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Purpose: The transoral endoscopic thyroidectomy vestibular approach (TOETVA) is distinguished by its ability to leave no visible scars on the body's surface. Currently, there is still a lack of single-center large sample size analysis on the learning curve of TOETVA, especially for the treatment of thyroid cancer. This study aims to fill this void by presenting a comprehensive analysis of the learning curve and assessing the procedure's feasibility in managing thyroid cancer.
Methods: Between June 2020 and June 2023, a retrospective analysis was conducted on 195 patients who had undergone the transoral endoscopic thyroidectomy vestibular approach (TOETVA) at the First Affiliated Hospital of Zhengzhou University. We employed the cumulative sum method (CUSUM) to delineate the learning curve of TOETVA. Additionally, clinical parameters across different stages of the learning process were meticulously compared and analyzed.
Results: All patients successfully completed endoscopic surgery without conversion to open surgery. Utilizing the CUSUM algorithm, two distinct learning phases were delineated: the exploration phase, comprising 58 cases, and the maturation phase, encompassing 137 cases. Analysis revealed that the maturation phase demonstrated significantly reduced operative times (189.7 ± 237.27 . 138.15 ± 26.62 minutes, p<0.001), decreased blood loss (15.49 ± 15.05 . 9.67 ± 4.12 ml, p=0.005), and a lower incidence of complications (7 . 4, p=0.028) when compared to the exploration phase. Additionally, in the maturation phase, we achieved successful surgical outcomes in a subset of obese patients and those with nodular goiter.
Conclusion: TOETVA has been demonstrated to be safe and feasible, with the capability to effectively address complex cases once the learning curve has been surmounted.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11743656 | PMC |
http://dx.doi.org/10.3389/fendo.2024.1498797 | DOI Listing |
Zhong Nan Da Xue Xue Bao Yi Xue Ban
May 2025
Department of Geriatric Pulmonary and Critical Care Medicine, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Changsha 410008.
Objectives: Non-small cell lung cancer (NSCLC) is associated with poor prognosis, with 30% of patients diagnosed at an advanced stage. Mutations in the and genes are important prognostic factors for NSCLC, and targeted therapies can significantly improve survival in these patients. Although tissue biopsy remains the gold standard for detecting gene mutations, it has limitations, including invasiveness, sampling errors due to tumor heterogeneity, and poor reproducibility.
View Article and Find Full Text PDFAndrology
September 2025
Department of Urology, Peking University First Hospital, Beijing, China.
Background: Non-obstructive azoospermia represents the most severe form of male infertility. The heterogeneous nature of focal spermatogenesis within the testes of non-obstructive azoospermia patients poses significant challenges for accurately predicting sperm retrieval rates.
Objectives: To develop a machine learning-based predictive model for estimating sperm retrieval rates in patients with non-obstructive azoospermia.
J Cardiovasc Electrophysiol
September 2025
Northwell Cardiovascular Institute, Center for Arrhythmias, New Hyde Park, New York, USA.
Background: Atrial fibrillation (AF) and heart failure (HF) frequently coexist in patients, with the development of AF often preceding HF decompensation. We sought to evaluate whether daily remote monitoring of ICD parameters could predict AF occurrence using machine learning techniques in a real-world cohort.
Methods: Data from patients with primary prevention ICDs transmitted daily to the Northwell centralized remote monitoring center between 2012 and 2021 were extracted.
Respirology
September 2025
Radiology Department, Huadong Hospital, Fudan University, Shanghai, China.
Background And Objective: Diagnosing pulmonary ground-glass nodules (GGNs) on chest CT imaging remains challenging in clinical practice. Moreover, different stages of GGNs may require different clinical treatments. Hence, we sought to predict the progressive state of pulmonary GGNs (absorption or persistence) for accurate clinical treatment and decision-making.
View Article and Find Full Text PDFDiagn Progn Res
September 2025
Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Background: Hospital-acquired venous thromboembolism (HA-VTE) is a leading cause of morbidity and mortality among hospitalized adults. Numerous prognostic models have been developed to identify those patients with elevated risk of HA-VTE. None, however, has met the necessary criteria to guide clinical decision-making.
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