Understanding digital pathology performance: an eye tracking study

被引:4
作者
Koh, Amanda [1 ]
Roy, Dorina [1 ]
Gale, Alastair [2 ]
Mihai, Raluca [3 ]
Atwal, Gurprit [3 ]
Ellis, Ian [3 ]
Snead, David [4 ]
Chen, Yan [1 ]
机构
[1] Univ Nottingham, Nottingham, England
[2] Loughborough Univ, Loughborough, Leics, England
[3] Nottingham Univ Hosp NHS Trust, Nottingham, England
[4] Univ Hosp Coventry & Warwickshire NHS Trust, Coventry, W Midlands, England
来源
MEDICAL IMAGING 2020: IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT | 2020年 / 11316卷
关键词
digital pathology; whole slide imaging; eye tracking;
D O I
10.1117/12.2550513
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Pathology in the UK is on the verge of transformation from analogue to digital practice through the development of digital pathology (DP). Advances in technology has allowed for this change to occur through the use of high-throughput slide scanners to obtain whole histopathology glass slides onto computer workstations rather than the use of a conventional light microscope (LM). Previous studies have shown that the use of digital imaging to view histopathology slides has proven to be of benefit to pathology departments. It allows pathologists to analyse samples remote from the laboratory, making sharing of the slides between pathologists more straight-forward, and also enables expert review out of hours. With the ability to electronically transfer slides from the laboratory to the reporting pathologist, it may provide solutions for local shortages of pathologists across NHS trusts in the UK. However, a number of researchers argue that the costs of implementing digital pathology may outweigh its advantages. Moreover, images produced by DP systems are often of inferior resolution when compared to conventional light microscopy. The lack of literature on this subject limits the adoption of this new technology by laboratories across the country. This multi-centre study aims to analyse how the study pathologists examine DP images of different pathology modalities by using eye-tracking technology, thus using data on their reading and interpretation technique to improve performance and contribute to the adoption of DP across the UK.
引用
收藏
页数:7
相关论文
共 8 条
[1]   Accuracy is in the eyes of the pathologist: The visual interpretive process and diagnostic accuracy with digital whole slide images [J].
Brunye, Tad T. ;
Mercan, Ezgi ;
Weaver, Donald L. ;
Elmore, Joann G. .
JOURNAL OF BIOMEDICAL INFORMATICS, 2017, 66 :171-179
[2]   Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology [J].
Campanella, Gabriele ;
Rajanna, Arjun R. ;
Corsale, Lorraine ;
Schuffler, Peter J. ;
Yagi, Yukako ;
Fuchs, Thomas J. .
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2018, 65 :142-151
[3]  
Cross Simon., 2018, Best practice recommendations for implementing digital pathology
[4]  
Dong L, 2018, INT SOC OPTICS PHOTO
[5]  
Ersoy I., 2017, MICROSC MICROANALYSI, V23, P248
[6]   Characterizing the development of visual search expertise in pathology residents viewing whole slide images [J].
Krupinski, Elizabeth A. ;
Graham, Anna R. ;
Weinstein, Ronald S. .
HUMAN PATHOLOGY, 2013, 44 (03) :357-364
[7]  
Nodine C.F., 2010, The handbook of medical image perception and techniques, P139
[8]   Overview of telepathology, virtual microscopy, and whole slide imaging: prospects for the future [J].
Weinstein, Ronald S. ;
Graham, Anna R. ;
Richter, Lynne C. ;
Barker, Gail P. ;
Krupinski, Elizabeth A. ;
Lopez, Ana Maria ;
Erps, Kristine A. ;
Bhattacharyya, Achyut K. ;
Yagi, Yukako ;
Gilbertson, John R. .
HUMAN PATHOLOGY, 2009, 40 (08) :1057-1069