A comprehensive study of telecytology using robotic digital microscope and single Z-stack digital scan for fine-needle aspiration-rapid on-site evaluation

Background: The current technology for remote assessment of fine-needle aspiration-rapid on-site evaluation (FNA-ROSE) is limited. Recent advances may provide solutions. This study compared the performance of VisionTek digital microscope (VDM) (Sakura, Japan) and Hamamatsu NanoZoomer C9600-12 single...

Full description

Saved in:
Bibliographic Details
Main Authors: Keluo Yao (Author), Rulong Shen (Author), Anil Parwani (Author), Zaibo Li (Author)
Format: Book
Published: Elsevier, 2018-01-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_845dc26b36f84c3dbdbf913c3c89f72d
042 |a dc 
100 1 0 |a Keluo Yao  |e author 
700 1 0 |a Rulong Shen  |e author 
700 1 0 |a Anil Parwani  |e author 
700 1 0 |a Zaibo Li  |e author 
245 0 0 |a A comprehensive study of telecytology using robotic digital microscope and single Z-stack digital scan for fine-needle aspiration-rapid on-site evaluation 
260 |b Elsevier,   |c 2018-01-01T00:00:00Z. 
500 |a 2153-3539 
500 |a 2153-3539 
500 |a 10.4103/jpi.jpi_75_18 
520 |a Background: The current technology for remote assessment of fine-needle aspiration-rapid on-site evaluation (FNA-ROSE) is limited. Recent advances may provide solutions. This study compared the performance of VisionTek digital microscope (VDM) (Sakura, Japan) and Hamamatsu NanoZoomer C9600-12 single Z-stack digital scan (SZDS) to conventional light microscopy (CLM) for FNA-ROSE. Methods: We assembled sixty FNA cases from the thyroid (n = 16), lymph node (n = 16), pancreas (n = 9), head and neck (n = 9), salivary gland (n = 5), lung (n = 4), and rectum (n = 1) based on a single institution's routine workflow. One Diff-Quik-stained slide was selected for each case. Two board-certified cytopathologists independently evaluated the cases using VDM, SZDS, and CLM. A "washout" period of at least 14 days was placed between the reviews. The results were categorized into satisfactory versus unsatisfactory for adequacy assessment (AA) and unsatisfactory, benign, atypical, suspicious, and malignant for preliminary diagnosis (PD). Results: For AA, the Cohen's kappa statistics (CKS) scores of intermodality agreement (IMA) were 0.74-0.94 (CLM vs. VDM) and 0.86-1 (CLM vs. SZDS). The discordant rates of IMA were 3.3% (4/120) for VDM versus CLM, and 1.7% (2/120) for SZDS versus CLM. For PD, the CKS scores of IMA ranged 0.7-0.93. The overall discordant rates of IMA were 15% (18/120) for CLM versus VDM and 10.8% (13/120) for CLM versus SZDS. The discordant rates of IMA with 2 or higher degrees were 5.8% (7/120) for CLM versus VDM and 1.7% (2/120) for CLM versus SZDS. The average time spent per slide was 270 s for VDM, significantly longer than that for CLM (113 s) or for SZDS (122 s). Conclusions: Our data demonstrate that both VDM and SZDS are suitable to provide AA and reasonable PD evaluation. VDM, however, has a significantly longer turnaround time and worse diagnostic performance. The study demonstrates both the potentials and challenges of using VDM and SZDS for FNA-ROSE. 
546 |a EN 
690 |a Adequacy assessment 
690 |a Cohen's kappa statistics 
690 |a conventional light microscopy 
690 |a fine-needle aspiration-rapid on-site evaluation 
690 |a intermodality agreement 
690 |a NanoZoomer 
690 |a preliminary diagnosis 
690 |a single Z-stack digital scan 
690 |a Telecytology 
690 |a VisionTek digital microscope 
690 |a Computer applications to medicine. Medical informatics 
690 |a R858-859.7 
690 |a Pathology 
690 |a RB1-214 
655 7 |a article  |2 local 
786 0 |n Journal of Pathology Informatics, Vol 9, Iss 1, Pp 49-49 (2018) 
787 0 |n http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2018;volume=9;issue=1;spage=49;epage=49;aulast=Yao 
787 0 |n https://doaj.org/toc/2153-3539 
787 0 |n https://doaj.org/toc/2153-3539 
856 4 1 |u https://doaj.org/article/845dc26b36f84c3dbdbf913c3c89f72d  |z Connect to this object online.