Background: Pediatric thoracoscopic lobectomy is a technically challenging procedure that may result in better pain control, better cosmetic results, and shorter hospital stay. However, data describing the learning curve of total thoracoscopic lobectomy (TTL) have yet to be obtained. To evaluate our learning curve for TTL in children, we reviewed the safety and efficiency of our initial experiences with TTL in pediatric patients with congenital lung malformation.
Methods: This was a retrospective study of all pediatric patients undergoing TTL between March 2011 and January 2017. Cumulative summation (CUSUM) analysis of operative time (OT) was used.
Results: One hundred patients were retrospectively analyzed and chronologically divided into three phases: the ascending (A), plateau (B), and descending (C) phases of CUSUM of OT. Phases A, B, and C comprised 35, 22, and 43 cases, respectively. OT decreased significantly from phases A to B (P = 0.035) and B to C (P = 0.019). Age and weight of patients both reduced significantly from phase A to B (p = 0.017 and p = 0.012, respectively), while the two measures did not vary from phase B to C (p = 0.987 and p = 0.874, respectively). Chest tube duration and length of hospital stay had similar trend. All complications occurred in five cases in phase A (5/35). Six cases were converted to open surgery (6%). Four conversions occurred within phase A and two in phase C (4/35 vs 2/43, p = 0.490). There were no mortalities.
Conclusions: Repeated standardized training plays a role in overcoming the learning curve for thoracoscopic lobectomy in children, and CUSUM indicates that a learning curve of approximately 57 cases is required in our institute.
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http://dx.doi.org/10.1016/j.asjsur.2021.08.061 | DOI Listing |
Updates Surg
January 2025
Department of Gastrointestinal Surgery, The First People's Hospital of Foshan, No. 81 Lingnan Avenue North, Foshan, China.
The surgical risk is higher for obese patients undergoing laparoscopic left hemicolectomy. To enhance the surgical safety and efficacy for obese patients, we have innovatively integrated the advantages of various surgical approaches to modify a pancreas-guided C-shaped surgical procedure. The safety and quality were assessed through a retrospective analysis.
View Article and Find Full Text PDFPediatr Cardiol
January 2025
Department of Infectious Disease, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, No. 1678 Dongfang Road, Pudong New Area, Shanghai, 200127, China.
Kawasaki disease (KD) is a febrile vasculitis disorder, with coronary artery lesions (CALs) being the most severe complication. Early detection of CALs is challenging due to limitations in echocardiographic equipment (UCG). This study aimed to develop and validate an artificial intelligence algorithm to distinguish CALs in KD patients and support diagnostic decision-making at admission.
View Article and Find Full Text PDFBMC Surg
January 2025
Department of Cardiothoracic Surgery, Fifth Affiliated Hospital of Sun Yat-Sen University, No.52 East Meihua Road, Zhuhai, Guangdong Province, 519000, China.
Background: Laparoscopic-assisted single-port mediastinoscopic esophagectomy is a safe and effective emerging minimally invasive esophagectomy, but little has been reported about the learning curve for this technology. The goal of the study was to determine the number of procedures to achieve different levels of proficiency on the learning curve.
Methods: This study retrospectively analyzed data from consecutive surgeries performed by the same surgeon at the same center from 2016 to 2021.
BMC Psychiatry
January 2025
Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.
Background: The neurasthenia-depression controversy has lasted for several decades. It is challenging to solve the argument by symptoms alone for syndrome-based disease classification. Our aim was to identify objective electroencephalography (EEG) measures that can differentiate neurasthenia from major depressive disorder (MDD).
View Article and Find Full Text PDFNPJ Syst Biol Appl
January 2025
Department of Bioscience & Bioengineering, Indian Institute of Technology, Jodhpur, Rajasthan, India.
Classification of adenocarcinoma (AC) and squamous cell carcinoma (SCC) poses significant challenges for cytopathologists, often necessitating clinical tests and biopsies that delay treatment initiation. To address this, we developed a machine learning-based approach utilizing resected lung-tissue microbiome of AC and SCC patients for subtype classification. Differentially enriched taxa were identified using LEfSe, revealing ten potential microbial markers.
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