Associations Between Preoperative Inflammatory Indices and Residual or Recurrent Cervical Intraepithelial Neoplasia Post Loop Electrosurgical Excision Procedure.

Background: High-grade cervical intraepithelial neoplasia (CIN2/3) is a precursor to invasive cervical cancer, necessitating effective management. While the Loop Electrosurgical Excision Procedure (LEEP) is a successful treatment, recurrence remains a significant concern. This study evaluates the predictive value of preoperative immune-inflammatory markers, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII), in assessing the risk of residual or recurrent CIN post-LEEP.

A Random Survival Forest Model for Predicting Residual and Recurrent High-Grade Cervical Intraepithelial Neoplasia in Premenopausal Women.

Purpose: Loop electrosurgical excision procedure (LEEP) for high-grade cervical intraepithelial neoplasia (CIN) carries significant risks of recurrence and persistence. This study compares the efficacy of a random survival forest (RSF) model with that of a conventional Cox regression model for predicting residual and recurrent high-grade CIN in premenopausal women after LEEP.

Methods: Data from 458 premenopausal women treated for CIN2/3 at our hospital between 2016 and 2020 were analyzed.

Machine Learning Prediction of Residual and Recurrent High-Grade CIN Post-LEEP.

Purpose: This study aims to develop a machine learning (ML) model to predict the risk of residual or recurrent high-grade cervical intraepithelial neoplasia (CIN) after loop electrosurgical excision procedure (LEEP), addressing a critical gap in personalized follow-up care.

Methods: A retrospective analysis of 532 patients who underwent LEEP for high-grade CIN at Cangzhou Central Hospital (2016-2020) was conducted. In the final analysis, 99 women (18.

HPV E6/E7 mRNA combined with thin-prep cytology test for the diagnosis of residual/recurrence after loop electrosurgical excision procedure in patients with cervical intraepithelial neoplasia.

To evaluate the diagnostic value of combining HPV E6/E7 mRNA testing with Thin-Prep cytology (TCT) for residual/recurrence detection, a total of 289 patients who underwent loop electrosurgical excision procedure (LEEP) for high-grade cervical lesions were included. Patients were followed up at different time points, and residual/recurrent lesions were confirmed through vaginoscopy. TCT, HPV-DNA, and HPV E6/E7 mRNA tests were conducted.

Association between sensitivity to thyroid hormone indices and osteoporosis in euthyroid patients with type 2 diabetes mellitus.

Background: Thyroid hormones are known to regulate bone metabolism and may influence bone mineral density (BMD), as well as the risk of osteoporosis (OP) and fractures in patients with type 2 diabetes mellitus (T2DM). Recently, sensitivity to thyroid hormone indices has been linked with T2DM and OP independently. However, the relationship between thyroid hormone sensitivity and OP in euthyroid T2DM patients has yet to be investigated.

Development of Machine Learning Models for Predicting Osteoporosis in Patients with Type 2 Diabetes Mellitus-A Preliminary Study.

Purpose: Diagnosing osteoporosis in T2DM based on bone mineral density (BMD) remains challenging. We sought to develop prediction models employing machine learning algorithms for use as screening instruments for osteoporosis in T2DM patients.

Patients And Methods: Data were collected from 433 participants and analyzed using nine categorical machine learning algorithms to select features based on demographic and clinical variables.

ARFHPV E7 oncogene, lncRNA HOTAIR, miR-331-3p and its target, NRP2, form a negative feedback loop to regulate the apoptosis in the tumorigenesis in HPV positive cervical cancer.

The objective of this study was to explore the role of HOTAIR in the development of cervical cancer, as well as its downstream signaling pathway. We conducted computational analysis, luciferase assay to explore downstream of HOTAIR and miR-331-3p. Real-time PCR and Western blot were carried out to detect the relationship among E7, HOTAIR, miR-331-3p, NRP2, and P53.