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Background: The learning curve (LC) is the process of mastering a new technique. This study assesses the LC for robotic-assisted peritoneal flap gender-affirming vaginoplasty (RPGAV).
Methods: A retrospective chart review of all consecutive patients undergoing RPGAV between 09/2017 and 02/2023 at a single center was performed. Operative times (OT) were analyzed to describe the LC. A cutoff point was determined after which OT stabilized, and this was used to compare perioperative and postoperative outcomes.
Results: Five hundred RPGAVs were performed. Median OT was 125 (interquartile range 105-181) minutes and decreased significantly over time. The minimum number of cases required to observe a plateau in OT is 300 patients.After adjusting for the LC, 2 variables significantly affected OT: a 1-point increase in body mass index increased OT by 1.4 minutes [95% confidence interval (1.0, 1.9), P < 0.001] and the single port robot decreased OT by 34 minutes [95% CI 1 (-43.1, -25.0), P < 0.001] as compared to the traditional multiport Xi robot.When comparing the first 300 cases (learning phase) to the last 200 (expert phase), length of stay, blood transfusions, and rates of elective revision surgery were lower in the expert phase.
Conclusions: The LC for RPGAV in this large cohort was 300 cases. Patient body mass index causes a dose-response increase in OT and the single port robot dramatically decreases OT. Although OT is just one facet of overall efficiency, differences between learning and expert phases are evident in decreased length of stay, transfusions, and rates of revision surgery.
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http://dx.doi.org/10.1097/SAP.0000000000004265 | DOI Listing |
Front Oncol
August 2025
Department of Radiology, The Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, China.
Objectives: Lymph node metastasis (LNM) is an important factor affecting the stage and prognosis of patients with lung adenocarcinoma. The purpose of this study is to explore the predictive value of the stacking ensemble learning model based on F-FDG PET/CT radiomic features and clinical risk factors for LNM in lung adenocarcinoma, and elucidate the biological basis of predictive features through pathological analysis.
Methods: Ninety patients diagnosed with lung adenocarcinoma who underwent PET/CT were retrospectively analyzed and randomly divided into the training and testing sets in a 7:3 ratio.
Front Oncol
August 2025
Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
Purpose: Identifying radiomics features that help predict whether glioblastoma patients are prone to developing epilepsy may contribute to an improvement of preventive treatment and a better understanding of the underlying pathophysiology.
Materials And Methods: In this retrospective study, 3-T MRI data of 451 pretreatment glioblastoma patients (mean age: 61.2 ± 11.
J Inflamm Res
September 2025
Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Introduction: While nucleus pulposus cell (NPC) degeneration is a primary driver of intervertebral disc degeneration (IVDD), the cellular heterogeneity and molecular interactions underlying NPC degeneration remain poorly characterized. Previous studies have shown that EGFR signaling plays a significant role in NPC differentiation and collagen matrix production. Consequently, this study aims to identify the critical downstream regulatory molecule of EGFR in the process of NPC degeneration.
View Article and Find Full Text PDFBiochem Biophys Rep
June 2025
Department of Public Health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Background: Synaptic dysfunction and synapse loss occur in Alzheimer's disease (AD). The current study aimed to identify synaptic-related genes with diagnostic potential for AD.
Methods: Differentially expressed genes (DEGs) were overlapped with phenotype-associated module selected through weighted gene co-expression network analysis (WGCNA), and synaptic-related genes.
Front Endocrinol (Lausanne)
September 2025
Department of Orthopedics I, Second Affiliated Hospital, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China.
Background: Emerging evidence indicates that lactase-mediated histone lactylation can activate osteogenic gene expression and promote bone formation. However, the role of lactylation-related genes (LRGs) in osteoporosis (OP) remains unclear. This study aims to clarify the key roles of LRGs and the molecular mechanisms of related biomarkers in OP.
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