关于宫病变的进展,复发和回归的前性研究:评估各种查方法
Tudor Gisca1, Iulian-Valentin Munteanu2, Ingrid-Andrada Vasilache1
1Department of Mother and Child Care, "Grigore T. Popa" University of Medicine and Pharmacy Iasi, 700115 Iasi, Romania.
Journal of clinical medicine
|April 9, 2024
概括
在HPV阳性患者中预测宫病变的进展至关重要. 帕普涂抹,HPV基因型,p16/Ki67染色和风险因素的组合准确预测进展,但回归和持久性预测需要进一步改进.
科学领域:
- 妇科 妇科 妇科 妇科
- 在瘤学瘤学.
- 病毒学 病毒学
背景情况:
- 预测宫病变的演变是一个临床挑战.
- 人类乳头瘤病毒 (HPV) 感染是宫病变的主要原因.
- 准确预测病变行为对于患者管理至关重要.
研究的目的:
- 为了比较细胞学,HPV基因型定型和p16/Ki67双染色的预测准确度.
- 评估这些测试与临床风险因素的联合预测性能.
- 预测HPV感染患者宫病变的进展,回归或持续.
主要方法:
- 对具有或没有宫病变的HPV阳性患者进行前性研究.
- 对宫细胞学,HPV基因型定型,p16/Ki67双染色 (CINtecPlus) 和临床风险因素的单个和综合预测性能的评估.
- 包括敏感度,特异性和AUC在内的统计分析用于预测损伤结果.
主要成果:
- 一个结合HSIL帕普涂抹,HPV 16/18,阳性p16/Ki67和≥3个风险因素的模型显示出高预测进展的性能 (Se 74.42%,Sp 97.92%,AUC 0.961,准确率90.65%).
- 单个或组合测试显示,宫病变回归或持久性的预测性表现适度.
- 多种生物标志物和风险因素的组合有效预测宫病变的进展.
结论:
- 目前的方法在预测宫病变进展方面显示出高准确度.
- 需要改进的监测策略,可能涉及多个测试或新生物标志物,以便更好地预测病变回归或持续性.
- 进一步的研究是有必要的,以提高宫病变回归和HPV阳性个体的持续性的预测.
更多相关视频
06:15Author Spotlight: Anterior HR-OCT as a Non-Invasive Tool for Characterizing Ocular Surface Squamous Neoplasia
Published on: August 9, 2024
1.2K
07:43Four-color Fluorescence Immunohistochemistry of T-cell Subpopulations in Archival Formalin-fixed, Paraffin-embedded Human Oropharyngeal Squamous Cell Carcinoma Samples
Published on: July 29, 2017
9.7K
相关概念视频
02:07Tumor Progression
6.3K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.3K
01:21Cancer Survival Analysis
345
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
345