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1.
JBJS Case Connect ; 14(2)2024 Apr 01.
Article in English | MEDLINE | ID: mdl-38848412

ABSTRACT

CASE: We report a case of an intramuscular thigh hemangioma in a 19-year-old woman with a several year history of atraumatic thigh pain. Radiographs obtained by her primary care physician demonstrated periosteal bone reaction, prompting referral to Orthopaedic Oncology department. The patient had successful symptomatic management with propranolol. CONCLUSION: The case highlights the diagnosis and potential treatments. In a stepwise approach to care for symptomatic benign vascular lesions, propranolol has been a proven therapeutic option and may be a useful first-line therapy for symptomatic hemangiomas.


Subject(s)
Hemangioma , Thigh , Humans , Female , Thigh/diagnostic imaging , Hemangioma/diagnostic imaging , Young Adult , Muscle Neoplasms/diagnostic imaging , Propranolol/therapeutic use , Radiography , Adrenergic beta-Antagonists/therapeutic use
2.
Arthrosc Tech ; 13(4): 102915, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38690350

ABSTRACT

Total shoulder arthroplasty with a humeral head resurfacing (HHR) component and an inlay glenoid (OVOMotion; Arthrosurface) is a successful treatment option for patients with advanced glenohumeral arthritis, an intact rotator cuff, and adequate proximal humeral bone stock. In patients with poor proximal humeral bone, historically stemmed humeral components have been used instead of HHR. However, strategies can be used to successfully optimize HHR implant fixation in suboptimal bone without converting to stemmed implants or in surgical centers where stemmed prostheses are not available. This Technical Note describes 3 techniques-upsizing the humeral taper post, using humeral autograft, and cementation-to improve humeral implant fixation in patients with suboptimal bone stock when using the Arthrosurface OVOMotion implant.

3.
Knee Surg Sports Traumatol Arthrosc ; 32(5): 1077-1086, 2024 May.
Article in English | MEDLINE | ID: mdl-38488217

ABSTRACT

PURPOSE: The purpose of this study was to evaluate the effectiveness of an Artificial Intelligence-Large Language Model (AI-LLM) at improving the readability of knee radiology reports. METHODS: Reports of 100 knee X-rays, 100 knee computed tomography (CT) scans and 100 knee magnetic resonance imaging (MRI) scans were retrieved. The following prompt command was inserted into the AI-LLM: 'Explain this radiology report to a patient in layman's terms in the second person:[Report Text]'. The Flesch-Kincaid reading level (FKRL) score, Flesch reading ease (FRE) score and report length were calculated for the original radiology report and the AI-LLM generated report. Any 'hallucination' or inaccurate text produced by the AI-LLM-generated report was documented. RESULTS: Statistically significant improvements in mean FKRL scores in the AI-LLM generated X-ray report (12.7 ± 1.0-7.2 ± 0.6), CT report (13.4 ± 1.0-7.5 ± 0.5) and MRI report (13.5 ± 0.9-7.5 ± 0.6) were observed. Statistically significant improvements in mean FRE scores in the AI-LLM generated X-ray report (39.5 ± 7.5-76.8 ± 5.1), CT report (27.3 ± 5.9-73.1 ± 5.6) and MRI report (26.8 ± 6.4-73.4 ± 5.0) were observed. Superior FKRL scores and FRE scores were observed in the AI-LLM-generated X-ray report compared to the AI-LLM-generated CT report and MRI report, p < 0.001. The hallucination rates in the AI-LLM generated X-ray report, CT report and MRI report were 2%, 5% and 5%, respectively. CONCLUSIONS: This study highlights the promising use of AI-LLMs as an innovative, patient-centred strategy to improve the readability of knee radiology reports. The clinical relevance of this study is that an AI-LLM-generated knee radiology report may enhance patients' understanding of their imaging reports, potentially reducing the responder burden placed on the ordering physicians. However, due to the 'hallucinations' produced by the AI-LLM-generated report, the ordering physician must always engage in a collaborative discussion with the patient regarding both reports and the corresponding images. LEVEL OF EVIDENCE: Level IV.


Subject(s)
Artificial Intelligence , Comprehension , Magnetic Resonance Imaging , Tomography, X-Ray Computed , Humans , Knee Joint/diagnostic imaging
4.
J Orthop Trauma ; 38(4): 196-199, 2024 Apr 01.
Article in English | MEDLINE | ID: mdl-38442239

ABSTRACT

OBJECTIVE: To evaluate the sensitivity and ability of computed tomography (CT) scan for diagnosing traumatic ankle arthrotomies compared with that of the saline load test (SLT). METHODS: Eleven cadaveric ankles were included in this study. Before intervention, a CT scan was obtained to confirm the absence of intra-articular air. Arthrotomies were created at the anterolateral, posterolateral, anteromedial, and posteromedial aspects of the ankle under fluoroscopic visualization. A postarthrotomy and postrange of motion CT scan was obtained to evaluate for the presence of intra-articular air. Each ankle then underwent a SLT with 60 mL of saline, where volumes provoking extravasation were recorded. RESULTS: Of the 11 included ankles, intra-articular air was detected in all 11 ankles by CT scan. All 11 ankles also demonstrated extravasation of saline through the arthrotomy site during SLT. Thus, the sensitivity for both CT scan and SLT for detecting ankle traumatic arthrotomy was 100%. The mean volume of saline needed for extravasation was 7.7 mL, with a range of 3-22 mL and a SD of 5.4. CONCLUSIONS: Given that CT scan was equally as sensitive to the SLT, this study presents good evidence that CT scan may be used for the detection of ankle traumatic arthrotomies.


Subject(s)
Ankle , Sodium Chloride , Humans , Injections, Intra-Articular , Tomography, X-Ray Computed , Cadaver
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