart review of patients treated with single or dual locking plates for PDFFs was performed. Two fellowship-trained orthopedic joint reconstruction specialists used available imaging to classify each PDFF as either type 1 (minimal or no comminution allowing for reconstruction of medial and lateral cortices), type 2 (comminution reasonably allowing for reconstruction of either medial or lateral cortex), and type 3 (extensive comminution not allowing reasonable reconstruction of medial or lateral cortex). Each PDFF was then analyzed for radiographic outcomes including lateral distal femoral angle (LDFA) and the posterior distal femoral angle (PDFA). RESULTS: Interobserver reliability assessed by Cohen's Kappa statistic was 0.707, and average intraobserver reliability was 0.843, showing substantial reliability. Type 3 PDFFs had greater varus deformity than type 1 (p = 0.0457) or 2 (0.0198). CONCLUSION: The proposed classification system accounts for comminution, demonstrates strong interobserver and intraobserver reliability, and can be used to guide treatment in regard to single versus dual plating. LEVEL OF EVIDENCE: Retrospective comparative study, Level IV.

Is magnetic resonance imaging needed for decision making diagnosis and treatment of thoracic and lumbar vertebral fractures?

PURPOSE: The radiological examination including plain radiography, CT and MRI are critical to assess the severity of the instability, to diagnose the fracture type and to select the appropriate treatment strategy for the thoracic and lumbar vertebral fractures. The aim of this prospective observational study was to investigate the effect of magnetic resonance imaging (MRI) on decision making for the diagnosis and treatment of acute thoracic and lumbar vertebral fractures. METHODS: Consecutive 180 patients with acute thoracic and/or lumbar vertebral fractures were included in the study. The fracture pattern was evaluated by using initial radiographs, computed tomography (CT) and MRI within 24 h of trauma. Fractures were classified according to AO classification before and after MRI. TLICS classification was also used to decide treatment plan. MRI findings were compared to surgical findings in the surgically treated patients. RESULTS: A significant moderate agreement was found between Xray + CT and post-MRI classifications for all fracture types (Kappa = 0.511; p < 0.001). In 101 patients with new findings on MRI, a significant moderate correlation was observed between Xray + CT and post-MRI classifications in the fracture re-classification (Kappa = 0.441, p < 0.001). There was a significant change in the treatment plan of patients with new findings on MRI according to Xray + CT (p < 0.0001). After MRI evaluation, the treatment plan changed in favor of surgery in 33.9% of patients who were scheduled for conservative treatment according to Xray + CT (p < 0.0001). CONCLUSION: Since MRI assessment of acute thoracic and/or lumbar injuries has led to a remarkable treatment change decision that confirms intraoperative findings of the patients who were decided to undergo surgery, MRI should be obtained in thoracic and lumbar vertebral fractures, regardless of the CT and plain radiographic findings. LEVEL OF EVIDENCE: Level II, prospective observational study.

Inter- and intraobserver reliabilities and critical analysis of the osteoporotic fracture classification of osteoporotic vertebral body fractures.

PURPOSE: The Osteoporotic Fracture Working Group (Spine Division of the German Orthopaedic and Trauma Society) has developed a classification system for osteoporotic thoracolumbar fractures, namely the osteoporotic fracture (OF) classification system. The purpose of this study was to determine the inter- and intraobserver reliabilities of the OF classification system for osteoporotic vertebral body fractures (VFs) at a level-one trauma centre. METHODS: Conventional radiography, magnetic resonance imaging (MRI), and computed tomography (CT) scans of 54 consecutive women who sustained an osteoporotic VF were analysed by six orthopaedic traumatologists with varying levels of experience. The inter- and intraobserver reliabilities of the OF classification system were determined using intraclass correlation coefficients (ICCs) and Cohen's kappa. RESULTS: The overall interobserver reliability of the OF classification system was good (ICC, 0.62 [0.51, 0.72]). The intraobserver reliability was found to be substantial (overall weighted Cohen's kappa estimate [95% confidence interval {CI}] = 0.74 [0.67, 0.80]) and better when the radiography, MRI, and CT scans were assessed together than when only the radiography and MRI scans were evaluated, although the difference was not significant. CONCLUSION: The OF classification system is easy to use. It shows good interobserver reliability and substantial intraobserver reliability if diagnostic prerequisites (conventional radiography, MRI, and CT scans) are met.

A Test Method for Finding Early Dynamic Fracture of Rock: Using DIC and YOLOv5.

Intelligent monitoring and early warning of rock mass failure is vital. To realize the early intelligent identification of dynamic fractures in the failure process of complex fractured rocks, 3D printing of the fracture network model was used to produce rock-like specimens containing 20 random joints. An algorithm for the early intelligent identification of dynamic fractures was proposed based on the YOLOv5 deep learning network model and DIC cloud. The results demonstrate an important relationship between the overall strength of the specimen with complex fractures and dynamic fracture propagation, and the overall specimen strength can be judged semi-quantitatively by counting dynamic fracture propagation. Before the initiation of each primary fracture, a strain concentration area appears, which indicates new fracture initiation. The dynamic evolution of primary fractures can be divided into four types: primary fractures, stress concentration areas, new fractures, and cross fractures. The cross fractures have the greatest impact on the overall strength of the specimen. The overall identification accuracy of the four types of fractures identified by the algorithm reached 88%, which shows that the method is fast, accurate, and effective for fracture identification and location, and classification of complex fractured rock masses.

Fracture line distribution in femoral head fractures: a complement to Pipkin, Brumback, and AO/OTA classifications.

PURPOSE: This study aimed to explore the fracture line distribution and validate fracture classifications of Femoral head fractures (FHFs). MATERIALS AND METHODS: A total of 209 FHFs were reviewed retrospectively. Subjects were classified by associated injuries and commonly used fracture classifications (Pipkin, Brumback, and AO/OTA), and the universality degree of classifications was evaluated. The fracture line directions were determined in the coronal and axial CT planes. 3D mapping analysis of fracture lines was performed separately by each group. 3D maps were employed to analyze the discrimination degree of inter-subtype classifications and create a new classification. The subjects were subsequently reclassified. Correlations between classifications were analyzed to determine the matching degree of the three classifications. RESULTS: The universality degrees were 98.6% (pipkin), 44.5% (Brumback), and 94.3% (AO/OTA). The cases of (100%) Brumback and (98.5%) AO/OTA can be classified by Pipkin. The mean angles of fracture lines to the coronal and axial axis of primary compressive trabeculae were 20.25° and 54.56°. The discrimination degrees of inter-subtype of classifications were 0 (Pipkin), 60% (Brumback), and 33% (AO/OTA). A new classification with three regions and five types was created on 3D maps. Pipkin and AO/OTA matched one region, while Brumback matched two regions. CONCLUSIONS: There were three distributed fracture regions in FHFs that mismatched Pipkin, Brumback, and AO/OTA classifications. The new classification, based on morphometric features of FHFs, could compensate for the shortcomings of commonly used classifications, improving their applicability in treating FHFs.

Evaluation of the orthopaedic trauma association open fracture classification (OTA-OFC) as an outcome prediction tool in open tibial shaft fractures.

INTRODUCTION: It was the goal of this study to determine if the Orthopaedic Trauma Association Open Fracture Classification (OTA-OFC) correlates with complication rates and to determine if it can be used as a predictive tool in the treatment of open tibial shaft fractures. MATERIALS AND METHODS: Retrospective review from two high-volume level 1 trauma centers of open tibial shaft fractures over a 5 year period. Variables of interest included OTA-OFC, type of wound closure, 90-day wound complication, unplanned re-operation, non-union, and amputation. RESULTS: 501 consecutive open tibial shaft fractures. 57.3% (n = 287) were closed primarily; local soft tissue advancement/rotational flap was used in 9.6% (n = 48); free soft tissue transfer used in 22.8% (n = 114); 8.6% (n = 43) required amputation. Of those followed for 90 days (n = 419), 45 (9.0%) had a wound complication, of which 40 (8%) required an unplanned reoperation. 40 (8.0%) patients went on to a documented non-union. All OTA-OFC classification groups significantly correlated with type of definitive closure (r = 0.18-0.81, p < 0.05) with OTA-OFC skin showing the strongest correlation (r = 0.81). OTA-OFC bone loss weakly correlated with wound complication (r = 0.12, p = 0.02) and no OTA-OFC classification correlated with the need for an unplanned secondary procedure. OTA-OFC skin, muscle and arterial all weakly correlated with non-union (r = 0.18-0.25, p < 0.05). OTA-OFC muscle was predictive of non-union (OR = OR = 2.2, 95% CI = 1.2-4.1) and amputation (OR 9.3, 95% CI = 3.7-23.7). OTA-OFC arterial was also predictive of amputation (OR 4.8, 95% CI = 2.5-9.3). CONCLUSIONS: The OTA-OFC correlates variably with the type of definitive closure, the development of a 90-day wound complication, and the occurrence of a non-union. Importantly, OTA-OFC muscle classification is predictive of non-union while both OTA-OFC muscle and arterial were predictive of amputation.

Standard radiographic assessments of distal radius fractures miss involvement of the distal radioulnar joint: a diagnostic study.

INTRODUCTION: Distal radius fractures account for one-fifth of all fractures in the emergency department. Their classification based on standard radiographs is common practice although low inter-observer reliabilities and superiority of computer tomography (CT) scanning in evaluation of joint congruency have been reported. MATERIALS AND METHODS: We retrospectively analyzed 96 displaced distal radius fractures scheduled for open reduction and internal fixation using standard radiographic assessment. The radiographs were classified with the Arbeitsgemeinschaft für Osteosynthesefragen/Orthopaedic Trauma Association (AO/OTA), Fernandez and Frykman classifications by three observers and inter-rater reliabilities were calculated. Additional CT scanning was performed in all cases and the following parameters were assessed: radiocarpal joint involvement, fracture extent into the radial sigmoid notch, i.e. the distal radio-ulnar joint, comminution of the metaphysis, and concomitant ulnar styloid fracture. The CT scans were used as a reference standard to determine sensitivity and accuracy of standard radiographic assessment in evaluation of distal radius fractures. RESULTS: The inter-rater agreement for the AO classification was 35.4%, 68.8% for the Fernandez and 38.5% for the Frykman classification. Fracture extension into the radiocarpal joint was present in 81 cases (84.4%). Sigmoid notch involvement was found in 81 fractures (84.4%). Involvement of both joints was present in 72 cases (75%). The sensitivity of standard radiographs regarding radiocarpal joint involvement was 93.8%. Considering involvement of the distal radio-ulnar joint the false-negative rate using standard radiographs was 61.7% and the test's accuracy for sigmoid notch involvement was 45.8%. CONCLUSION: This study demonstrates that involvement of the sigmoid notch is frequently missed in standard radiographs. The presented data support the frequent use of CT imaging to allow the holistic illustration of a fracture's complexion and to ensure optimal pre-operative planning.

[Sacral fractures in geriatric patients]. / Sakrumfrakturen beim geriatrischen Patienten.

Sacral fractures in geriatric patients are increasing and form a distinct entity. Clinical findings can be unspecific, which is why they are easily overlooked. It is mandatory to analyze the whole pelvic ring for evaluation of pelvic stability and for making treatment decisions. The primary diagnostics are made using plain X­radiography; however, for assessment of the posterior pelvic ring an examination using sectional imaging is regularly necessary. The fragility fractures of the pelvis (FFP) classification is suitable as a guideline for the surgical treatment to be used. Stable fractures without relevant displacement after initial mobilization should be treated conservatively. Instability, failure of mobilization and persistent pain are, however, common reasons for surgical treatment. Fracture displacement determines if minimally invasive procedures for posterior and anterior pelvic ring stabilization are possible. Otherwise, complex open procedures such as spinopelvic fixation may be necessary.

Clinical characteristics, injury pattern and management of pediatric pelvic fracture: An observational retrospective study from a level I trauma center.

BACKGROUND: Pediatric pelvic fractures (PPF) are uncommon among children requiring hospitalization after blunt trauma. The present study explored our experience for the prevalence, patients demographics, clinical characteristics, injury pattern and management of pediatric pelvic fractures in a level I trauma center. METHODS: This is a retrospective review of prospectively collected data obtained from trauma registry database for all pediatrics trauma patients of age ≤18 years. Data were analyzed according to different aspects relevant to the clinical applications such as Torode classification for pelvic ring fracture (Type I-IV), open versus closed triradiate cartilage, and surgical versus non-surgical management. RESULTS: During the study period (3 and half years), a total of 119 PPF cases were admitted at the trauma center (11% of total pediatric admissions); the majority had pelvic ring fractures (91.6%) and 8.4% had an acetabular fracture. The mean age of patients was 11.5 ± 5.7, and the majority were males (78.2%). One hundred and four fractures were classified as type I (5.8%), type II (13.5%), type III (68.3%) and type IV (12.5%). Patients in the surgical group were more likely to have higher pelvis AIS (p = 0.001), type IV fractures, acetabular fractures and closed triradiate cartilage as compared to the conservative group. Type III fractures and open triradiate cartilage were significantly higher in the conservative group (p < 0.05). Patients with closed triradiate cartilage frequently sustained spine, head injuries, acetabular fracture and had higher mean ISS and pelvis AIS (p < 0.01) than the open group. However, the rate of in-hospital complications and mortality were comparable among different groups. The overall mortality rate was 2.5%. CONCLUSION: PPF are uncommon and mainly caused by high-impact trauma associated with multisystem injuries. The majority of PPF are stable, despite the underlying high-energy mechanism. Management of PPF depends on the severity of fracture as patients with higher grade fractures require surgical intervention. Furthermore, larger prospective study is needed to understand the age-related pattern and management of PPF.

Thoracolumbar fracture classification: evolution, merits, demerits, updates, and concept of stability.

Thoracolumbar fracture classification system is required to facilitate effective communication between spine surgeons, to guide treatment, and to help predict the prognosis. An ideal classification system should be simple, comprehensive, reliable, and reproducible with predictive outcomes. Unfortunately, most of the existing classifications have certain merits and demerits and they failed to fulfill the above criteria; some are oversimplified while others are too inclusive and complex for routine use. Given the scenario where none of the classifications is accepted worldwide, it is imperative to understand the evolution of thoracolumbar injury classification. The authors concisely review the subject from its inception in the year 1929 to the present day.