超声和磁共振成像在胎盘植入产前诊断应用的系统评价
PDF下载 (249)罗书影,符冉迪,宣荣荣,金 炜.超声和磁共振成像在胎盘植入产前诊断应用的系统评价[J].宁波大学学报(理工版),2021,34(5):22-32.DOI:
LUO Shuying,FU Randi,XUAN Rongrong,JIN Wei.Systematic review on ultrasound and magnetic resonance imaging for prenatal diagnosis of placenta accreta[J].Journal of Ningbo University(Natural Science & Engineering Edition),2021,34(5):22-32.DOI:
| Title: | Systematic review on ultrasound and magnetic resonance imaging for prenatal diagnosis of placenta accreta |
| 作者: | 罗书影, 符冉迪, 宣荣荣, 金 炜 |
| Author(s): | LUO Shuying, FU Randi, XUAN Rongrong, JIN Wei |
| 关键词: | 胎盘植入; 超声; 磁共振成像; 产前诊断; 影像组学 |
| Keywords: | placenta accreta; ultrasound; magnetic resonance imaging; prenatal diagnosis; radiomics |
| 分类号: | R714.46+2 |
| 文献标识码: | A |
| 摘要: | 为评价超声(Ultrasound, US)和磁共振成像(Magnetic Resonance Imaging, MRI)在胎盘植入(Placenta Accreta, PA)产前诊断上的应用价值, 就近年来US和MRI在PA产前诊断的研究进展进行了综述, 并展望了该领域未来的研究方向. 首先, 总结分析了PA在US成像和MRI中的表现, 且对两者的诊断性能进行了比较, 得出两者在诊断的准确性上无显著差异, US成像仍是主要的筛查工具, MRI作为辅助手段在识别PA的形貌和深度以及描述胎盘后壁方面具有较大优势; 然后, 提出了目前PA产前诊断所面临的挑战, 对新研究方向及发展趋势进行了展望, 分析了机器学习结合影像组学在PA产前诊断上的应用, 认为该应用具有重大意义, 可使诊断结果更加准确, 同时可为临床医生进行多学科管理和早期制定方案提供更有价值的参考. |
| Abstract: | This study evaluates the functionalities of ultrasound (US) and magnetic resonance imaging (MRI) in the diagnosis of placenta accreta (PA). In this paper, we provide a comprehensive overview of the recent research efforts on prenatal diagnosis of PA with US and MRI and look forward to future research directions in this field. We first summarize and analyze the performance of PA in US and MRI images and compare their diagnostic functions, reaching a conclusion that there is no significant difference in diagnostic accuracy between the two. US imaging is still the main instrument for screening. As an auxiliary means, MRI, on the other hand, shows great advantages in identifying the topography and depth of PA as well as describing the posterior wall of placenta. Based on the work aforementioned, we address some potential challenges, the new research direction and development trend. The application of machine learning combined with radiomics in the diagnosis of PA is also probed. It is believed that this study is of great significance in the sense of system accuracy improvement and applicability, and offers valuable reference for early-stage R&D in the relevant industry. |
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| 备注/Memo: | 收稿日期: 2020－12－29. 宁波大学学报（理工版）网址: http://journallg.nbu.edu.cn/ 基金项目: 浙江省自然科学基金（LY20H180003）; 宁波市自然科学基金（2019A610104）; 王宽诚教育基金. 第一作者: 罗书影（1996－）, 女, 安徽亳州人, 在读硕士研究生, 主要研究方向: 医学影像处理. E-mail: 826394724@qq.com *通信作者: 符冉迪（1971－）, 男, 浙江宁波人, 副教授, 主要研究方向: 数字图像处理. E-mail: furandi_nbu@163.com 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
