Senior Orthopaedic Surgeons Research Articles

Comparative study of outcomes with total knee arthroplasty: medial pivot prosthesis vs posterior stabilized implant. Prospective randomized control.

Total knee arthroplasty (TKA) is an effective procedure for pain relief and restoration of function in patients with symptomatic end-stage knee arthritis. Kinematic problems due to conventional implant design have been postulated. The objective of this study is to determine if there was any difference in postoperative ROM and outcomes between patients undergoing MP-TKA vs PS-TKA. We prospectively colected the records of 600 consecutive patients with TKA performed by six senior orthopaedic surgeons between 2017 - 2021. We compared the ROM and patient-reported outcomes (Western Ontario McMaster Osteoarthritis Index WOMAC, Oxford Knee Score OKS, Knee Society Score KSS, Forgotten Joint Score FJS) between MP TKA and PS TKA. There were no specific criteria for implant selection as the two groups were consecutive cohorts of patients and implant selection depended on surgeon preference. Demographics, comorbidities, diagnosis and severity of osteoarthritis were similar between MP and PS groups. The trend for OKS in our study is the same in both groups, but with higher mean values in the MP group. The trend of WOMAC pain, stiffness and disability score is the same in both groups, but with higher mean values in the PS group at one year and two years. KSS clinical and functional score is the same in both groups, but with higher mean values in the MP group. The most important score is forgetten joint score which is favourable for the MP group. The patients who underwent the MP-TKA scored better than those who underwent the PS-TKA, particularly regarding deep knee flexion and stability of the prosthesis. This may be related to better replication of natural knee kinematics with MP-TKA.

Prevalence of Osteochondral Lesions on Magnetic Resonance Imaging Following Simple Elbow Dislocations.

Objective: Literature regarding osteochondral lesions in patients following elbow dislocation is scarce. The aim of this study was to examine osteochondral lesions on MRI in patients following simple elbow dislocations and evaluate inter-rater reliability between radiologists and orthopedic surgeons at different levels of experience. Methods: In this retrospective, single-center study, 72 MRIs of patients following simple elbow dislocations were evaluated. Ligamentous and osteochondral injuries were evaluated by a junior and senior radiologist and a junior and senior orthopedic surgeon. Osteochondral lesions were classified according to the Anderson classification, and their distribution was assessed. Inter-rater reliability was assessed using Cohen's Kappa (95% CI) and Fleiss' Kappa (95% CI). Results: The mean time from injury to MRI was 6.92 ± 4.3 days, and the mean patient age was 42.4 ± 16.0 years. A total of 84.5% of patients had a lateral collateral ligament tear, and 69.0% had a medial collateral ligament tear. Osteochondral lesions were found in 27.8% to 63.9% of cases. According to the senior orthopedic surgeon, 100% were first-grade lesions, whereas the senior radiologist classified 63.2% as first-grade, 26.3% as second-grade, and 5.3% as third- and fourth-grade lesions. Inter-rater reliability was fair to moderate for ligamentous injuries and fair for osteochondral lesions (Fleiss Kappa 0.25 [0.15-0.34]). Localization of the lesions differed depending on the examiner. For all examiners, osteochondral lesions of the lateral column (radial head and capitulum) were most common, with 57.8-66.7% of all lesions. Inter-rater reliability was moderate for lesions in the medial column (Fleiss Kappa 0.51 [0.41-0.6]) and fair for lesions in the lateral column (Fleiss Kappa 0.34 [0.24-0.43]). Conclusions: Osteochondral lesions following simple elbow dislocations are common; however, in contrast to the current literature, high-grade lesions seem to be relatively rare. Overall inter-rater reliability between radiologists and surgeons, as well as within surgeons, was only moderate to fair regarding ligament and osteochondral lesions.

Enhancing Clinical Insights: New Radiographic Grading for Lumbar Facet Joint Degeneration, A Reliability Study.

Lumbar facet joint diseases can often lead to reduced work efficiency and increased medical costs. As a primary imaging tool in orthopedics, X-rays offer numerous advantages. However, there is no consensus on the classification of lumbar facet joints based on X-ray imaging. This study was conducted for 356 patients between November 2017 and September 2023. A senior radiologist and a senior orthopedic surgeon discussed and established a grading system for lumbar facet joints based on both X-ray and MRI findings. Two double-blind attending spinal surgeons were asked to evaluate and grade the included cases. The intra-rater reliability and inter-rater reliability were evaluated by assessing the weighted kappa (κw) coefficient. The level of inter-rater reliability of MRI for complete agreement was good for Doctor A (κw = 0.792) and Doctor B (κw = 0.869). The inter-rater reliability coefficient for grading lumbar facet joint degeneration based on the radiograph was as follows: for Doctor A (κw = 0.702, session 1; κw = 0.847, session 2) and Doctor B (κw = 0.714, session 1; κw = 0.828, session 2). Moreover, the level of intra-rater reliability based on X-ray for complete agreement was excellent for Doctor A (κw = 0.843) and Doctor B (κw = 0.836). We propose a new grading system for lumbar facet joint degeneration based on X-rays, which serves as a supplement to the Weishaupt and Pathria classifications. This grading system aims to provide clinicians with a more comprehensive understanding of lumbar facet joint degeneration, allowing for the use of a broader range of diagnostic tools to evaluate facet joint degeneration from multiple perspectives. We believe that this grading system can be valuable in assessing potential anatomical changes related to the facet joint, thereby informing modifications to surgical techniques and procedural steps.

Deep learning algorithm enables automated Cobb angle measurements with high accuracy.

To determine the accuracy of automatic Cobb angle measurements by deep learning (DL) on full spine radiographs. Full spine radiographs of patients aged > 2years were screened using the radiology reports to identify radiographs for performing Cobb angle measurements. Two senior musculoskeletal radiologists and one senior orthopedic surgeon independently annotated Cobb angles exceeding 7° indicating the angle location as either proximal thoracic (apices between T3 and T5), main thoracic (apices between T6 and T11), or thoraco-lumbar (apices between T12 and L4). If at least two readers agreed on the number of angles, location of the angles, and difference between comparable angles was < 8°, then the ground truth was defined as the mean of their measurements. Otherwise, the radiographs were reviewed by the three annotators in consensus. The DL software (BoneMetrics, Gleamer) was evaluated against the manual annotation in terms of mean absolute error (MAE). A total of 345 patients were included in the study (age 33 ± 24years, 221 women): 179 pediatric patients (< 22years old) and 166 adult patients (22 to 85years old). Fifty-three cases were reviewed in consensus. The MAE of the DL algorithm for the main curvature was 2.6° (95% CI [2.0; 3.3]). For the subgroup of pediatric patients, the MAE was 1.9° (95% CI [1.6; 2.2]) versus 3.3° (95% CI [2.2; 4.8]) for adults. The DL algorithm predicted the Cobb angle of scoliotic patients with high accuracy.

Using Deep Learning to Suggest Treatment for Proximal Humerus Fractures.

Proximal humeral fractures are among the most common fractures seen in emergency departments. Accurately diagnosing and selecting the most appropriate treatment for these fractures can be challenging, and consultation with a senior orthopedic surgeon can be time-consuming for both the patient and the emergency unit. We developed a machine learning model for predicting the type of treatment based on injury radiographic images. The model distinguishes between nonoperative and operative treatment options, achieving an accuracy of 86% and an interobserver reliability (kappa) of 0.722 for test-dataset, which is more than the interobserver agreement between shoulder surgeons. This model has the potential to serve as a therapeutic decision support system for the practitioners in the emergency departments to expedite treatment decisions and to reduce patients' waiting time.

Influence of a Lordotic Cage Profile on Global and Segmental Lordosis in the Context of Lumbar TLIF Surgeries: A Retrospective Radiological Analysis.

Background/Objectives: Cage implantation decompresses neural elements, stabilizes segments, and promotes fusion, with sagittal balance influenced by cage size, geometry, and position. This retrospective study compared the effects of lumbar interbody cages with 10° and 15° lordotic angles on global and segmental lordosis in patients undergoing transforaminal lumbar interbody fusion (TLIF). Methods: Data from 215 patients who underwent 259 TLIF procedures between 2018 and 2022 were analyzed. All the surgeries were performed by a single senior orthopedic spine surgeon, and cages were selected by the surgeon based on patients' clinical and anatomical factors. Radiographic assessments included measurements of global and segmental lordosis. Results: Patients who received 15° cages demonstrated significantly greater segmental lordosis compared to those who received 10° cages in both bisegmental and monosegmental procedures (p < 0.001). While the global lordosis in the 10°-cage group remained unchanged postoperatively (p = 0.687), bisegmental procedures showed a small but statistically significant increase (p = 0.035). Moreover, global lordosis did not significantly differ between the 10°- and 15°-cage groups. Conclusions: Cage geometry significantly influenced segmental lordosis, with 15° cages achieving overall more superior radiographic results compared to 10° cages. However, global lordosis was unaffected by cage angle, thereby highlighting the multifaceted nature of factors that influence overall spinal alignment. These findings provide valuable insights into lumbar spine surgery, thus emphasizing the need for comprehensive preoperative planning and consideration of individual patient characteristics.

Evaluation of the utility of surgical simulation software in medical postgraduate education

BackgroundThe use of medical simulation software in medical institutions is growing to address teaching challenges. The study aims to assess the effectiveness of the Touch Surgery app, a free medical simulation software, as a supplement to the teaching methodology of unified surgery for medical students. MethodsTwenty-three postgraduate students, divided into three groups based on residency training years, and five senior orthopedic surgeons took part in the study. Each participant completed three modules within the Large External Fixators module using the Touch Surgery app. The results achieved by orthopedic specialists and postgraduates in the test module were recorded separately. The orthopedic specialists' first test module scores were used as a baseline. A Likert survey assessed the usefulness and content accuracy of the app. Statistical analysis included analysis of variance and 2-tailed t-test. ResultsThe first and second scores achieved by the postgraduates in the three groups were significantly different from the baseline of the orthopedic specialists, but the mean scores of all postgraduate's groups increased with simulator usage for learning and by the third attempt they were at the same level as the orthopedic specialists. However, no significant performance differences were observed between postgraduates with different training years. Postgraduates expressed a positive opinion of the usefulness and content of Touch Surgery in the questionnaire and their intention to continue using it in their future studies. ConclusionsThis study shows that the use of Touch Surgery improves postgraduates' performance and ultimately enables them to reach the level of orthopedic specialists in simulated surgery, and received positive ratings for the software's experience and content. Touch Surgery can be a valuable complement to traditional surgical teaching methods, bridging the gap between theoretical learning from textbooks and guided rehearsals of surgical steps and skills.

Comparative performance analysis of large language models: ChatGPT-3.5, ChatGPT-4 and Google Gemini in glucocorticoid-induced osteoporosis

BackgroundsThe use of large language models (LLMs) in medicine can help physicians improve the quality and effectiveness of health care by increasing the efficiency of medical information management, patient care, medical research, and clinical decision-making.MethodsWe collected 34 frequently asked questions about glucocorticoid-induced osteoporosis (GIOP), covering topics related to the disease’s clinical manifestations, pathogenesis, diagnosis, treatment, prevention, and risk factors. We also generated 25 questions based on the 2022 American College of Rheumatology Guideline for the Prevention and Treatment of Glucocorticoid-Induced Osteoporosis (2022 ACR-GIOP Guideline). Each question was posed to the LLM (ChatGPT-3.5, ChatGPT-4, and Google Gemini), and three senior orthopedic surgeons independently rated the responses generated by the LLMs. Three senior orthopedic surgeons independently rated the answers based on responses ranging between 1 and 4 points. A total score (TS) > 9 indicated ‘good’ responses, 6 ≤ TS ≤ 9 indicated ‘moderate’ responses, and TS < 6 indicated ‘poor’ responses.ResultsIn response to the general questions related to GIOP and the 2022 ACR-GIOP Guidelines, Google Gemini provided more concise answers than the other LLMs. In terms of pathogenesis, ChatGPT-4 had significantly higher total scores (TSs) than ChatGPT-3.5. The TSs for answering questions related to the 2022 ACR-GIOP Guideline by ChatGPT-4 were significantly higher than those for Google Gemini. ChatGPT-3.5 and ChatGPT-4 had significantly higher self-corrected TSs than pre-corrected TSs, while Google Gemini self-corrected for responses that were not significantly different than before.ConclusionsOur study showed that Google Gemini provides more concise and intuitive responses than ChatGPT-3.5 and ChatGPT-4. ChatGPT-4 performed significantly better than ChatGPT3.5 and Google Gemini in terms of answering general questions about GIOP and the 2022 ACR-GIOP Guidelines. ChatGPT3.5 and ChatGPT-4 self-corrected better than Google Gemini.

Dynamic point of care ultrasound is effective in the early diagnosis of anterior cruciate ligament injuries in children and adolescents

IntroductionSeveral studies have proven that ultrasound (US) can improve the efficiency of early diagnostics of anterior cruciate ligament (ACL) injuries. ACL US is mainly performed by sonologists or radiologists. We have very little data on how effective these tests are if they are performed by an orthopaedic surgeon. We also have no information on the applicability of ACL US in children and adolescents. In this retrospective study, we analysed the results of point of care ultrasound (POCUS), which were performed by orthopaedic surgeons on children with suspected ACL injury. Materials and methodsWe reviewed the data of children and adolescents who were examined with ultrasound between 2018 and 2021 for suspected ACL injury. ACL POCUS was done immediately after the physical examination, according to a standard technique. The tests were performed by an orthopaedic resident and young and a senior orthopaedic surgeon. The inclusion criteria were as follows: the child's age is between 0–15 years, the growth zones are open, the child later underwent MRI and/or arthroscopy, which confirmed or excluded the fact of an ACL injury. We excluded patients with incomplete recordings and documentation. Results119 children met the above criteria. The children were between 8 and 15 years old (mean = 13.29). Positive findings were found in 47, negative findings in 72 children with ACL POCUS. During the subsequent treatment, 57 children underwent only MRI examination, 11 children only arthroscopy, and 51 children both MRI and arthroscopy. The specificity of the test was measured as 0.958 and the sensitivity as 0.917 for complete ACL rupture. Regarding all ACL injuries (complete + partial), we found the sensitivity to be 83.019 and the specificity to be 95.45. The interrater agreement between radiologist and clinicians was 94.957 %. (Cohen's k: 0.8945). ConclusionsPOCUS can indicate functional insufficiency caused by ACL injury in children and adolescents. The biggest advantage of the test is that it is quick and simple, non-invasive. Further prospective diagnostic tests and standardized examination protocols can confirm our favourable experiences.

Examining the role of ChatGPT in the management of distal radius fractures: insights into its accuracy and consistency.

The optimal management of distal radius fractures remains a challenge for orthopaedic surgeons. The emergence of Artificial Intelligence (AI) and Large Language Models (LLMs), especially ChatGPT, affords significant potential in improving healthcare and research. This study aims to assess the accuracy and consistency of ChatGPT's knowledge in managing distal radius fractures, with a focus on its capability to provide information for patients and assist in the decision-making processes of orthopaedic clinicians. We presented ChatGPT with seven questions on distal radius fracture management over two sessions, resulting in 14 responses. These questions covered a range of topics, including patient inquiries and orthopaedic clinical decision-making. We requested references for each response and involved two orthopaedic registrars and two senior orthopaedic surgeons to evaluate response accuracy and consistency. All 14 responses contained a mix of both correct and incorrect information. Among the 47 cited references, 13% were accurate, 28% appeared to be fabricated, 57% were incorrect, and 2% were correct but deemed inappropriate. Consistency was observed in 71% of the responses. ChatGPT demonstrates significant limitations in accuracy and consistency when providing information on distal radius fractures. In its current format, it offers limited utility for patient education and clinical decision-making.

Is Staged Surgery Always Necessary for Schatzker Type IV-VI Tibial Plateau Fractures? A Comparison Study.

This study aims to compare the outcomes of immediate (followed by closed-incision negative-pressure therapy use) versus delayed ORIF in patients with Schatzker type IV-VI TPFs. A prospective study of patients undergoing ORIF between January 2018 and December 2019 was performed. The inclusion criteria were patients (>18 years) with a closed fracture sent to the emergency room (ER) within 24 h of injury. All the patients underwent preoperative image evaluation. Two senior orthopedic trauma surgeons evaluated the soft tissue condition in the ER by 5P's of the compartment syndrome, judging the timing of the operation of definitive ORIF. Group 1 (n = 16) received delayed ORIF. Group 2 (n = 16) received immediate ORIF and ciNPT use. Patient follow-up occurred after 2 and 6 weeks and 3, 6, and 12 months after surgery. The assessments included the time to definitive fixation, the length of hospital stay, the time to bone union, surgical site complications, and reoperation within 12 months. A universal goniometer was used to measure the postoperative 3 m, 6 m, and 12 m ROM. The patient demographics were similar between the groups (p > 0.05). Group 2 displayed significantly a shorter time to definitive fixation (5.94 ± 2.02 vs. 0.61 ± 0.28, p < 0.0001) and hospital stay (14.90 ± 8/78 vs. 10.30 ± 6.78, p = 0.0016). No significant difference was observed in the time to bone union, surgical site complication incidence, and reoperation rates (p > 0.05). Flexion and flexion-extension knee ROM were demonstrated to be significantly improved in Group 2, 3, 6, and 12 months postoperatively (p < 0.0001). In this study, early ORIF and ciNPT use resulted in a shorter hospital length of stay, a reduced time to early active motion of the knee, and improved knee ROM. These results suggest that early ORIF with ciNPT for Schatzker type IV-VI TPFs is safe and effective in some patients. However, further research to confirm these findings across larger and more diverse populations is needed.

Can Chat-GPT assist orthopedic surgeons in evaluating the quality of rotator cuff surgery patient information videos?

BackgroundPatients and healthcare professionals extensively rely on the internet for medical information. Low-quality videos can significantly impact the patient-doctor relationship, potentially affecting consultation efficiency and decision-making process. Chat Generative Pre-Trained Transformer (ChatGPT) is an artificial intelligence application with the potential to improve medical reports, provide medical information, and supplement orthopedic knowledge acquisition. This study aimed to assess the ability of ChatGPT-4 to detect deficiencies in these videos, assuming it would be successful in identifying such deficiencies. Materials and MethodsYouTube was searched for 'rotator cuff surgery' and 'rotator cuff surgery clinic' videos. A total of 90 videos were evaluated, with 40 included in the study after exclusions. Using the Google Chrome extension '' YouTube Summary with ChatGPT & Claude'', transcripts of these videos were accessed. Two senior orthopedic surgeons and ChatGPT-4 evaluated the videos using the rotator cuff surgery YouTube score (RCSS) system and DISCERN criteria. ResultsChatGPT-4's RCSS evaluations were comparable to those of the observers in 25% of instances, and 40% for DISCERN. The interobserver agreement between human observers and ChatGPT-4 was fair (AC1: 0.575 for DISCERN and AC1: 0.516 for RCSS). Even after correcting ChatGPT-4's incorrect answers, the agreement did not change significantly. ChatGPT-4 tended to give higher scores than the observers, particularly in sections related to anatomy, surgical technique, and indications for surgery. ConclusionThe use of ChatGPT-4 as an observer in evaluating rotator cuff surgery-related videos and identifying deficiencies is not currently recommended. Future studies with trained ChatGPT models may address these deficiencies and enable ChatGPT to evaluate videos at a human observer level.

Ankle fracture surgery performed by orthopaedic residents without supervision has comparable outcomes to surgery performed by fellowship trained orthopaedic surgeons

BackgroundUnstable fractures often necessitate open reduction and internal fixation (ORIF), which generally yield favourable outcomes. However, the impact of surgical trainee autonomy on healthcare quality in these procedures remains uncertain. We hypothesized that surgery performed solely by residents, without supervision or participation of an attending surgeon, can provide similar outcomes to surgery performed by trauma or foot and ankle fellowship-trained orthopaedic surgeons.MethodsA single-center cohort of an academic level-1 trauma center was retrospectively reviewed for all ankle ORIF between 2015 and 2019. Data were compared between surgery performed solely by post-graduate-year 4 to 6 residents, and surgery performed by trauma or foot and ankle fellowship-trained surgeons. Demographics, surgical parameters, preoperative and postoperative radiographs, and primary (mortality, complications, and revision surgery) and secondary outcome variables were collected and analyzed. Univariate analysis was performed to evaluate outcomes.ResultsA total of 460 ankle fractures were included in the study. Nonoperative cases and cases operated by senior orthopaedic surgeons who are not trauma or foot and ankle fellowship-trained orthopaedic surgeons were excluded. The average follow-up time was 58.4 months (SD ± 12.5). Univariate analysis of outcomes demonstrated no significant difference between residents and attendings in complications and reoperations rate (p = 0.690, p = 0.388). Sub-analysis by fracture pattern (Lauge-Hansen classification) and the number of malleoli involved and fixated demonstrated similar outcomes. surgery time was significantly longer in the resident group (p < 0.001).ConclusionThe current study demonstrates that ankle fracture surgery can be performed by trained orthopaedic surgery residents, with similar results and complication rates as surgery performed by fellowship-trained attendings. These findings provide valuable insights into surgical autonomy in residency and its role in modern clinical training and surgical education.Level of evidenceLevel III – retrospective cohort study.

The Potential of ChatGPT for High-Quality Information in Patient Education for Sports Surgery.

Artificial intelligence (AI) advancements continue to have a profound impact on modern society, driving significant innovation and development across various fields. We sought to appraise the reliability of the information offered by Chat Generative Pre-Trained Transformer (ChatGPT) regarding diseases commonly associated with sports surgery. We hypothesized that ChatGPT could offer high-quality information on sports-related diseases and be used in patient education. On September 11, 2023, specific sports surgery-related diseases were identified to ask ChatGPT-4 (personal communication, March 4, 2023). The informative texts provided by ChatGPT were recorded by a non-observer senior orthopedic surgeon for this study. Ten texts provided by ChatGPT related to sports surgery diseases were evaluated blindly by two observers. Observers assessed and scored these texts based on the sports surgery-specific scoring (SSSS) and DISCERN criteria. The precision of the disease-related information offered by ChatGPT was evaluated. The calculated average DISCERN score of the texts in the study was 44.75 points and the average SSSS score was 13.3 points. In the interclass correlation coefficient analysis of the measurements made by the observers, the agreement was found to be excellent (0.989; p < 0.001). ChatGPT has the potential to be used in patient education for sports surgery-related diseases. The potential to provide quality information in this regard seems to be an advantage.

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

PurposeIntertrochanteric 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. MethodsWe 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. ResultsThe 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. ConclusionIn conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.

Development of a diagnostic support system for distal humerus fracture using artificial intelligence.

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. 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 sevenyears and older, after excluding paediatric images below sevenyears 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. 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. 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.

Is Subcapital Realignment for Slipped Capital Femoral Epiphysis a Reproducible Technique? Midterm Results.

The modified Dunn procedure, which is based on the development of an extended retinacular flap containing the blood supply for the femoral head, allows anatomic reestablishment in patients with moderate to severe slipped capital femoral epiphysis (SCFE). Some controversy exists regarding the short-term to midterm risk of avascular necrosis (AVN) and other complications resulting from the surgical technique. (1) What percentage of patients treated with an extended retinacular flap during the modified Dunn procedure for SCFE with a moderate (slip angle from 30° to 60°) or severe slip (slip angle equal or greater than 60°) develop symptomatic AVN, and what percentage underwent further surgery or had other complications? (2) What femoral head-neck alignment and position parameters relative to the greater trochanter are achieved after surgery? (3) Can we identify radiographic signs of osteoarthritis at a minimum of 4 years after surgery? Between January 2006 and December 2018, we treated 61 patients for SCFE. During this time, we generally used the modified Dunn procedure when the slip angle was ≥ 30°. Based on this indication, the modified Dunn procedure was performed in 37 patients (41 hips) during that time period, and those patients were potentially eligible for this retrospective study. Because bilateral hips in the same patient are not statistically independent, for our analyses, we analyzed only the hip with the longer follow-up time. Of those who remained, 11% (4) were lost before the minimum study follow-up of 48 months or had incomplete datasets, leaving 89% (33) for analysis here at a median follow-up of 80 months (range 49 to 208 months). Periacetabular osteotomy or subtrochanteric rotational femoral osteotomy was added under the same anaesthesia time in 33% (11 patients). We added periacetabular osteotomy in 24% (8) when intraoperative anterior instability was present in external rotation. A femoral rotational osteotomy was added in 9% (3) when posterior instability was present in flexion and internal rotation. The mean ± standard deviation age at the time of surgery was 13 ± 1 years, and 33% (11 of 33) of patients were female. The mean slip angle was 51° ± 16º, and 15% (5) of hips had unstable slips, defined as an inability to walk with or without crutches. We documented chronic presentations in 82% (27) of patients, acute and chronic in 12% (4), and acute in 6% (2). The rate of symptomatic AVN was determined by reviewing all radiographs obtained at the latest follow-up interval. Further surgery and other complications were assessed through an electronic medical record review. Radiographic morphologic parameters were measured before surgery and at a minimum follow-up of 4 years by two senior orthopaedic surgeons. Radiographs obtained at the latest follow-up visit were also screened for signs of osteoarthritis by the same surgeons. At the latest follow-up, 3% (1 patient) of patients developed symptomatic AVN and underwent further surgery and 3% (1) underwent revision surgery for screw breakage after a high-energy fall. Postoperatively, the alpha angle was restored to 39º ± 6º, the anterior head-neck offset was restored to 8 ± 3 mm, the neck-shaft angle was 136º ± 6º, and the presence of a positive Klein line decreased from 64% (21 hips) to 0% (0 hips). No patients showed radiographic signs of osteoarthritis at the minimum follow-up of 4 years. In this series, the modified Dunn procedure in moderate and severe slips was a reproducible procedure, and few patients developed symptomatic AVN or experienced other complications. Hip morphology was restored, but a longer follow-up duration and a detailed analysis of the results from other centers is warranted to assess the possible long-term risk of progression to AVN or osteoarthritis. Level IV, therapeutic study.

Papineau-irrigation technique: an alternative treatment of fracture-related infectious soft tissue defects.

The original Papineau technique described satisfactory results in treating infection-related pseudarthrosis and chronic osteomyelitis with chronic draining wounds. We described our experience in treating these soft tissue defects using the Papineau-irrigation technique. We retrospectively reviewed the records of patients that were treated with the Papineau-irrigation technique at UZ Leuven, Belgium, between January 2006 and January 2023. All surgical procedures were performed by one senior orthopedic surgeon. There were no exclusion criteria. There was successful healing of the soft tissue defect in 27 out of 32 patients with serial drip irrigation. Additional debridement was often necessary. The Papineau-irrigation technique may provide a useful alternative for treating fracture-related soft tissue defects. In addition, this technique is safe and feasible. Further comparative studies are necessary to validate its efficacy.

Does AMIC® provide improvements at least two years after surgery for knee osteochondral lesions? A multicentre retrospective study of 101 patients

BackgroundOsteochondral defects of the knee due to trauma or osteochondritis are associated with osteoarthritis in the medium term. Defects 2 to 8cm2 in size can be managed by autologous matrix-induced chondrogenesis (AMIC®), in which sub-chondral micro-fractures are created within the lesion and the defect is then covered by a matrix of type I and type III collagen to induce de novo cartilage formation. Although promising outcomes have been observed in small single-centre cohorts, the medium-term clinical and radiological effectiveness of AMIC® remains to be demonstrated in larger populations. The objective of this study was to evaluate outcomes of patients at least 2 years after AMIC® for knee osteochondral defects. HypothesisAMIC® is associated with clinical and radiological improvements after at least 2 years. Material and methodThis multicentre (16 centres), multisurgeon (18 senior orthopaedic surgeons), retrospective study included consecutive patients who underwent AMIC® with Chondro-Gide® membrane implantation between September 2011 and January 2020. The 36-item Short Form quality-of-life (SF-36) score, Knee Injury and Osteoarthritis Outcome Score (KOOS), and International Knee Documentation Committee (IKDC) score were determined before the procedure and during follow-up. The Magnetic Resonance Observation of Cartilage Repair Tissue (MOCART) score was assessed by magnetic resonance imaging 2 years after the procedure. ResultsIn total, 101 patients aged 12 to 60 years were included. Mean follow-up was 30 months. Mean defect size was 3.44cm2 (range, 2–8cm2). Significant improvements were documented in the SF-36 score, KOOS, and IKDC score. The mean MOCART score at 2 years was 75% (range, 20–100). DiscussionThe AMIC® procedure was associated with significant improvements at 2.5 years in patients treated for knee osteochondral defects measuring 2 to 8cm2. This method seems to provide similar outcomes to those of other available methods with the advantages of single-step surgery and elimination of osteochondral graft donor-site complications. Level of evidenceIV, retrospective observational cohort study.

A pilot study on the efficacy of GPT-4 in providing orthopedic treatment recommendations from MRI reports

Large language models (LLMs) have shown potential in various applications, including clinical practice. However, their accuracy and utility in providing treatment recommendations for orthopedic conditions remain to be investigated. Thus, this pilot study aims to evaluate the validity of treatment recommendations generated by GPT-4 for common knee and shoulder orthopedic conditions using anonymized clinical MRI reports. A retrospective analysis was conducted using 20 anonymized clinical MRI reports, with varying severity and complexity. Treatment recommendations were elicited from GPT-4 and evaluated by two board-certified specialty-trained senior orthopedic surgeons. Their evaluation focused on semiquantitative gradings of accuracy and clinical utility and potential limitations of the LLM-generated recommendations. GPT-4 provided treatment recommendations for 20 patients (mean age, 50 years ± 19 [standard deviation]; 12 men) with acute and chronic knee and shoulder conditions. The LLM produced largely accurate and clinically useful recommendations. However, limited awareness of a patient’s overall situation, a tendency to incorrectly appreciate treatment urgency, and largely schematic and unspecific treatment recommendations were observed and may reduce its clinical usefulness. In conclusion, LLM-based treatment recommendations are largely adequate and not prone to ‘hallucinations’, yet inadequate in particular situations. Critical guidance by healthcare professionals is obligatory, and independent use by patients is discouraged, given the dependency on precise data input.