PMID- 20441233
OWN - NLM
STAT- MEDLINE
DCOM- 20100730
LR  - 20221207
IS  - 1533-0338 (Electronic)
IS  - 1533-0346 (Print)
IS  - 1533-0338 (Linking)
VI  - 9
IP  - 3
DP  - 2010 Jun
TI  - Automated analysis of fluorescent in situ hybridization (FISH) labeled genetic 
      biomarkers in assisting cervical cancer diagnosis.
PG  - 231-42
AB  - The numerical and/or structural deviation of some chromosomes (i.e., monosomy and 
      _polysomy of chromosomes 3 and X) are routinely used as positive genetic 
      biomarkers to diagnose cervical cancer and predict the disease progression. Among 
      the available diagnostic methods to analyze the aneusomy of chromosomes 3 and X, 
      fluorescence in situ hybridization (FISH) technology has demonstrated significant 
      advantages in assisting clinicians to more accurately detect and diagnose 
      cervical carcinoma at an early stage, in particular for the women at a high risk 
      for progression of low-grade and high-grade squamous intra-epithelium lesions 
      (LSIL and HSIL). In order to increase the diagnostic accuracy, consistency, and 
      efficiency from that of manual FISH analysis, this study aims to develop and test 
      an automated FISH analysis method that includes a two-stage scheme. In the first 
      stage, an interactive multiple-threshold algorithm is utilized to segment 
      potential interphase nuclei candidates distributed in different intensity levels 
      and a rule-based classifier is implemented to identify analyzable interphase 
      cells. In the second stage, FISH labeled biomarker spots of chromosomes 3 and X 
      are segmented by a top-hat transform. The independent FISH spots are then 
      detected by a knowledge-based classifier, which enables recognition of the 
      splitting and stringy FISH signals. Finally, the ratio of abnormal interphase 
      cells with numerical changes of chromosomes 3 and X is calculated to detect 
      positive cases. The experimental results of four test cases showed high agreement 
      of FISH analysis results between the automated scheme and the cytogeneticist's 
      analysis including 92.7% to 98.7% agreement in cell segmentation and 4.4% to 
      11.0% difference in cell classification. This preliminary study demonstrates the 
      feasibility of potentially applying the automatic FISH analysis method to 
      expedite the screening and detecting cervical cancer at an early stage.
FAU - Wang, Xingwei
AU  - Wang X
AD  - Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, 
      15213, USA.
FAU - Zheng, Bin
AU  - Zheng B
FAU - Zhang, Roy R
AU  - Zhang RR
FAU - Li, Shibo
AU  - Li S
FAU - Chen, Xiaodong
AU  - Chen X
FAU - Mulvihill, John J
AU  - Mulvihill JJ
FAU - Lu, Xianglan
AU  - Lu X
FAU - Pang, Hui
AU  - Pang H
FAU - Liu, Hong
AU  - Liu H
LA  - eng
GR  - R01 CA136700/CA/NCI NIH HHS/United States
GR  - R01 CA136700-01/CA/NCI NIH HHS/United States
GR  - CA136700/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  - Technol Cancer Res Treat
JT  - Technology in cancer research & treatment
JID - 101140941
RN  - 0 (Biomarkers, Tumor)
SB  - IM
MH  - Automation
MH  - Biomarkers, Tumor/*analysis/genetics
MH  - Female
MH  - Humans
MH  - In Situ Hybridization, Fluorescence/*methods
MH  - Uterine Cervical Neoplasms/*diagnosis/*genetics
MH  - Vaginal Smears
MH  - Uterine Cervical Dysplasia/diagnosis/genetics
PMC - PMC2916642
MID - NIHMS220245
EDAT- 2010/05/06 06:00
MHDA- 2010/07/31 06:00
PMCR- 2011/06/01
CRDT- 2010/05/06 06:00
PHST- 2010/05/06 06:00 [entrez]
PHST- 2010/05/06 06:00 [pubmed]
PHST- 2010/07/31 06:00 [medline]
PHST- 2011/06/01 00:00 [pmc-release]
AID - c4307/Automated-Analysis-of-Fluorescent-in-situ-Hybridization-FISH-Labeled-Genetic-Biomarkers-in-Assisting-Cervical-Cancer-Diagnosis-231-242-p17785.html 
      [pii]
AID - 10.1177/153303461000900302 [doi]
PST - ppublish
SO  - Technol Cancer Res Treat. 2010 Jun;9(3):231-42. doi: 10.1177/153303461000900302.