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Objective: Transoral endoscopic thyroidectomy via the vestibular approach (TOETVA) offers a scarless alternative to conventional thyroidectomy. Most studies incorporate intraoperative neuromonitoring (IONM), which may be unavailable in resource-limited settings. We evaluated the learning curve, feasibility, and safety of TOETVA without IONM.
Study Design: Retrospective.
Setting: A retrospective analysis of 103 patients undergoing hemithyroidectomy by TOETVA between February 2020 and January 2025 was conducted at a tertiary care center in central India.
Method: Learning curve assessment was performed using Cumulative Sum (CUSUM) analysis, and outcomes were compared between phase 1 (cases 1-50) and phase 2 (Cases 51-103). Statistical analyses included independent tests for continuous variables and chi-square tests for categorical variables ( < .05).
Results: Mean operative time significantly decreased from 185 ± 24 minutes in phase 1 to 105 ± 12.95 minutes in phase 2 ( < .001), with proficiency achieved after 50 cases. Nodule size was larger in phase 2 (4.5 ± 2.3 cm vs 3.0 ± 1.0 cm, = .003). The conversion rate was 4.9%, with no permanent recurrent laryngeal nerve palsy. Hoarseness of voice and seroma rates remained unchanged ( = 1.00), whereas hospital stay significantly decreased ( < .001).
Conclusion: TOETVA without IONM is feasible and safe, demonstrating a well-defined learning curve with low complication rates. These findings support its adoption in low-resource settings.
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http://dx.doi.org/10.1002/oto2.70142 | DOI Listing |
Am J Emerg Med
September 2025
University of Toronto, Rotman School of Management, Canada.
Study Objective: Accurately predicting which Emergency Department (ED) patients are at high risk of leaving without being seen (LWBS) could enable targeted interventions aimed at reducing LWBS rates. Machine Learning (ML) models that dynamically update these risk predictions as patients experience more time waiting were developed and validated, in order to improve the prediction accuracy and correctly identify more patients who LWBS.
Methods: The study was deemed quality improvement by the institutional review board, and collected all patient visits to the ED of a large academic medical campus over 24 months.
PLoS One
September 2025
Neck-Shoulder and Lumbocrural Pain Hospital of Shandong First Medical University, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.
Background: Metabolic syndrome (MetS) and sarcopenia are major global public health problems, and their coexistence significantly increases the risk of death. In recent years, this trend has become increasingly prominent in younger populations, posing a major public health challenge. Numerous studies have regarded reduced muscle mass as a reliable indicator for identifying pre-sarcopenia.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Department of Radiology, Air Force Medical Center, Air Force Medical University, Fucheng Road 30, Haidian District, Beijing, CN.
Background: Lateral malleolar avulsion fracture (LMAF) and subfibular ossicle (SFO) are distinct entities that both present as small bone fragments near the lateral malleolus on imaging, yet require different treatment strategies. Clinical and radiological differentiation is challenging, which can impede timely and precise management. On imaging, magnetic resonance imaging (MRI) is the diagnostic gold standard for differentiating LMAF from SFO, whereas radiological differentiation on computed tomography (CT) alone is challenging in routine practice.
View Article and Find Full Text PDFInt J Cardiovasc Imaging
September 2025
Klinikum Fürth, Friedrich-Alexander-University Erlangen- Nürnberg, Fürth, Germany.
Myocarditis is an inflammation of heart tissue. Cardiovascular magnetic resonance imaging (CMR) has emerged as an important non-invasive imaging tool for diagnosing myocarditis, however, interpretation remains a challenge for novice physicians. Advancements in machine learning (ML) models have further improved diagnostic accuracy, demonstrating good performance.
View Article and Find Full Text PDFJ Neurooncol
September 2025
Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong, China.
Rationale And Objectives: Double expression lymphoma (DEL) is an independent high-risk prognostic factor for primary CNS lymphoma (PCNSL), and its diagnosis currently relies on invasive methods. This study first integrates radiomics and habitat radiomics features to enhance preoperative DEL status prediction models via intratumoral heterogeneity analysis.
Materials And Methods: Clinical, pathological, and MRI imaging data of 139 PCNSL patients from two independent centers were collected.