PMID- 22935778
OWN - NLM
STAT- MEDLINE
DCOM- 20130909
LR  - 20211021
IS  - 2210-7185 (Electronic)
IS  - 2210-7177 (Print)
IS  - 2210-7177 (Linking)
VI  - 35
IP  - 5-6
DP  - 2012
TI  - Fluorescence in situ hybridization (FISH) signal analysis using automated 
      generated projection images.
PG  - 395-405
LID - 10.3233/ACP-2012-0068 [doi]
AB  - Fluorescence in situ hybridization (FISH) tests provide promising molecular 
      imaging biomarkers to more accurately and reliably detect and diagnose cancers 
      and genetic disorders. Since current manual FISH signal analysis is low-efficient 
      and inconsistent, which limits its clinical utility, developing automated FISH 
      image scanning systems and computer-aided detection (CAD) schemes has been 
      attracting research interests. To acquire high-resolution FISH images in a 
      multi-spectral scanning mode, a huge amount of image data with the stack of the 
      multiple three-dimensional (3-D) image slices is generated from a single 
      specimen. Automated preprocessing these scanned images to eliminate the 
      non-useful and redundant data is important to make the automated FISH tests 
      acceptable in clinical applications. In this study, a dual-detector fluorescence 
      image scanning system was applied to scan four specimen slides with FISH-probed 
      chromosome X. A CAD scheme was developed to detect analyzable interphase cells 
      and map the multiple imaging slices recorded FISH-probed signals into the 2-D 
      projection images. CAD scheme was then applied to each projection image to detect 
      analyzable interphase cells using an adaptive multiple-threshold algorithm, 
      identify FISH-probed signals using a top-hat transform, and compute the ratios 
      between the normal and abnormal cells. To assess CAD performance, the FISH-probed 
      signals were also independently visually detected by an observer. The Kappa 
      coefficients for agreement between CAD and observer ranged from 0.69 to 1.0 in 
      detecting/counting FISH signal spots in four testing samples. The study 
      demonstrated the feasibility of automated FISH signal analysis that applying a 
      CAD scheme to the automated generated 2-D projection images.
FAU - Wang, Xingwei
AU  - Wang X
AD  - Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA.
FAU - Chen, Xiaodong
AU  - Chen X
FAU - Li, Yuhua
AU  - Li Y
FAU - Liu, Hong
AU  - Liu H
FAU - Li, Shibo
AU  - Li S
FAU - Zhang, Roy R
AU  - Zhang RR
FAU - Zheng, Bin
AU  - Zheng B
LA  - eng
GR  - R01 CA115320/CA/NCI NIH HHS/United States
GR  - R01 CA136700/CA/NCI NIH HHS/United States
GR  - CA136700/CA/NCI NIH HHS/United States
GR  - CA115320/CA/NCI NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Anal Cell Pathol (Amst)
JT  - Analytical cellular pathology (Amsterdam)
JID - 101541993
RN  - 0 (Fluorescent Dyes)
SB  - IM
MH  - Algorithms
MH  - Automation
MH  - Cell Nucleus/metabolism
MH  - Chromosomes, Human, X/metabolism
MH  - Female
MH  - Fluorescent Dyes/metabolism
MH  - Humans
MH  - Imaging, Three-Dimensional/*methods
MH  - In Situ Hybridization, Fluorescence/*methods
MH  - Interphase
MH  - *Signal Processing, Computer-Assisted
MH  - Spectrometry, Fluorescence
PMC - PMC3496037
MID - NIHMS407189
EDAT- 2012/09/01 06:00
MHDA- 2013/09/10 06:00
PMCR- 2012/08/30
CRDT- 2012/09/01 06:00
PHST- 2012/09/01 06:00 [entrez]
PHST- 2012/09/01 06:00 [pubmed]
PHST- 2013/09/10 06:00 [medline]
PHST- 2012/08/30 00:00 [pmc-release]
AID - 3R0K007464000T43 [pii]
AID - 248158 [pii]
AID - 10.3233/ACP-2012-0068 [doi]
PST - ppublish
SO  - Anal Cell Pathol (Amst). 2012;35(5-6):395-405. doi: 10.3233/ACP-2012-0068.