Digital pathology in nephrology clinical trials, research, and pathology practice.
Digital pathology in nephrology clinical trials, research, and pathology practice.
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DOI：
10.1097/mnh.0000000000000360
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发表时间：
2017-11
影响因子：
3.2
通讯作者：
Hodgin JB
中科院分区：
文献类型：
--
作者：
Barisoni L;Hodgin JB
在这篇综述中，我们将讨论（i）数字技术和计算工程的最新进展目前如何在临床研究，试验和实践中应用于肾脏病理学;（ii）新数字环境的好处;（iii）认识到其挑战如何提供转型的机会;（iv）肾脏病理学在即将到来的肾脏精确和预测医学时代。最近的研究强调了新的标准化协议如何促进数字病理学数据库基础设施和形态学，形态测量和计算机辅助定量分析的协调。数字病理学为临床试验和研究提供了强大的协议，有可能识别以前未充分使用或未被识别的临床有用参数。数字病理学与分子特征的整合正在引领建立肾脏疾病的临床相关形态学分类的道路。在临床研究和试验中引入数字病理学，以及现代软件生态系统的逐步实施，为开发新的预测诊断范式和计算机辅助算法提供了机会，将肾脏疾病的实践转变为现代计算科学。
In this review, we will discuss (i) how the recent advancements in digital technology and computational engineering are currently applied to nephropathology in the setting of clinical research, trials, and practice; (ii) the benefits of the new digital environment; (iii) how recognizing its challenges provides opportunities for transformation; and (iv) nephropathology in the upcoming era of kidney precision and predictive medicine. Recent studies highlighted how new standardized protocols facilitate the harmonization of digital pathology database infrastructure and morphologic, morphometric, and computer-aided quantitative analyses. Digital pathology enables robust protocols for clinical trials and research, with the potential to identify previously underused or unrecognized clinically useful parameters. The integration of digital pathology with molecular signatures is leading the way to establishing clinically relevant morphoomic taxonomies of renal diseases. The introduction of digital pathology in clinical research and trials, and the progressive implementation of the modern software ecosystem, opens opportunities for the development of new predictive diagnostic paradigms and computer-aided algorithms, transforming the practice of renal disease into a modern computational science.