Suppr超能文献

当前和未来技术在评估佩罗尼病中的应用方向。

Current and Future Directions of Technology in Assessment of Peyronie's Disease.

机构信息

Department of Urology, Mayo Clinic Rochester, 200 First St.SW, Rochester, MN, MN 55905, USA.

出版信息

Curr Urol Rep. 2024 Oct 29;26(1):15. doi: 10.1007/s11934-024-01247-z.

Abstract

PURPOSE OF REVIEW

This review assesses the effectiveness of various imaging modalities for diagnosing and managing Peyronie's disease (PD), exploring their clinical utility and limitations.

RECENT FINDINGS

Ultrasonography, currently the only modality endorsed by the American Urological Association, effectively detects calcifications and assesses vascular status but struggles with identifying non-palpable plaques. Computed tomography and magnetic resonance imaging provide detailed anatomical views but are costly along with other deterring factors. Autophotography and 3-dimensional imaging offer convenient home assessments but with variable accuracy. Elastography improves upon traditional ultrasonography, while emerging AI technologies show promise for automating precise curvature assessments, pending further validation. A combined approach tailored to each individual patient based on their needs enhances diagnostic accuracy. Supplementing ultrasonography with elastography and potentially AI could improve diagnostic outcomes and better guide treatment decisions. Continued research is vital to integrate these advancements into standard clinical practice and develop updated standardized protocols.

摘要

目的综述

本文评估了各种影像学模式在诊断和管理 Peyronie 病 (PD) 中的有效性,探讨了它们的临床实用性和局限性。

最近的发现

超声检查是目前唯一被美国泌尿外科学会认可的模式,可有效检测钙化并评估血管状态,但难以识别不可触及的斑块。计算机断层扫描和磁共振成像提供详细的解剖视图,但成本较高,还有其他一些阻碍因素。自摄影和 3 维成像提供了方便的家庭评估,但准确性存在差异。弹性成像是对传统超声检查的改进,而新兴的人工智能技术有望实现精确曲率评估的自动化,有待进一步验证。根据患者的需求,为每个患者量身定制的联合方法可以提高诊断准确性。超声检查联合弹性成像和可能的人工智能技术可以改善诊断结果,更好地指导治疗决策。将这些进展纳入标准临床实践并制定更新的标准化方案,需要持续的研究。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验